Virtua Fighter 5 REVO · v1.10 · Every character

Wolf

Mid and high combined42,739 matchesMid ranks38,942 matchesHigh ranks3,797 matches

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

Win rate48.2%

Standing#19 of 19 · tier D

Pick rate5.8%

Most picked#5 of 19

Matches counted42,739

Unique players321

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	54.65%	235	195	430
Akira	49.98%	2,467	2,469	4,936
Lei Fei	49.44%	878	898	1,776
Jeffry	49.42%	1,320	1,351	2,671
Goh	49.34%	1,151	1,182	2,333
Taka	49.09%	377	391	768
Aoi	48.89%	928	970	1,898
Shun	48.46%	1,054	1,121	2,175
Pai	48.42%	1,055	1,124	2,179
Lion	48.41%	1,113	1,186	2,299
Jacky	48.24%	2,148	2,305	4,453
Vanessa	48.08%	750	810	1,560
Sarah	47.89%	1,135	1,235	2,370
Lau	47.74%	1,279	1,400	2,679
Brad	47.26%	1,087	1,213	2,300
Jean	46.40%	1,218	1,407	2,625
El Blaze	46.20%	771	898	1,669
Kage	45.59%	1,343	1,603	2,946
Eileen	42.41%	285	387	672

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
Dural54.6%	51	61	60	54	44	54	57	69	45	50
Akira50.0%	49	51	49	50	54	49	49	50	54	48
Lei Fei49.4%	43	46	48	44	52	51	48	51	53	52
Jeffry49.4%	50	53	49	48	51	49	45	48	46	49
Goh49.3%	52	51	50	55	47	43	48	49	49	49
Taka49.1%	56	59	47	52	42	43	46	53	51	40
Aoi48.9%	48	51	49	50	53	47	42	46	45	52
Shun48.5%	54	44	53	43	49	46	49	48	50	40
Pai48.4%	50	47	50	49	49	49	45	48	51	46
Lion48.4%	46	50	51	46	48	47	41	48	48	55
Jacky48.2%	51	48	47	47	49	52	51	44	48	49
Vanessa48.1%	46	53	52	44	42	46	45	51	48	50
Sarah47.9%	50	48	43	49	47	56	43	44	47	51
Lau47.7%	46	45	52	46	58	47	48	43	46	46
Brad47.3%	51	51	45	44	46	45	51	40	45	53
Jean46.4%	40	48	45	43	48	43	52	48	46	54
El Blaze46.2%	45	42	44	43	52	48	40	48	48	44
Kage45.6%	44	47	45	44	41	42	45	47	49	50
Eileen42.4%	44	50	42	47	32	42	34	44	44	45

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-0.5 pts behind walls (95% interval -1.7 to +0.7); within chance across the 20 characters tested, q=0.513

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
Dural54.6%	56	49
Akira50.0%	50	50
Lei Fei49.4%	48	52
Jeffry49.4%	49	50
Goh49.3%	51	46
Taka49.1%	52	42
Aoi48.9%	48	51
Shun48.5%	49	45
Pai48.4%	49	48
Lion48.4%	48	50
Jacky48.2%	48	50
Vanessa48.1%	49	46
Sarah47.9%	47	51
Lau47.7%	46	51
Brad47.3%	46	48
Jean46.4%	45	48
El Blaze46.2%	45	48
Kage45.6%	46	44
Eileen42.4%	45	39

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
Dural52.2%	49	55	56	55	48	52	53	57	46	50
Akira50.0%	49	51	49	50	52	49	49	51	52	49
Jeffry49.9%	51	51	50	49	52	50	47	48	48	49
Lei Fei49.8%	47	49	49	47	52	50	49	51	52	50
Pai49.7%	50	48	51	51	51	50	49	48	50	49
Goh49.6%	51	52	49	52	48	46	48	49	50	49
Aoi49.6%	50	51	50	50	52	49	47	48	48	51
Shun49.6%	52	48	54	47	50	48	49	50	50	45
Lion49.6%	48	50	51	48	49	50	46	49	50	53
Taka49.4%	50	55	50	52	45	46	50	50	50	44
Jacky49.1%	50	50	49	48	49	50	51	47	49	49
Vanessa48.8%	47	51	49	48	46	48	48	50	50	50
Sarah48.8%	50	49	47	48	48	54	47	47	48	51
Lau48.5%	47	48	50	47	53	49	49	46	48	48
Brad48.3%	50	51	48	47	48	46	50	44	48	50
Jean48.1%	45	49	48	47	49	47	49	49	47	52
El Blaze47.6%	47	45	48	44	51	49	43	49	49	46
Kage47.4%	47	48	47	48	45	46	46	48	47	50
Eileen46.1%	46	51	45	47	42	46	43	47	48	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-0.3 pts behind walls (95% interval -0.8 to +0.3); within chance across the 20 characters tested, q=0.455

