Virtua Fighter 5 REVO · v1.10 · Every character

Brad

Mid and high combined38,439 matchesMid ranks32,661 matchesHigh ranks5,778 matches

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

Win rate50.4%

Standing#8 of 19 · tier B

Pick rate5.2%

Most picked#9 of 19

Matches counted38,439

Unique players278

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jacky	54.50%	2,077	1,734	3,811
Shun	53.06%	981	868	1,849
Wolf	52.74%	1,213	1,087	2,300
Vanessa	52.18%	814	746	1,560
Jeffry	51.70%	1,214	1,134	2,348
Jean	51.37%	1,090	1,032	2,122
Goh	50.93%	1,117	1,076	2,193
Pai	50.73%	903	877	1,780
Sarah	50.63%	1,052	1,026	2,078
Dural	50.34%	220	217	437
Lion	50.16%	1,121	1,114	2,235
Akira	49.53%	2,017	2,055	4,072
Eileen	49.07%	317	329	646
El Blaze	48.91%	718	750	1,468
Lau	48.46%	1,290	1,372	2,662
Lei Fei	48.15%	704	758	1,462
Kage	48.03%	1,388	1,502	2,890
Aoi	45.98%	812	954	1,766
Taka	43.29%	329	431	760

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
Jacky54.5%	56	52	50	55	53	59	54	56	55	54
Shun53.1%	53	50	50	52	51	55	53	64	52	52
Wolf52.7%	49	49	55	56	54	55	49	60	55	47
Vanessa52.2%	57	49	41	52	52	48	57	50	54	60
Jeffry51.7%	53	47	50	60	52	52	54	54	45	51
Jean51.4%	52	54	53	54	51	48	50	50	53	48
Goh50.9%	57	53	58	43	51	54	47	47	50	50
Pai50.7%	51	52	41	51	50	54	56	51	51	52
Sarah50.6%	48	52	49	49	51	49	55	57	50	48
Dural50.3%	40	52	43	46	56	57	71	53	47	55
Lion50.2%	47	50	53	44	51	55	48	57	45	53
Akira49.5%	48	48	46	56	49	51	51	49	47	50
Eileen49.1%	51	52	61	47	48	47	48	41	46	50
El Blaze48.9%	49	51	50	55	47	47	56	49	38	52
Lau48.5%	49	48	45	52	49	48	48	45	49	50
Lei Fei48.1%	40	51	51	44	46	56	54	46	53	45
Kage48.0%	48	47	47	45	48	48	47	48	49	50
Aoi46.0%	46	43	48	50	45	41	44	49	49	43
Taka43.3%	50	43	44	38	26	44	33	43	54	51

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-0.2 pts behind walls (95% interval -1.5 to +1.0); within chance across the 20 characters tested, q=0.843

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
Jacky54.5%	54	55
Shun53.1%	53	53
Wolf52.7%	54	52
Vanessa52.2%	51	53
Jeffry51.7%	51	52
Jean51.4%	53	49
Goh50.9%	51	51
Pai50.7%	50	52
Sarah50.6%	51	49
Dural50.3%	47	56
Lion50.2%	49	53
Akira49.5%	49	50
Eileen49.1%	50	48
El Blaze48.9%	49	48
Lau48.5%	48	49
Lei Fei48.1%	47	49
Kage48.0%	47	49
Aoi46.0%	47	43
Taka43.3%	46	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
Shun52.4%	53	50	52	51	51	53	54	58	52	52
Jacky52.4%	53	51	49	53	52	56	54	52	52	53
Wolf51.7%	50	49	52	53	52	54	50	56	52	50
Vanessa51.4%	54	50	45	50	51	49	55	51	53	55
Jeffry50.9%	52	47	51	54	52	50	51	52	47	52
Goh50.7%	54	52	55	46	50	51	51	49	51	50
Jean50.6%	52	51	52	51	52	50	50	50	51	48
Lion50.1%	49	50	52	48	51	53	48	53	47	51
Pai50.1%	49	51	45	51	50	52	53	51	49	51
Sarah50.0%	49	50	49	49	50	50	52	54	50	49
Dural49.8%	44	48	46	47	54	56	63	52	46	50
Akira49.7%	50	49	48	52	49	50	51	49	48	51
El Blaze49.2%	49	50	51	51	49	48	53	50	43	52
Lau49.0%	50	48	47	50	49	49	51	47	50	51
Lei Fei48.9%	45	51	50	46	47	52	52	49	51	47
Kage48.8%	49	48	49	48	48	49	47	48	49	50
Eileen48.7%	50	49	54	48	49	48	48	44	47	51
Aoi48.3%	48	46	49	51	47	46	47	51	50	47
Taka46.6%	51	46	46	47	36	47	41	47	51	51

