VirtuAnalytics

Novel Insights Through Data & Analysis

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

Pai vs Wolf

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Matches counted2,179
Win rate51.6%
Widest swing3.0 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Pai's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Fence and open54.6%+3.00.516108
Open54.0%+2.40.401261
Breakable full fence53.0%+1.40.648234
Octagon52.2%+0.70.845201
Single wall51.3%-0.20.944187
Low fence51.0%-0.50.863237
Breakable half fence50.9%-0.70.842214
Full fence50.0%-1.60.644194
Half fence49.6%-2.00.516232
Rectangle48.8%-2.80.398209
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

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

All ten shapes at once: chi-square 2.52 on 9 df, p 0.980

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence50.0%194-3.00.538+0.40.929-0.90.850-1.10.827-1.30.794-4.60.440-4.00.396+1.20.810-2.20.656
Breakable full fence+3.00.53853.0%234+3.40.460+2.10.663+1.90.674+1.60.736-1.60.778-1.00.818+4.20.379+0.80.875
Half fence-0.40.929-3.40.46049.6%232-1.40.773-1.50.748-1.80.719-5.10.385-4.50.323+0.80.873-2.70.579
Breakable half fence+0.90.850-2.10.663+1.40.77350.9%214-0.10.980-0.40.936-3.70.531-3.10.502+2.10.661-1.30.790
Low fence+1.10.827-1.90.674+1.50.748+0.10.98051.0%237-0.30.954-3.60.538-3.00.508+2.20.635-1.20.805
Single wall+1.30.794-1.60.736+1.80.719+0.40.936+0.30.95451.3%187-3.30.585-2.70.574+2.50.615-0.90.859
Fence and open+4.60.440+1.60.778+5.10.385+3.70.531+3.60.538+3.30.58554.6%108+0.60.915+5.80.325+2.40.688
Open+4.00.396+1.00.818+4.50.323+3.10.502+3.00.508+2.70.574-0.60.91554.0%261+5.20.261+1.80.703
Rectangle-1.20.810-4.20.379-0.80.873-2.10.661-2.20.635-2.50.615-5.80.325-5.20.26148.8%209-3.40.487
Octagon+2.20.656-0.80.875+2.70.579+1.30.790+1.20.805+0.90.859-2.40.688-1.80.703+3.40.48752.2%201
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 counted2,009
Win rate52.2%
Widest swing-3.7 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Pai's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Open55.1%+2.90.331247
Fence and open54.0%+1.80.706100
Breakable full fence53.5%+1.30.681215
Breakable half fence52.5%+0.40.909196
Octagon52.4%+0.20.945187
Rectangle51.8%-0.30.923191
Low fence51.4%-0.80.801220
Single wall51.2%-1.00.796166
Half fence50.0%-2.20.491224
Full fence48.5%-3.70.322167
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

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

All ten shapes at once: chi-square 2.57 on 9 df, p 0.979

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence48.5%167-5.00.334-1.50.770-4.00.442-2.90.577-2.70.622-5.50.385-6.60.190-3.30.530-3.90.463
Breakable full fence+5.00.33453.5%215+3.50.465+0.90.849+2.10.657+2.30.658-0.50.932-1.60.735+1.70.739+1.10.828
Half fence+1.50.770-3.50.46550.0%224-2.50.602-1.40.774-1.20.814-4.00.506-5.10.272-1.80.710-2.40.627
Breakable half fence+4.00.442-0.90.849+2.50.60252.5%196+1.20.809+1.40.798-1.40.813-2.50.599+0.70.887+0.10.977
Low fence+2.90.577-2.10.657+1.40.774-1.20.80951.4%220+0.20.975-2.60.662-3.70.424-0.50.924-1.10.834
Single wall+2.70.622-2.30.658+1.20.814-1.40.798-0.20.97551.2%166-2.80.658-3.90.441-0.60.906-1.20.822
Fence and open+5.50.385+0.50.932+4.00.506+1.40.813+2.60.662+2.80.65854.0%100-1.10.857+2.20.725+1.60.797
Open+6.60.190+1.60.735+5.10.272+2.50.599+3.70.424+3.90.441+1.10.85755.1%247+3.20.502+2.60.583
Rectangle+3.30.530-1.70.739+1.80.710-0.70.887+0.50.924+0.60.906-2.20.725-3.20.50251.8%191-0.60.911
Octagon+3.90.463-1.10.828+2.40.627-0.10.977+1.10.834+1.20.822-1.60.797-2.60.583+0.60.91152.4%187
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 counted170
Win rate44.7%
Widest swing-28.0 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Pai's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Fence and open62.5%+17.80.3008 ·
Full fence59.3%+14.60.09727 ·
Single wall52.4%+7.70.45021 ·
Octagon50.0%+5.30.67714 ·
Breakable full fence47.4%+2.70.80419 ·
Low fence47.1%+2.40.83717 ·
Half fence37.5%-7.20.6758 ·
Open35.7%-9.00.48014 ·
Breakable half fence33.3%-11.40.30518 ·
Rectangle16.7%-28.00.01118 ·
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

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

All ten shapes at once: chi-square 11.39 on 9 df, p 0.250

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence59.3%27+11.90.425+21.80.278+25.90.088+12.20.429+6.90.634-3.20.869+23.60.153+42.60.005+9.30.571
Breakable full fence-11.90.42547.4%19+9.90.637+14.00.385+0.30.985-5.00.752-15.10.472+11.70.503+30.70.046-2.60.881
Half fence-21.80.278-9.90.63737.5%8+4.20.837-9.60.653-14.90.474-25.00.317+1.80.933+20.80.245-12.50.571
Breakable half fence-25.90.088-14.00.385-4.20.83733.3%18-13.70.407-19.10.232-29.20.165-2.40.888+16.70.248-16.70.341
Low fence-12.20.429-0.30.985+9.60.653+13.70.40747.1%17-5.30.744-15.40.471+11.30.524+30.40.053-2.90.870
Single wall-6.90.634+5.00.752+14.90.474+19.10.232+5.30.74452.4%21-10.10.624+16.70.332+35.70.020+2.40.890
Fence and open+3.20.869+15.10.472+25.00.317+29.20.165+15.40.471+10.10.62462.5%8+26.80.225+45.80.019+12.50.571
Open-23.60.153-11.70.503-1.80.933+2.40.888-11.30.524-16.70.332-26.80.22535.7%14+19.00.217-14.30.445
Rectangle-42.60.005-30.70.046-20.80.245-16.70.248-30.40.053-35.70.020-45.80.019-19.00.21716.7%18-33.30.044
Octagon-9.30.571+2.60.881+12.50.571+16.70.341+2.90.870-2.40.890-12.50.571+14.30.445+33.30.04450.0%14
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.