Virtua Fighter 5 REVO · v1.10 · Every character

Akira

Mid and high combined73,960 matchesMid ranks64,360 matchesHigh ranks9,600 matches

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

Win rate49.3%

Standing#15 of 19 · tier C

Pick rate10.6%

Most picked#1 of 19

Matches counted73,960

Unique players448

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Shun	51.35%	2,088	1,978	4,066
Pai	51.18%	1,866	1,780	3,646
Brad	50.47%	2,055	2,017	4,072
Eileen	50.43%	644	633	1,277
Aoi	50.25%	1,700	1,683	3,383
Vanessa	50.19%	1,598	1,586	3,184
Jacky	50.02%	4,111	4,107	8,218
Wolf	50.02%	2,469	2,467	4,936
Sarah	49.54%	2,087	2,126	4,213
Goh	49.52%	2,268	2,312	4,580
Kage	48.67%	2,482	2,618	5,100
Jeffry	48.54%	2,288	2,426	4,714
Jean	48.48%	2,111	2,243	4,354
Dural	48.39%	451	481	932
Lau	48.18%	2,309	2,483	4,792
Lion	48.13%	2,206	2,377	4,583
Lei Fei	47.34%	1,644	1,829	3,473
El Blaze	47.29%	1,387	1,546	2,933
Taka	44.28%	666	838	1,504

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
Shun51.4%	49	51	52	53	52	49	51	50	57	52
Pai51.2%	52	50	54	49	49	49	60	49	53	52
Brad50.5%	52	52	54	44	51	49	49	51	53	50
Eileen50.4%	51	47	48	52	51	47	57	51	53	53
Aoi50.2%	58	50	47	51	50	50	44	53	54	47
Vanessa50.2%	45	48	53	51	47	51	48	54	48	54
Jacky50.0%	52	50	48	48	48	50	53	50	51	52
Wolf50.0%	51	49	51	50	46	51	51	50	46	52
Sarah49.5%	49	51	51	50	48	50	48	46	55	48
Goh49.5%	52	53	45	50	47	46	47	52	52	51
Kage48.7%	53	49	51	49	46	50	48	45	50	46
Jeffry48.5%	46	50	52	49	45	49	48	48	48	51
Jean48.5%	45	52	51	47	49	47	51	50	48	49
Dural48.4%	44	44	43	51	53	57	49	40	54	54
Lau48.2%	48	47	49	48	51	47	41	51	48	46
Lion48.1%	46	52	49	48	50	47	43	50	45	46
Lei Fei47.3%	50	48	47	46	45	50	45	46	45	50
El Blaze47.3%	45	44	49	49	48	43	50	49	51	46
Taka44.3%	50	45	41	40	45	38	42	48	45	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+0.8 pts behind walls (95% interval -0.1 to +1.7); within chance across the 20 characters tested, q=0.235

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
Shun51.4%	52	51
Pai51.2%	51	50
Brad50.5%	51	50
Eileen50.4%	50	51
Aoi50.2%	52	49
Vanessa50.2%	50	51
Jacky50.0%	50	50
Wolf50.0%	50	50
Sarah49.5%	50	49
Goh49.5%	51	48
Kage48.7%	49	47
Jeffry48.5%	49	48
Jean48.5%	49	48
Dural48.4%	46	55
Lau48.2%	49	48
Lion48.1%	48	47
Lei Fei47.3%	47	49
El Blaze47.3%	48	46
Taka44.3%	45	44

