VirtuAnalytics

Novel Insights Through Data & Analysis

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

Goh vs Shun

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Matches counted1,983
Win rate50.7%
Widest swing-7.7 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Goh's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Rectangle54.7%+4.00.226201
Breakable full fence54.6%+3.90.221218
Open52.1%+1.40.699165
Full fence50.8%+0.10.974189
Breakable half fence50.2%-0.40.896203
Half fence50.0%-0.70.844190
Octagon49.5%-1.20.723208
Single wall49.5%-1.20.727186
Low fence48.6%-2.10.520218
Fence and open43.0%-7.70.080121
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

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

All ten shapes at once: chi-square 6.30 on 9 df, p 0.710

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence50.8%189-3.80.445+0.80.877+0.50.914+2.20.662+1.30.797+7.80.179-1.30.803-3.90.437+1.30.800
Breakable full fence+3.80.44554.6%218+4.60.355+4.30.373+6.00.213+5.10.304+11.60.040+2.50.632-0.10.977+5.10.295
Half fence-0.80.877-4.60.35550.0%190-0.20.961+1.40.782+0.50.917+7.00.226-2.10.690-4.70.350+0.50.924
Breakable half fence-0.50.914-4.30.373+0.20.96150.2%203+1.60.739+0.80.877+7.30.205-1.90.720-4.50.367+0.70.883
Low fence-2.20.662-6.00.213-1.40.782-1.60.73948.6%218-0.80.867+5.60.318-3.50.498-6.10.212-0.90.853
Single wall-1.30.797-5.10.304-0.50.917-0.80.877+0.80.86749.5%186+6.50.266-2.70.619-5.30.300-0.10.991
Fence and open-7.80.179-11.60.040-7.00.226-7.30.205-5.60.318-6.50.26643.0%121-9.10.126-11.80.041-6.50.252
Open+1.30.803-2.50.632+2.10.690+1.90.720+3.50.498+2.70.619+9.10.12652.1%165-2.60.619+2.60.618
Rectangle+3.90.437+0.10.977+4.70.350+4.50.367+6.10.212+5.30.300+11.80.041+2.60.61954.7%201+5.20.292
Octagon-1.30.800-5.10.295-0.50.924-0.70.883+0.90.853+0.10.991+6.50.252-2.60.618-5.20.29249.5%208
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 counted1,666
Win rate49.5%
Widest swing-5.8 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Goh's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Rectangle53.7%+4.20.241175
Breakable full fence52.9%+3.40.350174
Open50.8%+1.20.767130
Octagon50.5%+1.00.768184
Breakable half fence50.3%+0.80.829183
Single wall49.4%-0.20.965154
Full fence48.3%-1.20.759149
Half fence48.2%-1.40.716164
Low fence44.5%-5.00.164173
Fence and open43.7%-5.80.222103
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

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

All ten shapes at once: chi-square 5.56 on 9 df, p 0.783

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence48.3%149-4.50.415+0.10.979-1.90.724+3.80.494-1.00.858+4.60.468-2.50.683-5.40.333-2.20.687
Breakable full fence+4.50.41552.9%174+4.70.387+2.60.623+8.40.119+3.50.524+9.20.140+2.10.716-0.80.875+2.30.659
Half fence-0.10.979-4.70.38748.2%164-2.10.696+3.70.500-1.20.833+4.50.475-2.60.658-5.50.308-2.40.659
Breakable half fence+1.90.724-2.60.623+2.10.69650.3%183+5.80.276+0.90.866+6.60.285-0.50.931-3.40.515-0.30.959
Low fence-3.80.494-8.40.119-3.70.500-5.80.27644.5%173-4.80.381+0.80.895-6.30.280-9.20.086-6.00.254
Single wall+1.00.858-3.50.524+1.20.833-0.90.866+4.80.38149.4%154+5.70.373-1.40.812-4.40.429-1.20.827
Fence and open-4.60.468-9.20.140-4.50.475-6.60.285-0.80.895-5.70.37343.7%103-7.10.283-10.00.106-6.80.265
Open+2.50.683-2.10.716+2.60.658+0.50.931+6.30.280+1.40.812+7.10.28350.8%130-2.90.611+0.20.969
Rectangle+5.40.333+0.80.875+5.50.308+3.40.515+9.20.086+4.40.429+10.00.106+2.90.61153.7%175+3.20.548
Octagon+2.20.687-2.30.659+2.40.659+0.30.959+6.00.254+1.20.827+6.80.265-0.20.969-3.20.54850.5%184
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 counted317
Win rate56.8%
Widest swing-17.9 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Goh's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Low fence64.4%+7.70.26345 ·
Half fence61.5%+4.80.60926 ·
Rectangle61.5%+4.80.60926 ·
Breakable full fence61.4%+4.60.50944 ·
Full fence60.0%+3.20.66040 ·
Open57.1%+0.40.96435 ·
Breakable half fence50.0%-6.80.52720 ·
Single wall50.0%-6.80.41432 ·
Octagon41.7%-15.10.12024 ·
Fence and open38.9%-17.90.11518 ·
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

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

All ten shapes at once: chi-square 7.63 on 9 df, p 0.571

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence60.0%40-1.40.898-1.50.901+10.00.461-4.40.673+10.00.396+21.10.136+2.90.802-1.50.901+18.30.155
Breakable full fence+1.40.89861.4%44-0.20.988+11.40.394-3.10.764+11.40.324+22.50.107+4.20.704-0.20.988+19.70.119
Half fence+1.50.901+0.20.98861.5%26+11.50.434-2.90.807+11.50.380+22.60.139+4.40.730+0.01.000+19.90.160
Breakable half fence-10.00.461-11.40.394-11.50.43450.0%20-14.40.273+0.01.000+11.10.492-7.10.609-11.50.434+8.30.580
Low fence+4.40.673+3.10.764+2.90.807+14.40.27364.4%45+14.40.205+25.60.064+7.30.506+2.90.807+22.80.069
Single wall-10.00.396-11.40.324-11.50.380-0.01.000-14.40.20550.0%32+11.10.449-7.10.558-11.50.380+8.30.536
Fence and open-21.10.136-22.50.107-22.60.139-11.10.492-25.60.064-11.10.44938.9%18-18.20.208-22.60.139-2.80.856
Open-2.90.802-4.20.704-4.40.730+7.10.609-7.30.506+7.10.558+18.20.20857.1%35-4.40.730+15.50.243
Rectangle+1.50.901+0.20.988-0.01.000+11.50.434-2.90.807+11.50.380+22.60.139+4.40.73061.5%26+19.90.160
Octagon-18.30.155-19.70.119-19.90.160-8.30.580-22.80.069-8.30.536+2.80.856-15.50.243-19.90.16041.7%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.