VirtuAnalytics

Novel Insights Through Data & Analysis

Virtua Fighter 5 REVO · v1.10 · Character Matchup Winrates

Lau vs Sarah

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Matches counted2,313
Win rate50.7%
Widest swing-5.9 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Low fence56.0%+5.30.074250
Fence and open55.4%+4.70.250139
Breakable full fence53.9%+3.20.372182
Rectangle52.7%+2.10.467275
Half fence50.4%-0.30.929248
Octagon49.1%-1.60.622214
Open48.9%-1.80.574227
Single wall48.7%-2.00.527224
Full fence47.9%-2.80.367238
Breakable half fence44.7%-5.90.088190
p < 0.05 on its ownStill there after correcting for how many were tested
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage against stage

Lau's win rate on the row's stage, minus the same on the column's

All ten shapes at once: chi-square 9.56 on 9 df, p 0.387

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence47.9%238-6.00.227-2.50.581+3.20.515-8.10.073-0.80.870-7.50.160-1.00.829-4.80.275-1.20.804
Breakable full fence+6.00.22753.9%182+3.50.480+9.10.079-2.10.657+5.20.299-1.60.782+5.00.320+1.10.814+4.80.343
Half fence+2.50.581-3.50.48050.4%248+5.70.239-5.60.211+1.70.705-5.00.346+1.50.743-2.30.595+1.30.774
Breakable half fence-3.20.515-9.10.079-5.70.23944.7%190-11.30.019-3.90.425-10.70.056-4.20.396-8.00.090-4.30.384
Low fence+8.10.073+2.10.657+5.60.211+11.30.01956.0%250+7.30.110+0.60.908+7.10.121+3.30.452+6.90.136
Single wall+0.80.870-5.20.299-1.70.705+3.90.425-7.30.11048.7%224-6.70.212-0.20.960-4.10.366-0.40.933
Fence and open+7.50.160+1.60.782+5.00.346+10.70.056-0.60.908+6.70.21255.4%139+6.50.227+2.70.607+6.30.245
Open+1.00.829-5.00.320-1.50.743+4.20.396-7.10.121+0.20.960-6.50.22748.9%227-3.80.393-0.20.972
Rectangle+4.80.275-1.10.814+2.30.595+8.00.090-3.30.452+4.10.366-2.70.607+3.80.39352.7%275+3.70.422
Octagon+1.20.804-4.80.343-1.30.774+4.30.384-6.90.136+0.40.933-6.30.245+0.20.972-3.70.42249.1%214
Better on the row's stage — deeper at 5 and 10 pointsBetter on the column's stagep < 0.05 on its ownStill there after correcting for how many were tested· fewer than 80 decided matches on one side of the comparison
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.
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted1,926
Win rate50.5%
Widest swing-7.6 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Low fence56.9%+6.30.061197
Fence and open56.7%+6.20.164120
Breakable full fence51.9%+1.40.720160
Half fence51.4%+0.90.778208
Rectangle51.4%+0.90.788218
Octagon49.7%-0.80.821185
Single wall49.0%-1.50.650198
Open48.7%-1.90.593187
Full fence47.2%-3.30.328199
Breakable half fence43.0%-7.60.049156
p < 0.05 on its ownStill there after correcting for how many were tested
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage against stage

