VirtuAnalytics

Novel Insights Through Data & Analysis

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

Dural vs Goh

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Matches counted467
Win rate48.2%
Widest swing9.0 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Dural's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Half fence57.1%+9.00.18449 ·
Breakable full fence51.9%+3.70.56752 ·
Open51.7%+3.50.69329 ·
Rectangle51.0%+2.80.67449 ·
Fence and open50.0%+1.80.87518 ·
Single wall45.8%-2.40.73148 ·
Octagon44.6%-3.60.53565 ·
Low fence43.9%-4.30.48657 ·
Breakable half fence42.2%-6.00.40045 ·
Full fence41.7%-6.50.41636 ·
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

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

All ten shapes at once: chi-square 4.28 on 9 df, p 0.892

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence41.7%36-10.20.344-15.50.158-0.60.960-2.20.835-4.20.703-8.30.561-10.10.419-9.30.393-3.00.775
Breakable full fence+10.20.34451.9%52-5.20.599+9.70.340+8.10.400+6.10.543+1.90.888+0.20.986+0.90.928+7.30.432
Half fence+15.50.158+5.20.59957.1%49+14.90.148+13.30.173+11.30.265+7.10.602+5.40.642+6.10.543+12.50.185
Breakable half fence+0.60.960-9.70.340-14.90.14842.2%45-1.60.868-3.60.726-7.80.575-9.50.423-8.80.393-2.40.803
Low fence+2.20.835-8.10.400-13.30.173+1.60.86843.9%57-2.00.839-6.10.648-7.90.489-7.20.462-0.80.933
Single wall+4.20.703-6.10.543-11.30.265+3.60.726+2.00.83945.8%48-4.20.763-5.90.616-5.20.609+1.20.898
Fence and open+8.30.561-1.90.888-7.10.602+7.80.575+6.10.648+4.20.76350.0%18-1.70.908-1.00.941+5.40.685
Open+10.10.419-0.20.986-5.40.642+9.50.423+7.90.489+5.90.616+1.70.90851.7%29+0.70.952+7.10.523
Rectangle+9.30.393-0.90.928-6.10.543+8.80.393+7.20.462+5.20.609+1.00.941-0.70.95251.0%49+6.40.498
Octagon+3.00.775-7.30.432-12.50.185+2.40.803+0.80.933-1.20.898-5.40.685-7.10.523-6.40.49844.6%65
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 counted439
Win rate48.5%
Widest swing10.6 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Dural's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Half fence59.1%+10.60.13944 ·
Rectangle53.2%+4.70.49847 ·
Open51.7%+3.20.72129 ·
Breakable full fence51.0%+2.50.71049 ·
Fence and open50.0%+1.50.89818 ·
Single wall45.6%-2.90.68146 ·
Breakable half fence45.2%-3.30.65542 ·
Full fence43.8%-4.80.57532 ·
Octagon43.5%-5.00.39862 ·
Low fence40.4%-8.10.21152 ·
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

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

All ten shapes at once: chi-square 5.21 on 9 df, p 0.816

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence43.8%32-7.30.522-15.30.186-1.50.898+3.40.761-1.90.868-6.20.670-8.00.533-9.40.410+0.20.985
Breakable full fence+7.30.52251.0%49-8.10.435+5.80.582+10.60.283+5.40.601+1.00.941-0.70.952-2.20.831+7.50.433
Half fence+15.30.186+8.10.43559.1%44+13.80.199+18.70.068+13.40.202+9.10.512+7.40.535+5.90.571+15.50.115
Breakable half fence+1.50.898-5.80.582-13.80.19945.2%42+4.90.636-0.40.969-4.80.735-6.50.591-8.00.454+1.70.865
Low fence-3.40.761-10.60.283-18.70.068-4.90.63640.4%52-5.30.599-9.60.477-11.30.325-12.80.202-3.20.733
Single wall+1.90.868-5.40.601-13.40.202+0.40.969+5.30.59945.6%46-4.30.754-6.10.608-7.50.467+2.10.828
Fence and open+6.20.670-1.00.941-9.10.512+4.80.735+9.60.477+4.30.75450.0%18-1.70.908-3.20.818+6.50.628
Open+8.00.533+0.70.952-7.40.535+6.50.591+11.30.325+6.10.608+1.70.90851.7%29-1.50.901+8.20.466
Rectangle+9.40.410+2.20.831-5.90.571+8.00.454+12.80.202+7.50.467+3.20.818+1.50.90153.2%47+9.60.318
Octagon-0.20.985-7.50.433-15.50.115-1.70.865+3.20.733-2.10.828-6.50.628-8.20.466-9.60.31843.5%62
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 counted28
Win rate42.9%
Widest swing-42.9 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Dural's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Low fence80.0%+37.10.0645 ·
Breakable full fence66.7%+23.80.3783 ·
Octagon66.7%+23.80.3783 ·
Single wall50.0%+7.10.8322 ·
Half fence40.0%-2.90.8875 ·
Full fence25.0%-17.90.4364 ·
Breakable half fence0.0%-42.90.1123 ·
Rectangle0.0%-42.90.2042 ·
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

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

All ten shapes at once: chi-square 8.44 on 7 df, p 0.296

StageFullBreak. fullHalfBreak. halfLowWallRectOct
Full fence25.0%4-41.70.270-15.00.635+25.00.350-55.00.099-25.00.540+25.00.439-41.70.270
Breakable full fence+41.70.27066.7%3+26.70.465+66.70.083-13.30.673+16.70.709+66.70.136+0.01.000
Half fence+15.00.635-26.70.46540.0%5+40.00.206-40.00.197-10.00.809+40.00.290-26.70.465
Breakable half fence-25.00.350-66.70.083-40.00.2060.0%3-80.00.028-50.00.171+0.01.000-66.70.083
Low fence+55.00.099+13.30.673+40.00.197+80.00.02880.0%5+30.00.427+80.00.053+13.30.673
Single wall+25.00.540-16.70.709+10.00.809+50.00.171-30.00.42750.0%2+50.00.248-16.70.709
Rectangle-25.00.439-66.70.136-40.00.290-0.01.000-80.00.053-50.00.2480.0%2-66.70.136
Octagon+41.70.270-0.01.000+26.70.465+66.70.083-13.30.673+16.70.709+66.70.13666.7%3
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.