VirtuAnalytics

Novel Insights Through Data & Analysis

Virtua Fighter 5 REVO · v1.10 · Every character

Eileen

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Win rate52.6%
Standing#2 of 19 · tier S
Pick rate1.7%
Most picked#19 of 19
Matches counted12,737
Unique players168
Period2026/03/26 – 2026/09/23

Against the roster

Win rate in each matchup, over decided non-mirror matches
VanessaVanessa: 58.4% — 286 wins, 204 losses58.4%WolfWolf: 57.6% — 387 wins, 285 losses57.6%PaiPai: 55.4% — 304 wins, 245 losses55.4%SarahSarah: 55.0% — 399 wins, 326 losses55.0%JeanJean: 55.0% — 309 wins, 253 losses55.0%ShunShun: 54.8% — 361 wins, 298 losses54.8%GohGoh: 54.0% — 410 wins, 349 losses54.0%JeffryJeffry: 53.3% — 341 wins, 299 losses53.3%TakaTaka: 53.2% — 131 wins, 115 losses53.2%AoiAoi: 52.9% — 303 wins, 270 losses52.9%LionLion: 52.5% — 384 wins, 348 losses52.5%JackyJacky: 52.2% — 670 wins, 613 losses52.2%LauLau: 51.5% — 484 wins, 455 losses51.5%BradBrad: 50.9% — 329 wins, 317 losses50.9%KageKage: 50.1% — 421 wins, 420 losses50.1%AkiraAkira: 49.6% — 633 wins, 644 losses49.6%El BlazeEl Blaze: 48.6% — 259 wins, 274 losses48.6%DuralDural: 47.5% — 68 wins, 75 losses47.5%Lei FeiLei Fei: 47.2% — 221 wins, 247 losses47.2%
OpponentWin %WinsLossesMatches
Vanessa58.37%286204490
Wolf57.59%387285672
Pai55.37%304245549
Sarah55.03%399326725
Jean54.98%309253562
Shun54.78%361298659
Goh54.02%410349759
Jeffry53.28%341299640
Taka53.25%131115246
Aoi52.88%303270573
Lion52.46%384348732
Jacky52.22%6706131,283
Lau51.54%484455939
Brad50.93%329317646
Kage50.06%421420841
Akira49.57%6336441,277
El Blaze48.59%259274533
Dural47.55%6875143
Lei Fei47.22%221247468

Stage Impact To Win Probability

Change from this character's own win rate, in points
Breakable full fenceBreakable full fence: 55.3% over 1,283 decided matches+2.7%OpenOpen: 54.4% over 1,242 decided matches+1.8%Low fenceLow fence: 53.5% over 1,215 decided matches+0.9%Single wallSingle wall: 52.9% over 1,229 decided matches+0.3%RectangleRectangle: 52.6% over 1,308 decided matches+0.0%Full fenceFull fence: 52.2% over 1,292 decided matches-0.4%Breakable half fenceBreakable half fence: 52.1% over 1,324 decided matches-0.5%Fence and openFence and open: 51.2% over 633 decided matches-1.4%Half fenceHalf fence: 50.5% over 1,283 decided matches-2.1%OctagonOctagon: 49.6% over 1,283 decided matches-3.0%
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
Vanessa58.4%67644652576162595756
Wolf57.6%56505853685866565655
Pai55.4%57496546624546525363
Sarah55.0%57546055585857585051
Jean55.0%46525342625749497275
Shun54.8%58654655504950465469
Goh54.0%53475155545760525754
Jeffry53.3%49554554606454475351
Taka53.2%52586865414725505050
Aoi52.9%53635860606541444940
Lion52.5%46535557535020475864
Jacky52.2%54594553464865515450
Lau51.5%51624462514650444754
Brad50.9%49483953525352595450
Kage50.1%56574451554936425248
Akira49.6%49535248495343494747
El Blaze48.6%56584538454759533961
Dural47.5%38733336484057384357
Lei Fei47.2%45435647414250435646
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-1.5 pts behind walls (95% interval -3.7 to +0.7); within chance across the 20 characters tested, q=0.318
No wallsNo walls: 53.6% over 3,686 decided matches+1.0%WallsWalls: 52.1% over 7,773 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
Vanessa58.4%5858
Wolf57.6%5561
Pai55.4%5357
Sarah55.0%5556
Jean55.0%5165
Shun54.8%5458
Goh54.0%5355
Jeffry53.3%5159
Taka53.2%5747
Aoi52.9%5454
Lion52.5%5255
Jacky52.2%5248
Lau51.5%5251
Brad50.9%5052
Kage50.1%5050
Akira49.6%5049
El Blaze48.6%4850
Dural47.5%4450
Lei Fei47.2%4843
Worse on this stageNo changeBetter on this stage
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Stage Impact To Round Win Probability

