VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Pai

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted2,486
Win rate51.6%
Widest swing-6.1 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
Full fence55.0%+3.40.278229
Low fence53.2%+1.60.591248
Open53.2%+1.60.605233
Single wall52.4%+0.80.797227
Octagon52.2%+0.60.850253
Rectangle51.4%-0.20.943251
Half fence50.6%-1.00.754235
Breakable full fence50.2%-1.40.598295
Breakable half fence48.8%-2.80.306297
Fence and open45.5%-6.10.188112
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 4.56 on 9 df, p 0.871

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence55.0%229+4.80.270+4.40.344+6.20.158+1.80.694+2.60.578+9.50.100+1.80.697+3.60.426+2.90.531
Breakable full fence-4.80.27050.2%295-0.50.915+1.40.743-3.10.478-2.20.610+4.60.404-3.00.486-1.20.775-2.00.640
Half fence-4.40.344+0.50.91550.6%235+1.80.677-2.60.569-1.80.701+5.10.374-2.60.576-0.80.868-1.50.735
Breakable half fence-6.20.158-1.40.743-1.80.67748.8%297-4.40.306-3.60.414+3.30.553-4.40.315-2.60.548-3.40.433
Low fence-1.80.694+3.10.478+2.60.569+4.40.30653.2%248+0.80.861+7.70.177+0.00.999+1.80.682+1.10.814
Single wall-2.60.578+2.20.610+1.80.701+3.60.414-0.80.86152.4%227+6.90.233-0.80.864+1.00.822+0.20.957
Fence and open-9.50.100-4.60.404-5.10.374-3.30.553-7.70.177-6.90.23345.5%112-7.70.181-5.80.302-6.60.242
Open-1.80.697+3.00.486+2.60.576+4.40.315-0.00.999+0.80.864+7.70.18153.2%233+1.80.688+1.10.818
Rectangle-3.60.426+1.20.775+0.80.868+2.60.548-1.80.682-1.00.822+5.80.302-1.80.68851.4%251-0.80.861
Octagon-2.90.531+2.00.640+1.50.735+3.40.433-1.10.814-0.20.957+6.60.242-1.10.818+0.80.86152.2%253
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 counted1,818
Win rate50.5%
Widest swing-8.2 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 fence54.6%+4.10.236183
Half fence53.7%+3.20.350188
Rectangle52.4%+1.90.611170
Open52.0%+1.50.681179
Full fence51.8%+1.30.728170
Single wall51.8%+1.30.728170
Octagon50.3%-0.20.958167
Breakable full fence45.9%-4.70.133229
Breakable half fence45.7%-4.80.139208
Fence and open42.2%-8.20.15771 ·
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 8.47 on 9 df, p 0.488

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.8%170+5.90.242-2.00.711+6.10.238-2.90.588+0.01.000+9.50.178-0.20.972-0.60.914+1.50.788
Breakable full fence-5.90.24245.9%229-7.90.110+0.20.970-8.80.076-5.90.242+3.60.594-6.10.221-6.50.199-4.50.382
Half fence+2.00.711+7.90.11053.7%188+8.10.110-0.90.859+2.00.711+11.50.100+1.80.734+1.40.795+3.40.519
Breakable half fence-6.10.238-0.20.970-8.10.11045.7%208-9.00.077-6.10.238+3.40.617-6.30.218-6.70.196-4.60.373
Low fence+2.90.588+8.80.076+0.90.859+9.00.07754.6%183+2.90.588+12.40.076+2.70.608+2.30.666+4.30.416
Single wall-0.01.000+5.90.242-2.00.711+6.10.238-2.90.58851.8%170+9.50.178-0.20.972-0.60.914+1.50.788
Fence and open-9.50.178-3.60.594-11.50.100-3.40.617-12.40.076-9.50.17842.2%71-9.70.166-10.10.153-8.10.256
Open+0.20.972+6.10.221-1.80.734+6.30.218-2.70.608+0.20.972+9.70.16652.0%179-0.40.941+1.70.758
Rectangle+0.60.914+6.50.199-1.40.795+6.70.196-2.30.666+0.60.914+10.10.153+0.40.94152.4%170+2.00.706
Octagon-1.50.788+4.50.382-3.40.519+4.60.373-4.30.416-1.50.788+8.10.256-1.70.758-2.00.70650.3%167
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 counted668
Win rate54.6%
Widest swing-16.3 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 fence65.2%+10.50.07166 ·
Full fence64.4%+9.80.11559 ·
Open57.4%+2.80.67054 ·
Breakable half fence56.2%+1.50.75489
Octagon55.8%+1.20.81586
Single wall54.4%-0.20.96857 ·
Fence and open51.2%-3.40.65041 ·
Rectangle49.4%-5.30.31181
Low fence49.2%-5.40.35665 ·
Half fence38.3%-16.30.02047 ·
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 12.44 on 9 df, p 0.190

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence64.4%59-0.70.931+26.10.007+8.20.318+15.20.089+10.00.272+13.20.187+7.00.446+15.00.077+8.60.301
Breakable full fence+0.70.93165.2%66+26.90.005+9.00.260+15.90.066+10.80.224+13.90.153+7.70.385+15.80.055+9.30.244
Half fence-26.10.007-26.90.00538.3%47-17.90.047-10.90.251-16.10.102-12.90.224-19.10.055-11.10.225-17.50.053
Breakable half fence-8.20.318-9.00.260+17.90.04756.2%89+7.00.393+1.80.832+5.00.598-1.20.886+6.80.375+0.40.961
Low fence-15.20.089-15.90.066+10.90.251-7.00.39349.2%65-5.20.570-2.00.842-8.20.374-0.10.985-6.60.422
Single wall-10.00.272-10.80.224+16.10.102-1.80.832+5.20.57054.4%57+3.20.757-3.00.749+5.00.563-1.40.866
Fence and open-13.20.187-13.90.153+12.90.224-5.00.598+2.00.842-3.20.75751.2%41-6.20.548+1.80.848-4.60.627
Open-7.00.446-7.70.385+19.10.055+1.20.886+8.20.374+3.00.749+6.20.54857.4%54+8.00.360+1.60.853
Rectangle-15.00.077-15.80.055+11.10.225-6.80.375+0.10.985-5.00.563-1.80.848-8.00.36049.4%81-6.40.405
Octagon-8.60.301-9.30.244+17.50.053-0.40.961+6.60.422+1.40.866+4.60.627-1.60.853+6.40.40555.8%86
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.