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
Shun51.9%	51	52	53	53	53	51	50	51	54	53
Pai50.5%	51	50	52	50	49	49	56	50	51	50
Brad50.3%	50	51	52	48	51	50	49	51	52	49
Aoi50.1%	54	51	48	51	50	49	47	51	52	48
Vanessa50.1%	49	49	51	50	49	51	48	52	49	52
Eileen50.0%	50	48	49	51	49	46	54	51	52	52
Wolf50.0%	51	49	51	50	48	51	51	49	48	51
Jacky49.8%	51	49	49	48	49	50	51	50	51	50
Goh49.5%	50	52	48	50	48	48	48	50	50	51
Sarah49.5%	49	50	51	49	49	50	49	49	52	49
Jean49.2%	48	50	51	47	49	48	50	50	49	50
Lion49.1%	48	51	49	49	50	49	46	50	48	48
Kage49.0%	51	49	49	49	48	50	48	47	50	48
Jeffry49.0%	48	50	50	49	47	49	48	49	49	50
Lau48.9%	49	49	49	48	51	48	45	50	49	48
Dural48.8%	47	46	47	49	52	53	49	44	53	50
Lei Fei48.4%	50	47	48	47	47	51	48	48	47	50
El Blaze48.0%	46	46	49	49	49	46	49	48	50	48
Taka46.9%	49	48	45	46	46	43	45	50	48	48

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 -0.2 to +0.7); within chance across the 20 characters tested, q=0.407

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
Shun51.9%	52	52
Pai50.5%	51	50
Brad50.3%	51	50
Aoi50.1%	51	49
Vanessa50.1%	50	51
Eileen50.0%	50	49
Wolf50.0%	50	50
Jacky49.8%	50	50
Goh49.5%	50	49
Sarah49.5%	50	49
Jean49.2%	49	49
Lion49.1%	49	49
Kage49.0%	49	49
Jeffry49.0%	49	49
Lau48.9%	49	49
Dural48.8%	47	52
Lei Fei48.4%	48	50
El Blaze48.0%	48	48
Taka46.9%	48	46

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	9.29%	2	50,127
South America	14.28%	1	16,029
North America	9.75%	1	7,388
Europe	17.98%	1	3,133
Middle East	53.27%	1	391
Oceania	0.00%	8	0
Not recorded	15.24%	2	5,548

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

Win rate48.9%

Standing#17 of 19 · tier C

Pick rate10.8%

Most picked#1 of 19

Matches counted64,360

Unique players422

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Pai	51.39%	1,685	1,594	3,279
Shun	50.86%	1,751	1,692	3,443
Aoi	50.48%	1,528	1,499	3,027
Brad	49.77%	1,707	1,723	3,430
Jacky	49.73%	3,550	3,588	7,138
Wolf	49.59%	2,272	2,310	4,582
Goh	49.46%	2,124	2,170	4,294
Eileen	49.05%	467	485	952
Sarah	48.94%	1,803	1,881	3,684
Vanessa	48.71%	1,225	1,290	2,515
Lau	48.63%	1,859	1,964	3,823
Dural	48.37%	429	458	887
Jean	48.36%	2,020	2,157	4,177
Jeffry	47.90%	2,123	2,309	4,432
Lion	47.89%	1,818	1,978	3,796
Kage	47.75%	2,004	2,193	4,197
El Blaze	47.33%	1,169	1,301	2,470
Lei Fei	47.19%	1,393	1,559	2,952
Taka	43.60%	559	723	1,282

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
Pai51.4%	53	50	54	51	49	49	59	48	53	52
Shun50.9%	48	50	51	53	51	51	50	49	57	52
Aoi50.5%	59	50	47	50	50	50	44	55	54	46
Brad49.8%	52	52	52	41	52	48	49	50	53	48
Jacky49.7%	50	49	48	48	48	51	53	49	51	52
Wolf49.6%	51	49	51	50	46	51	49	50	46	52
Goh49.5%	52	53	45	50	47	46	46	52	52	50
Eileen49.0%	47	49	50	52	52	43	54	51	50	50
Sarah48.9%	49	51	50	49	47	50	50	45	54	47
Vanessa48.7%	43	46	49	50	49	50	45	52	44	54
Lau48.6%	50	46	49	47	51	48	42	53	49	45
Dural48.4%	44	45	42	52	53	54	49	40	54	52
Jean48.4%	45	51	52	46	49	47	51	50	49	48
Jeffry47.9%	45	50	52	49	45	47	48	47	47	50
Lion47.9%	46	53	48	46	49	46	44	51	44	48
Kage47.8%	51	48	51	48	45	49	46	44	50	45
El Blaze47.3%	46	43	48	50	47	43	51	47	52	48
Lei Fei47.2%	52	49	46	45	44	50	40	47	45	50
Taka43.6%	49	43	42	41	43	37	38	47	45	48

