Virtua Fighter 5 REVO · v1.10 · Every character

Jeffry

Mid and high combined41,670 matchesMid ranks38,346 matchesHigh ranks3,324 matches

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Win rate50.7%

Standing#7 of 19 · tier A

Pick rate5.7%

Most picked#6 of 19

Matches counted41,670

Unique players368

Period2026/03/26 – 2026/09/23

Against the roster

Win rate in each matchup, over decided non-mirror matches

Opponent	Win %	Wins	Losses	Matches
Lei Fei	55.14%	965	785	1,750
Aoi	53.67%	1,031	890	1,921
Sarah	52.90%	1,195	1,064	2,259
Dural	52.63%	240	216	456
Jean	52.51%	1,236	1,118	2,354
Pai	52.49%	971	879	1,850
Akira	51.46%	2,426	2,288	4,714
Lion	51.30%	1,168	1,109	2,277
Jacky	51.18%	2,130	2,032	4,162
Goh	50.58%	1,227	1,199	2,426
Wolf	50.58%	1,351	1,320	2,671
El Blaze	50.47%	752	738	1,490
Shun	49.34%	1,191	1,223	2,414
Taka	48.81%	327	343	670
Kage	48.67%	1,390	1,466	2,856
Brad	48.30%	1,134	1,214	2,348
Lau	47.67%	1,290	1,416	2,706
Vanessa	47.42%	809	897	1,706
Eileen	46.72%	299	341	640

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Win Probability

Change from this character's own win rate, in points

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

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.

Each matchup, stage by stage

Win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Lei Fei55.1%	50	63	55	55	51	48	63	59	58	57
Aoi53.7%	51	53	55	54	60	51	59	49	63	46
Sarah52.9%	57	57	46	59	50	52	53	51	56	54
Dural52.6%	64	51	52	50	51	54	60	50	50	50
Jean52.5%	52	56	52	49	54	57	46	53	56	50
Pai52.5%	46	49	49	53	55	54	59	60	51	54
Akira51.5%	54	50	48	51	55	51	52	52	52	49
Lion51.3%	56	50	49	56	55	49	50	48	55	47
Jacky51.2%	55	55	47	51	51	49	55	53	49	48
Goh50.6%	56	49	57	52	51	51	47	45	51	47
Wolf50.6%	50	47	51	52	49	51	55	52	54	51
El Blaze50.5%	49	53	53	47	48	50	54	51	50	46
Shun49.3%	50	54	55	51	42	48	46	51	49	47
Taka48.8%	47	51	49	47	40	56	52	44	52	46
Kage48.7%	46	46	50	47	55	45	48	50	49	48
Brad48.3%	47	53	50	40	48	48	46	46	55	49
Lau47.7%	49	46	46	47	48	45	50	49	50	48
Vanessa47.4%	48	46	44	47	47	47	43	53	53	47
Eileen46.7%	51	45	55	46	40	36	46	53	47	49

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+1.3 pts behind walls (95% interval +0.1 to +2.5); within chance across the 20 characters tested, q=0.155

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.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Lei Fei55.1%	57	52
Aoi53.7%	54	52
Sarah52.9%	54	52
Dural52.6%	53	52
Jean52.5%	53	53
Pai52.5%	51	54
Akira51.5%	51	52
Lion51.3%	52	50
Jacky51.2%	51	49
Goh50.6%	52	50
Wolf50.6%	51	50
El Blaze50.5%	50	48
Shun49.3%	52	45
Taka48.8%	48	47
Kage48.7%	48	49
Brad48.3%	49	48
Lau47.7%	48	47
Vanessa47.4%	49	47
Eileen46.7%	49	41

Worse on this stageNo changeBetter on this stage

Stage Impact To Round Win Probability

Change from this character's own round win rate, in points

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.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Lei Fei52.8%	50	57	52	53	50	50	56	55	52	55
Aoi52.5%	51	52	53	52	55	52	55	52	57	49
Sarah51.9%	55	54	48	55	50	52	52	51	54	52
Jean51.5%	52	54	51	49	52	53	49	52	52	51
Lion51.2%	54	52	50	53	54	50	50	49	53	48
Pai51.1%	48	50	51	51	51	51	53	53	51	51
Dural51.0%	55	50	50	49	54	51	57	51	49	48
Akira51.0%	52	50	50	51	53	51	52	51	51	50
Jacky50.8%	52	53	48	50	51	50	54	52	50	49
Shun50.5%	51	52	54	51	47	50	50	52	50	49
Goh50.3%	52	51	53	50	52	50	48	48	50	49
Wolf50.1%	49	49	50	51	48	50	53	52	52	51
El Blaze49.9%	49	51	51	49	48	50	53	51	49	48
Kage49.5%	48	49	50	49	53	47	50	50	50	49
Brad49.1%	48	53	49	46	48	50	49	48	53	48
Lau48.9%	49	49	49	49	50	47	49	49	49	49
Eileen48.8%	50	48	51	48	45	46	45	52	49	51
Vanessa48.5%	49	48	47	48	47	49	45	52	50	49
Taka48.3%	47	51	48	47	43	50	50	48	50	47