Change from this character's own round win rate, in points
Breakable full fenceBreakable full fence: 52.8% over 5,019 decided matches+1.3%OpenOpen: 52.1% over 5,028 decided matches+0.5%Low fenceLow fence: 52.0% over 4,908 decided matches+0.5%Single wallSingle wall: 51.9% over 5,017 decided matches+0.3%Breakable half fenceBreakable half fence: 51.7% over 5,234 decided matches+0.1%RectangleRectangle: 51.5% over 5,293 decided matches-0.1%Full fenceFull fence: 51.2% over 5,272 decided matches-0.3%Fence and openFence and open: 51.1% over 2,559 decided matches-0.5%Half fenceHalf fence: 50.9% over 5,213 decided matches-0.6%OctagonOctagon: 49.9% over 5,227 decided matches-1.7%
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
Vanessa54.1%59564852515658525355
Jean54.0%50535448575351496466
Wolf53.9%54495553585457535253
Pai53.4%53506049554849495558
Sarah53.4%53545553545455575153
Shun53.4%53574953535153485460
Lion51.7%50515253535138495459
Goh51.7%52475153525256505549
Aoi51.5%52575654555645484646
Lau51.4%52564858514950494853
Brad51.3%50514652515252565349
Jeffry51.2%50524952555455485149
Taka51.2%48545860504738495048
Jacky50.8%51534751505154515249
Kage50.4%53544851505044465149
Akira50.0%50525149515446494848
Dural49.7%48684444483556434652
Lei Fei48.7%47475449454750475346
El Blaze48.6%49544743485054514552
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-0.7 pts behind walls (95% interval -1.8 to +0.4); within chance across the 20 characters tested, q=0.407
No wallsNo walls: 52.0% over 14,953 decided matches+0.4%WallsWalls: 51.3% over 31,258 decided matches-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
Vanessa54.1%5454
Jean54.0%5259
Wolf53.9%5355
Pai53.4%5254
Sarah53.4%5454
Shun53.4%5356
Lion51.7%5154
Goh51.7%5251
Aoi51.5%5252
Lau51.4%5251
Brad51.3%5251
Jeffry51.2%5053
Taka51.2%5349
Jacky50.8%5150
Kage50.4%5050
Akira50.0%5051
Dural49.7%4948
Lei Fei48.7%4946
El Blaze48.6%4850
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia198,583
South America191,602
North America19748
Europe17384
Middle East100
Oceania182
Not recorded91,634
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Win rate53.1%
Standing#2 of 19 · tier S
Pick rate1.4%
Most picked#19 of 19
Matches counted9,217
Unique players151
Period2026/03/26 – 2026/09/23

Against the roster

Win rate in each matchup, over decided non-mirror matches
WolfWolf: 59.1% — 331 wins, 229 losses59.1%ShunShun: 57.1% — 254 wins, 191 losses57.1%VanessaVanessa: 56.9% — 189 wins, 143 losses56.9%GohGoh: 56.3% — 357 wins, 277 losses56.3%JackyJacky: 54.3% — 507 wins, 426 losses54.3%LionLion: 54.1% — 223 wins, 189 losses54.1%AoiAoi: 53.8% — 260 wins, 223 losses53.8%PaiPai: 53.3% — 203 wins, 178 losses53.3%BradBrad: 52.3% — 237 wins, 216 losses52.3%El BlazeEl Blaze: 52.2% — 198 wins, 181 losses52.2%SarahSarah: 52.1% — 276 wins, 254 losses52.1%LauLau: 51.7% — 301 wins, 281 losses51.7%JeffryJeffry: 51.7% — 280 wins, 262 losses51.7%TakaTaka: 51.3% — 80 wins, 76 losses51.3%Lei FeiLei Fei: 51.2% — 151 wins, 144 losses51.2%JeanJean: 51.0% — 233 wins, 224 losses51.0%AkiraAkira: 51.0% — 485 wins, 467 losses51.0%KageKage: 48.2% — 273 wins, 293 losses48.2%DuralDural: 48.0% — 60 wins, 65 losses48.0%
OpponentWin %WinsLossesMatches
Wolf59.11%331229560
Shun57.08%254191445
Vanessa56.93%189143332
Goh56.31%357277634
Jacky54.34%507426933
Lion54.13%223189412
Aoi53.83%260223483
Pai53.28%203178381
Brad52.32%237216453
El Blaze52.24%198181379
Sarah52.08%276254530
Lau51.72%301281582
Jeffry51.66%280262542
Taka51.28%8076156
Lei Fei51.19%151144295
Jean50.98%233224457
Akira50.95%485467952
Kage48.23%273293566
Dural48.00%6065125

