VirtuAnalytics

Novel Insights Through Data & Analysis

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

Lau vs Wolf

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Matches counted2,679
Win rate52.3%
Widest swing-10.4 pts
Survive correction1
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Octagon56.8%+4.50.121266
Breakable full fence55.2%+2.90.340241
Open54.1%+1.90.518266
Rectangle53.9%+1.70.583241
Breakable half fence53.9%+1.60.579256
Full fence53.8%+1.60.565301
Single wall52.8%+0.60.849267
Fence and open51.6%-0.70.872128
Half fence48.2%-4.10.153274
Low fence41.8%-10.4<0.001287
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 18.64 on 9 df, p 0.029

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence53.8%301-1.40.751+5.60.176-0.10.984+12.00.004+1.00.809+2.30.668-0.30.940-0.10.978-3.00.481
Breakable full fence+1.40.75155.2%241+7.00.112+1.30.774+13.40.002+2.40.591+3.60.506+1.10.812+1.20.784-1.60.720
Half fence-5.60.176-7.00.11248.2%274-5.70.187+6.40.130-4.60.281-3.40.527-6.00.166-5.80.191-8.60.046
Breakable half fence+0.10.984-1.30.774+5.70.18753.9%256+12.10.005+1.10.801+2.40.664-0.20.958-0.00.994-2.90.511
Low fence-12.00.004-13.40.002-6.40.130-12.10.00541.8%287-11.00.010-9.80.065-12.30.004-12.10.005-15.0<0.001
Single wall-1.00.809-2.40.591+4.60.281-1.10.801+11.00.01052.8%267+1.20.816-1.30.759-1.10.798-4.00.359
Fence and open-2.30.668-3.60.506+3.40.527-2.40.664+9.80.065-1.20.81651.6%128-2.60.632-2.40.663-5.20.331
Open+0.30.940-1.10.812+6.00.166+0.20.958+12.30.004+1.30.759+2.60.63254.1%266+0.20.965-2.60.541
Rectangle+0.10.978-1.20.784+5.80.191+0.00.994+12.10.005+1.10.798+2.40.663-0.20.96553.9%241-2.80.523
Octagon+3.00.481+1.60.720+8.60.046+2.90.511+15.0<0.001+4.00.359+5.20.331+2.60.541+2.80.52356.8%266
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 counted2,322
Win rate52.4%
Widest swing-10.0 pts
Survive correction1
Period2026/03/26 – 2026/09/23

Where it was fought

Lau's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Octagon56.1%+3.70.242221
Breakable half fence55.3%+2.90.357228
Full fence54.8%+2.40.406261
Rectangle54.0%+1.60.629200
Single wall53.8%+1.40.651240
Fence and open53.5%+1.10.803114
Open53.0%+0.70.835232
Breakable full fence53.0%+0.60.852219
Half fence47.5%-4.90.129219
Low fence42.4%-10.0<0.001255
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 15.45 on 9 df, p 0.079

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence54.8%261+1.80.690+7.30.111-0.50.916+12.40.005+1.00.816+1.30.819+1.80.694+0.80.866-1.30.772
Breakable full fence-1.80.69053.0%219+5.50.251-2.30.626+10.60.021-0.80.867-0.50.925-0.10.992-1.00.832-3.10.508
Half fence-7.30.111-5.50.25147.5%219-7.80.100+5.10.262-6.30.180-6.00.297-5.50.241-6.50.183-8.60.070
Breakable half fence+0.50.916+2.30.626+7.80.10055.3%228+12.90.005+1.50.742+1.80.759+2.20.629+1.30.793-0.80.857
Low fence-12.40.005-10.60.021-5.10.262-12.90.00542.4%255-11.40.011-11.20.047-10.70.019-11.70.014-13.80.003
Single wall-1.00.816+0.80.867+6.30.180-1.50.742+11.40.01153.8%240+0.20.966+0.70.873-0.20.958-2.40.611
Fence and open-1.30.819+0.50.925+6.00.297-1.80.759+11.20.047-0.20.96653.5%114+0.50.931-0.50.933-2.60.650
Open-1.80.694+0.10.992+5.50.241-2.20.629+10.70.019-0.70.873-0.50.93153.0%232-1.00.838-3.10.509
Rectangle-0.80.866+1.00.832+6.50.183-1.30.793+11.70.014+0.20.958+0.50.933+1.00.83854.0%200-2.10.664
Octagon+1.30.772+3.10.508+8.60.070+0.80.857+13.80.003+2.40.611+2.60.650+3.10.509+2.10.66456.1%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 counted357
Win rate51.5%
Widest swing25.7 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 full fence77.3%+25.70.01322 ·
Open61.8%+10.20.21034 ·
Octagon60.0%+8.50.22545 ·
Rectangle53.7%+2.10.77341 ·
Half fence50.9%-0.60.91955 ·
Full fence47.5%-4.00.58740 ·
Single wall44.4%-7.10.44327 ·
Breakable half fence42.9%-8.70.33828 ·
Low fence37.5%-14.00.09632 ·
Fence and open35.7%-15.80.22714 ·
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 14.21 on 9 df, p 0.115

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence47.5%40-29.80.023-3.40.743+4.60.705+10.00.394+3.10.806+11.80.445-14.30.220-6.20.579-12.50.248
Breakable full fence+29.80.02377.3%22+26.40.034+34.40.014+39.80.004+32.80.020+41.60.013+15.50.225+23.60.066+17.30.162
Half fence+3.40.743-26.40.03450.9%55+8.10.488+13.40.226+6.50.582+15.20.310-10.80.317-2.80.790-9.10.363
Breakable half fence-4.60.705-34.40.014-8.10.48842.9%28+5.40.673-1.60.906+7.20.657-18.90.138-10.80.378-17.10.153
Low fence-10.00.394-39.80.004-13.40.226-5.40.67337.5%32-6.90.589+1.80.908-24.30.049-16.20.170-22.50.052
Single wall-3.10.806-32.80.020-6.50.582+1.60.906+6.90.58944.4%27+8.70.591-17.30.178-9.20.457-15.60.200
Fence and open-11.80.445-41.60.013-15.20.310-7.20.657-1.80.908-8.70.59135.7%14-26.10.100-17.90.246-24.30.111
Open+14.30.220-15.50.225+10.80.317+18.90.138+24.30.049+17.30.178+26.10.10061.8%34+8.10.480+1.80.874
Rectangle+6.20.579-23.60.066+2.80.790+10.80.378+16.20.170+9.20.457+17.90.246-8.10.48053.7%41-6.30.553
Octagon+12.50.248-17.30.162+9.10.363+17.10.153+22.50.052+15.60.200+24.30.111-1.80.874+6.30.55360.0%45
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.