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-0.2 pts behind walls (95% interval -0.8 to +0.4); within chance across the 20 characters tested, q=0.582

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
Shun52.4%	53	52
Jacky52.4%	52	53
Wolf51.7%	52	52
Vanessa51.4%	51	52
Jeffry50.9%	51	51
Goh50.7%	51	50
Jean50.6%	51	50
Lion50.1%	50	51
Pai50.1%	49	51
Sarah50.0%	50	49
Dural49.8%	47	53
Akira49.7%	49	50
El Blaze49.2%	49	49
Lau49.0%	49	49
Lei Fei48.9%	49	49
Kage48.8%	49	49
Eileen48.7%	48	49
Aoi48.3%	49	47
Taka46.6%	48	45

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	4.88%	12	26,314
South America	3.90%	14	4,373
North America	9.17%	2	6,944
Europe	4.58%	8	798
Middle East	0.27%	8	2
Oceania	7.17%	4	16
Not recorded	5.95%	6	2,166

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

Win rate50.6%

Standing#8 of 19 · tier B

Pick rate5.1%

Most picked#10 of 19

Matches counted32,661

Unique players253

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jacky	54.98%	1,831	1,499	3,330
Wolf	52.80%	1,055	943	1,998
Shun	52.28%	804	734	1,538
Jeffry	52.03%	1,079	995	2,074
Vanessa	51.76%	619	577	1,196
Jean	51.56%	1,039	976	2,015
Pai	51.33%	827	784	1,611
Sarah	50.42%	950	934	1,884
Goh	50.37%	1,011	996	2,007
Akira	50.23%	1,723	1,707	3,430
Dural	50.00%	209	209	418
Lion	49.82%	847	853	1,700
Lau	49.69%	1,054	1,067	2,121
El Blaze	49.67%	594	602	1,196
Lei Fei	48.79%	566	594	1,160
Kage	47.78%	1,121	1,225	2,346
Eileen	47.68%	216	237	453
Taka	45.40%	291	350	641
Aoi	44.78%	691	852	1,543

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
Jacky55.0%	56	54	50	54	53	61	56	57	54	55
Wolf52.8%	48	50	54	55	54	57	49	59	56	46
Shun52.3%	51	49	48	52	51	54	53	62	51	52
Jeffry52.0%	52	47	53	61	54	52	55	51	46	50
Vanessa51.8%	53	49	41	51	54	48	52	50	56	58
Jean51.6%	51	54	54	53	50	49	50	51	54	48
Pai51.3%	51	55	41	52	49	52	55	52	54	51
Sarah50.4%	49	52	50	48	50	48	57	57	49	46
Goh50.4%	58	51	56	43	51	53	43	47	50	50
Akira50.2%	48	48	48	59	48	52	51	50	47	52
Dural50.0%	38	52	38	44	54	57	71	56	47	56
Lion49.8%	47	47	52	45	53	53	45	60	46	52
Lau49.7%	50	50	46	53	47	48	50	49	48	55
El Blaze49.7%	50	51	53	53	48	46	57	51	40	51
Lei Fei48.8%	42	50	58	44	47	58	55	44	51	41
Kage47.8%	47	46	47	43	45	49	49	49	50	50
Eileen47.7%	57	53	56	49	42	52	50	33	40	49
Taka45.4%	50	45	47	41	31	44	35	45	57	51
Aoi44.8%	44	42	47	48	45	38	45	49	48	41

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+0.1 pts behind walls (95% interval -1.3 to +1.4); within chance across the 20 characters tested, q=0.900

