VirtuAnalytics

Novel Insights Through Data & Analysis

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

Brad vs Shun

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗
Matches counted1,849
Win rate53.1%
Widest swing10.5 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Brad's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Octagon63.5%+10.50.006159
Single wall55.2%+2.20.501210
Fence and open53.5%+0.40.930116
Full fence53.1%+0.10.981175
Rectangle52.2%-0.90.793205
Breakable half fence52.1%-0.90.794186
Open51.8%-1.20.735166
Low fence51.5%-1.60.661171
Half fence50.5%-2.60.443200
Breakable full fence49.7%-3.30.342183
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

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

All ten shapes at once: chi-square 9.13 on 9 df, p 0.425

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence53.1%175+3.40.518+2.60.609+1.00.850+1.70.754-2.10.681-0.30.959+1.30.805+0.90.854-10.40.055
Breakable full fence-3.40.51849.7%183-0.80.880-2.40.641-1.70.744-5.50.275-3.70.530-2.10.698-2.50.627-13.80.010
Half fence-2.60.609+0.80.88050.5%200-1.60.746-1.00.853-4.70.337-3.00.613-1.30.803-1.70.733-13.00.013
Breakable half fence-1.00.850+2.40.641+1.60.74652.1%186+0.70.897-3.10.539-1.30.826+0.30.949-0.10.993-11.40.033
Low fence-1.70.754+1.70.744+1.00.853-0.70.89751.5%171-3.80.462-2.00.741-0.30.949-0.70.887-12.10.027
Single wall+2.10.681+5.50.275+4.70.337+3.10.539+3.80.46255.2%210+1.80.756+3.40.508+3.00.534-8.30.109
Fence and open+0.30.959+3.70.530+3.00.613+1.30.826+2.00.741-1.80.75653.5%116+1.60.786+1.20.829-10.10.093
Open-1.30.805+2.10.698+1.30.803-0.30.949+0.30.949-3.40.508-1.60.78651.8%166-0.40.941-11.70.033
Rectangle-0.90.854+2.50.627+1.70.733+0.10.993+0.70.887-3.00.534-1.20.829+0.40.94152.2%205-11.30.030
Octagon+10.40.055+13.80.010+13.00.013+11.40.033+12.10.027+8.30.109+10.10.093+11.70.033+11.30.03063.5%159
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 counted1,538
Win rate52.3%
Widest swing10.2 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Brad's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Octagon62.5%+10.20.016128
Single wall54.3%+2.00.555186
Fence and open52.6%+0.30.95197
Breakable half fence51.9%-0.40.926156
Open51.8%-0.50.912137
Low fence51.4%-0.80.833140
Rectangle51.2%-1.10.779162
Full fence51.1%-1.20.762141
Breakable full fence49.4%-2.90.430168
Half fence48.5%-3.80.304161
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

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

All ten shapes at once: chi-square 7.39 on 9 df, p 0.597

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence51.1%141+1.70.771+2.60.650-0.90.882-0.40.951-3.20.561-1.50.818-0.80.899-0.20.976-11.40.059
Breakable full fence-1.70.77149.4%168+0.90.862-2.50.651-2.00.724-4.90.357-3.20.619-2.40.674-1.80.740-13.10.025
Half fence-2.60.650-0.90.86248.5%161-3.50.536-3.00.606-5.80.277-4.10.520-3.40.561-2.80.616-14.10.017
Breakable half fence+0.90.882+2.50.651+3.50.53651.9%156+0.50.932-2.40.661-0.70.919+0.10.987+0.70.902-10.60.073
Low fence+0.40.951+2.00.724+3.00.606-0.50.93251.4%140-2.90.607-1.10.862-0.40.947+0.20.973-11.10.068
Single wall+3.20.561+4.90.357+5.80.277+2.40.661+2.90.60754.3%186+1.70.783+2.50.659+3.10.568-8.20.149
Fence and open+1.50.818+3.20.619+4.10.520+0.70.919+1.10.862-1.70.78352.6%97+0.80.910+1.40.834-9.90.135
Open+0.80.899+2.40.674+3.40.561-0.10.987+0.40.947-2.50.659-0.80.91051.8%137+0.60.919-10.70.079
Rectangle+0.20.976+1.80.740+2.80.616-0.70.902-0.20.973-3.10.568-1.40.834-0.60.91951.2%162-11.30.055
Octagon+11.40.059+13.10.025+14.10.017+10.60.073+11.10.068+8.20.149+9.90.135+10.70.079+11.30.05562.5%128
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 counted311
Win rate56.9%
Widest swing10.8 pts
Survive correction0
Period2026/03/26 – 2026/09/23

Where it was fought

Brad's win rate on each stage, against this matchup everywhere
StageStage effectWin %ChangepMatches
Octagon67.7%+10.80.19931 ·
Single wall62.5%+5.60.56524 ·
Full fence61.8%+4.80.54534 ·
Half fence59.0%+2.10.78139 ·
Fence and open57.9%+1.00.92919 ·
Rectangle55.8%-1.10.87543 ·
Breakable full fence53.3%-3.60.77415 ·
Breakable half fence53.3%-3.60.67730 ·
Open51.7%-5.20.55329 ·
Low fence51.6%-5.30.53031 ·
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

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

All ten shapes at once: chi-square 3.07 on 9 df, p 0.961

StageFullBreak. fullHalfBreak. halfLowWallMixedOpenRectOct
Full fence61.8%34+8.40.580+2.80.808+8.40.496+10.20.409-0.70.955+3.90.782+10.00.422+6.00.599-6.00.615
Breakable full fence-8.40.58053.3%15-5.60.707+0.01.000+1.70.913-9.20.571-4.60.790+1.60.919-2.50.868-14.40.343
Half fence-2.80.808+5.60.70759.0%39+5.60.639+7.40.538-3.50.781+1.10.938+7.20.552+3.20.773-8.80.451
Breakable half fence-8.40.496-0.01.000-5.60.63953.3%30+1.70.893-9.20.498-4.60.754+1.60.902-2.50.834-14.40.249
Low fence-10.20.409-1.70.913-7.40.538-1.70.89351.6%31-10.90.419-6.30.665-0.10.993-4.20.721-16.10.196
Single wall+0.70.955+9.20.571+3.50.781+9.20.498+10.90.41962.5%24+4.60.759+10.80.431+6.70.595-5.20.685
Fence and open-3.90.782+4.60.790-1.10.938+4.60.754+6.30.665-4.60.75957.9%19+6.20.675+2.10.879-9.80.481
Open-10.00.422-1.60.919-7.20.552-1.60.902+0.10.993-10.80.431-6.20.67551.7%29-4.10.733-16.00.206
Rectangle-6.00.599+2.50.868-3.20.773+2.50.834+4.20.721-6.70.595-2.10.879+4.10.73355.8%43-11.90.300
Octagon+6.00.615+14.40.343+8.80.451+14.40.249+16.10.196+5.20.685+9.80.481+16.00.206+11.90.30067.7%31
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.