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
Dural52.2%	53	50
Akira50.0%	50	50
Jeffry49.9%	50	50
Lei Fei49.8%	49	50
Pai49.7%	50	50
Goh49.6%	51	48
Aoi49.6%	49	51
Shun49.6%	50	48
Lion49.6%	49	50
Taka49.4%	51	45
Jacky49.1%	49	50
Vanessa48.8%	49	48
Sarah48.8%	48	51
Lau48.5%	48	50
Brad48.3%	48	48
Jean48.1%	47	49
El Blaze47.6%	47	48
Kage47.4%	48	47
Eileen46.1%	47	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	6.20%	5	33,443
South America	5.18%	9	5,818
North America	5.54%	7	4,197
Europe	3.52%	12	614
Middle East	3.27%	3	24
Oceania	0.00%	19	0
Not recorded	3.12%	14	1,137

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

Win rate48.2%

Standing#19 of 19 · tier D

Pick rate6.2%

Most picked#4 of 19

Matches counted38,942

Unique players301

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	54.22%	225	190	415
Akira	50.41%	2,310	2,272	4,582
Goh	49.53%	1,102	1,123	2,225
Lei Fei	49.42%	809	828	1,637
Shun	49.29%	971	999	1,970
Taka	49.11%	330	342	672
Jeffry	49.05%	1,234	1,282	2,516
Aoi	48.91%	899	939	1,838
Jacky	48.14%	1,977	2,130	4,107
Pai	47.83%	961	1,048	2,009
Sarah	47.72%	1,038	1,137	2,175
Lau	47.63%	1,106	1,216	2,322
Vanessa	47.51%	639	706	1,345
Lion	47.38%	957	1,063	2,020
Brad	47.20%	943	1,055	1,998
El Blaze	46.98%	693	782	1,475
Jean	46.23%	1,166	1,356	2,522
Kage	45.93%	1,173	1,381	2,554
Eileen	40.89%	229	331	560

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
Dural54.2%	51	61	60	53	41	54	52	68	46	50
Akira50.4%	49	51	49	50	54	49	51	50	54	48
Goh49.5%	53	51	49	55	46	44	47	49	50	49
Lei Fei49.4%	42	44	48	46	54	52	47	51	55	50
Shun49.3%	54	46	54	44	50	47	52	49	52	41
Taka49.1%	50	60	47	50	47	43	45	53	51	41
Jeffry49.0%	50	53	49	47	51	47	45	48	46	47
Aoi48.9%	48	51	49	50	54	46	43	46	45	52
Jacky48.1%	50	48	46	48	48	51	51	45	49	48
Pai47.8%	52	47	50	47	49	49	46	48	48	45
Sarah47.7%	50	46	43	48	48	57	43	44	47	51
Lau47.6%	45	47	53	45	58	46	46	44	46	47
Vanessa47.5%	44	51	51	42	43	49	49	50	46	51
Lion47.4%	42	49	50	45	46	44	41	47	49	54
Brad47.2%	52	50	46	45	46	43	51	41	44	54
El Blaze47.0%	46	43	47	43	53	47	40	49	50	45
Jean46.2%	39	48	45	43	48	42	52	48	46	54
Kage45.9%	45	46	45	43	42	41	48	48	50	50
Eileen40.9%	41	50	42	43	34	42	31	42	43	40

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-0.5 pts behind walls (95% interval -1.7 to +0.8); within chance across the 20 characters tested, q=0.738

