VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Lion

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Matches counted3,017
Win rate51.3%
Widest swing7.0 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
Fence and open58.4%+7.00.091137
Breakable half fence54.8%+3.40.247263
Full fence53.6%+2.20.409308
Octagon52.8%+1.50.601284
Half fence52.3%+1.00.712325
Single wall52.0%+0.70.798292
Low fence51.0%-0.30.897345
Rectangle50.6%-0.70.797308
Breakable full fence46.7%-4.60.059366
Open45.3%-6.00.044256
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 11.92 on 9 df, p 0.218

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence53.6%308+6.80.076+1.30.750-1.20.778+2.60.514+1.50.710-4.80.345+8.30.051+2.90.468+0.80.854
Breakable full fence-6.80.07646.7%366-5.60.143-8.00.047-4.30.252-5.30.174-11.70.020+1.40.729-3.90.309-6.10.123
Half fence-1.30.750+5.60.14352.3%325-2.40.555+1.30.738+0.30.950-6.10.230+7.00.094+1.70.676-0.50.900
Breakable half fence+1.20.778+8.00.047+2.40.55554.8%263+3.70.360+2.70.525-3.60.486+9.40.032+4.10.328+1.90.650
Low fence-2.60.514+4.30.252-1.30.738-3.70.36051.0%345-1.00.794-7.40.143+5.70.167+0.40.926-1.80.653
Single wall-1.50.710+5.30.174-0.30.950-2.70.525+1.00.79452.0%292-6.30.219+6.70.115+1.40.731-0.80.855
Fence and open+4.80.345+11.70.020+6.10.230+3.60.486+7.40.143+6.30.21958.4%137+13.10.013+7.70.131+5.60.281
Open-8.30.051-1.40.729-7.00.094-9.40.032-5.70.167-6.70.115-13.10.01345.3%256-5.30.207-7.50.082
Rectangle-2.90.468+3.90.309-1.70.676-4.10.328-0.40.926-1.40.731-7.70.131+5.30.20750.6%308-2.20.598
Octagon-0.80.854+6.10.123+0.50.900-1.90.650+1.80.653+0.80.855-5.60.281+7.50.082+2.20.59852.8%284
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 counted2,008
Win rate49.6%
Widest swing9.0 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
Fence and open58.6%+9.00.08787
Breakable half fence54.6%+5.00.170172
Full fence52.9%+3.30.301223
Low fence52.6%+3.00.340230
Rectangle51.0%+1.30.690208
Octagon47.8%-1.90.601182
Open47.2%-2.40.521163
Half fence46.5%-3.20.325211
Single wall46.3%-3.30.334190
Breakable full fence43.6%-6.10.037257
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 12.53 on 9 df, p 0.185

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence52.9%223+9.30.041+6.50.178-1.70.731+0.30.948+6.60.181-5.70.365+5.70.271+1.90.685+5.10.306
Breakable full fence-9.30.04143.6%257-2.90.535-11.10.024-9.00.046-2.70.565-15.00.015-3.70.463-7.40.113-4.20.381
Half fence-6.50.178+2.90.53546.5%211-8.20.110-6.20.196+0.10.979-12.20.056-0.80.879-4.50.355-1.40.788
Breakable half fence+1.70.731+11.10.024+8.20.11054.6%172+2.00.685+8.30.113-4.00.543+7.40.175+3.70.473+6.80.198
Low fence-0.30.948+9.00.046+6.20.196-2.00.68552.6%230+6.30.199-6.00.338+5.40.294+1.60.730+4.80.333
Single wall-6.60.181+2.70.565-0.10.979-8.30.113-6.30.19946.3%190-12.30.057-0.90.862-4.60.354-1.50.774
Fence and open+5.70.365+15.00.015+12.20.056+4.00.543+6.00.338+12.30.05758.6%87+11.40.086+7.70.229+10.80.097
Open-5.70.271+3.70.463+0.80.879-7.40.175-5.40.294+0.90.862-11.40.08647.2%163-3.70.477-0.60.917
Rectangle-1.90.685+7.40.113+4.50.355-3.70.473-1.60.730+4.60.354-7.70.229+3.70.47751.0%208+3.20.534
Octagon-5.10.306+4.20.381+1.40.788-6.80.198-4.80.333+1.50.774-10.80.097+0.60.917-3.20.53447.8%182
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 counted1,009
Win rate54.7%
Widest swing-12.8 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
Half fence63.2%+8.40.054114
Single wall62.8%+8.00.085102
Octagon61.8%+7.00.131102
Fence and open58.0%+3.30.63150 ·
Full fence55.3%+0.60.91085
Breakable half fence55.0%+0.20.96291
Breakable full fence54.1%-0.60.898109
Rectangle50.0%-4.70.319100
Low fence47.8%-6.90.115115
Open41.9%-12.80.00993
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 17.45 on 9 df, p 0.042

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence55.3%85+1.20.871-7.90.263+0.30.963+7.50.296-7.50.302-2.70.760+13.30.075+5.30.472-6.50.371
Breakable full fence-1.20.87154.1%109-9.00.171-0.80.908+6.30.346-8.60.205-3.90.648+12.20.084+4.10.551-7.60.262
Half fence+7.90.263+9.00.17163.2%114+8.20.234+15.30.020+0.40.950+5.20.532+21.20.002+13.20.052+1.40.833
Breakable half fence-0.30.963+0.80.908-8.20.23455.0%91+7.10.310-7.80.271-3.00.727+13.00.077+5.00.494-6.80.337
Low fence-7.50.296-6.30.346-15.30.020-7.10.31047.8%115-14.90.028-10.20.230+5.90.396-2.20.750-13.90.040
Single wall+7.50.302+8.60.205-0.40.950+7.80.271+14.90.02862.8%102+4.80.573+20.80.004+12.80.068+1.00.885
Fence and open+2.70.760+3.90.648-5.20.532+3.00.727+10.20.230-4.80.57358.0%50+16.10.067+8.00.355-3.80.655
Open-13.30.075-12.20.084-21.20.002-13.00.077-5.90.396-20.80.004-16.10.06741.9%93-8.10.261-19.80.006
Rectangle-5.30.472-4.10.551-13.20.052-5.00.494+2.20.750-12.80.068-8.00.355+8.10.26150.0%100-11.80.092
Octagon+6.50.371+7.60.262-1.40.833+6.80.337+13.90.040-1.00.885+3.80.655+19.80.006+11.80.09261.8%102
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.