VirtuAnalytics

Novel Insights Through Data & Analysis

Virtua Fighter 5 REVO · v1.10 · Every character

Wolf

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Win rate49.4%
Standing#16 of 19 · tier C
Pick rate6.9%
Most picked#3 of 19
Matches counted110,139
Unique players960
Period2026/03/26 – 2026/10/18

Against the roster

Win rate in each matchup, over decided non-mirror matches
AoiAoi: 53.2% — 3,724 wins, 3,273 losses53.2%AkiraAkira: 52.3% — 7,233 wins, 6,595 losses52.3%PaiPai: 50.6% — 3,459 wins, 3,372 losses50.6%ShunShun: 50.5% — 3,169 wins, 3,106 losses50.5%LionLion: 50.4% — 2,823 wins, 2,774 losses50.4%SarahSarah: 50.3% — 3,442 wins, 3,397 losses50.3%Lei FeiLei Fei: 50.2% — 1,915 wins, 1,902 losses50.2%DuralDural: 50.0% — 419 wins, 419 losses50.0%TakaTaka: 49.4% — 1,075 wins, 1,101 losses49.4%JackyJacky: 49.3% — 5,783 wins, 5,949 losses49.3%GohGoh: 49.0% — 2,966 wins, 3,093 losses49.0%El BlazeEl Blaze: 48.2% — 2,161 wins, 2,321 losses48.2%JeffryJeffry: 48.0% — 3,337 wins, 3,622 losses48.0%LauLau: 47.5% — 2,656 wins, 2,939 losses47.5%KageKage: 47.3% — 2,788 wins, 3,103 losses47.3%VanessaVanessa: 46.9% — 1,819 wins, 2,064 losses46.9%BradBrad: 46.1% — 2,092 wins, 2,443 losses46.1%JeanJean: 45.9% — 2,668 wins, 3,147 losses45.9%EileenEileen: 44.3% — 882 wins, 1,108 losses44.3%
OpponentWin %WinsLossesMatches
Aoi53.22%3,7243,2736,997
Akira52.31%7,2336,59513,828
Pai50.64%3,4593,3726,831
Shun50.50%3,1693,1066,275
Lion50.44%2,8232,7745,597
Sarah50.33%3,4423,3976,839
Lei Fei50.17%1,9151,9023,817
Dural50.00%419419838
Taka49.40%1,0751,1012,176
Jacky49.29%5,7835,94911,732
Goh48.95%2,9663,0936,059
El Blaze48.22%2,1612,3214,482
Jeffry47.95%3,3373,6226,959
Lau47.47%2,6562,9395,595
Kage47.33%2,7883,1035,891
Vanessa46.85%1,8192,0643,883
Brad46.13%2,0922,4434,535
Jean45.88%2,6683,1475,815
Eileen44.32%8821,1081,990

Stage Impact To Match WP

WP = win probability. Change from this character's own match win rate, in points
OpenOpen: 50.7% over 10,950 decided matches+1.3%Low fenceLow fence: 50.4% over 10,848 decided matches+1.0%RectangleRectangle: 50.0% over 11,262 decided matches+0.6%Single wallSingle wall: 49.9% over 10,608 decided matches+0.5%Fence and openFence and open: 49.3% over 5,420 decided matches-0.1%Breakable full fenceBreakable full fence: 49.1% over 11,100 decided matches-0.3%Half fenceHalf fence: 49.0% over 11,121 decided matches-0.4%OctagonOctagon: 48.8% over 11,038 decided matches-0.6%Breakable half fenceBreakable half fence: 48.3% over 11,042 decided matches-1.1%Full fenceFull fence: 48.3% over 11,252 decided matches-1.1%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage