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
Dural54.2%	56	48
Akira50.4%	51	50
Goh49.5%	51	47
Lei Fei49.4%	47	52
Shun49.3%	50	46
Taka49.1%	52	44
Jeffry49.0%	49	49
Aoi48.9%	48	51
Jacky48.1%	48	49
Pai47.8%	48	47
Sarah47.7%	46	52
Lau47.6%	47	50
Vanessa47.5%	47	47
Lion47.4%	47	48
Brad47.2%	46	48
El Blaze47.0%	46	48
Jean46.2%	45	48
Kage45.9%	46	44
Eileen40.9%	44	39

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
Dural52.1%	49	55	56	55	46	52	51	57	47	50
Akira50.3%	50	51	49	50	52	50	50	51	52	49
Shun49.9%	52	48	54	47	50	48	51	50	51	45
Lei Fei49.8%	46	48	49	48	52	51	48	50	53	49
Jeffry49.7%	51	51	50	49	51	49	47	48	48	49
Goh49.6%	51	52	49	52	48	47	47	49	51	49
Aoi49.6%	50	51	49	50	52	49	48	48	48	50
Pai49.4%	51	47	51	50	50	50	49	48	49	49
Taka49.4%	49	56	49	51	47	45	49	51	50	45
Jacky49.1%	50	50	49	49	49	50	51	48	49	49
Lion49.1%	47	50	51	47	48	48	45	49	51	53
Sarah48.8%	50	48	47	48	48	54	47	47	48	51
Vanessa48.6%	46	51	48	47	47	51	50	50	48	50
Brad48.3%	50	50	48	48	49	45	50	45	48	51
Lau48.3%	47	48	50	45	53	49	48	46	48	48
El Blaze48.1%	48	46	49	44	51	49	44	49	50	46
Jean48.0%	45	50	47	47	50	46	49	49	47	52
Kage47.7%	47	48	48	47	46	45	47	49	48	50
Eileen45.6%	45	51	45	45	44	45	41	46	48	45

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-0.3 pts behind walls (95% interval -0.9 to +0.3); within chance across the 20 characters tested, q=0.655

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
Dural52.1%	53	49
Akira50.3%	50	50
Shun49.9%	50	48
Lei Fei49.8%	49	51
Jeffry49.7%	50	50
Goh49.6%	51	48
Aoi49.6%	49	50
Pai49.4%	49	50
Taka49.4%	51	46
Jacky49.1%	49	50
Lion49.1%	49	50
Sarah48.8%	48	51
Vanessa48.6%	48	49
Brad48.3%	48	48
Lau48.3%	48	50
El Blaze48.1%	48	49
Jean48.0%	47	49
Kage47.7%	48	47
Eileen45.6%	47	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	6.81%	3	29,802
South America	5.19%	9	5,800
North America	5.79%	6	4,141
Europe	3.58%	11	525
Middle East	3.27%	3	24
Oceania	0.00%	19	0
Not recorded	3.23%	12	1,070

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

Win rate48.2%

Standing#13 of 19 · tier C

Pick rate3.4%

Most picked#13 of 19

Matches counted3,797

Unique players33

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	66.67%	10	5	15
Lion	55.91%	156	123	279
Jeffry	55.48%	86	69	155
Pai	55.29%	94	76	170
Vanessa	51.63%	111	104	215
Jean	50.49%	52	51	103
Eileen	50.00%	56	56	112
Sarah	49.74%	97	98	195
Lei Fei	49.64%	69	70	139
Jacky	49.42%	171	175	346
Taka	48.96%	47	49	96
Lau	48.46%	173	184	357
Aoi	48.33%	29	31	60
Brad	47.68%	144	158	302
Goh	45.37%	49	59	108
Akira	44.35%	157	197	354
Kage	43.37%	170	222	392
Shun	40.49%	83	122	205
El Blaze	40.21%	78	116	194