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
Jacky55.0%	54	56
Wolf52.8%	54	52
Shun52.3%	52	53
Jeffry52.0%	51	52
Vanessa51.8%	50	54
Jean51.6%	53	49
Pai51.3%	51	51
Sarah50.4%	51	48
Goh50.4%	51	51
Akira50.2%	50	51
Dural50.0%	46	56
Lion49.8%	49	53
Lau49.7%	50	49
El Blaze49.7%	50	48
Lei Fei48.8%	48	49
Kage47.8%	47	48
Eileen47.7%	48	47
Taka45.4%	48	43
Aoi44.8%	46	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
Jacky52.7%	53	52	50	53	52	57	54	53	51	53
Shun52.0%	52	50	50	51	51	53	54	57	52	52
Wolf51.7%	50	50	52	52	51	55	50	55	52	49
Jeffry51.3%	52	48	52	55	53	51	51	51	48	51
Vanessa51.2%	52	50	45	49	51	49	54	51	54	54
Jean50.7%	52	51	53	51	51	50	50	50	51	48
Goh50.4%	54	51	54	45	50	51	48	49	51	50
Pai50.4%	49	53	44	52	50	50	52	53	50	51
Akira50.2%	50	49	49	54	49	50	50	50	49	52
Lion50.1%	49	49	52	48	52	52	46	54	47	51
Sarah49.9%	49	50	50	49	50	49	53	53	50	48
Lau49.6%	51	49	47	51	47	49	51	49	50	53
Dural49.6%	43	48	43	46	54	56	63	53	46	51
El Blaze49.5%	50	48	52	50	50	48	54	51	42	52
Lei Fei49.4%	46	51	53	46	47	54	52	48	51	46
Kage48.4%	48	48	49	46	46	49	48	48	50	50
Eileen47.7%	53	49	50	47	47	50	45	40	43	52
Aoi47.5%	47	46	48	49	46	45	47	50	50	46
Taka47.5%	50	47	47	47	39	47	42	48	53	51

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-0.1 pts behind walls (95% interval -0.8 to +0.6); within chance across the 20 characters tested, q=0.967

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
Jacky52.7%	52	54
Shun52.0%	52	52
Wolf51.7%	52	52
Jeffry51.3%	51	52
Vanessa51.2%	50	51
Jean50.7%	51	50
Goh50.4%	51	50
Pai50.4%	50	51
Akira50.2%	50	50
Lion50.1%	50	51
Sarah49.9%	50	49
Lau49.6%	50	49
Dural49.6%	47	53
El Blaze49.5%	49	50
Lei Fei49.4%	49	49
Kage48.4%	48	48
Eileen47.7%	47	49
Aoi47.5%	48	46
Taka47.5%	49	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	4.68%	12	20,474
South America	3.92%	14	4,373
North America	9.62%	2	6,885
Europe	4.96%	8	728
Middle East	0.27%	8	2
Oceania	7.17%	4	16
Not recorded	5.86%	6	1,941

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

Win rate49.3%

Standing#10 of 19 · tier B

Pick rate5.5%

Most picked#8 of 19

Matches counted5,778

Unique players44

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Dural	57.89%	11	8	19
Goh	56.99%	106	80	186
Shun	56.91%	177	134	311
Aoi	54.26%	121	102	223
Vanessa	53.57%	195	169	364
Sarah	52.58%	102	92	194
Eileen	52.33%	101	92	193
Wolf	52.32%	158	144	302
Lion	51.21%	274	261	535
Jacky	51.14%	246	235	481
Jeffry	49.27%	135	139	274
Kage	49.08%	267	277	544
Jean	47.66%	51	56	107
Akira	45.79%	294	348	642
Lei Fei	45.70%	138	164	302
El Blaze	45.59%	124	148	272
Pai	44.97%	76	93	169
Lau	43.62%	236	305	541
Taka	31.93%	38	81	119

