VirtuAnalytics

Novel Insights Through Data & Analysis

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

Kage vs Lei Fei

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted1,990
Win rate51.8%
Widest swing8.1 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Kage's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Breakable full fence59.9%+8.10.032162
Low fence55.6%+3.80.279189
Half fence55.0%+3.20.352189
Full fence54.7%+2.90.362225
Fence and open52.7%+0.90.843110
Octagon51.3%-0.50.873197
Breakable half fence49.5%-2.30.476220
Open49.0%-2.80.397210
Single wall46.8%-5.00.150190
Rectangle46.1%-5.70.096193
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

Kage's win rate on the row's stage, minus the same on the column's

All ten shapes at once: chi-square 12.34 on 9 df, p 0.195

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence54.7%225-5.20.307-0.40.942+5.10.280-0.90.856+7.80.112+1.90.738+5.60.241+8.60.081+3.40.485
Breakable full fence+5.20.30759.9%162+4.80.360+10.30.045+4.30.414+13.00.015+7.20.242+10.80.038+13.80.010+8.60.103
Half fence+0.40.942-4.80.36055.0%189+5.50.269-0.50.918+8.20.111+2.30.700+6.00.233+8.90.082+3.80.460
Breakable half fence-5.10.280-10.30.045-5.50.26949.5%220-6.00.225+2.70.585-3.20.586+0.50.918+3.40.486-1.70.725
Low fence+0.90.856-4.30.414+0.50.918+6.00.22555.6%189+8.70.090+2.80.636+6.50.194+9.40.065+4.30.399
Single wall-7.80.112-13.00.015-8.20.111-2.70.585-8.70.09046.8%190-5.90.326-2.20.659+0.70.886-4.40.384
Fence and open-1.90.738-7.20.242-2.30.700+3.20.586-2.80.636+5.90.32652.7%110+3.70.532+6.60.268+1.50.806
Open-5.60.241-10.80.038-6.00.233-0.50.918-6.50.194+2.20.659-3.70.53249.0%210+2.90.556-2.20.654
Rectangle-8.60.081-13.80.010-8.90.082-3.40.486-9.40.065-0.70.886-6.60.268-2.90.55646.1%193-5.20.309
Octagon-3.40.485-8.60.103-3.80.460+1.70.725-4.30.399+4.40.384-1.50.806+2.20.654+5.20.30951.3%197
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 counted1,566
Win rate53.1%
Widest swing8.0 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Kage's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Breakable full fence61.1%+8.00.059126
Full fence57.1%+4.10.231189
Low fence56.6%+3.50.361152
Half fence54.7%+1.60.690139
Octagon53.5%+0.40.908157
Fence and open52.4%-0.60.90782
Single wall52.2%-0.90.826138
Open49.3%-3.70.333152
Breakable half fence49.2%-3.90.264181
Rectangle47.8%-5.30.161157
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

Kage's win rate on the row's stage, minus the same on the column's

All ten shapes at once: chi-square 9.19 on 9 df, p 0.420

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence57.1%189-4.00.483+2.50.656+8.00.124+0.60.917+5.00.372+4.70.474+7.80.151+9.40.082+3.60.498
Breakable full fence+4.00.48361.1%126+6.40.290+11.90.039+4.50.445+8.90.144+8.70.216+11.80.050+13.30.025+7.60.199
Half fence-2.50.656-6.40.29054.7%139+5.50.329-1.90.744+2.50.676+2.20.747+5.30.363+6.90.236+1.20.840
Breakable half fence-8.00.124-11.90.039-5.50.32949.2%181-7.40.178-3.00.595-3.30.623-0.20.975+1.40.797-4.30.427
Low fence-0.60.917-4.50.445+1.90.744+7.40.17856.6%152+4.40.452+4.10.544+7.20.206+8.80.121+3.10.587
Single wall-5.00.372-8.90.144-2.50.676+3.00.595-4.40.45252.2%138-0.30.970+2.80.630+4.40.450-1.30.819
Fence and open-4.70.474-8.70.216-2.20.747+3.30.623-4.10.544+0.30.97052.4%82+3.10.651+4.70.493-1.10.876
Open-7.80.151-11.80.050-5.30.363+0.20.975-7.20.206-2.80.630-3.10.65149.3%152+1.60.782-4.20.464
Rectangle-9.40.082-13.30.025-6.90.236-1.40.797-8.80.121-4.40.450-4.70.493-1.60.78247.8%157-5.70.310
Octagon-3.60.498-7.60.199-1.20.840+4.30.427-3.10.587+1.30.819+1.10.876+4.20.464+5.70.31053.5%157
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 counted424
Win rate47.2%
Widest swing-14.5 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Kage's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Half fence56.0%+8.80.18350 ·
Breakable full fence55.6%+8.40.29236 ·
Fence and open53.6%+6.40.48328 ·
Low fence51.4%+4.20.59437 ·
Breakable half fence51.3%+4.10.58939 ·
Open48.3%+1.10.85658 ·
Octagon42.5%-4.70.53440 ·
Full fence41.7%-5.50.48936 ·
Rectangle38.9%-8.30.29836 ·
Single wall32.7%-14.50.02652 ·
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

Kage's win rate on the row's stage, minus the same on the column's

All ten shapes at once: chi-square 9.74 on 9 df, p 0.372

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence41.7%36-13.90.238-14.30.190-9.60.404-9.70.407+9.00.390-11.90.344-6.60.532+2.80.810-0.80.941
Breakable full fence+13.90.23855.6%36-0.40.967+4.30.711+4.20.719+22.90.033+2.00.874+7.30.492+16.70.157+13.10.256
Half fence+14.30.190+0.40.96756.0%50+4.70.658+4.70.667+23.30.018+2.40.836+7.70.423+17.10.117+13.50.203
Breakable half fence+9.60.404-4.30.711-4.70.65851.3%39-0.10.995+18.60.074-2.30.853+3.00.772+12.40.281+8.80.434
Low fence+9.70.407-4.20.719-4.70.667+0.10.99551.4%37+18.70.077-2.20.859+3.10.770+12.50.285+8.80.437
Single wall-9.00.390-22.90.033-23.30.018-18.60.074-18.70.07732.7%52-20.90.069-15.60.097-6.20.550-9.80.334
Fence and open+11.90.344-2.00.874-2.40.836+2.30.853+2.20.859+20.90.06953.6%28+5.30.645+14.70.242+11.10.368
Open+6.60.532-7.30.492-7.70.423-3.00.772-3.10.770+15.60.097-5.30.64548.3%58+9.40.374+5.80.573
Rectangle-2.80.810-16.70.157-17.10.117-12.40.281-12.50.285+6.20.550-14.70.242-9.40.37438.9%36-3.60.749
Octagon+0.80.941-13.10.256-13.50.203-8.80.434-8.80.437+9.80.334-11.10.368-5.80.573+3.60.74942.5%40
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.