VirtuAnalytics

Novel Insights Through Data & Analysis

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

Akira vs Shun

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted4,066
Win rate51.4%
Widest swing5.2 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
Rectangle56.5%+5.20.033382
Breakable half fence53.2%+1.80.468363
Half fence52.4%+1.00.653418
Open52.0%+0.70.782398
Low fence51.6%+0.20.923446
Breakable full fence51.1%-0.20.915448
Fence and open50.7%-0.70.846213
Octagon49.7%-1.60.512372
Single wall49.2%-2.10.339445
Full fence48.8%-2.50.271416
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 7.17 on 9 df, p 0.620

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence48.8%416-2.30.496-3.60.299-4.40.224-2.80.416-0.40.903-1.90.651-3.20.360-7.70.029-0.90.794
Breakable full fence+2.30.49651.1%448-1.30.707-2.00.561-0.50.892+1.90.570+0.40.921-0.90.795-5.40.118+1.40.693
Half fence+3.60.299+1.30.70752.4%418-0.80.829+0.80.809+3.20.351+1.70.688+0.40.913-4.20.239+2.70.455
Breakable half fence+4.40.224+2.00.561+0.80.82953.2%363+1.60.651+4.00.263+2.50.568+1.20.749-3.40.355+3.40.351
Low fence+2.80.416+0.50.892-0.80.809-1.60.65151.6%446+2.40.482+0.90.835-0.40.898-5.00.152+1.80.601
Single wall+0.40.903-1.90.570-3.20.351-4.00.263-2.40.48249.2%445-1.50.720-2.80.418-7.30.035-0.50.883
Fence and open+1.90.651-0.40.921-1.70.688-2.50.568-0.90.835+1.50.72050.7%213-1.30.758-5.80.170+1.00.821
Open+3.20.360+0.90.795-0.40.913-1.20.749+0.40.898+2.80.418+1.30.75852.0%398-4.50.204+2.30.527
Rectangle+7.70.029+5.40.118+4.20.239+3.40.355+5.00.152+7.30.035+5.80.170+4.50.20456.5%382+6.80.061
Octagon+0.90.794-1.40.693-2.70.455-3.40.351-1.80.601+0.50.883-1.00.821-2.30.527-6.80.06149.7%372
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 counted3,443
Win rate50.9%
Widest swing6.2 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
Rectangle57.0%+6.20.020319
Breakable half fence52.8%+2.00.472299
Open52.1%+1.30.624326
Half fence51.4%+0.50.837366
Low fence50.8%-0.00.987368
Single wall50.6%-0.20.932383
Breakable full fence50.0%-0.90.720388
Fence and open50.0%-0.90.814178
Octagon49.0%-1.80.500316
Full fence48.2%-2.70.286361
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 7.10 on 9 df, p 0.627

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence48.2%361-1.80.622-3.20.393-4.60.235-2.60.480-2.50.504-1.80.694-4.00.301-8.80.021-0.80.825
Breakable full fence+1.80.62250.0%388-1.40.708-2.80.460-0.80.823-0.70.856+0.01.000-2.10.568-7.00.061+0.90.802
Half fence+3.20.393+1.40.70851.4%366-1.50.705+0.60.881+0.70.845+1.40.765-0.80.837-5.70.136+2.30.546
Breakable half fence+4.60.235+2.80.460+1.50.70552.8%299+2.00.602+2.20.570+2.80.548+0.70.862-4.20.293+3.80.347
Low fence+2.60.480+0.80.823-0.60.881-2.00.60250.8%368+0.20.964+0.80.858-1.30.726-6.20.102+1.80.645
Single wall+2.50.504+0.70.856-0.70.845-2.20.570-0.20.96450.6%383+0.70.886-1.50.692-6.40.090+1.60.673
Fence and open+1.80.694-0.01.000-1.40.765-2.80.548-0.80.858-0.70.88650.0%178-2.10.645-7.00.130+0.90.839
Open+4.00.301+2.10.568+0.80.837-0.70.862+1.30.726+1.50.692+2.10.64552.1%326-4.90.211+3.10.433
Rectangle+8.80.021+7.00.061+5.70.136+4.20.293+6.20.102+6.40.090+7.00.130+4.90.21157.0%319+8.00.043
Octagon+0.80.825-0.90.802-2.30.546-3.80.347-1.80.645-1.60.673-0.90.839-3.10.433-8.00.04349.0%316
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 counted623
Win rate54.1%
Widest swing-13.8 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
Half fence59.6%+5.50.40452 ·
Breakable full fence58.3%+4.20.48860 ·
Low fence55.1%+1.00.84478 ·
Breakable half fence54.7%+0.60.92064 ·
Fence and open54.3%+0.20.98135 ·
Rectangle54.0%-0.10.98363 ·
Octagon53.6%-0.50.93556 ·
Full fence52.7%-1.40.83155 ·
Open51.4%-2.70.62472 ·
Single wall40.3%-13.80.02262 ·
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 5.93 on 9 df, p 0.747

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence52.7%55-5.60.546-6.90.473-2.00.831-2.40.784+12.40.179-1.60.885+1.30.881-1.20.893-0.80.929
Breakable full fence+5.60.54658.3%60-1.30.891+3.60.682+3.20.707+18.00.047+4.00.701+6.90.425+4.40.626+4.80.606
Half fence+6.90.473+1.30.89159.6%52+4.90.594+4.50.613+19.30.040+5.30.622+8.20.364+5.70.543+6.00.527
Breakable half fence+2.00.831-3.60.682-4.90.59454.7%64-0.40.958+14.40.107+0.40.969+3.30.700+0.70.935+1.10.903
Low fence+2.40.784-3.20.707-4.50.613+0.40.95855.1%78+14.80.082+0.80.934+3.70.647+1.20.891+1.60.858
Single wall-12.40.179-18.00.047-19.30.040-14.40.107-14.80.08240.3%62-14.00.185-11.10.200-13.70.127-13.20.150
Fence and open+1.60.885-4.00.701-5.30.622-0.40.969-0.80.934+14.00.18554.3%35+2.90.778+0.30.976+0.70.947
Open-1.30.881-6.90.425-8.20.364-3.30.700-3.70.647+11.10.200-2.90.77851.4%72-2.60.765-2.20.806
Rectangle+1.20.893-4.40.626-5.70.543-0.70.935-1.20.891+13.70.127-0.30.976+2.60.76554.0%63+0.40.965
Octagon+0.80.929-4.80.606-6.00.527-1.10.903-1.60.858+13.20.150-0.70.947+2.20.806-0.40.96553.6%56
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.