Stage Impact To Win Probability

Change from this character's own win rate, in points
OpenOpen: 55.1% over 866 decided matches+1.9%Low fenceLow fence: 55.0% over 919 decided matches+1.8%Single wallSingle wall: 54.7% over 902 decided matches+1.5%Breakable full fenceBreakable full fence: 54.6% over 921 decided matches+1.5%RectangleRectangle: 53.2% over 944 decided matches+0.0%Full fenceFull fence: 52.0% over 946 decided matches-1.1%Breakable half fenceBreakable half fence: 51.8% over 967 decided matches-1.3%Half fenceHalf fence: 51.3% over 911 decided matches-1.9%Fence and openFence and open: 51.1% over 479 decided matches-2.0%OctagonOctagon: 50.5% over 902 decided matches-2.6%
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.

Each matchup, stage by stage

Win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Wolf59.1%59505857665869585760
Shun57.1%58604659605260465869
Vanessa56.9%58614847576759506355
Goh56.3%55504957575761566159
Jacky54.3%54625049515562555652
Lion54.1%4255656152589415966
Aoi53.8%51636160646442435338
Pai53.3%61396347585143494466
Brad52.3%43474451584850676051
El Blaze52.2%57644440495067544462
Sarah52.1%50525754555855514844
Lau51.7%50555361544752494155
Jeffry51.7%47534054586150485247
Taka51.3%4365796245450523647
Lei Fei51.2%56475948353862574853
Jean51.0%45464639595046487375
Akira51.0%53515048485746495050
Kage48.2%53574345574631435051
Dural48.0%33733344524054383354
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-2.6 pts behind walls (95% interval -5.2 to -0.1); within chance across the 20 characters tested, q=0.142
No wallsNo walls: 54.9% over 2,687 decided matches+1.8%WallsWalls: 52.2% over 5,591 decided matches-0.9%
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.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without
OpponentWallsNo walls
Wolf59.1%5661
Shun57.1%5562
Vanessa56.9%5560
Goh56.3%5558
Jacky54.3%5453
Lion54.1%5459
Aoi53.8%5555
Pai53.3%5058
Brad52.3%5253
El Blaze52.2%5153
Sarah52.1%5253
Lau51.7%5152
Jeffry51.7%4957
Taka51.3%5546
Lei Fei51.2%5344
Jean51.0%4860
Akira51.0%5051
Kage48.2%4851
Dural48.0%4451
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 Win Probability

