Community momentum rankings
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Community-driven momentum rankings powered by votes, ratings, and real audience trends.
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Contributors
ABYSS
AdinRoss
auslots
AverageDad
AyeZee
BennySlots
BenPhillips
Bigfoltz
BigRed
BlondeRabbit
Cabrzy
Classybeef
ClubChedda
CosmicPower
d3_rs
DAILYGambling
debt
DionInsanity
DoddytheViking
DylanJamesGG
Eddie
Filthy
foss
FrankDimes
Fuhrergoat
funnyhoodvidz
FunnySlots
GamDucks
Genwinindian
GrayGray
iceinmyvein
icesol
imbones
IVANB
Jared
KyleTooReal
Kyootbot
LamineKick
Lekxxie
lepajee
Loulz
MagicMeli
Mascoobs
MochaGambles
moonbootmurphy
Moonlight2019
Moose
Motivation
nsbrooklyntv
oneeyedgregg
Outlaw
Papaonwing
paryeet
Pika
Pinota
PPiercee
Pulmonary
PURGESLOTS
PYREXXGamble
Rbehflix
rekoj
RiskyDegens
rollupjohnnyy
ronnieradke
Roshtein
rosiemae
Rydurz
Samjuniortv
schneckyirl
SH4NE_R
SokoGambles
sollunixa
spectretvclub
spencelocks
Spinlife
SteveWillDoIt
SultanGamba
SweetFlips
TheDoctor
TheGambler1999
TheGoobr
TrainwrecksTV
Tyceno
VikingSlots
w
wino87
wuskin
x2Pac_ThuGLorD
X7Dave
Xposed
xQc
Yassuo
ZingoSquad
Top 3
| #1 | 0.00 Momentum | $1,727.43 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 131.22 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 181.35 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.17 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.74 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 217 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #2 | 0.00 Momentum | $659.84 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 35,996.15 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 29,734.68 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.47 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.82 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 170 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #3 | 0.00 Momentum | $377.70 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 81.02 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 77.11 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.35 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 0.99 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.77 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 59 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
Contenders to the throne
Votes are trust-scored and combined with site-wide ratings + real viewer trend signals, so view-botting and tiny samples don't move the needle much.
| #4 | 0.00 Momentum | $255.29 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 561.21 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 520.16 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.39 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.83 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 1,058 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #5 | 
Plays on
Shuffle ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $189.07 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 274.48 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 293.51 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.29 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.74 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 288 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #6 |
Plays on
Gamdom ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $148.39 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 392.95 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 432.96 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.27 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.77 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 168 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #7 | 0.00 Momentum | $121.23 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 0 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 0 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.33 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 0 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 1 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 0 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #8 |
Plays on
Shuffle ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $102.00 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 241.02 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 311.08 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.18 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.70 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 145 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #9 |
Plays on
Roobet ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $87.78 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 353.53 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 255.04 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.59 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.63 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 219 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #10 | 0.00 Momentum | $76.91 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 1,145.84 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 824.84 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.59 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.85 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 223 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #11 | 0.00 Momentum | $68.36 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 195.95 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 149.43 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.49 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.64 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 96 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #12 | 
Plays on
Stake US ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $61.49 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 126.75 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 132.36 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.31 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.86 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 377 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #13 |
Plays on
Stake ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $55.87 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 500.51 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 627.25 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.20 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.70 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 76 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #14 | 0.00 Momentum | $51.20 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 1,398.47 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 1,468.81 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.30 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.74 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 135 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #15 | 0.00 Momentum | $47.27 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 189.53 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 194.99 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.32 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 0.79 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.81 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 19 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #16 |
Plays on
Stake ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $43.91 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 2,122.18 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 2,009.79 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.37 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.80 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 1,090 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #17 |
Plays on