Win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Aoi53.2%52525455545254535254
Akira52.3%49515252575452515354
Pai50.6%51525151534748485448
Shun50.5%50485448505151485450
Lion50.4%49515047535150515052
Sarah50.3%52504749505650465254
Lei Fei50.2%46474847545249525251
Dural50.0%52514947425456544252
Taka49.4%50534647484754505049
Jacky49.3%49504948485150485051
Goh49.0%46484951484649505150
El Blaze48.2%46454546514748524850
Jeffry48.0%45494948494947464747
Lau47.5%48454945534847454351
Kage47.3%47494648454743504849
Vanessa46.9%47504843454644464949
Brad46.1%46474544434848444451
Jean45.9%43444543474650484750
Eileen44.3%45454346434439434645
Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points
Walls or no walls-1.4 pts behind walls (95% interval -2.3 to -0.5); holds up against the 20 characters tested, q=0.038
No wallsNo walls: 50.4% over 32,406 decided matches+0.9%WallsWalls: 48.9% over 66,815 decided matches-0.5%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without
OpponentWallsNo walls
Aoi53.2%5353
Akira52.3%5155
Pai50.6%5150
Shun50.5%5050
Lion50.4%5052
Sarah50.3%4953
Lei Fei50.2%4952
Dural50.0%4949
Taka49.4%4948
Jacky49.3%4950
Goh49.0%4948
El Blaze48.2%4749
Jeffry48.0%4748
Lau47.5%4651
Kage47.3%4847
Vanessa46.9%4747
Brad46.1%4548
Jean45.9%4548
Eileen44.3%4544
Worse on this stageNo changeBetter on this stage
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points
OpenOpen: 50.4% of rounds won, over 44,645 decided rounds+0.7%Low fenceLow fence: 50.2% of rounds won, over 44,198 decided rounds+0.5%Single wallSingle wall: 50.1% of rounds won, over 43,224 decided rounds+0.4%RectangleRectangle: 49.9% of rounds won, over 45,970 decided rounds+0.2%Half fenceHalf fence: 49.6% of rounds won, over 45,068 decided rounds-0.1%Breakable full fenceBreakable full fence: 49.5% of rounds won, over 43,518 decided rounds-0.2%Fence and openFence and open: 49.5% of rounds won, over 22,104 decided rounds-0.2%OctagonOctagon: 49.3% of rounds won, over 44,875 decided rounds-0.4%Full fenceFull fence: 49.1% of rounds won, over 45,809 decided rounds-0.5%Breakable half fenceBreakable half fence: 49.0% of rounds won, over 43,434 decided rounds-0.6%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Aoi51.7%51515253525152525152
Akira51.3%49515151535251515152
Shun50.9%51495349505151505250
Pai50.6%51515151524950495350
Lion50.5%50515048525250505151
Lei Fei50.1%48494949525149515150
Sarah50.1%51504849505350485052
Taka49.9%49514850494854505051
Jacky49.7%49505049495150495050
Dural49.5%49514949465153514651
Goh49.4%48495050494849505150
El Blaze48.9%48474847504949514950
Jeffry48.8%48485048504948484848
Lau48.5%49484947514948474750
Kage48.3%49494849474844494849
Vanessa48.1%48504847484847484949
Brad48.0%47484748474948474750
Jean47.8%46474846494849484850
Eileen46.9%47484548484744474847
Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points
Walls or no walls-0.8 pts behind walls (95% interval -1.3 to -0.4); holds up against the 20 characters tested, q=0.008
No wallsNo walls: 50.2% of rounds won, over 132,067 decided rounds+0.6%WallsWalls: 49.4% of rounds won, over 268,674 decided rounds-0.3%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without
OpponentWallsNo walls
Aoi51.7%5252
Akira51.3%5152
Shun50.9%5151
Pai50.6%5150
Lion50.5%5052
Lei Fei50.1%4951
Sarah50.1%4952
Taka49.9%5049
Jacky49.7%5050
Dural49.5%4949
Goh49.4%5049
El Blaze48.9%4850
Jeffry48.8%4849
Lau48.5%4850
Kage48.3%4948
Vanessa48.1%4848
Brad48.0%4749
Jean47.8%4749
Eileen46.9%4747
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia555,449
North America226,240
South America325,081
Europe52,948
Oceania11,298
Middle East436
Not recorded127,829
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Win rate50.5%
Standing#10 of 19 · tier B
Pick rate8.3%
Most picked#3 of 19
Matches counted60,148
Unique players754
Period2026/03/26 – 2026/10/18