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+0.7 pts behind walls (95% interval -0.3 to +1.6); within chance across the 20 characters tested, q=0.380

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
Pai51.4%	51	50
Shun50.9%	51	51
Aoi50.5%	53	49
Brad49.8%	50	49
Jacky49.7%	49	50
Wolf49.6%	49	50
Goh49.5%	51	48
Eileen49.0%	50	49
Sarah48.9%	50	48
Vanessa48.7%	48	51
Lau48.6%	49	48
Dural48.4%	46	53
Jean48.4%	49	48
Jeffry47.9%	48	47
Lion47.9%	48	47
Kage47.8%	49	46
El Blaze47.3%	48	46
Lei Fei47.2%	47	48
Taka43.6%	45	43

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
Shun51.4%	50	51	52	52	52	51	50	50	54	52
Pai50.6%	52	51	52	50	49	50	55	49	51	50
Aoi50.3%	54	52	49	50	50	49	47	52	52	48
Brad49.8%	50	51	51	46	51	50	50	50	51	48
Wolf49.7%	50	49	51	50	48	50	50	49	48	51
Jacky49.6%	50	48	49	48	49	50	50	50	51	51
Goh49.5%	50	52	48	50	48	47	47	51	50	51
Eileen49.3%	48	50	49	51	50	43	52	51	52	50
Vanessa49.3%	47	48	50	49	50	51	45	51	47	51
Lau49.2%	50	48	49	48	52	49	45	51	49	47
Sarah49.1%	49	50	50	48	48	49	50	48	51	48
Jean49.1%	48	50	51	47	49	48	50	50	50	50
Lion48.9%	48	51	49	48	50	48	46	51	47	49
Dural48.8%	47	47	47	49	52	52	49	44	53	49
Jeffry48.7%	47	50	50	49	47	48	48	48	49	50
Kage48.3%	50	48	49	48	48	49	47	46	50	47
Lei Fei48.2%	50	48	48	47	46	50	46	48	47	51
El Blaze48.1%	47	45	49	50	50	46	49	48	50	49
Taka46.8%	49	46	46	47	45	43	43	50	49	48

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 -0.2 to +0.7); within chance across the 20 characters tested, q=0.602

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
Shun51.4%	52	52
Pai50.6%	51	50
Aoi50.3%	51	49
Brad49.8%	50	50
Wolf49.7%	50	50
Jacky49.6%	49	50
Goh49.5%	50	49
Eileen49.3%	50	48
Vanessa49.3%	49	51
Lau49.2%	49	49
Sarah49.1%	49	48
Jean49.1%	49	49
Lion48.9%	49	49
Dural48.8%	48	51
Jeffry48.7%	49	48
Kage48.3%	49	48
Lei Fei48.2%	48	49
El Blaze48.1%	48	48
Taka46.8%	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	9.13%	2	39,925
South America	14.35%	1	16,029
North America	10.10%	1	7,228
Europe	20.94%	1	3,072
Middle East	53.27%	1	391
Oceania	0.00%	8	0
Not recorded	16.66%	1	5,523

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

Win rate51.5%

Standing#5 of 19 · tier A

Pick rate9.3%

Most picked#2 of 19

Matches counted9,600

Unique players61

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jeffry	58.51%	165	117	282
Vanessa	55.75%	373	296	669
Wolf	55.65%	197	157	354
Eileen	54.46%	177	148	325
Brad	54.21%	348	294	642
Shun	54.09%	337	286	623
Sarah	53.69%	284	245	529
Kage	52.93%	478	425	903
Jacky	51.94%	561	519	1,080
Jean	51.41%	91	86	177
Goh	50.35%	144	142	286
Pai	49.32%	181	186	367
Lion	49.30%	388	399	787
Dural	48.89%	22	23	45
Aoi	48.31%	172	184	356
Taka	48.20%	107	115	222
Lei Fei	48.18%	251	270	521
El Blaze	47.08%	218	245	463
Lau	46.44%	450	519	969