Roobet ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $41.03 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 181.19 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 142.74 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.46 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.69 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 422 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #18 |
Plays on
Stake ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $38.53 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 119.35 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 107.86 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.37 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.84 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 461 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #19 | 0.00 Momentum | $36.34 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 144.55 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 156.15 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.29 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.64 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 93 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #20 |
Plays on
Roobet ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $34.41 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 127.22 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 129.55 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.33 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.76 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 149 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #21 | 0.00 Momentum | $32.69 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 27.80 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 13.69 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.38 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 0.34 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.73 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 5 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #22 |
Plays on
Thrill ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $31.17 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 188 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 211.47 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.26 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.76 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 89 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #23 |
Plays on
Gamdom ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $29.80 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 375.36 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 589.09 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.09 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.82 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 73 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #24 | 0.00 Momentum | $28.56 Payout | ||
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 365.82 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 323.75 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.42 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.75 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 87 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
| #25 |
Plays on
Roobet ·
0 ratings · avg 0.00/5 | 0.00 Momentum | $27.45 Payout | |
Momentum details Click the row to collapse Effective ratingsEffective ratings Counts high-quality ratings after weighting and filters. Why it matters: Helps separate real signal from thin feedback. 0 Weighted averageWeighted average Weighted average rating after confidence adjustments. Why it matters: Prevents tiny sample sizes from looking stronger than they are. 0.00 Positive ratingsPositive ratings Count of favorable ratings contributing to the score. Why it matters: Shows how much positive approval exists behind the rank. 0 Ratings with textRatings with text Counts ratings that included written feedback. Why it matters: Text feedback is treated as stronger evidence than empty reactions. 0 VotesVotes Total valid leaderboard votes received this period before efficiency adjustments. Why it matters: Shows raw vote demand, but raw vote count alone does not decide the final rank. 0 Trusted unique votersTrusted unique voters Distinct trusted voters counted for this streamer. Why it matters: Reduces the impact of repeated or low-trust voting patterns. 0 Avg voter trustAvg voter trust Average trust score of counted voters. Why it matters: Higher-quality voters make vote pressure more believable. 0.0% Avg viewers 7dAvg viewers 7d Average viewers across the current 7-day window. Why it matters: Gives the model a live audience baseline. 222.78 Avg viewers prev 7dAvg viewers prev 7d Average viewers across the previous 7-day window. Why it matters: Used as the comparison baseline for trend. 219.01 Viewer trendViewer trend Relative change between the current viewer window and the previous one. Why it matters: Rewards channels whose audience is actually moving, not just coasting. 0.34 Viewer confidenceViewer confidence Confidence level in the viewer data quality. Why it matters: Lower-confidence audience data has less impact on ranking. 1.00 StabilityStability Measures how steady the audience pattern is over time. Why it matters: Stable momentum is trusted more than chaotic spikes. 0.79 Vote demandVote demand Absolute vote-demand signal after saturation controls. Why it matters: Stops giant creators from auto-winning just on raw volume. 0 Vote efficiencyVote efficiency Vote efficiency relative to audience size. Why it matters: Lets smaller but highly activated communities compete fairly. 0 Votes per viewerVotes per viewer Votes divided by audience size over the measured window. Why it matters: Tracks how hard a community actually converts into participation. 0 Viewer samples 7dViewer samples 7d Number of viewer observations captured in the 7-day window. Why it matters: More samples means more trustworthy audience signals. 83 Rating qualityRating quality Composite quality layer from ratings and confidence inputs. Why it matters: Improves rank only when approval looks believable. 0 Wilson confidenceWilson confidence Wilson confidence adjustment on ratings quality. Why it matters: Protects the board from inflated scores on tiny samples. 0 Volume strengthVolume strength Volume guard based on ratings and vote depth. Why it matters: Prevents low-activity profiles from sniping the top unfairly. 0 Momentum scoreMomentum score Final momentum score after quality, votes, trend, and guardrails. Why it matters: This is the ranking number used to order the board. 0 | ||||
How the Momentum Score works (transparent)
Plain English: We rank streamers by verified momentum, not just size. A streamer moves up when they combine strong ratings quality, trusted voter support, and healthy real-audience trend. This lets smaller streamers with real community energy compete with larger names, while down-weighting suspicious spikes and low-confidence samples.
Trusted voter support
Trusted unique voters + average voter trust + vote efficiency vs audience size
Ratings quality
Effective ratings, weighted average, positive-rate signal, and text participation
Audience trend
7-day viewers vs prior 7-day, stability, and confidence in the sample
Confidence guards
Small, noisy, or volatile samples are automatically down-weighted
Mathy / nerdy version (bounded and explainable):
We compute a core score from normalized parts for
We compute a core score from normalized parts for
quality, trusted_unique_voters, vote_efficiency, and viewer_trend. We also track avg_voter_trust, viewer confidence, and stability so the system favors believable momentum over raw noise. Then we apply guards so tiny samples cannot snipe the top and unstable spikes do not dominate:
core = 0.38·quality + 0.22·vote_abs + 0.22·vote_eff + 0.18·trend
guards = (0.65·ratings_volume + 0.35·vote_abs) · (0.70 + 0.30·stability)
score = 100 · core · guards (clamped 0..100)
Do leaderboard votes actually matter?