Against the roster

Win rate in each matchup, over decided non-mirror matches
AoiAoi: 55.4% — 2,600 wins, 2,097 losses55.4%AkiraAkira: 54.0% — 4,361 wins, 3,722 losses54.0%LionLion: 52.7% — 1,518 wins, 1,362 losses52.7%PaiPai: 52.0% — 2,220 wins, 2,049 losses52.0%Lei FeiLei Fei: 51.8% — 883 wins, 823 losses51.8%SarahSarah: 51.5% — 2,145 wins, 2,021 losses51.5%ShunShun: 51.3% — 1,900 wins, 1,801 losses51.3%TakaTaka: 50.9% — 625 wins, 602 losses50.9%JackyJacky: 49.7% — 3,186 wins, 3,220 losses49.7%El BlazeEl Blaze: 49.5% — 1,238 wins, 1,265 losses49.5%GohGoh: 49.2% — 1,689 wins, 1,742 losses49.2%KageKage: 49.2% — 1,229 wins, 1,270 losses49.2%LauLau: 47.5% — 1,164 wins, 1,289 losses47.5%VanessaVanessa: 47.4% — 973 wins, 1,080 losses47.4%JeffryJeffry: 47.0% — 1,835 wins, 2,066 losses47.0%EileenEileen: 45.7% — 547 wins, 651 losses45.7%BradBrad: 45.6% — 859 wins, 1,024 losses45.6%JeanJean: 45.5% — 1,238 wins, 1,483 losses45.5%DuralDural: 44.2% — 164 wins, 207 losses44.2%
OpponentWin %WinsLossesMatches
Aoi55.35%2,6002,0974,697
Akira53.95%4,3613,7228,083
Lion52.71%1,5181,3622,880
Pai52.00%2,2202,0494,269
Lei Fei51.76%8838231,706
Sarah51.49%2,1452,0214,166
Shun51.34%1,9001,8013,701
Taka50.94%6256021,227
Jacky49.73%3,1863,2206,406
El Blaze49.46%1,2381,2652,503
Goh49.23%1,6891,7423,431
Kage49.18%1,2291,2702,499
Lau47.45%1,1641,2892,453
Vanessa47.39%9731,0802,053
Jeffry47.04%1,8352,0663,901
Eileen45.66%5476511,198
Brad45.62%8591,0241,883
Jean45.50%1,2381,4832,721
Dural44.20%164207371

Stage Impact To Match WP

WP = win probability. Change from this character's own match win rate, in points
OpenOpen: 52.4% over 5,947 decided matches+1.9%Single wallSingle wall: 51.9% over 5,714 decided matches+1.4%Low fenceLow fence: 51.5% over 5,923 decided matches+1.0%RectangleRectangle: 51.3% over 6,128 decided matches+0.8%Fence and openFence and open: 50.6% over 3,022 decided matches+0.1%OctagonOctagon: 50.1% over 6,023 decided matches-0.4%Breakable full fenceBreakable full fence: 50.0% over 6,084 decided matches-0.5%Half fenceHalf fence: 49.9% over 6,146 decided matches-0.6%Breakable half fenceBreakable half fence: 49.4% over 6,039 decided matches-1.1%Full fenceFull fence: 48.6% over 6,062 decided matches-1.9%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage