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.7 pts behind walls (95% interval +0.1 to +1.2); within chance across the 20 characters tested, q=0.184

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.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Lei Fei52.8%	53	52
Aoi52.5%	53	52
Sarah51.9%	53	51
Jean51.5%	52	52
Lion51.2%	52	51
Pai51.1%	51	51
Dural51.0%	51	51
Akira51.0%	51	51
Jacky50.8%	51	50
Shun50.5%	52	49
Goh50.3%	51	50
Wolf50.1%	50	50
El Blaze49.9%	50	48
Kage49.5%	49	50
Brad49.1%	49	49
Lau48.9%	49	49
Eileen48.8%	50	47
Vanessa48.5%	49	48
Taka48.3%	48	47

Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks

Region	Share	Standing	Appearances
Asia	5.52%	7	29,759
South America	7.16%	4	8,032
North America	3.40%	16	2,573
Europe	9.75%	2	1,699
Middle East	1.77%	4	13
Oceania	0.00%	14	0
Not recorded	6.26%	5	2,278

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Win rate51.0%

Standing#6 of 19 · tier A

Pick rate6.1%

Most picked#5 of 19

Matches counted38,346

Unique players354

Period2026/03/26 – 2026/09/23

Against the roster

Win rate in each matchup, over decided non-mirror matches

Opponent	Win %	Wins	Losses	Matches
Lei Fei	55.75%	878	697	1,575
Aoi	53.99%	981	836	1,817
Dural	53.24%	222	195	417
Jean	52.61%	1,191	1,073	2,264
Pai	52.50%	925	837	1,762
Sarah	52.26%	1,076	983	2,059
Akira	52.10%	2,309	2,123	4,432
Jacky	51.65%	2,036	1,906	3,942
El Blaze	50.99%	693	666	1,359
Wolf	50.95%	1,282	1,234	2,516
Lion	50.20%	1,002	994	1,996
Goh	49.94%	1,160	1,163	2,323
Taka	49.92%	296	297	593
Shun	49.53%	1,108	1,129	2,237
Lau	49.43%	1,170	1,197	2,367
Kage	48.77%	1,253	1,316	2,569
Vanessa	48.47%	728	774	1,502
Eileen	48.34%	262	280	542
Brad	47.97%	995	1,079	2,074

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Win Probability

Change from this character's own win rate, in points

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.

Each matchup, stage by stage

Win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Lei Fei55.8%	51	64	55	58	50	51	64	58	57	59
Aoi54.0%	52	55	54	54	59	52	59	50	63	46
Dural53.2%	67	48	53	56	41	58	58	50	56	50
Jean52.6%	53	57	51	50	54	56	46	52	57	50
Pai52.5%	45	49	48	53	56	54	59	59	51	54
Sarah52.3%	58	56	46	59	48	51	52	52	55	51
Akira52.1%	55	50	48	51	55	53	52	53	53	50
Jacky51.6%	55	55	47	51	53	50	55	53	50	48
El Blaze51.0%	50	51	53	47	49	52	57	54	50	45
Wolf51.0%	50	47	51	53	49	53	55	52	54	53
Lion50.2%	55	48	48	57	52	47	50	48	54	45
Goh49.9%	54	48	57	51	51	50	46	45	50	47
Taka49.9%	44	53	52	48	38	56	56	47	52	48
Shun49.5%	51	53	54	53	43	50	44	51	48	48
Lau49.4%	50	49	47	50	49	48	52	52	50	49
Kage48.8%	47	48	50	46	54	46	46	50	50	46
Vanessa48.5%	49	45	45	50	47	47	44	53	53	50
Eileen48.3%	53	47	60	46	42	39	50	52	48	53
Brad48.0%	48	53	47	39	46	48	45	49	54	50

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+1.4 pts behind walls (95% interval +0.1 to +2.6); within chance across the 20 characters tested, q=0.142

