VirtuAnalytics

Novel Insights Through Data & Analysis

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

Akira vs Wolf

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted4,936
Win rate50.0%
Widest swing-3.8 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
Open52.0%+2.00.379452
Half fence51.4%+1.30.521516
Full fence51.2%+1.20.578500
Single wall50.9%+0.90.677495
Fence and open50.6%+0.60.853259
Breakable half fence50.3%+0.30.894489
Octagon50.3%+0.30.897521
Breakable full fence49.4%-0.60.773520
Low fence46.3%-3.70.083484
Rectangle46.3%-3.80.083482
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 7.00 on 9 df, p 0.637

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.2%500+1.80.570-0.20.960+0.90.779+4.90.123+0.30.927+0.60.871-0.80.807+4.90.122+0.90.771
Breakable full fence-1.80.57049.4%520-1.90.534-0.90.779+3.10.319-1.50.636-1.20.761-2.60.424+3.10.317-0.90.780
Half fence+0.20.960+1.90.53451.4%516+1.10.739+5.10.109+0.50.887+0.80.838-0.60.844+5.10.108+1.10.731
Breakable half fence-0.90.779+0.90.779-1.10.73950.3%489+4.00.209-0.60.850-0.30.943-1.70.606+4.00.208+0.00.995
Low fence-4.90.123-3.10.319-5.10.109-4.00.20946.3%484-4.60.147-4.30.264-5.70.081+0.00.996-4.00.204
Single wall-0.30.927+1.50.636-0.50.887+0.60.850+4.60.14750.9%495+0.30.931-1.10.739+4.60.147+0.60.843
Fence and open-0.60.871+1.20.761-0.80.838+0.30.943+4.30.264-0.30.93150.6%259-1.40.717+4.30.262+0.30.939
Open+0.80.807+2.60.424+0.60.844+1.70.606+5.70.081+1.10.739+1.40.71752.0%452+5.70.080+1.70.596
Rectangle-4.90.122-3.10.317-5.10.108-4.00.208-0.00.996-4.60.147-4.30.262-5.70.08046.3%482-4.00.203
Octagon-0.90.771+0.90.780-1.10.731-0.00.995+4.00.204-0.60.843-0.30.939-1.70.596+4.00.20350.3%521
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 counted4,582
Win rate49.6%
Widest swing-3.4 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
Open51.8%+2.20.345425
Half fence51.3%+1.70.440478
Single wall50.8%+1.20.595465
Full fence50.5%+0.90.665465
Octagon49.9%+0.30.882497
Breakable half fence49.5%-0.10.984434
Fence and open48.7%-0.80.789238
Breakable full fence48.6%-1.00.658471
Low fence46.3%-3.30.136456
Rectangle46.2%-3.40.131446
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 6.02 on 9 df, p 0.737

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence50.5%465+1.90.557-0.70.826+1.00.765+4.30.195-0.20.948+1.80.652-1.20.715+4.30.189+0.60.843
Breakable full fence-1.90.55748.6%471-2.60.417-0.90.782+2.40.474-2.10.514-0.10.976-3.10.347+2.40.461-1.30.691
Half fence+0.70.826+2.60.41751.3%478+1.70.605+5.00.128+0.50.877+2.50.526-0.50.878+5.10.124+1.40.672
Breakable half fence-1.00.765+0.90.782-1.70.60549.5%434+3.30.329-1.20.716+0.80.843-2.20.514+3.40.320-0.40.913
Low fence-4.30.195-2.40.474-5.00.128-3.30.32946.3%456-4.50.174-2.50.536-5.50.103+0.10.980-3.60.263
Single wall+0.20.948+2.10.514-0.50.877+1.20.716+4.50.17450.8%465+2.00.613-1.00.763+4.60.168+0.80.791
Fence and open-1.80.652+0.10.976-2.50.526-0.80.843+2.50.536-2.00.61348.7%238-3.00.455+2.50.524-1.20.769
Open+1.20.715+3.10.347+0.50.878+2.20.514+5.50.103+1.00.763+3.00.45551.8%425+5.60.100+1.90.572
Rectangle-4.30.189-2.40.461-5.10.124-3.40.320-0.10.980-4.60.168-2.50.524-5.60.10046.2%446-3.70.255
Octagon-0.60.843+1.30.691-1.40.672+0.40.913+3.60.263-0.80.791+1.20.769-1.90.572+3.70.25549.9%497
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 counted354
Win rate55.6%
Widest swing15.8 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 open71.4%+15.80.13321 ·
Full fence60.0%+4.30.58535 ·
Octagon58.3%+2.70.78424 ·
Breakable full fence57.1%+1.50.82149 ·
Breakable half fence56.4%+0.70.90855 ·
Open55.6%-0.10.99227 ·
Single wall53.3%-2.30.79030 ·
Half fence52.6%-3.00.69238 ·
Rectangle47.2%-8.40.28336 ·
Low fence46.4%-9.20.30628 ·
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 4.70 on 9 df, p 0.859

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence60.0%35+2.90.793+7.40.526+3.60.733+13.60.283+6.70.588-11.40.388+4.40.725+12.80.280+1.70.898
Breakable full fence-2.90.79357.1%49+4.50.675+0.80.936+10.70.365+3.80.741-14.30.260+1.60.894+9.90.365-1.20.923
Half fence-7.40.526-4.50.67552.6%38-3.70.722+6.20.618-0.70.954-18.80.159-2.90.816+5.40.642-5.70.660
Breakable half fence-3.60.733-0.80.936+3.70.72256.4%55+9.90.391+3.00.788-15.10.230+0.80.945+9.10.393-2.00.871
Low fence-13.60.283-10.70.365-6.20.618-9.90.39146.4%28-6.90.599-25.00.080-9.10.498-0.80.950-11.90.392
Single wall-6.70.588-3.80.741+0.70.954-3.00.788+6.90.59953.3%30-18.10.193-2.20.866+6.10.621-5.00.713
Fence and open+11.40.388+14.30.260+18.80.159+15.10.230+25.00.080+18.10.19371.4%21+15.90.260+24.20.076+13.10.360
Open-4.40.725-1.60.894+2.90.816-0.80.945+9.10.498+2.20.866-15.90.26055.6%27+8.30.513-2.80.842
Rectangle-12.80.280-9.90.365-5.40.642-9.10.393+0.80.950-6.10.621-24.20.076-8.30.51347.2%36-11.10.399
Octagon-1.70.898+1.20.923+5.70.660+2.00.871+11.90.392+5.00.713-13.10.360+2.80.842+11.10.39958.3%24
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.