Win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Aoi55.4%53535758545558565456
Akira54.0%50535452585852525356
Lion52.7%51525147585358545451
Pai52.0%51555252554848485749
Lei Fei51.8%50485048585549535252
Sarah51.5%51514850525654485455
Shun51.3%48505450515250475653
Taka50.9%49534846515062485253
Jacky49.7%48524949475148515152
El Blaze49.5%50484647494554544855
Goh49.2%44464851495050505351
Kage49.2%48524649485241544951
Lau47.5%50464746515043454157
Vanessa47.4%51514642494745465050
Jeffry47.0%42474949484947454747
Eileen45.7%47424543504544444747
Brad45.6%40424646395247504451
Jean45.5%44414643465050514647
Dural44.2%52423131465160413953
Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points
Walls or no walls-2.1 pts behind walls (95% interval -3.2 to -0.9); holds up against the 20 characters tested, q=0.009
No wallsNo walls: 51.9% over 17,584 decided matches+1.4%WallsWalls: 49.9% over 36,482 decided matches-0.6%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without
OpponentWallsNo walls
Aoi55.4%5555
Akira54.0%5257
Lion52.7%5254
Pai52.0%5351
Lei Fei51.8%5055
Sarah51.5%5055
Shun51.3%5152
Taka50.9%4952
Jacky49.7%5050
El Blaze49.5%4950
Goh49.2%4950
Kage49.2%5050
Lau47.5%4653
Vanessa47.4%4849
Jeffry47.0%4648
Eileen45.7%4548
Brad45.6%4547
Jean45.5%4547
Dural44.2%4051
Worse on this stageNo changeBetter on this stage
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points
OpenOpen: 51.4% of rounds won, over 24,128 decided rounds+1.1%Single wallSingle wall: 51.1% of rounds won, over 23,209 decided rounds+0.8%Low fenceLow fence: 50.8% of rounds won, over 23,941 decided rounds+0.5%RectangleRectangle: 50.5% of rounds won, over 25,002 decided rounds+0.3%Fence and openFence and open: 50.3% of rounds won, over 12,249 decided rounds+0.0%Half fenceHalf fence: 50.1% of rounds won, over 24,797 decided rounds-0.2%OctagonOctagon: 50.0% of rounds won, over 24,306 decided rounds-0.3%Breakable full fenceBreakable full fence: 49.8% of rounds won, over 23,656 decided rounds-0.5%Breakable half fenceBreakable half fence: 49.6% of rounds won, over 23,542 decided rounds-0.7%Full fenceFull fence: 49.4% of rounds won, over 24,555 decided rounds-0.9%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Aoi52.7%51515455525354535254
Akira52.1%49525251545451515153
Lion51.6%51525149555354525251
Shun51.4%50505351515251495352
Pai51.3%51525151534950495550
Taka50.9%50504849524957505154
Lei Fei50.8%50504950535249515051
Sarah50.7%50504949505452495252
Jacky49.9%49515049485149505151
Goh49.6%47485050494951505151
El Blaze49.6%49494948494852524852
Kage49.4%50514750495143515050
Lau48.5%50484947505146474653
Vanessa48.4%51504845504847494949
Jeffry48.0%46474948494948474848
Brad48.0%45454749465248504752
Jean47.6%47444846475051494949
Eileen47.5%48464648514845484749
Dural46.0%49463937464954454550
Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points
Walls or no walls-1.2 pts behind walls (95% interval -1.8 to -0.6); holds up against the 20 characters tested, q=0.002
No wallsNo walls: 51.1% of rounds won, over 71,278 decided rounds+0.8%WallsWalls: 49.9% of rounds won, over 145,858 decided rounds-0.4%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without
OpponentWallsNo walls
Aoi52.7%5353
Akira52.1%5154
Lion51.6%5153
Shun51.4%5152
Pai51.3%5251
Taka50.9%5052
Lei Fei50.8%5052
Sarah50.7%5052
Jacky49.9%5050
Goh49.6%4950
El Blaze49.6%4950
Kage49.4%5050
Lau48.5%4851
Vanessa48.4%4949
Jeffry48.0%4849
Brad48.0%4750
Jean47.6%4749
Eileen47.5%4749
Dural46.0%4449
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia617,033
North America221,291
South America217,960
Europe22,275
Oceania11,298
Middle East312
Not recorded105,997
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Win rate48.1%
Standing#19 of 19 · tier D
Pick rate6.1%
Most picked#4 of 19
Matches counted45,492
Unique players325
Period2026/03/26 – 2026/10/18