Lau's win rate on the row's stage, minus the same on the column's

All ten shapes at once: chi-square 10.15 on 9 df, p 0.338

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence47.2%199-4.60.382-4.20.396+4.30.421-9.60.055-1.80.727-9.40.103-1.40.779-4.10.398-2.50.625
Breakable full fence+4.60.38251.9%160+0.40.934+8.90.112-5.00.347+2.90.587-4.80.426+3.20.551+0.50.924+2.10.691
Half fence+4.20.396-0.40.93451.4%208+8.50.108-5.40.275+2.50.621-5.20.361+2.80.581+0.10.989+1.70.735
Breakable half fence-4.30.421-8.90.112-8.50.10843.0%156-13.90.009-6.00.258-13.70.024-5.70.290-8.40.108-6.80.211
Low fence+9.60.055+5.00.347+5.40.275+13.90.00956.9%197+7.90.117+0.20.974+8.20.108+5.50.264+7.10.163
Single wall+1.80.727-2.90.587-2.50.621+6.00.258-7.90.11749.0%198-7.70.184+0.30.949-2.40.627-0.70.885
Fence and open+9.40.103+4.80.426+5.20.361+13.70.024-0.20.974+7.70.18456.7%120+8.00.171+5.30.351+6.90.236
Open+1.40.779-3.20.551-2.80.581+5.70.290-8.20.108-0.30.949-8.00.17148.7%187-2.70.586-1.10.837
Rectangle+4.10.398-0.50.924-0.10.989+8.40.108-5.50.264+2.40.627-5.30.351+2.70.58651.4%218+1.60.742
Octagon+2.50.625-2.10.691-1.70.735+6.80.211-7.10.163+0.70.885-6.90.236+1.10.837-1.60.74249.7%185
Better on the row's stage — deeper at 5 and 10 pointsBetter on the column's stagep < 0.05 on its ownStill there after correcting for how many were tested· fewer than 80 decided matches on one side of the comparison
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.
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted387
Win rate51.4%
Widest swing16.8 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Breakable full fence68.2%+16.80.10522 ·
Rectangle57.9%+6.50.29057 ·
Breakable half fence52.9%+1.50.85334 ·
Low fence52.8%+1.40.82553 ·
Full fence51.3%-0.10.98539 ·
Open50.0%-1.40.84940 ·
Fence and open47.4%-4.00.71719 ·
Single wall46.1%-5.30.57826 ·
Half fence45.0%-6.40.39140 ·
Octagon44.8%-6.60.46029 ·
p < 0.05 on its ownStill there after correcting for how many were tested
The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Stage against stage

Lau's win rate on the row's stage, minus the same on the column's

All ten shapes at once: chi-square 5.10 on 9 df, p 0.826

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.3%39-16.90.200+6.30.576-1.70.887-1.60.883+5.10.685+3.90.780+1.30.909-6.60.522+6.50.598
Breakable full fence+16.90.20068.2%22+23.20.080+15.20.258+15.30.221+22.00.125+20.80.177+18.20.167+10.30.401+23.40.097
Half fence-6.30.576-23.20.08045.0%40-7.90.496-7.80.455-1.10.927-2.40.865-5.00.654-12.90.211+0.20.989
Breakable half fence+1.70.887-15.20.258+7.90.49652.9%34+0.10.992+6.80.602+5.60.697+2.90.801-5.00.645+8.10.521
Low fence+1.60.883-15.30.221+7.80.455-0.10.99252.8%53+6.70.577+5.50.683+2.80.787-5.10.593+8.00.488
Single wall-5.10.685-22.00.125+1.10.927-6.80.602-6.70.57746.1%26-1.20.936-3.90.760-11.70.319+1.30.921
Fence and open-3.90.780-20.80.177+2.40.865-5.60.697-5.50.683+1.20.93647.4%19-2.60.850-10.50.424+2.50.863
Open-1.30.909-18.20.167+5.00.654-2.90.801-2.80.787+3.90.760+2.60.85050.0%40-7.90.442+5.20.671
Rectangle+6.60.522-10.30.401+12.90.211+5.00.645+5.10.593+11.70.319+10.50.424+7.90.44257.9%57+13.10.251
Octagon-6.50.598-23.40.097-0.20.989-8.10.521-8.00.488-1.30.921-2.50.863-5.20.671-13.10.25144.8%29
Better on the row's stage — deeper at 5 and 10 pointsBetter on the column's stagep < 0.05 on its ownStill there after correcting for how many were tested· fewer than 80 decided matches on one side of the comparison
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.