VirtuAnalytics

Novel Insights Through Data & Analysis

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

Akira vs Pai

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted3,646
Win rate51.2%
Widest swing8.8 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Akira's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Fence and open60.0%+8.80.025155
Half fence54.0%+2.80.269352
Rectangle52.8%+1.70.512352
Full fence52.3%+1.10.649369
Open52.0%+0.80.740410
Breakable full fence50.0%-1.20.640354
Breakable half fence49.4%-1.80.441413
Single wall49.0%-2.20.390355
Low fence49.0%-2.20.392341
Octagon48.5%-2.60.305346
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

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

All ten shapes at once: chi-square 9.61 on 9 df, p 0.383

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence52.3%369+2.30.536-1.70.653+2.90.417+3.30.375+3.30.376-7.70.106+0.30.922-0.50.885+3.80.316
Breakable full fence-2.30.53650.0%354-4.00.290+0.60.867+1.00.787+1.00.793-10.00.037-1.90.591-2.80.450+1.40.702
Half fence+1.70.653+4.00.29054.0%352+4.60.206+5.00.188+5.00.187-6.00.208+2.00.576+1.10.762+5.40.152
Breakable half fence-2.90.417-0.60.867-4.60.20649.4%413+0.40.908+0.40.916-10.60.024-2.60.463-3.50.342+0.80.818
Low fence-3.30.375-1.00.787-5.00.188-0.40.90849.0%341-0.00.991-11.00.023-3.00.416-3.90.309+0.40.913
Single wall-3.30.376-1.00.793-5.00.187-0.40.916+0.00.99149.0%355-11.00.022-2.90.418-3.80.309+0.50.903
Fence and open+7.70.106+10.00.037+6.00.208+10.60.024+11.00.023+11.00.02260.0%155+8.10.087+7.20.135+11.40.018
Open-0.30.922+1.90.591-2.00.576+2.60.463+3.00.416+2.90.418-8.10.08752.0%410-0.90.806+3.40.352
Rectangle+0.50.885+2.80.450-1.10.762+3.50.342+3.90.309+3.80.309-7.20.135+0.90.80652.8%352+4.30.257
Octagon-3.80.316-1.40.702-5.40.152-0.80.818-0.40.913-0.50.903-11.40.018-3.40.352-4.30.25748.5%346
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 counted3,279
Win rate51.4%
Widest swing8.1 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Akira's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Fence and open59.4%+8.10.049143
Half fence54.0%+2.60.332313
Full fence53.3%+1.90.462334
Rectangle52.6%+1.20.659310
Open51.6%+0.20.929374
Breakable half fence50.8%-0.60.812372
Breakable full fence50.0%-1.40.605314
Single wall49.0%-2.40.382314
Low fence48.7%-2.60.321318
Octagon48.1%-3.30.219312
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

Akira'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 fence53.3%334+3.30.402-0.70.858+2.50.509+4.50.245+4.20.280-6.20.216+1.70.653+0.70.856+5.20.185
Breakable full fence-3.30.40250.0%314-4.00.317-0.80.833+1.30.752+1.00.811-9.40.061-1.60.675-2.60.519+1.90.630
Half fence+0.70.858+4.00.31754.0%313+3.20.405+5.20.187+5.00.215-5.50.277+2.40.532+1.40.724+5.90.139
Breakable half fence-2.50.509+0.80.833-3.20.40550.8%372+2.10.589+1.80.646-8.60.079-0.80.827-1.80.644+2.70.477
Low fence-4.50.245-1.30.752-5.20.187-2.10.58948.7%318-0.30.939-10.70.033-2.90.453-3.80.336+0.70.867
Single wall-4.20.280-1.00.811-5.00.215-1.80.646+0.30.93949.0%314-10.40.039-2.60.504-3.50.377+1.00.809
Fence and open+6.20.216+9.40.061+5.50.277+8.60.079+10.70.033+10.40.03959.4%143+7.80.110+6.90.173+11.40.024
Open-1.70.653+1.60.675-2.40.532+0.80.827+2.90.453+2.60.504-7.80.11051.6%374-1.00.799+3.50.358
Rectangle-0.70.856+2.60.519-1.40.724+1.80.644+3.80.336+3.50.377-6.90.173+1.00.79952.6%310+4.50.261
Octagon-5.20.185-1.90.630-5.90.139-2.70.477-0.70.867-1.00.809-11.40.024-3.50.358-4.50.26148.1%312
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 counted367
Win rate49.3%
Widest swing17.4 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Akira's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Fence and open66.7%+17.40.22212 ·
Open55.6%+6.20.43136 ·
Rectangle54.8%+5.40.45342 ·
Half fence53.9%+4.50.55039 ·
Octagon52.9%+3.60.65734 ·
Low fence52.2%+2.90.77723 ·
Breakable full fence50.0%+0.70.92740 ·
Single wall48.8%-0.50.94241 ·
Full fence42.9%-6.50.42135 ·
Breakable half fence36.6%-12.70.08441 ·
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

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

All ten shapes at once: chi-square 6.24 on 9 df, p 0.716

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence42.9%35-7.10.536-11.00.345+6.30.577-9.30.487-5.90.606-23.80.154-12.70.285-11.90.298-10.10.402
Breakable full fence+7.10.53650.0%40-3.90.732+13.40.223-2.20.868+1.20.913-16.70.310-5.60.628-4.80.666-2.90.801
Half fence+11.00.345+3.90.73253.9%39+17.30.121+1.70.899+5.10.650-12.80.433-1.70.882-0.90.934+0.90.938
Breakable half fence-6.30.577-13.40.223-17.30.12136.6%41-15.60.226-12.20.264-30.10.064-19.00.095-18.20.097-16.40.155
Low fence+9.30.487+2.20.868-1.70.899+15.60.22652.2%23+3.40.794-14.50.411-3.40.799-2.60.841-0.80.955
Single wall+5.90.606-1.20.913-5.10.650+12.20.264-3.40.79448.8%41-17.90.275-6.80.553-6.00.586-4.20.720
Fence and open+23.80.154+16.70.310+12.80.433+30.10.064+14.50.411+17.90.27566.7%12+11.10.499+11.90.462+13.70.410
Open+12.70.285+5.60.628+1.70.882+19.00.095+3.40.799+6.80.553-11.10.49955.6%36+0.80.944+2.60.826
Rectangle+11.90.298+4.80.666+0.90.934+18.20.097+2.60.841+6.00.586-11.90.462-0.80.94454.8%42+1.80.874
Octagon+10.10.402+2.90.801-0.90.938+16.40.155+0.80.955+4.20.720-13.70.410-2.60.826-1.80.87452.9%34
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.