Against the roster

Win rate in each matchup, over decided non-mirror matches
DuralDural: 54.3% — 245 wins, 206 losses54.3%AkiraAkira: 50.5% — 2,689 wins, 2,636 losses50.5%ShunShun: 50.0% — 1,162 wins, 1,161 losses50.0%Lei FeiLei Fei: 49.0% — 946 wins, 983 losses49.0%AoiAoi: 48.9% — 1,085 wins, 1,133 losses48.9%GohGoh: 48.8% — 1,224 wins, 1,286 losses48.8%JeffryJeffry: 48.8% — 1,414 wins, 1,486 losses48.8%JackyJacky: 48.5% — 2,364 wins, 2,508 losses48.5%SarahSarah: 48.5% — 1,187 wins, 1,260 losses48.5%PaiPai: 47.8% — 1,123 wins, 1,225 losses47.8%El BlazeEl Blaze: 47.4% — 834 wins, 924 losses47.4%LauLau: 47.4% — 1,295 wins, 1,440 losses47.4%TakaTaka: 47.2% — 394 wins, 440 losses47.2%LionLion: 47.2% — 1,126 wins, 1,258 losses47.2%BradBrad: 46.4% — 1,062 wins, 1,229 losses46.4%KageKage: 46.4% — 1,368 wins, 1,583 losses46.4%JeanJean: 46.1% — 1,374 wins, 1,606 losses46.1%VanessaVanessa: 45.5% — 719 wins, 863 losses45.5%EileenEileen: 41.4% — 271 wins, 383 losses41.4%
OpponentWin %WinsLossesMatches
Dural54.32%245206451
Akira50.50%2,6892,6365,325
Shun50.02%1,1621,1612,323
Lei Fei49.04%9469831,929
Aoi48.92%1,0851,1332,218
Goh48.76%1,2241,2862,510
Jeffry48.76%1,4141,4862,900
Jacky48.52%2,3642,5084,872
Sarah48.51%1,1871,2602,447
Pai47.83%1,1231,2252,348
El Blaze47.44%8349241,758
Lau47.35%1,2951,4402,735
Taka47.24%394440834
Lion47.23%1,1261,2582,384
Brad46.36%1,0621,2292,291
Kage46.36%1,3681,5832,951
Jean46.11%1,3741,6062,980
Vanessa45.45%7198631,582
Eileen41.44%271383654

Stage Impact To Match WP

WP = win probability. Change from this character's own match win rate, in points
Low fenceLow fence: 49.2% over 4,520 decided matches+1.1%OpenOpen: 48.8% over 4,546 decided matches+0.7%RectangleRectangle: 48.7% over 4,634 decided matches+0.6%Half fenceHalf fence: 48.1% over 4,504 decided matches-0.0%Breakable full fenceBreakable full fence: 48.1% over 4,590 decided matches-0.0%Fence and openFence and open: 48.0% over 2,176 decided matches-0.1%Full fenceFull fence: 47.7% over 4,724 decided matches-0.4%Single wallSingle wall: 47.4% over 4,432 decided matches-0.7%OctagonOctagon: 47.3% over 4,565 decided matches-0.8%Breakable half fenceBreakable half fence: 46.8% over 4,577 decided matches-1.3%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage

Win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Dural54.3%52596355385850654851
Akira50.5%49484852544953495451
Shun50.0%53465544504955495346
Lei Fei49.0%42444847525149515449
Aoi48.9%49494950554742474648
Goh48.8%50514951464446505049
Jeffry48.8%49524947514847484746
Jacky48.5%49474948485152455049
Sarah48.5%53474548495544434851
Pai47.8%51474948494849474646
El Blaze47.4%42444845545039495046
Lau47.4%46465143544547474648
Taka47.2%47534248494244534943
Lion47.2%44504846474640474852
Brad46.4%50524442464550404252
Kage46.4%47454646444247484948
Jean46.1%42484442494250464752
Vanessa45.5%42484943414747464548
Eileen41.4%43504144354228434739
Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points
Walls or no walls-0.7 pts behind walls (95% interval -1.9 to +0.5); within chance across the 20 characters tested, q=0.552
No wallsNo walls: 48.5% over 13,498 decided matches+0.4%WallsWalls: 47.8% over 27,594 decided matches-0.3%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without
OpponentWallsNo walls
Dural54.3%5748
Akira50.5%5051
Shun50.0%5048
Lei Fei49.0%4751
Aoi48.9%4850
Goh48.8%5046
Jeffry48.8%4948
Jacky48.5%4849
Sarah48.5%4752
Pai47.8%4847
El Blaze47.4%4650
Lau47.4%4749
Taka47.2%4945
Lion47.2%4748
Brad46.4%4548
Kage46.4%4745
Jean46.1%4548
Vanessa45.5%4545
Eileen41.4%4539
Worse on this stageNo changeBetter on this stage
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points
Low fenceLow fence: 49.6% of rounds won, over 18,593 decided rounds+0.6%OpenOpen: 49.4% of rounds won, over 18,642 decided rounds+0.3%RectangleRectangle: 49.3% of rounds won, over 18,928 decided rounds+0.2%Breakable full fenceBreakable full fence: 49.2% of rounds won, over 18,176 decided rounds+0.2%Half fenceHalf fence: 49.0% of rounds won, over 18,373 decided rounds-0.0%Single wallSingle wall: 48.9% of rounds won, over 18,130 decided rounds-0.2%Full fenceFull fence: 48.8% of rounds won, over 19,334 decided rounds-0.2%Fence and openFence and open: 48.7% of rounds won, over 8,935 decided rounds-0.4%OctagonOctagon: 48.6% of rounds won, over 18,714 decided rounds-0.4%Breakable half fenceBreakable half fence: 48.4% of rounds won, over 18,197 decided rounds-0.7%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Dural52.3%50545855455349554851
Akira50.4%50504951525051515250
Shun50.3%52485347505053515248
Aoi49.6%50504950534947494949
Lei Fei49.6%46484949515049515349
Jeffry49.5%50515049514948484848
Pai49.3%51485050505050484850
Jacky49.3%50495049495051484949
Goh49.2%50514950484747495149
Sarah49.2%51484848495347474851
Lion48.9%47505048484945495051
El Blaze48.5%46474945525043505047
Taka48.5%48534750484549514946
Lau48.2%48485045524848484848
Brad48.0%49514747494649454750
Jean47.9%46494747504748474850
Kage47.9%48484849464646494749
Vanessa47.5%45494847455049474748
Eileen45.9%45504545454640475045
Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points
Walls or no walls-0.4 pts behind walls (95% interval -1.0 to +0.2); within chance across the 20 characters tested, q=0.537
No wallsNo walls: 49.3% of rounds won, over 55,365 decided rounds+0.2%WallsWalls: 48.9% of rounds won, over 111,722 decided rounds-0.1%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without
OpponentWallsNo walls
Dural52.3%5449
Akira50.4%5051
Shun50.3%5049
Aoi49.6%4950
Lei Fei49.6%4950
Jeffry49.5%4950
Pai49.3%4950
Jacky49.3%4949
Goh49.2%5048
Sarah49.2%4851
Lion48.9%4950
El Blaze48.5%4850
Taka48.5%4946
Lau48.2%4849
Brad48.0%4748
Jean47.9%4749
Kage47.9%4847
Vanessa47.5%4748
Eileen45.9%4745
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia334,100
South America87,103
North America64,844
Europe11584
Middle East324
Oceania190
Not recorded91,765
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Win rate47.9%
Standing#14 of 19 · tier C
Pick rate3.4%
Most picked#13 of 19
Matches counted4,499
Unique players35
Period2026/03/26 – 2026/10/18

