VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Lei Fei

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted1,958
Win rate52.3%
Widest swing-6.5 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
Rectangle57.6%+5.30.130184
Open57.1%+4.80.183177
Breakable full fence55.3%+3.00.361208
Octagon54.9%+2.60.442193
Low fence54.2%+1.90.579190
Fence and open53.3%+1.00.836107
Full fence50.0%-2.30.476214
Breakable half fence47.7%-4.60.203174
Half fence46.9%-5.40.113192
Single wall45.8%-6.50.051203
p < 0.05 on its ownStill there after correcting for how many were tested
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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 12.89 on 9 df, p 0.168

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence50.0%214-5.30.277+3.10.529+2.30.652-4.20.398+4.20.392-3.30.580-7.10.164-7.60.129-4.90.321
Breakable full fence+5.30.27755.3%208+8.40.093+7.60.139+1.10.829+9.50.055+2.00.733-1.80.727-2.30.644+0.40.941
Half fence-3.10.529-8.40.09346.9%192-0.80.874-7.30.152+1.10.832-6.40.289-10.20.050-10.70.037-8.00.114
Breakable half fence-2.30.652-7.60.139+0.80.87447.7%174-6.50.215+1.90.714-5.60.365-9.40.079-9.90.061-7.20.167
Low fence+4.20.398-1.10.829+7.30.152+6.50.21554.2%190+8.40.096+0.90.876-2.90.583-3.40.508-0.70.889
Single wall-4.20.392-9.50.055-1.10.832-1.90.714-8.40.09645.8%203-7.50.212-11.20.029-11.80.020-9.10.070
Fence and open+3.30.580-2.00.733+6.40.289+5.60.365-0.90.876+7.50.21253.3%107-3.80.533-4.30.472-1.60.783
Open+7.10.164+1.80.727+10.20.050+9.40.079+2.90.583+11.20.029+3.80.53357.1%177-0.60.916+2.10.679
Rectangle+7.60.129+2.30.644+10.70.037+9.90.061+3.40.508+11.80.020+4.30.472+0.60.91657.6%184+2.70.599
Octagon+4.90.321-0.40.941+8.00.114+7.20.167+0.70.889+9.10.070+1.60.783-2.10.679-2.70.59954.9%193
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 counted1,485
Win rate52.7%
Widest swing-7.0 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
Rectangle59.7%+7.00.105124
Breakable full fence58.0%+5.30.152162
Fence and open57.1%+4.40.40484
Open56.3%+3.60.384135
Low fence54.0%+1.20.760139
Full fence52.8%+0.00.993163
Octagon52.4%-0.30.929147
Breakable half fence47.0%-5.80.165132
Half fence46.0%-6.70.082150
Single wall45.7%-7.00.057162
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 13.36 on 9 df, p 0.147

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence52.8%163-5.30.340+6.80.232+5.80.323-1.20.835+7.10.202-4.40.513-3.50.542-6.90.243+0.40.947
Breakable full fence+5.30.34058.0%162+12.00.034+11.10.059+4.10.478+12.30.026+0.90.894+1.70.764-1.70.778+5.60.319
Half fence-6.80.232-12.00.03446.0%150-1.00.871-8.00.176+0.30.955-11.10.102-10.30.083-13.70.024-6.40.271
Breakable half fence-5.80.323-11.10.059+1.00.87147.0%132-7.00.250+1.30.825-10.20.145-9.30.127-12.70.042-5.40.367
Low fence+1.20.835-4.10.478+8.00.176+7.00.25054.0%139+8.30.152-3.20.643-2.30.697-5.70.350+1.60.790
Single wall-7.10.202-12.30.026-0.30.955-1.30.825-8.30.15245.7%162-11.50.088-10.60.068-14.00.019-6.70.239
Fence and open+4.40.513-0.90.894+11.10.102+10.20.145+3.20.643+11.50.08857.1%84+0.80.902-2.50.716+4.80.485
Open+3.50.542-1.70.764+10.30.083+9.30.127+2.30.697+10.60.068-0.80.90256.3%135-3.40.582+3.90.510
Rectangle+6.90.243+1.70.778+13.70.024+12.70.042+5.70.350+14.00.019+2.50.716+3.40.58259.7%124+7.30.228
Octagon-0.40.947-5.60.319+6.40.271+5.40.367-1.60.790+6.70.239-4.80.485-3.90.510-7.30.22852.4%147
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 counted473
Win rate51.0%
Widest swing12.1 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
Octagon63.0%+12.10.08446 ·
Open59.5%+8.60.24442 ·
Low fence54.9%+4.00.55051 ·
Rectangle53.3%+2.40.69360 ·
Breakable half fence50.0%-0.90.89742 ·
Half fence50.0%-0.90.89742 ·
Single wall46.3%-4.60.53741 ·
Breakable full fence45.6%-5.30.44946 ·
Full fence41.2%-9.80.13951 ·
Fence and open39.1%-11.80.24523 ·
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 8.51 on 9 df, p 0.483

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence41.2%51-4.50.657-8.80.395-8.80.395-13.70.165-5.20.619+2.00.868-18.30.078-12.20.201-21.90.031
Breakable full fence+4.50.65745.6%46-4.30.683-4.30.683-9.20.363-0.70.949+6.50.606-13.90.193-7.70.433-17.40.094
Half fence+8.80.395+4.30.68350.0%42+0.01.000-4.90.638+3.70.739+10.90.401-9.50.381-3.30.740-13.00.217
Breakable half fence+8.80.395+4.30.683-0.01.00050.0%42-4.90.638+3.70.739+10.90.401-9.50.381-3.30.740-13.00.217
Low fence+13.70.165+9.20.363+4.90.638+4.90.63854.9%51+8.60.414+15.80.209-4.60.654+1.60.869-8.10.416
Single wall+5.20.619+0.70.949-3.70.739-3.70.739-8.60.41446.3%41+7.20.577-13.20.229-7.00.490-16.70.118
Fence and open-2.00.868-6.50.606-10.90.401-10.90.401-15.80.209-7.20.57739.1%23-20.40.115-14.20.247-23.90.060
Open+18.30.078+13.90.193+9.50.381+9.50.381+4.60.654+13.20.229+20.40.11559.5%42+6.20.535-3.50.735
Rectangle+12.20.201+7.70.433+3.30.740+3.30.740-1.60.869+7.00.490+14.20.247-6.20.53553.3%60-9.70.316
Octagon+21.90.031+17.40.094+13.00.217+13.00.217+8.10.416+16.70.118+23.90.060+3.50.735+9.70.31663.0%46
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.