Yes. Votes influence ranking in two ways: (1) vote_abs rewards real interest but saturates so big creators don’t auto-win, and (2) vote_eff rewards “activation” (votes relative to audience size) so smaller creators with strong communities can beat larger creators with weaker conversion.
Yes. Votes influence ranking in two ways: (1) vote_abs rewards real interest but saturates so big creators don’t auto-win, and (2) vote_eff rewards “activation” (votes relative to audience size) so smaller creators with strong communities can beat larger creators with weaker conversion.
What’s discouraged (and why it doesn’t work well):
- View-botting: the trend signal is confidence-weighted and multiplied by stability, so spiky/volatile viewer patterns get down‑weighted.
- Vote spam / multi-accounting: one vote per leaderboard per voter token, rate limits, trust scoring, and admin tools to exclude/ban suspicious identities.
- Tiny sample sniping: volume guards reduce impact until there’s real activity.
Voters leaderboard
Ranked by participation during this leaderboard period (X usernames only). We never show who voted for whom.
| — | No voters yet. | —Votes | —Participant |
How the Voters Score works (transparent)
Plain English: the voters leaderboard rewards people who keep showing up and adding real value during the current run - not just people who click once. Your current-run score is built from useful actions like ratings, comments, active days, and contributions. Your long-term history still matters a bit through global score and trust, so strong community members do not reset to zero every new run.
Current leaderboard run
Ratings, comments, active days, and contributions during this specific run
Global activity
Lifetime votes, ratings, comments, and contributions across past runs
Trust and reputation
Trust scores reduce the impact of suspicious or low-quality activity
Vote weight
A tiny carry-over boost for strong trusted users, never large enough to dominate by itself
Mathy / nerdy version:
We treat each voter as a weighted participation profile with a
Where
We treat each voter as a weighted participation profile with a
period_score, a global_score, and trust modifiers. Conceptually:
period = a·ratings_run + b·comments_run + c·active_days_run + d·contrib_run
global = e·lifetime_votes + f·lifetime_ratings + g·lifetime_comments + h·lifetime_contrib
final voter score = period + carry(global, trust)
vote_weight = tiny_bonus(global, trust)
Where
carry(global, trust) is intentionally small. Current-run effort matters most, but trusted long-term users keep a modest edge.
Why we show both current and global stats:
Current-run stats explain why someone ranks this week. Global stats explain whether they are a proven returning user or just brand new. Trust scores are there to make spam, fake engagement, and low-quality behavior less valuable over time.
Current-run stats explain why someone ranks this week. Global stats explain whether they are a proven returning user or just brand new. Trust scores are there to make spam, fake engagement, and low-quality behavior less valuable over time.
Giveaways
Random giveaway winners for this leaderboard period. Winners are drawn from valid voters.
No giveaway winners yet.
Confirm your vote
Your Solana address is required so we can send surprise rewards to eligible voters and add one more anti-bot check to keep the leaderboard fair.
Connect with X to vote
We only use your public X profile info to verify your identity for voting. We do not see or store your X password, and we only keep the minimum profile data needed for leaderboard integrity, anti-abuse, and account features.
Connected as Connected account
Your vote is linked to your connected X profile automatically.
Thank you for your vote
Contribute to the prize pool
Contributing adds you to the Contributors row, boosts your giveaway chances, and gives a small vote-weight perk. Double-check the network before sending.
Send here
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After donating, you can paste your transaction signature / hash. We verify SOL/USDC on Solana automatically. Other networks are queued for manual review.
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Perks for contributors
Exposure
We add you to our contributors panel with a link to your profile or website.
Contributor badge
Your support is visible on-site with one badge per leaderboard.
Leaderboard points
Contributors earn points and show up on the voters board.
Giveaway entries
Consistent supporters get extra giveaway entries.
Higher vote weight
Small, not crazy, boost to reward consistent supporters.
Help the community
More support means bigger prize pools, more winners, and less ramen energy for everyone.
How the prize pool is split
80% Streamer prizes (top-heavy), 15% Voters leaderboard (flatter), 5% Random voter drops.
80% Streamers (top-heavy)
Payout curve (of the streamers pool): #1 25%, #2 15%, #3 10%, #4–10 30% total, #11–25 20% total.
15% Voters leaderboard (less aggressive)
Of the voters pool: Top 50% get paid (flatter curve). Example: #1–10 50% total, #11–50 50% total.
5% Random voters
Random eligible voters get $20 each. Bigger pool = more winners.
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