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.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Lei Fei55.8%	57	53
Aoi54.0%	55	52
Dural53.2%	55	50
Jean52.6%	53	53
Pai52.5%	51	55
Sarah52.3%	54	50
Akira52.1%	52	53
Jacky51.6%	52	50
El Blaze51.0%	51	49
Wolf51.0%	51	51
Lion50.2%	51	48
Goh49.9%	51	49
Taka49.9%	49	48
Shun49.5%	52	46
Lau49.4%	50	49
Kage48.8%	49	49
Vanessa48.5%	49	48
Eileen48.3%	51	43
Brad48.0%	49	48

Worse on this stageNo changeBetter on this stage

Stage Impact To Round Win Probability

Change from this character's own round win rate, in points

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.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Lei Fei53.0%	51	58	52	54	49	52	56	54	52	56
Aoi52.8%	51	53	53	52	55	53	55	52	57	49
Jean51.5%	52	54	50	50	52	53	48	52	53	50
Akira51.3%	53	50	50	51	53	52	52	52	51	50
Sarah51.3%	55	54	48	55	48	51	51	51	53	50
Dural51.3%	57	48	50	53	46	54	56	51	53	48
Pai51.1%	48	50	51	51	52	51	53	52	52	51
Jacky51.1%	52	53	49	50	52	50	54	53	50	49
Shun50.7%	51	51	53	52	48	51	49	52	50	49
Lion50.4%	53	50	49	53	52	49	50	49	53	48
Wolf50.3%	49	49	50	51	49	51	53	52	52	51
El Blaze50.1%	49	50	52	49	48	51	53	52	50	47
Goh50.0%	51	50	53	50	51	50	48	48	50	49
Lau49.8%	49	50	49	51	50	48	50	50	49	50
Eileen49.6%	52	49	54	48	46	47	48	52	49	52
Kage49.5%	49	50	50	48	53	47	49	50	50	48
Vanessa49.1%	50	48	48	50	47	49	45	51	51	51
Taka48.7%	46	51	49	48	42	50	51	48	50	48
Brad48.7%	48	52	48	45	47	49	49	49	52	49

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.7 pts behind walls (95% interval +0.0 to +1.3); within chance across the 20 characters tested, q=0.169

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.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Lei Fei53.0%	54	52
Aoi52.8%	53	52
Jean51.5%	52	52
Akira51.3%	51	52
Sarah51.3%	52	50
Dural51.3%	52	50
Pai51.1%	51	51
Jacky51.1%	51	50
Shun50.7%	51	49
Lion50.4%	51	50
Wolf50.3%	50	50
El Blaze50.1%	50	49
Goh50.0%	50	50
Lau49.8%	50	49
Eileen49.6%	51	48
Kage49.5%	49	49
Vanessa49.1%	50	49
Taka48.7%	49	47
Brad48.7%	49	48

Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks

Region	Share	Standing	Appearances
Asia	6.19%	6	27,078
South America	7.19%	4	8,032
North America	3.54%	16	2,533
Europe	8.89%	3	1,305
Middle East	1.77%	4	13
Oceania	0.00%	14	0
Not recorded	6.15%	5	2,037

The same figures as a 1080×1080 card, for posting. Click it to copy the image. Full size ↗

Win rate47.1%

Standing#16 of 19 · tier C

Pick rate3.0%

Most picked#16 of 19

Matches counted3,324

Unique players47

Period2026/03/26 – 2026/09/23

Against the roster

Win rate in each matchup, over decided non-mirror matches

Opponent	Win %	Wins	Losses	Matches
Goh	65.05%	67	36	103
Sarah	59.50%	119	81	200
Lion	59.07%	166	115	281
Pai	52.27%	46	42	88
Brad	50.73%	139	135	274
Jean	50.00%	45	45	90
Lei Fei	49.71%	87	88	175
Aoi	48.08%	50	54	104
Kage	47.74%	137	150	287
Shun	46.89%	83	94	177
Dural	46.15%	18	21	39
El Blaze	45.04%	59	72	131
Wolf	44.52%	69	86	155
Jacky	42.73%	94	126	220
Akira	41.49%	117	165	282
Taka	40.26%	31	46	77
Vanessa	39.71%	81	123	204
Eileen	37.76%	37	61	98
Lau	35.40%	120	219	339

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Win Probability

Change from this character's own win rate, in points

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.