Change from this character's own round win rate, in points
Single wallSingle wall: 52.6% over 3,697 decided matches+0.9%Low fenceLow fence: 52.4% over 3,740 decided matches+0.7%Breakable full fenceBreakable full fence: 52.3% over 3,615 decided matches+0.6%OpenOpen: 52.2% over 3,547 decided matches+0.5%Breakable half fenceBreakable half fence: 51.6% over 3,805 decided matches-0.1%RectangleRectangle: 51.6% over 3,834 decided matches-0.1%Fence and openFence and open: 51.3% over 1,937 decided matches-0.4%Half fenceHalf fence: 51.3% over 3,703 decided matches-0.4%Full fenceFull fence: 51.0% over 3,868 decided matches-0.7%OctagonOctagon: 50.2% over 3,672 decided matches-1.4%
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.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Shun54.7%52554957615357485759
Wolf54.4%55495555565559545255
Vanessa53.0%53564947505855485754
Goh52.8%53484955545356515751
Pai52.6%54475751535249494659
Brad52.3%47515053535055605748
Aoi52.1%51575754575547484946
Lion52.1%46525855495535485358
Jacky52.0%51544950515455535351
Lau51.4%51525158525052514454
Jean51.0%49495045544849496461
Lei Fei50.9%51505750454658534750
Sarah50.9%48525152525353515049
Akira50.7%52505149505748494850
Dural50.5%45684451523555434350
Jeffry50.4%48514652545352485148
Taka50.2%46566361504525514446
El Blaze50.1%51564743495158504852
Kage49.2%52544848494942474951
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-1.0 pts behind walls (95% interval -2.3 to +0.2); within chance across the 20 characters tested, q=0.323
No wallsNo walls: 52.4% over 10,984 decided matches+0.7%WallsWalls: 51.3% over 22,497 decided matches-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
Shun54.7%5358
Wolf54.4%5355
Vanessa53.0%5255
Goh52.8%5352
Pai52.6%5155
Brad52.3%5351
Aoi52.1%5352
Lion52.1%5255
Jacky52.0%5252
Lau51.4%5152
Jean51.0%5054
Lei Fei50.9%5147
Sarah50.9%5151
Akira50.7%5052
Dural50.5%5049
Jeffry50.4%4952
Taka50.2%5347
El Blaze50.1%4951
Kage49.2%4949
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia195,453
South America191,495
North America19697
Europe17185
Middle East100
Oceania182
Not recorded91,459
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Win rate51.2%
Standing#7 of 19 · tier A
Pick rate3.2%
Most picked#15 of 19
Matches counted3,520
Unique players33
Period2026/03/26 – 2026/09/23

Against the roster

Win rate in each matchup, over decided non-mirror matches
JeanJean: 72.4% — 76 wins, 29 losses72.4%SarahSarah: 63.1% — 123 wins, 72 losses63.1%JeffryJeffry: 62.2% — 61 wins, 37 losses62.2%VanessaVanessa: 61.4% — 97 wins, 61 losses61.4%PaiPai: 60.1% — 101 wins, 67 losses60.1%TakaTaka: 56.7% — 51 wins, 39 losses56.7%KageKage: 53.8% — 148 wins, 127 losses53.8%LauLau: 51.3% — 183 wins, 174 losses51.3%LionLion: 50.3% — 161 wins, 159 losses50.3%ShunShun: 50.0% — 107 wins, 107 losses50.0%WolfWolf: 50.0% — 56 wins, 56 losses50.0%AoiAoi: 47.8% — 43 wins, 47 losses47.8%BradBrad: 47.7% — 92 wins, 101 losses47.7%JackyJacky: 46.6% — 163 wins, 187 losses46.6%AkiraAkira: 45.5% — 148 wins, 177 losses45.5%DuralDural: 44.4% — 8 wins, 10 losses44.4%GohGoh: 42.4% — 53 wins, 72 losses42.4%Lei FeiLei Fei: 40.5% — 70 wins, 103 losses40.5%El BlazeEl Blaze: 39.6% — 61 wins, 93 losses39.6%
OpponentWin %WinsLossesMatches
Jean72.38%7629105
Sarah63.08%12372195
Jeffry62.24%613798
Vanessa61.39%9761158
Pai60.12%10167168
Taka56.67%513990
Kage53.82%148127275
Lau51.26%183174357
Lion50.31%161159320
Shun50.00%107107214
Wolf50.00%5656112
Aoi47.78%434790
Brad47.67%92101193
Jacky46.57%163187350
Akira45.54%148177325
Dural44.44%81018
Goh42.40%5372125
Lei Fei40.46%70103173
El Blaze39.61%6193154