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
Dural66.7%	·	·	·	67	100	·	100	100	43	·
Lion55.9%	66	52	57	56	57	64	45	56	31	60
Jeffry55.5%	40	60	50	64	53	70	43	46	55	61
Pai55.3%	41	53	62	67	53	48	38	50	83	64
Vanessa51.6%	56	62	64	52	40	35	17	63	63	45
Jean50.5%	60	38	60	50	40	70	50	56	48	58
Eileen50.0%	62	50	43	64	14	38	44	50	50	70
Sarah49.7%	67	59	42	54	33	52	43	42	50	60
Lei Fei49.6%	54	75	45	36	22	22	100	57	44	65
Jacky49.4%	61	48	54	24	50	54	56	43	47	54
Taka49.0%	83	50	47	62	11	46	50	44	50	20
Lau48.5%	52	23	49	57	62	56	64	40	46	38
Aoi48.3%	45	50	75	50	17	60	0	38	·	75
Brad47.7%	45	54	42	39	48	57	50	35	53	48
Goh45.4%	31	44	60	50	64	20	60	57	47	40
Akira44.4%	40	43	47	44	54	47	29	42	53	44
Kage43.4%	35	54	43	52	35	47	27	40	37	49
Shun40.5%	52	14	48	36	38	41	29	48	32	31
El Blaze40.2%	40	36	25	38	47	50	40	42	42	42

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-0.9 pts behind walls (95% interval -4.8 to +3.0); within chance across the 20 characters tested, q=0.856

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
Dural66.7%	55	100
Lion55.9%	54	60
Jeffry55.5%	51	62
Pai55.3%	58	54
Vanessa51.6%	59	40
Jean50.5%	49	56
Eileen50.0%	53	43
Sarah49.7%	52	46
Lei Fei49.6%	49	43
Jacky49.4%	47	53
Taka49.0%	57	30
Lau48.5%	46	52
Aoi48.3%	48	52
Brad47.7%	45	51
Goh45.4%	47	39
Akira44.4%	45	48
Kage43.4%	43	44
Shun40.5%	41	37
El Blaze40.2%	37	46

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
Dural54.8%	·	·	·	54	86	·	75	60	41	·
Jeffry53.3%	49	55	49	59	57	62	48	48	50	54
Lion53.2%	58	50	56	51	54	59	50	51	42	54
Pai53.1%	44	52	52	60	54	49	48	51	69	55
Vanessa50.4%	53	54	56	51	46	36	32	55	59	49
Aoi50.2%	45	56	59	56	35	59	40	42	·	56
Lau50.1%	49	40	50	59	57	52	56	46	49	43
Lei Fei49.7%	53	61	43	43	41	40	75	57	47	58
Jean49.6%	57	40	59	52	46	55	50	52	46	56
Taka49.6%	57	50	52	60	26	50	54	47	50	33
Goh49.3%	47	53	56	46	56	38	55	59	47	48
Jacky49.1%	55	50	51	36	47	53	56	44	49	49
Eileen48.4%	55	55	42	54	20	46	50	49	49	54
Sarah48.3%	58	54	47	46	43	48	43	45	48	52
Brad47.8%	46	54	47	41	47	54	49	42	50	46
Akira47.3%	44	48	50	47	52	47	40	46	52	47
Shun47.0%	53	35	53	48	46	49	39	46	44	42
Kage45.8%	46	51	46	49	44	47	36	42	40	50
El Blaze44.1%	45	43	37	43	50	51	41	42	44	42

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-0.4 pts behind walls (95% interval -2.4 to +1.7); within chance across the 20 characters tested, q=0.761

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
Dural54.8%	47	86
Jeffry53.3%	51	57
Lion53.2%	52	56
Pai53.1%	54	52
Vanessa50.4%	54	44
Aoi50.2%	49	53
Lau50.1%	49	50
Lei Fei49.7%	49	48
Jean49.6%	49	52
Taka49.6%	53	40
Goh49.3%	50	46
Jacky49.1%	48	50
Eileen48.4%	50	43
Sarah48.3%	49	47
Brad47.8%	47	49
Akira47.3%	48	48
Shun47.0%	48	46
Kage45.8%	45	47
El Blaze44.1%	43	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	3.57%	14	3,641
North America	1.34%	15	56
Europe	3.23%	11	89
South America	3.18%	6	18
Not recorded	2.05%	11	67