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
Jeffry58.5%	52	59	56	65	46	81	56	59	61	67
Vanessa55.8%	54	55	64	52	41	56	60	65	61	57
Wolf55.6%	60	57	53	56	46	53	71	58	47	56
Eileen54.5%	70	43	45	52	43	57	69	51	60	61
Brad54.2%	52	48	62	59	45	52	49	59	57	57
Shun54.1%	53	58	60	55	55	40	54	54	54	51
Sarah53.7%	50	50	55	55	61	56	33	52	62	51
Kage52.9%	65	56	50	54	48	55	59	48	48	54
Jacky51.9%	63	55	50	52	47	41	52	56	46	50
Jean51.4%	53	54	37	65	54	58	67	65	28	52
Goh50.4%	43	51	50	57	44	51	67	50	50	55
Pai49.3%	43	50	54	37	52	49	67	53	55	56
Lion49.3%	49	47	54	54	55	50	41	46	52	34
Dural48.9%	33	0	50	38	33	86	50	43	50	100
Aoi48.3%	48	47	47	70	48	50	44	38	50	50
Taka48.2%	53	62	40	35	57	54	53	52	44	53
Lei Fei48.2%	42	45	53	53	49	53	64	39	45	50
El Blaze47.1%	40	53	55	42	50	47	45	58	48	35
Lau46.4%	42	52	50	52	50	41	35	42	44	47

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+1.6 pts behind walls (95% interval -0.9 to +4.1); 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
Jeffry58.5%	58	61
Vanessa55.8%	59	51
Wolf55.6%	55	52
Eileen54.5%	52	55
Brad54.2%	56	52
Shun54.1%	55	50
Sarah53.7%	54	57
Kage52.9%	53	52
Jacky51.9%	54	46
Jean51.4%	50	54
Goh50.4%	51	51
Pai49.3%	48	52
Lion49.3%	50	47
Dural48.9%	37	77
Aoi48.3%	48	49
Taka48.2%	47	55
Lei Fei48.2%	46	51
El Blaze47.1%	49	45
Lau46.4%	47	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
Shun54.8%	52	57	56	53	58	48	53	53	54	56
Jeffry53.9%	49	52	53	57	49	72	49	56	52	60
Brad53.3%	53	50	55	56	50	52	48	57	56	54
Vanessa53.2%	54	51	58	52	45	51	56	56	55	55
Wolf52.7%	56	52	50	53	48	53	60	54	48	53
Sarah52.2%	52	48	54	53	55	53	42	51	56	53
Kage52.1%	57	55	49	53	48	53	56	51	51	52
Eileen51.9%	60	45	49	50	48	53	60	50	52	56
Jean51.2%	51	50	45	58	55	55	64	56	40	51
Jacky51.0%	57	51	50	49	52	46	51	54	49	49
Goh50.7%	49	51	51	52	47	53	62	48	48	56
Lion49.9%	49	51	52	52	52	53	47	47	51	40
Pai49.8%	49	48	53	44	47	49	63	54	55	51
Lei Fei49.5%	49	45	50	52	51	53	58	47	46	48
Aoi48.8%	51	47	46	59	46	49	50	43	51	51
Dural48.6%	46	25	50	41	42	72	44	44	47	69
Lau47.8%	46	51	50	48	50	46	42	45	48	48
Taka47.5%	49	58	42	40	50	48	53	49	42	49
El Blaze47.4%	44	52	51	44	48	50	47	52	47	43

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 -0.9 to +1.7); 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
Shun54.8%	54	54
Jeffry53.9%	53	58
Brad53.3%	54	52
Vanessa53.2%	55	50
Wolf52.7%	52	52
Sarah52.2%	53	54
Kage52.1%	52	51
Eileen51.9%	51	53
Jean51.2%	50	53
Jacky51.0%	52	49
Goh50.7%	50	52
Lion49.9%	50	49
Pai49.8%	50	49
Lei Fei49.5%	48	51
Aoi48.8%	49	48
Dural48.6%	43	64
Lau47.8%	48	48
Taka47.5%	46	49
El Blaze47.4%	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	10.00%	2	10,202
North America	3.81%	10	160
Europe	2.21%	15	61
South America	0.00%	11	0
Not recorded	0.77%	18	25