Against the roster

Win rate in each matchup, over decided non-mirror matches
DuralDural: 62.5% — 10 wins, 6 losses62.5%JeffryJeffry: 55.7% — 88 wins, 70 losses55.7%PaiPai: 54.2% — 116 wins, 98 losses54.2%LionLion: 53.8% — 179 wins, 154 losses53.8%JackyJacky: 51.3% — 233 wins, 221 losses51.3%VanessaVanessa: 51.2% — 127 wins, 121 losses51.2%JeanJean: 49.1% — 56 wins, 58 losses49.1%TakaTaka: 48.7% — 56 wins, 59 losses48.7%SarahSarah: 48.7% — 110 wins, 116 losses48.7%LauLau: 48.4% — 197 wins, 210 losses48.4%AoiAoi: 47.6% — 39 wins, 43 losses47.6%BradBrad: 47.4% — 171 wins, 190 losses47.4%Lei FeiLei Fei: 47.2% — 86 wins, 96 losses47.2%EileenEileen: 46.4% — 64 wins, 74 losses46.4%GohGoh: 44.9% — 53 wins, 65 losses44.9%AkiraAkira: 43.6% — 183 wins, 237 losses43.6%KageKage: 43.3% — 191 wins, 250 losses43.3%ShunShun: 42.6% — 107 wins, 144 losses42.6%El BlazeEl Blaze: 40.3% — 89 wins, 132 losses40.3%
OpponentWin %WinsLossesMatches
Dural62.50%10616
Jeffry55.70%8870158
Pai54.21%11698214
Lion53.75%179154333
Jacky51.32%233221454
Vanessa51.21%127121248
Jean49.12%5658114
Taka48.70%5659115
Sarah48.67%110116226
Lau48.40%197210407
Aoi47.56%394382
Brad47.37%171190361
Lei Fei47.25%8696182
Eileen46.38%6474138
Goh44.92%5365118
Akira43.57%183237420
Kage43.31%191250441
Shun42.63%107144251
El Blaze40.27%89132221

Stage Impact To Match WP

WP = win probability. Change from this character's own match win rate, in points
Full fenceFull fence: 50.4% over 466 decided matches+2.5%Single wallSingle wall: 49.4% over 462 decided matches+1.4%Breakable half fenceBreakable half fence: 49.3% over 426 decided matches+1.4%OpenOpen: 48.1% over 457 decided matches+0.2%Low fenceLow fence: 47.4% over 405 decided matches-0.5%RectangleRectangle: 47.0% over 500 decided matches-0.9%Half fenceHalf fence: 46.9% over 471 decided matches-1.0%Breakable full fenceBreakable full fence: 46.7% over 426 decided matches-1.2%OctagonOctagon: 45.3% over 450 decided matches-2.6%Fence and openFence and open: 44.6% over 222 decided matches-3.3%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage

