VirtuAnalytics

Novel Insights Through Data & Analysis

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

Akira vs Brad

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Matches counted4,072
Win rate50.5%
Widest swing-6.2 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
Half fence53.7%+3.20.146443
Rectangle53.1%+2.70.240429
Full fence51.8%+1.30.586396
Breakable full fence51.6%+1.20.623397
Octagon51.2%+0.70.753418
Low fence50.9%+0.40.875344
Open49.9%-0.60.798431
Single wall49.1%-1.40.571395
Fence and open48.7%-1.80.614189
Breakable half fence44.2%-6.20.007416
p < 0.05 on its ownStill there after correcting for how many were tested
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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 10.76 on 9 df, p 0.292

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.8%396+0.10.971-1.90.571+7.50.032+0.90.808+2.70.455+3.10.484+1.90.588-1.40.692+0.60.870
Breakable full fence-0.10.97151.6%397-2.10.545+7.40.035+0.80.835+2.50.478+3.00.503+1.80.614-1.50.664+0.40.900
Half fence+1.90.571+2.10.54553.7%443+9.50.005+2.90.427+4.60.182+5.00.245+3.80.256+0.60.864+2.50.458
Breakable half fence-7.50.032-7.40.035-9.50.00544.2%416-6.60.068-4.90.164-4.50.309-5.70.099-8.90.010-7.00.044
Low fence-0.90.808-0.80.835-2.90.427+6.60.06850.9%344+1.80.633+2.20.628+1.00.785-2.30.529-0.30.929
Single wall-2.70.455-2.50.478-4.60.182+4.90.164-1.80.63349.1%395+0.40.921-0.80.825-4.00.247-2.10.553
Fence and open-3.10.484-3.00.503-5.00.245+4.50.309-2.20.628-0.40.92148.7%189-1.20.782-4.50.306-2.50.565
Open-1.90.588-1.80.614-3.80.256+5.70.099-1.00.785+0.80.825+1.20.78249.9%431-3.30.338-1.30.702
Rectangle+1.40.692+1.50.664-0.60.864+8.90.010+2.30.529+4.00.247+4.50.306+3.30.33853.1%429+1.90.570
Octagon-0.60.870-0.40.900-2.50.458+7.00.044+0.30.929+2.10.553+2.50.565+1.30.702-1.90.57051.2%418
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.
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Matches counted3,430
Win rate49.8%
Widest swing-8.4 pts
Survive correction1
Period2026/03/26 – 2026/09/23

Where it was fought

Akira's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Rectangle52.6%+2.80.254369
Breakable full fence52.3%+2.50.339331
Half fence52.1%+2.40.330372
Low fence51.9%+2.10.449291
Full fence51.7%+1.90.466327
Octagon50.0%+0.20.925364
Fence and open48.7%-1.10.785152
Single wall48.5%-1.30.627334
Open48.5%-1.30.604361
Breakable half fence41.4%-8.4<0.001348
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 14.16 on 9 df, p 0.117

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.7%327-0.60.881-0.50.902+10.30.007-0.20.959+3.20.414+3.00.541+3.20.401-0.90.814+1.70.659
Breakable full fence+0.60.88152.3%331+0.10.976+10.90.004+0.40.925+3.80.332+3.60.465+3.80.319-0.30.935+2.30.551
Half fence+0.50.902-0.10.97652.1%372+10.80.004+0.30.947+3.60.333+3.50.471+3.70.320-0.40.908+2.10.560
Breakable half fence-10.30.007-10.90.004-10.80.00441.4%348-10.50.008-7.10.062-7.30.130-7.10.058-11.20.003-8.60.021
Low fence+0.20.959-0.40.925-0.30.947+10.50.00851.9%291+3.40.398+3.20.522+3.40.386-0.70.861+1.90.631
Single wall-3.20.414-3.80.332-3.60.333+7.10.062-3.40.39848.5%334-0.20.970+0.00.994-4.10.281-1.50.693
Fence and open-3.00.541-3.60.465-3.50.471+7.30.130-3.20.522+0.20.97048.7%152+0.20.966-3.90.419-1.30.785
Open-3.20.401-3.80.319-3.70.320+7.10.058-3.40.386-0.00.994-0.20.96648.5%361-4.10.268-1.50.682
Rectangle+0.90.814+0.30.935+0.40.908+11.20.003+0.70.861+4.10.281+3.90.419+4.10.26852.6%369+2.60.486
Octagon-1.70.659-2.30.551-2.10.560+8.60.021-1.90.631+1.50.693+1.30.785+1.50.682-2.60.48650.0%364
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 counted642
Win rate54.2%
Widest swing-8.9 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
Half fence62.0%+7.80.16471 ·
Octagon59.3%+5.00.43654 ·
Breakable half fence58.8%+4.60.41968 ·
Open57.1%+2.90.60170 ·
Rectangle56.7%+2.50.68860 ·
Single wall52.5%-1.80.77361 ·
Full fence52.2%-2.00.72069 ·
Fence and open48.6%-5.60.48537 ·
Breakable full fence48.5%-5.70.32566 ·
Low fence45.3%-8.90.17353 ·
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 6.46 on 9 df, p 0.693

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence52.2%69+3.70.668-9.80.242-6.70.434+6.90.450-0.30.974+3.50.729-5.00.556-4.50.609-7.10.433
Breakable full fence-3.70.66848.5%66-13.50.112-10.30.230+3.20.728-4.00.654-0.20.987-8.70.312-8.20.358-10.80.239
Half fence+9.80.242+13.50.11262.0%71+3.10.704+16.70.065+9.50.270+13.30.184+4.80.559+5.30.538+2.70.758
Breakable half fence+6.70.434+10.30.230-3.10.70458.8%68+13.50.139+6.40.467+10.20.317+1.70.842+2.10.805-0.40.961
Low fence-6.90.450-3.20.728-16.70.065-13.50.13945.3%53-7.20.445-3.40.753-11.90.192-11.40.227-14.00.148
Single wall+0.30.974+4.00.654-9.50.270-6.40.467+7.20.44552.5%61+3.80.715-4.70.591-4.20.642-6.80.464
Fence and open-3.50.729+0.20.987-13.30.184-10.20.317+3.40.753-3.80.71548.6%37-8.50.402-8.00.442-10.60.318
Open+5.00.556+8.70.312-4.80.559-1.70.842+11.90.192+4.70.591+8.50.40257.1%70+0.50.956-2.10.813
Rectangle+4.50.609+8.20.358-5.30.538-2.10.805+11.40.227+4.20.642+8.00.442-0.50.95656.7%60-2.60.780
Octagon+7.10.433+10.80.239-2.70.758+0.40.961+14.00.148+6.80.464+10.60.318+2.10.813+2.60.78059.3%54
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.