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
Dural57.9%	67	·	62	100	100	·	·	0	·	33
Goh57.0%	50	82	80	41	50	62	91	48	57	50
Shun56.9%	62	53	59	53	52	62	58	68	56	52
Aoi54.3%	58	50	58	58	47	57	40	54	56	62
Vanessa53.6%	68	50	42	56	46	47	68	50	43	70
Sarah52.6%	40	55	39	62	57	62	29	60	54	63
Eileen52.3%	38	50	71	43	67	33	44	69	62	52
Wolf52.3%	55	46	58	61	52	43	50	65	47	52
Lion51.2%	49	56	59	43	43	61	57	49	43	55
Jacky51.1%	57	45	47	60	50	48	42	50	62	49
Jeffry49.3%	58	47	31	56	41	53	40	76	38	56
Kage49.1%	54	49	49	54	63	48	35	40	45	52
Jean47.7%	67	62	33	67	75	40	67	33	25	43
Akira45.8%	48	52	38	41	55	48	51	41	43	43
Lei Fei45.7%	27	55	23	42	43	41	50	54	60	59
El Blaze45.6%	48	50	38	62	38	50	50	33	31	56
Pai45.0%	50	21	41	42	71	90	70	40	13	53
Lau43.6%	43	41	41	41	58	49	40	31	55	35
Taka31.9%	50	27	25	22	15	40	0	17	25	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-2.2 pts behind walls (95% interval -5.3 to +1.0); within chance across the 20 characters tested, q=0.569

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
Dural57.9%	60	50
Goh57.0%	56	54
Shun56.9%	59	55
Aoi54.3%	55	57
Vanessa53.6%	52	53
Sarah52.6%	51	61
Eileen52.3%	54	52
Wolf52.3%	55	49
Lion51.2%	49	53
Jacky51.1%	52	49
Jeffry49.3%	50	49
Kage49.1%	49	54
Jean47.7%	48	47
Akira45.8%	44	48
Lei Fei45.7%	45	49
El Blaze45.6%	43	49
Pai45.0%	34	63
Lau43.6%	41	48
Taka31.9%	31	30

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
Shun54.3%	59	49	56	48	51	54	54	60	56	53
Dural54.0%	60	·	59	71	60	·	·	40	·	33
Aoi53.8%	53	49	60	57	50	54	49	53	53	59
Goh53.7%	53	65	70	47	49	54	76	48	54	49
Wolf52.2%	54	46	53	59	53	46	51	58	50	54
Vanessa52.0%	59	49	44	52	52	48	58	53	46	59
Sarah51.1%	46	48	44	57	57	55	37	54	55	54
Eileen51.0%	42	50	61	48	55	44	51	55	59	49
Kage50.3%	52	51	50	54	58	49	41	46	47	52
Lion50.3%	47	53	54	46	47	54	53	50	46	52
Jacky50.0%	57	46	46	52	51	49	49	49	56	46
Jean48.5%	56	56	46	59	59	44	62	39	36	47
El Blaze48.2%	43	54	46	54	42	48	52	45	45	54
Jeffry47.2%	50	43	37	53	39	49	46	65	40	53
Lei Fei47.1%	40	51	36	46	44	42	53	52	52	53
Pai47.1%	47	33	46	46	63	66	60	45	32	49
Akira46.7%	47	50	45	44	50	48	52	43	44	46
Lau46.5%	45	45	44	43	56	49	47	39	53	43
Taka41.9%	53	44	30	44	31	48	33	30	38	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-0.9 pts behind walls (95% interval -2.5 to +0.8); within chance across the 20 characters tested, q=0.546

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
Shun54.3%	56	52
Dural54.0%	58	41
Aoi53.8%	54	55
Goh53.7%	54	51
Wolf52.2%	53	51
Vanessa52.0%	51	53
Sarah51.1%	50	56
Eileen51.0%	52	50
Kage50.3%	50	53
Lion50.3%	49	51
Jacky50.0%	50	49
Jean48.5%	49	48
El Blaze48.2%	48	48
Jeffry47.2%	48	47
Lei Fei47.1%	47	47
Pai47.1%	42	54
Akira46.7%	46	48
Lau46.5%	45	49
Taka41.9%	42	40

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	5.72%	6	5,840
North America	1.41%	14	59
Europe	2.54%	13	70
South America	0.00%	12	0
Not recorded	6.90%	6	225