Win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Dural62.5%···6767·10010043·
Jeffry55.7%40605067537050465558
Pai54.2%43526067574333477765
Lion53.8%67475350565842523859
Jacky51.3%57495229645863444751
Vanessa51.2%52576752463614606148
Jean49.1%60364345407043644858
Taka48.7%83554462204050554043
Sarah48.7%64593854304843405262
Lau48.4%51294858575565404342
Aoi47.6%544775252260038071
Brad47.4%47454148455850365645
Lei Fei47.2%506044403620100624355
Eileen46.4%38504369144742433657
Goh44.9%31445350641860624742
Akira43.6%41444843504829414840
Kage43.3%40554749354633413743
Shun42.6%50134844414538523728
El Blaze40.3%38332650445050444537
Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points
Walls or no walls-0.7 pts behind walls (95% interval -4.5 to +3.0); within chance across the 20 characters tested, q=0.829
No wallsNo walls: 48.3% over 1,324 decided matches+0.4%WallsWalls: 47.6% over 2,739 decided matches-0.3%
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without
OpponentWallsNo walls
Dural62.5%5567
Jeffry55.7%5261
Pai54.2%5753
Lion53.8%5258
Jacky51.3%4757
Vanessa51.2%5743
Jean49.1%4856
Taka48.7%5634
Sarah48.7%5045
Lau48.4%4651
Aoi47.6%4752
Brad47.4%4549
Lei Fei47.2%4840
Eileen46.4%4744
Goh44.9%4738
Akira43.6%4446
Kage43.3%4442
Shun42.6%4337
El Blaze40.3%3843
Worse on this stageNo changeBetter on this stage
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points
Single wallSingle wall: 49.9% of rounds won, over 1,885 decided rounds+1.1%Full fenceFull fence: 49.9% of rounds won, over 1,920 decided rounds+1.1%Breakable half fenceBreakable half fence: 49.1% of rounds won, over 1,695 decided rounds+0.3%Half fenceHalf fence: 49.0% of rounds won, over 1,898 decided rounds+0.2%Breakable full fenceBreakable full fence: 49.0% of rounds won, over 1,686 decided rounds+0.2%Low fenceLow fence: 48.7% of rounds won, over 1,664 decided rounds-0.0%OpenOpen: 48.2% of rounds won, over 1,875 decided rounds-0.6%RectangleRectangle: 48.0% of rounds won, over 2,040 decided rounds-0.7%Fence and openFence and open: 47.4% of rounds won, over 920 decided rounds-1.4%OctagonOctagon: 46.8% of rounds won, over 1,855 decided rounds-2.0%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Jeffry53.5%49554959576253485053
Pai52.5%45525560544746486557
Dural52.3%···5460·756041·
Lion51.9%58485349535749494553
Vanessa50.1%50525751493733545651
Jacky50.0%53515138545557444849
Taka49.8%57545160314854534643
Aoi49.7%50535938385940422555
Lau49.6%49434959545154464746
Goh49.2%47535346563855594748
Jean48.9%57394849465548554656
Lei Fei48.4%50534445473875574751
Sarah48.2%59544546424743444856
Shun47.9%52355151495041494642
Brad47.9%46484747465449445245
Akira47.0%45495047494941464945
Eileen46.9%46494257205049454448
Kage45.7%47524848434638434147
El Blaze44.2%44413847495148444740
Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points
Walls or no walls-0.3 pts behind walls (95% interval -2.3 to +1.6); within chance across the 20 characters tested, q=0.771
No wallsNo walls: 49.0% of rounds won, over 5,424 decided rounds+0.2%WallsWalls: 48.6% of rounds won, over 11,094 decided rounds-0.2%
How significance is decided
  • Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
  • The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
  • q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
  • Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
  • Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without
OpponentWallsNo walls
Jeffry53.5%5157
Pai52.5%5452
Dural52.3%4760
Lion51.9%5154
Vanessa50.1%5346
Jacky50.0%4852
Taka49.8%5342
Aoi49.7%4952
Lau49.6%4950
Goh49.2%5046
Jean48.9%4852
Lei Fei48.4%4846
Sarah48.2%4948
Shun47.9%4846
Brad47.9%4748
Akira47.0%4848
Eileen46.9%4744
Kage45.7%4646
El Blaze44.2%4346
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia134,316
North America13105
Europe1189
South America718
Not recorded1267