VirtuAnalytics

Novel Insights Through Data & Analysis

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

Pai vs Shun

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted1,776
Win rate50.6%
Widest swing7.3 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
Open57.9%+7.30.049164
Breakable half fence55.1%+4.50.209176
Full fence52.9%+2.30.528172
Breakable full fence51.7%+1.10.784147
Half fence51.0%+0.40.907198
Octagon50.8%+0.20.953181
Low fence49.2%-1.40.681199
Fence and open48.4%-2.30.605122
Rectangle48.3%-2.30.515174
Single wall45.7%-4.90.187162
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 7.54 on 9 df, p 0.581

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence52.9%172+1.20.830+1.90.716-2.20.680+3.70.482+7.20.187+4.50.442-5.00.355+4.60.389+2.10.696
Breakable full fence-1.20.83051.7%147+0.70.899-3.40.540+2.50.652+6.00.290+3.30.585-6.20.271+3.40.541+0.90.875
Half fence-1.90.716-0.70.89951.0%198-4.10.427+1.80.725+5.30.314+2.60.645-6.90.189+2.70.599+0.20.972
Breakable half fence+2.20.680+3.40.540+4.10.42755.1%176+5.90.256+9.40.083+6.80.251-2.80.601+6.80.201+4.30.417
Low fence-3.70.482-2.50.652-1.80.725-5.90.25649.2%199+3.60.500+0.90.878-8.70.099+1.00.852-1.60.758
Single wall-7.20.187-6.00.290-5.30.314-9.40.083-3.60.50045.7%162-2.70.654-12.20.027-2.60.634-5.20.341
Fence and open-4.50.442-3.30.585-2.60.645-6.80.251-0.90.878+2.70.65448.4%122-9.60.108+0.10.989-2.50.673
Open+5.00.355+6.20.271+6.90.189+2.80.601+8.70.099+12.20.027+9.60.10857.9%164+9.70.076+7.10.186
Rectangle-4.60.389-3.40.541-2.70.599-6.80.201-1.00.852+2.60.634-0.10.989-9.70.07648.3%174-2.50.631
Octagon-2.10.696-0.90.875-0.20.972-4.30.417+1.60.758+5.20.341+2.50.673-7.10.186+2.50.63150.8%181
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 counted1,553
Win rate51.3%
Widest swing7.2 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
Open58.5%+7.20.072142
Breakable half fence56.5%+5.20.184147
Full fence56.2%+5.00.197153
Breakable full fence53.3%+2.10.613135
Half fence50.9%-0.40.911175
Octagon50.6%-0.60.871156
Low fence49.7%-1.60.666173
Rectangle49.0%-2.30.562145
Fence and open47.5%-3.80.391118
Single wall44.7%-6.60.101141
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 9.78 on 9 df, p 0.369

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence56.2%153+2.90.625+5.30.332-0.20.965+6.50.241+11.50.048+8.80.153-2.20.697+7.20.211+5.60.327
Breakable full fence-2.90.62553.3%135+2.50.665-3.10.598+3.60.528+8.70.151+5.90.351-5.10.391+4.40.465+2.70.647
Half fence-5.30.332-2.50.66550.9%175-5.60.315+1.10.831+6.20.275+3.40.568-7.60.177+1.90.736+0.20.969
Breakable half fence+0.20.965+3.10.598+5.60.31556.5%147+6.80.228+11.80.046+9.00.145-2.00.733+7.50.199+5.80.310
Low fence-6.50.241-3.60.528-1.10.831-6.80.22849.7%173+5.00.375+2.20.706-8.70.122+0.70.895-0.90.866
Single wall-11.50.048-8.70.151-6.20.275-11.80.046-5.00.37544.7%141-2.80.655-13.80.020-4.30.468-6.00.304
Fence and open-8.80.153-5.90.351-3.40.568-9.00.145-2.20.706+2.80.65547.5%118-11.00.077-1.50.808-3.20.602
Open+2.20.697+5.10.391+7.60.177+2.00.733+8.70.122+13.80.020+11.00.07758.5%142+9.50.107+7.80.176
Rectangle-7.20.211-4.40.465-1.90.736-7.50.199-0.70.895+4.30.468+1.50.808-9.50.10749.0%145-1.70.771
Octagon-5.60.327-2.70.647-0.20.969-5.80.310+0.90.866+6.00.304+3.20.602-7.80.176+1.70.77150.6%156
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 counted223
Win rate46.2%
Widest swing28.8 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 open75.0%+28.80.2434 ·
Open54.5%+8.40.40822 ·
Single wall52.4%+6.20.55021 ·
Half fence52.2%+6.00.54323 ·
Octagon52.0%+5.80.53625 ·
Breakable half fence48.3%+2.10.80929 ·
Low fence46.1%-0.00.99726 ·
Rectangle44.8%-1.40.87529 ·
Breakable full fence33.3%-12.90.35812 ·
Full fence26.3%-19.90.06919 ·
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 6.74 on 9 df, p 0.664

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence26.3%19-7.00.675-25.90.089-22.00.128-19.80.175-26.10.093-48.70.063-28.20.067-18.50.195-25.70.086
Breakable full fence+7.00.67533.3%12-18.80.288-14.90.380-12.80.457-19.10.290-41.70.146-21.20.236-11.50.497-18.70.286
Half fence+25.90.089+18.80.28852.2%23+3.90.780+6.00.674-0.20.989-22.80.396-2.40.873+7.30.598+0.20.990
Breakable half fence+22.00.128+14.90.380-3.90.78048.3%29+2.10.875-4.10.774-26.70.316-6.30.657+3.50.792-3.70.785
Low fence+19.80.175+12.80.457-6.00.674-2.10.87546.1%26-6.20.671-28.90.283-8.40.562+1.30.921-5.80.676
Single wall+26.10.093+19.10.290+0.20.989+4.10.774+6.20.67152.4%21-22.60.404-2.20.887+7.50.598+0.40.979
Fence and open+48.70.063+41.70.146+22.80.396+26.70.316+28.90.283+22.60.40475.0%4+20.40.446+30.20.258+23.00.390
Open+28.20.067+21.20.236+2.40.873+6.30.657+8.40.562+2.20.887-20.40.44654.5%22+9.70.492+2.50.861
Rectangle+18.50.195+11.50.497-7.30.598-3.50.792-1.30.921-7.50.598-30.20.258-9.70.49244.8%29-7.20.599
Octagon+25.70.086+18.70.286-0.20.990+3.70.785+5.80.676-0.40.979-23.00.390-2.50.861+7.20.59952.0%25
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.