VirtuAnalytics

Novel Insights Through Data & Analysis

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

Akira vs Kage

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted5,100
Win rate48.7%
Widest swing4.5 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
Full fence53.2%+4.50.027528
Half fence50.6%+2.00.326557
Single wall49.9%+1.20.550523
Rectangle49.6%+0.90.679470
Breakable full fence49.4%+0.70.737490
Breakable half fence48.8%+0.20.942469
Fence and open48.3%-0.40.906267
Open46.4%-2.30.279515
Low fence45.9%-2.80.192499
Octagon45.0%-3.70.063554
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 11.49 on 9 df, p 0.244

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence53.2%528+3.80.222+2.60.393+4.40.166+7.30.019+3.30.282+4.90.191+6.80.028+3.60.250+8.30.007
Breakable full fence-3.80.22249.4%490-1.20.689+0.60.862+3.50.271-0.50.869+1.10.778+3.00.345-0.20.954+4.40.151
Half fence-2.60.393+1.20.68950.6%557+1.80.565+4.70.124+0.70.812+2.30.534+4.20.167+1.10.736+5.70.058
Breakable half fence-4.40.166-0.60.862-1.80.56548.8%469+2.90.361-1.10.735+0.50.894+2.40.448-0.70.819+3.90.215
Low fence-7.30.019-3.50.271-4.70.124-2.90.36145.9%499-4.00.199-2.40.522-0.50.869-3.70.251+0.90.758
Single wall-3.30.282+0.50.869-0.70.812+1.10.735+4.00.19949.9%523+1.60.672+3.50.260+0.30.917+5.00.103
Fence and open-4.90.191-1.10.778-2.30.534-0.50.894+2.40.522-1.60.67248.3%267+1.90.612-1.30.742+3.40.364
Open-6.80.028-3.00.345-4.20.167-2.40.448+0.50.869-3.50.260-1.90.61246.4%515-3.20.320+1.50.632
Rectangle-3.60.250+0.20.954-1.10.736+0.70.819+3.70.251-0.30.917+1.30.742+3.20.32049.6%470+4.60.139
Octagon-8.30.007-4.40.151-5.70.058-3.90.215-0.90.758-5.00.103-3.40.364-1.50.632-4.60.13945.0%554
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 counted4,197
Win rate47.8%
Widest swing3.5 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
Full fence51.2%+3.50.119449
Half fence50.8%+3.00.171459
Rectangle50.0%+2.20.364370
Single wall48.7%+0.90.685419
Breakable full fence48.0%+0.30.901408
Breakable half fence47.6%-0.10.958378
Fence and open46.5%-1.30.690226
Low fence45.5%-2.30.322418
Open44.7%-3.00.194418
Octagon44.4%-3.40.125464
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 9.40 on 9 df, p 0.401

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.2%449+3.20.352+0.50.889+3.60.302+5.80.089+2.50.455+4.80.243+6.50.056+1.20.727+6.80.039
Breakable full fence-3.20.35248.0%408-2.70.423+0.40.906+2.60.457-0.70.852+1.60.703+3.30.341-2.00.585+3.60.282
Half fence-0.50.889+2.70.42350.8%459+3.10.365+5.30.116+2.10.539+4.30.290+6.00.074+0.80.827+6.40.053
Breakable half fence-3.60.302-0.40.906-3.10.36547.6%378+2.20.541-1.10.763+1.20.782+2.90.415-2.40.515+3.20.351
Low fence-5.80.089-2.60.457-5.30.116-2.20.54145.5%418-3.20.349-1.00.807+0.70.835-4.50.202+1.10.752
Single wall-2.50.455+0.70.852-2.10.539+1.10.763+3.20.34948.7%419+2.20.589+4.00.252-1.30.713+4.30.202
Fence and open-4.80.243-1.60.703-4.30.290-1.20.782+1.00.807-2.20.58946.5%226+1.70.675-3.50.402+2.10.609
Open-6.50.056-3.30.341-6.00.074-2.90.415-0.70.835-4.00.252-1.70.67544.7%418-5.30.140+0.30.919
Rectangle-1.20.727+2.00.585-0.80.827+2.40.515+4.50.202+1.30.713+3.50.402+5.30.14050.0%370+5.60.107
Octagon-6.80.039-3.60.282-6.40.053-3.20.351-1.10.752-4.30.202-2.10.609-0.30.919-5.60.10744.4%464
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 counted903
Win rate52.9%
Widest swing11.6 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
Full fence64.6%+11.60.03079 ·
Fence and open58.5%+5.60.46241 ·
Breakable full fence56.1%+3.20.54782
Single wall54.8%+1.90.684104
Breakable half fence53.9%+0.90.85491
Open53.6%+0.70.88897
Half fence50.0%-2.90.53898
Low fence48.1%-4.80.36681
Rectangle48.0%-4.90.294100
Octagon47.8%-5.20.30290
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 8.34 on 9 df, p 0.500

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence64.6%79+8.50.273+14.60.052+10.70.157+16.40.036+9.80.184+6.00.518+10.90.143+16.60.027+16.80.028
Breakable full fence-8.50.27356.1%82+6.10.414+2.20.766+8.00.310+1.30.861-2.40.797+2.50.739+8.10.277+8.30.275
Half fence-14.60.052-6.10.41450.0%98-3.90.597+1.90.805-4.80.494-8.50.358-3.60.614+2.00.778+2.20.761
Breakable half fence-10.70.157-2.20.766+3.90.59753.9%91+5.70.456-1.00.893-4.70.616+0.20.974+5.80.420+6.10.414
Low fence-16.40.036-8.00.310-1.90.805-5.70.45648.1%81-6.70.368-10.40.278-5.50.468+0.10.984+0.40.961
Single wall-9.80.184-1.30.861+4.80.494+1.00.893+6.70.36854.8%104-3.70.684+1.20.865+6.80.331+7.00.329
Fence and open-6.00.518+2.40.797+8.50.358+4.70.616+10.40.278+3.70.68458.5%41+4.90.595+10.50.256+10.80.253
Open-10.90.143-2.50.739+3.60.614-0.20.974+5.50.468-1.20.865-4.90.59553.6%97+5.60.431+5.80.426
Rectangle-16.60.027-8.10.277-2.00.778-5.80.420-0.10.984-6.80.331-10.50.256-5.60.43148.0%100+0.20.976
Octagon-16.80.028-8.30.275-2.20.761-6.10.414-0.40.961-7.00.329-10.80.253-5.80.426-0.20.97647.8%90
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.