VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Vanessa

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Matches counted1,858
Win rate54.3%
Widest swing-8.3 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Breakable full fence57.8%+3.50.309185
Breakable half fence57.2%+2.90.372208
Octagon56.5%+2.20.510200
Low fence55.7%+1.40.657219
Open54.9%+0.60.877153
Full fence54.5%+0.20.946176
Single wall54.5%+0.20.960167
Fence and open51.4%-2.90.535107
Half fence50.0%-4.30.228176
Rectangle46.0%-8.30.016187
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

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

All ten shapes at once: chi-square 9.06 on 9 df, p 0.431

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence54.5%176-3.30.529+4.50.393-2.70.600-1.20.817+0.10.992+3.10.607-0.30.948+8.60.103-1.90.703
Breakable full fence+3.30.52957.8%185+7.80.135+0.60.900+2.10.667+3.40.527+6.40.286+2.90.588+11.80.022+1.30.791
Half fence-4.50.393-7.80.13550.0%176-7.20.158-5.70.259-4.50.405-1.40.819-4.90.375+4.00.445-6.50.207
Breakable half fence+2.70.600-0.60.900+7.20.15857.2%208+1.50.754+2.70.598+5.80.326+2.30.662+11.20.026+0.70.885
Low fence+1.20.817-2.10.667+5.70.259-1.50.75455.7%219+1.20.812+4.30.464+0.80.878+9.70.051-0.80.870
Single wall-0.10.992-3.40.527+4.50.405-2.70.598-1.20.81254.5%167+3.10.617-0.40.941+8.50.110-2.00.700
Fence and open-3.10.607-6.40.286+1.40.819-5.80.326-4.30.464-3.10.61751.4%107-3.50.578+5.40.371-5.10.392
Open+0.30.948-2.90.588+4.90.375-2.30.662-0.80.878+0.40.941+3.50.57854.9%153+8.90.102-1.60.764
Rectangle-8.60.103-11.80.022-4.00.445-11.20.026-9.70.051-8.50.110-5.40.371-8.90.10246.0%187-10.50.039
Octagon+1.90.703-1.30.791+6.50.207-0.70.885+0.80.870+2.00.700+5.10.392+1.60.764+10.50.03956.5%200
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 counted1,337
Win rate53.1%
Widest swing-8.7 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Breakable half fence60.6%+7.50.060142
Breakable full fence55.2%+2.10.604134
Full fence55.2%+2.10.640116
Octagon54.9%+1.80.655144
Open54.2%+1.10.796118
Low fence52.4%-0.70.841168
Single wall51.6%-1.50.727124
Fence and open50.6%-2.50.65777 ·
Half fence46.4%-6.70.094138
Rectangle44.4%-8.70.041126
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

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

All ten shapes at once: chi-square 10.38 on 9 df, p 0.320

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence55.2%116-0.10.993+8.80.163-5.40.383+2.80.643+3.60.581+4.50.537+0.90.886+10.70.095+0.30.960
Breakable full fence+0.10.99355.2%134+8.80.145-5.30.369+2.80.623+3.60.561+4.60.521+1.00.875+10.80.082+0.40.952
Half fence-8.80.163-8.80.14546.4%138-14.20.017-6.00.296-5.20.397-4.30.548-7.90.210+1.90.753-8.50.154
Breakable half fence+5.40.383+5.30.369+14.20.01760.6%142+8.20.148+8.90.142+9.90.157+6.30.304+16.10.008+5.70.329
Low fence-2.80.643-2.80.623+6.00.296-8.20.14852.4%168+0.80.897+1.70.801-1.90.757+7.90.178-2.50.661
Single wall-3.60.581-3.60.561+5.20.397-8.90.142-0.80.89751.6%124+1.00.894-2.60.683+7.20.257-3.20.595
Fence and open-4.50.537-4.60.521+4.30.548-9.90.157-1.70.801-1.00.89450.6%77-3.60.624+6.20.390-4.20.550
Open-0.90.886-1.00.875+7.90.210-6.30.304+1.90.757+2.60.683+3.60.62454.2%118+9.80.126-0.60.920
Rectangle-10.70.095-10.80.082-1.90.753-16.10.008-7.90.178-7.20.257-6.20.390-9.80.12644.4%126-10.40.088
Octagon-0.30.960-0.40.952+8.50.154-5.70.329+2.50.661+3.20.595+4.20.550+0.60.920+10.40.08854.9%144
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 counted521
Win rate57.4%
Widest swing9.3 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Low fence66.7%+9.30.15851 ·
Breakable full fence64.7%+7.30.26651 ·
Half fence63.2%+5.80.45538 ·
Single wall62.8%+5.40.45543 ·
Octagon60.7%+3.30.59456 ·
Open57.1%-0.20.97635 ·
Full fence53.3%-4.10.49960 ·
Fence and open53.3%-4.10.64430 ·
Breakable half fence50.0%-7.40.19466 ·
Rectangle49.2%-8.20.16861 ·
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

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

All ten shapes at once: chi-square 7.96 on 9 df, p 0.539

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence53.3%60-11.40.225-9.80.338+3.30.708-13.30.154-9.50.339+0.01.000-3.80.719+4.20.648-7.40.422
Breakable full fence+11.40.22564.7%51+1.60.880+14.70.112-2.00.835+1.90.847+11.40.312+7.60.479+15.50.099+4.00.670
Half fence+9.80.338-1.60.88063.2%38+13.20.194-3.50.731+0.40.973+9.80.414+6.00.600+14.00.174+2.50.811
Breakable half fence-3.30.708-14.70.112-13.20.19450.0%66-16.70.071-12.80.190-3.30.762-7.10.494+0.80.926-10.70.236
Low fence+13.30.154+2.00.835+3.50.731+16.70.07166.7%51+3.90.695+13.30.233+9.50.369+17.50.063+6.00.523
Single wall+9.50.339-1.90.847-0.40.973+12.80.190-3.90.69562.8%43+9.50.419+5.70.612+13.60.170+2.10.833
Fence and open-0.01.000-11.40.312-9.80.414+3.30.762-13.30.233-9.50.41953.3%30-3.80.758+4.20.710-7.40.508
Open+3.80.719-7.60.479-6.00.600+7.10.494-9.50.369-5.70.612+3.80.75857.1%35+8.00.452-3.60.736
Rectangle-4.20.648-15.50.099-14.00.174-0.80.926-17.50.063-13.60.170-4.20.710-8.00.45249.2%61-11.50.211
Octagon+7.40.422-4.00.670-2.50.811+10.70.236-6.00.523-2.10.833+7.40.508+3.60.736+11.50.21160.7%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.