Stage Impact To Win Probability

Change from this character's own win rate, in points
Breakable full fenceBreakable full fence: 56.9% over 362 decided matches+5.7%Breakable half fenceBreakable half fence: 52.9% over 357 decided matches+1.8%Full fenceFull fence: 52.9% over 346 decided matches+1.7%OpenOpen: 52.7% over 376 decided matches+1.5%Fence and openFence and open: 51.3% over 154 decided matches+0.1%RectangleRectangle: 51.1% over 364 decided matches-0.1%Low fenceLow fence: 49.0% over 296 decided matches-2.2%Half fenceHalf fence: 48.7% over 372 decided matches-2.5%Single wallSingle wall: 48.0% over 327 decided matches-3.2%OctagonOctagon: 47.5% over 381 decided matches-3.7%
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
Jean72.4%5078865578100100507175
Sarah63.1%73596957695964675677
Jeffry62.2%6064625483100100385760
Vanessa61.4%876842595638100754862
Pai60.1%50626845772967608259
Taka56.7%83435569335038457057
Kage53.8%65574762505246415744
Lau51.3%53672565444447385852
Lion50.3%50484443543650555862
Shun50.0%60784648374531484571
Wolf50.0%38505736866256505030
Aoi47.8%75505058387133443850
Brad47.7%62502957336756313848
Jacky46.6%54503262363468414546
Akira45.5%30575548574331494039
Dural44.4%50··2025·100·100100
Goh42.4%42335746366050363840
Lei Fei40.5%19335044474738216939
El Blaze39.6%50435032332944532957
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+1.6 pts behind walls (95% interval -2.5 to +5.6); within chance across the 20 characters tested, q=0.711
WallsWalls: 51.6% over 2,182 decided matches+0.4%No wallsNo walls: 50.0% over 999 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.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without
OpponentWallsNo walls
Jean72.4%6680
Sarah63.1%6367
Jeffry62.2%5774
Vanessa61.4%6351
Pai60.1%6055
Taka56.7%6048
Kage53.8%5549
Lau51.3%5347
Lion50.3%5051
Shun50.0%5352
Wolf50.0%4757
Aoi47.8%5052
Brad47.7%4648
Jacky46.6%4739
Akira45.5%4845
Dural44.4%4040
Goh42.4%4342
Lei Fei40.5%3743
El Blaze39.6%4142
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 Win Probability

Change from this character's own round win rate, in points
Breakable full fenceBreakable full fence: 54.1% over 1,404 decided matches+2.9%Full fenceFull fence: 51.9% over 1,404 decided matches+0.7%OpenOpen: 51.9% over 1,481 decided matches+0.7%Breakable half fenceBreakable half fence: 51.9% over 1,429 decided matches+0.7%RectangleRectangle: 51.3% over 1,459 decided matches+0.1%Low fenceLow fence: 51.0% over 1,168 decided matches-0.2%Fence and openFence and open: 50.3% over 622 decided matches-0.9%Half fenceHalf fence: 50.1% over 1,510 decided matches-1.1%Single wallSingle wall: 49.9% over 1,320 decided matches-1.3%OctagonOctagon: 48.9% over 1,555 decided matches-2.3%
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.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage
OpponentFullBreak. fullHalfBreak. halfLowWallMixedOctRectOpen
Jean68.7%526974637595100476275
Sarah60.9%67586358626164645473
Vanessa56.4%71564658564886614856
Jeffry56.0%565657546569100425352
Pai55.3%51556445653850508256
Taka52.8%56505060505044435956
Kage52.7%57544857535251455646
Wolf51.6%45455846805450515146
Lau51.4%53604257474946465450
Lion51.1%54494545554544515560
Shun50.6%55634948434746494863
Brad49.0%58503952455649454151
Aoi48.1%56505354446127473948
Akira48.1%40555150524740504844
Jacky47.6%50514256464354434745
Goh45.6%46405643424859444643
Lei Fei44.9%35424944464941376543
El Blaze44.9%42474642454148523953
Dural44.3%53··2927·75·6075
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 -1.8 to +2.5); within chance across the 20 characters tested, q=0.761
WallsWalls: 51.3% over 8,761 decided matches+0.1%No wallsNo walls: 51.0% over 3,969 decided matches-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
Jean68.7%6278
Sarah60.9%6065
Vanessa56.4%5753
Jeffry56.0%5458
Pai55.3%5653
Taka52.8%5352
Kage52.7%5350
Wolf51.6%5057
Lau51.4%5349
Lion51.1%5053
Shun50.6%5251
Brad49.0%4850
Aoi48.1%5051
Akira48.1%4947
Jacky47.6%4844
Goh45.6%4643
Lei Fei44.9%4445
El Blaze44.9%4547
Dural44.3%4437
Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks
RegionShareStandingAppearances
Asia153,130
North America1651
Europe6199
South America3107
Not recorded8175