VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Shun

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted2,809
Win rate51.7%
Widest swing4.9 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
Full fence56.5%+4.90.078290
Fence and open55.6%+4.00.346133
Single wall54.7%+3.00.309256
Breakable half fence53.4%+1.70.542281
Breakable full fence53.3%+1.60.554287
Rectangle51.4%-0.30.921257
Open51.0%-0.60.818294
Octagon49.3%-2.40.399290
Half fence48.0%-3.70.180298
Low fence47.7%-4.00.161281
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 9.25 on 9 df, p 0.414

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence56.5%290+3.20.434+8.60.038+3.20.446+8.90.034+1.90.662+0.90.861+5.50.180+5.20.224+7.20.081
Breakable full fence-3.20.43453.3%287+5.30.198-0.10.987+5.60.180-1.40.748-2.30.656+2.30.581+1.90.650+4.00.337
Half fence-8.60.038-5.30.19848.0%298-5.40.194+0.30.942-6.70.116-7.70.142-3.00.460-3.40.428-1.30.748
Breakable half fence-3.20.446+0.10.987+5.40.19453.4%281+5.70.177-1.30.762-2.30.667+2.40.571+2.00.640+4.10.331
Low fence-8.90.034-5.60.180-0.30.942-5.70.17747.7%281-7.00.105-8.00.131-3.30.424-3.70.394-1.60.698
Single wall-1.90.662+1.40.748+6.70.116+1.30.762+7.00.10554.7%256-0.90.858+3.70.390+3.30.450+5.40.210
Fence and open-0.90.861+2.30.656+7.70.142+2.30.667+8.00.131+0.90.85855.6%133+4.60.376+4.30.422+6.30.227
Open-5.50.180-2.30.581+3.00.460-2.40.571+3.30.424-3.70.390-4.60.37651.0%294-0.30.936+1.70.679
Rectangle-5.20.224-1.90.650+3.40.428-2.00.640+3.70.394-3.30.450-4.30.422+0.30.93651.4%257+2.00.632
Octagon-7.20.081-4.00.337+1.30.748-4.10.331+1.60.698-5.40.210-6.30.227-1.70.679-2.00.63249.3%290
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 counted2,139
Win rate50.8%
Widest swing5.3 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
Full fence56.1%+5.30.088230
Rectangle52.5%+1.70.630181
Breakable half fence52.4%+1.60.626212
Open52.2%+1.40.652230
Breakable full fence51.7%+0.90.766238
Fence and open51.1%+0.40.94488
Single wall51.0%+0.30.940194
Octagon48.0%-2.80.378221
Half fence47.6%-3.20.309229
Low fence46.7%-4.00.212214
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 6.30 on 9 df, p 0.710

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence56.1%230+4.40.339+8.50.069+3.70.432+9.40.049+5.10.298+5.00.428+3.90.400+3.60.467+8.10.084
Breakable full fence-4.40.33951.7%238+4.10.378-0.70.886+5.00.293+0.70.893+0.50.930-0.50.915-0.80.870+3.70.426
Half fence-8.50.069-4.10.37847.6%229-4.80.318+0.90.855-3.40.482-3.50.572-4.60.327-4.90.326-0.40.938
Breakable half fence-3.70.432+0.70.886+4.80.31852.4%212+5.60.245+1.30.789+1.20.847+0.20.969-0.10.980+4.40.361
Low fence-9.40.049-5.00.293-0.90.855-5.60.24546.7%214-4.30.385-4.40.486-5.40.252-5.80.254-1.20.797
Single wall-5.10.298-0.70.893+3.40.482-1.30.789+4.30.38551.0%194-0.10.987-1.10.814-1.50.778+3.10.533
Fence and open-5.00.428-0.50.930+3.50.572-1.20.847+4.40.486+0.10.98751.1%88-1.00.868-1.40.835+3.20.615
Open-3.90.400+0.50.915+4.60.327-0.20.969+5.40.252+1.10.814+1.00.86852.2%230-0.30.950+4.20.371
Rectangle-3.60.467+0.80.870+4.90.326+0.10.980+5.80.254+1.50.778+1.40.835+0.30.95052.5%181+4.50.367
Octagon-8.10.084-3.70.426+0.40.938-4.40.361+1.20.797-3.10.533-3.20.615-4.20.371-4.50.36748.0%221
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 counted670
Win rate54.5%
Widest swing11.7 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
Single wall66.1%+11.70.05362 ·
Fence and open64.4%+10.00.16545 ·
Breakable full fence61.2%+6.70.32549 ·
Full fence58.3%+3.90.53060 ·
Breakable half fence56.5%+2.00.71969 ·
Octagon53.6%-0.90.88069 ·
Low fence50.8%-3.70.51867 ·
Half fence49.3%-5.20.36069 ·
Rectangle48.7%-5.80.28176 ·
Open46.9%-7.60.19964 ·
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 10.21 on 9 df, p 0.334

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence58.3%60-2.90.760+9.10.304+1.80.836+7.60.391-7.80.374-6.10.525+11.40.202+9.70.263+4.70.591
Breakable full fence+2.90.76061.2%49+11.90.199+4.70.609+10.50.262-4.90.593-3.20.747+14.30.130+12.50.170+7.60.411
Half fence-9.10.304-11.90.19949.3%69-7.20.394-1.50.864-16.90.052-15.20.111+2.40.782+0.60.943-4.30.609
Breakable half fence-1.80.836-4.70.609+7.20.39456.5%69+5.80.499-9.60.260-7.90.399+9.60.266+7.80.345+2.90.732
Low fence-7.60.391-10.50.262+1.50.864-5.80.49950.8%67-15.40.077-13.70.152+3.90.658+2.10.806-2.90.737
Single wall+7.80.374+4.90.593+16.90.052+9.60.260+15.40.07766.1%62+1.70.856+19.20.029+17.40.040+12.50.145
Fence and open+6.10.525+3.20.747+15.20.111+7.90.399+13.70.152-1.70.85664.4%45+17.60.070+15.80.092+10.80.253
Open-11.40.202-14.30.130-2.40.782-9.60.266-3.90.658-19.20.029-17.60.07046.9%64-1.80.831-6.70.437
Rectangle-9.70.263-12.50.170-0.60.943-7.80.345-2.10.806-17.40.040-15.80.092+1.80.83148.7%76-4.90.552
Octagon-4.70.591-7.60.411+4.30.609-2.90.732+2.90.737-12.50.145-10.80.253+6.70.437+4.90.55253.6%69
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.