VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Taka

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Matches counted913
Win rate49.3%
Widest swing-8.0 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
Full fence56.0%+6.70.20084
Rectangle54.6%+5.30.26597
Open54.2%+4.90.34683
Fence and open52.4%+3.10.68142 ·
Breakable half fence51.0%+1.70.71798
Low fence49.5%+0.30.953111
Single wall49.5%+0.20.96797
Breakable full fence44.8%-4.50.38287
Octagon44.1%-5.20.29093
Half fence41.3%-8.00.15075 ·
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 7.23 on 9 df, p 0.613

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence56.0%84+11.10.146+14.60.066+4.90.506+6.40.375+6.50.385+3.60.704+1.70.822+1.30.859+11.90.115
Breakable full fence-11.10.14644.8%87+3.50.654-6.20.400-4.70.509-4.70.528-7.50.421-9.40.221-9.80.184+0.70.920
Half fence-14.60.066-3.50.65441.3%75-9.70.206-8.20.270-8.20.287-11.10.249-12.90.106-13.30.083-2.80.720
Breakable half fence-4.90.506+6.20.400+9.70.20651.0%98+1.50.832+1.50.830-1.40.883-3.20.668-3.60.613+6.90.338
Low fence-6.40.375+4.70.509+8.20.270-1.50.83249.5%111+0.10.993-2.80.755-4.70.520-5.10.464+5.50.436
Single wall-6.50.385+4.70.528+8.20.287-1.50.830-0.10.99349.5%97-2.90.754-4.70.527-5.20.472+5.40.456
Fence and open-3.60.704+7.50.421+11.10.249+1.40.883+2.80.755+2.90.75452.4%42-1.80.846-2.30.806+8.30.371
Open-1.70.822+9.40.221+12.90.106+3.20.668+4.70.520+4.70.527+1.80.84654.2%83-0.40.955+10.10.180
Rectangle-1.30.859+9.80.184+13.30.083+3.60.613+5.10.464+5.20.472+2.30.806+0.40.95554.6%97+10.60.146
Octagon-11.90.115-0.70.920+2.80.720-6.90.338-5.50.436-5.40.456-8.30.371-10.10.180-10.60.14644.1%93
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.
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Matches counted664
Win rate48.2%
Widest swing-10.3 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
Fence and open58.3%+10.10.21136 ·
Open56.2%+8.10.24648 ·
Full fence53.9%+5.70.33765 ·
Breakable half fence51.4%+3.20.56474 ·
Rectangle50.7%+2.50.65471 ·
Octagon47.5%-0.70.91561 ·
Breakable full fence46.8%-1.40.81462 ·
Single wall46.1%-2.00.70178 ·
Low fence41.0%-7.20.17878 ·
Half fence37.9%-10.30.10258 ·
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 8.27 on 9 df, p 0.507

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence53.9%65+7.10.426+15.90.077+2.50.769+12.80.126+7.70.360-4.50.664-2.40.800+3.10.714+6.30.479
Breakable full fence-7.10.42646.8%62+8.80.327-4.60.595+5.70.496+0.60.942-11.60.270-9.50.324-3.90.651-0.80.932
Half fence-15.90.077-8.80.32737.9%58-13.40.124-3.10.715-8.20.338-20.40.054-18.30.060-12.80.147-9.60.290
Breakable half fence-2.50.769+4.60.595+13.40.12451.4%74+10.30.202+5.20.522-7.00.491-4.90.596+0.70.938+3.80.659
Low fence-12.80.126-5.70.496+3.10.715-10.30.20241.0%78-5.10.518-17.30.085-15.20.096-9.70.236-6.50.442
Single wall-7.70.360-0.60.942+8.20.338-5.20.522+5.10.51846.1%78-12.20.227-10.10.271-4.50.579-1.40.871
Fence and open+4.50.664+11.60.270+20.40.054+7.00.491+17.30.085+12.20.22758.3%36+2.10.849+7.60.455+10.80.304
Open+2.40.800+9.50.324+18.30.060+4.90.596+15.20.096+10.10.271-2.10.84956.2%48+5.50.552+8.70.366
Rectangle-3.10.714+3.90.651+12.80.147-0.70.938+9.70.236+4.50.579-7.60.455-5.50.55250.7%71+3.20.717
Octagon-6.30.479+0.80.932+9.60.290-3.80.659+6.50.442+1.40.871-10.80.304-8.70.366-3.20.71747.5%61
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 counted249
Win rate52.2%
Widest swing-35.5 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
Low fence69.7%+17.50.03133 ·
Rectangle65.4%+13.20.15526 ·
Full fence63.2%+10.90.32019 ·
Single wall63.2%+10.90.32019 ·
Half fence52.9%+0.70.95017 ·
Open51.4%-0.80.92135 ·
Breakable half fence50.0%-2.20.82024 ·
Breakable full fence40.0%-12.20.19825 ·
Octagon37.5%-14.70.07432 ·
Fence and open16.7%-35.50.0786 ·
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 14.95 on 9 df, p 0.092

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence63.2%19+23.20.128+10.20.535+13.20.388-6.50.628+0.01.000+46.50.047+11.70.407-2.20.878+25.70.076
Breakable full fence-23.20.12840.0%25-12.90.408-10.00.482-29.70.024-23.20.128+23.30.283-11.40.382-25.40.069+2.50.847
Half fence-10.20.535+12.90.40852.9%17+2.90.853-16.80.242-10.20.535+36.30.123+1.50.918-12.40.415+15.40.299
Breakable half fence-13.20.388+10.00.482-2.90.85350.0%24-19.70.132-13.20.388+33.30.141-1.40.914-15.40.271+12.50.350
Low fence+6.50.628+29.70.024+16.80.242+19.70.13269.7%33+6.50.628+53.00.014+18.30.124+4.30.725+32.20.009
Single wall-0.01.000+23.20.128+10.20.535+13.20.388-6.50.62863.2%19+46.50.047+11.70.407-2.20.878+25.70.076
Fence and open-46.50.047-23.30.283-36.30.123-33.30.141-53.00.014-46.50.04716.7%6-34.80.115-48.70.030-20.80.324
Open-11.70.407+11.40.382-1.50.918+1.40.914-18.30.124-11.70.407+34.80.11551.4%35-13.90.276+13.90.252
Rectangle+2.20.878+25.40.069+12.40.415+15.40.271-4.30.725+2.20.878+48.70.030+13.90.27665.4%26+27.90.035
Octagon-25.70.076-2.50.847-15.40.299-12.50.350-32.20.009-25.70.076+20.80.324-13.90.252-27.90.03537.5%32
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.