Each matchup, stage by stage

Win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Goh65.0%	80	62	70	64	56	60	100	67	80	55
Sarah59.5%	36	59	53	56	71	73	75	33	67	67
Lion59.1%	61	74	60	50	72	62	55	49	58	55
Pai52.3%	71	50	67	60	14	50	0	67	47	62
Brad50.7%	42	53	69	44	59	47	60	24	62	44
Jean50.0%	27	33	62	0	56	71	50	58	47	56
Lei Fei49.7%	47	33	52	38	60	25	50	60	62	43
Aoi48.1%	43	36	67	67	67	33	50	36	67	50
Kage47.7%	38	27	50	50	60	43	67	50	41	65
Shun46.9%	48	56	73	11	33	32	71	50	63	36
Dural46.1%	0	67	40	17	100	0	100	·	0	·
El Blaze45.0%	41	73	50	50	41	22	20	25	43	62
Wolf44.5%	60	40	50	36	47	30	57	54	45	39
Jacky42.7%	55	52	41	43	32	33	64	35	39	47
Akira41.5%	48	41	44	35	54	19	44	41	39	33
Taka40.3%	71	38	17	33	46	60	33	33	50	29
Vanessa39.7%	33	50	35	32	50	45	35	52	50	24
Eileen37.8%	40	36	38	46	17	0	0	62	43	40
Lau35.4%	48	27	42	22	39	31	38	31	45	38

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+0.6 pts behind walls (95% interval -3.5 to +4.7); within chance across the 20 characters tested, q=0.887

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.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Goh65.0%	70	57
Sarah59.5%	52	69
Lion59.1%	57	62
Pai52.3%	58	45
Brad50.7%	50	51
Jean50.0%	44	60
Lei Fei49.7%	49	45
Aoi48.1%	48	50
Kage47.7%	43	55
Shun46.9%	53	33
Dural46.1%	35	67
El Blaze45.0%	46	41
Wolf44.5%	49	38
Jacky42.7%	43	38
Akira41.5%	42	39
Taka40.3%	39	44
Vanessa39.7%	43	37
Eileen37.8%	43	26
Lau35.4%	36	36

Worse on this stageNo changeBetter on this stage

Stage Impact To Round Win Probability

Change from this character's own round win rate, in points

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.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Sarah58.7%	46	60	55	56	66	67	78	47	62	61
Goh58.7%	67	63	59	55	61	57	67	53	59	51
Lion57.5%	60	76	61	49	66	58	51	51	57	53
Brad52.8%	50	57	63	47	61	51	54	35	60	47
Lei Fei50.7%	48	42	52	43	59	38	52	57	52	48
Jean50.5%	42	42	57	19	56	62	56	55	44	57
Pai50.1%	55	55	54	52	30	51	25	64	44	56
Kage49.6%	43	40	47	54	57	46	58	51	48	60
Aoi48.8%	46	42	57	57	57	46	54	45	57	50
El Blaze47.8%	48	61	49	48	45	34	46	42	44	55
Dural47.7%	0	74	40	20	100	14	75	·	0	·
Shun47.7%	51	58	62	26	40	36	68	46	56	38
Wolf46.7%	51	45	51	41	43	38	52	52	50	46
Akira46.1%	51	48	47	43	51	28	51	44	48	40
Jacky45.8%	52	49	44	47	37	40	54	45	47	47
Taka44.9%	55	47	33	40	45	55	43	44	47	41
Eileen44.0%	44	44	43	46	35	31	0	58	47	48
Vanessa43.9%	41	50	43	36	50	46	43	53	48	32
Lau43.0%	45	43	43	35	46	42	46	41	48	44

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.5 pts behind walls (95% interval -1.7 to +2.7); within chance across the 20 characters tested, q=0.729

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.

Walls Impact To Round Win Probability

Round win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Sarah58.7%	55	64
Goh58.7%	61	56
Lion57.5%	57	58
Brad52.8%	52	53
Lei Fei50.7%	49	50
Jean50.5%	47	58
Pai50.1%	53	47
Kage49.6%	47	53
Aoi48.8%	49	51
El Blaze47.8%	48	44
Dural47.7%	34	68
Shun47.7%	52	39
Wolf46.7%	49	43
Akira46.1%	47	42
Jacky45.8%	47	42
Taka44.9%	45	46
Eileen44.0%	46	42
Vanessa43.9%	46	41
Lau43.0%	43	44

Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks

Region	Share	Standing	Appearances
Asia	2.63%	17	2,681
North America	0.95%	17	40
Europe	14.30%	2	394
South America	0.00%	16	0
Not recorded	7.39%	5	241