Virtua Fighter 5 REVO · v1.10 · Every character

El Blaze

Mid and high combined28,590 matchesMid ranks23,146 matchesHigh ranks5,444 matches

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

Win rate51.7%

Standing#3 of 19 · tier A

Pick rate3.8%

Most picked#17 of 19

Matches counted28,590

Unique players248

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jean	56.81%	755	574	1,329
Vanessa	54.77%	551	455	1,006
Goh	53.97%	924	788	1,712
Wolf	53.80%	898	771	1,669
Jacky	53.76%	1,509	1,298	2,807
Akira	52.71%	1,546	1,387	2,933
Lei Fei	51.75%	667	622	1,289
Sarah	51.61%	867	813	1,680
Eileen	51.41%	274	259	533
Aoi	51.15%	579	553	1,132
Brad	51.09%	750	718	1,468
Lau	50.39%	1,112	1,095	2,207
Shun	50.22%	786	779	1,565
Dural	50.16%	155	154	309
Lion	50.07%	761	759	1,520
Jeffry	49.53%	738	752	1,490
Pai	48.90%	710	742	1,452
Kage	48.42%	963	1,026	1,989
Taka	47.20%	236	264	500

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
Jean56.8%	60	57	52	53	61	54	70	59	57	54
Vanessa54.8%	52	59	53	55	57	53	64	53	56	56
Goh54.0%	54	58	49	55	49	57	55	57	52	56
Wolf53.8%	55	58	56	57	48	52	60	52	52	56
Jacky53.8%	51	55	58	55	49	59	53	54	54	51
Akira52.7%	55	56	51	51	52	57	50	51	49	54
Lei Fei51.8%	56	49	50	51	53	51	57	54	56	53
Sarah51.6%	47	53	57	51	53	54	54	49	48	52
Eileen51.4%	44	42	55	62	55	53	41	47	61	39
Aoi51.1%	60	41	38	40	56	52	57	53	53	58
Brad51.1%	51	49	50	45	53	53	44	51	62	48
Lau50.4%	50	48	45	47	50	52	53	55	54	50
Shun50.2%	48	55	47	50	54	57	49	44	48	49
Dural50.2%	53	39	53	56	50	40	57	39	56	58
Lion50.1%	52	45	53	54	49	44	52	52	55	46
Jeffry49.5%	51	47	47	53	52	50	46	49	50	54
Pai48.9%	46	52	49	44	50	49	49	50	52	51
Kage48.4%	45	51	45	49	46	52	46	47	51	53
Taka47.2%	49	51	41	26	36	53	30	51	52	58

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 -2.3 to +0.6); within chance across the 20 characters tested, q=0.375

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
Jean56.8%	56	57
Vanessa54.8%	54	56
Goh54.0%	54	54
Wolf53.8%	55	52
Jacky53.8%	55	53
Akira52.7%	52	54
Lei Fei51.8%	52	52
Sarah51.6%	51	53
Eileen51.4%	52	50
Aoi51.1%	48	56
Brad51.1%	51	52
Lau50.4%	50	51
Shun50.2%	49	53
Dural50.2%	51	49
Lion50.1%	52	46
Jeffry49.5%	50	52
Pai48.9%	49	50
Kage48.4%	48	50
Taka47.2%	45	51

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
Jean53.5%	55	53	50	52	57	51	60	54	53	54
Vanessa52.6%	51	56	53	51	54	53	58	52	51	54
Wolf52.4%	53	55	52	56	49	51	57	51	51	54
Jacky52.2%	51	53	54	53	51	55	52	52	52	51
Akira52.0%	54	54	51	51	51	54	51	52	50	52
Goh51.8%	51	53	50	51	49	53	54	53	52	55
Eileen51.4%	51	46	53	57	52	50	46	49	55	48
Shun51.0%	50	53	51	50	53	53	51	48	50	50
Lei Fei50.9%	54	48	51	50	53	51	51	52	53	51
Sarah50.8%	49	53	54	50	52	52	52	50	48	50
Brad50.8%	51	50	49	49	51	52	47	50	57	48
Aoi50.7%	55	46	44	46	54	50	55	52	51	53
Lau50.3%	50	50	47	49	50	52	52	52	52	50
Jeffry50.1%	51	49	49	51	52	50	47	49	51	52
Dural50.1%	52	45	50	52	53	45	54	47	51	52
Lion49.9%	51	48	51	53	47	47	50	51	52	49
Kage49.5%	48	52	49	49	48	50	50	48	50	52
Pai49.4%	49	52	49	46	50	49	50	49	50	50
Taka48.6%	47	49	46	40	46	51	44	49	52	55

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 -1.1 to +0.3); within chance across the 20 characters tested, q=0.418

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
Jean53.5%	53	54
Vanessa52.6%	52	54
Wolf52.4%	53	52
Jacky52.2%	52	52
Akira52.0%	52	52
Goh51.8%	52	52
Eileen51.4%	52	50
Shun51.0%	50	52
Lei Fei50.9%	51	52
Sarah50.8%	51	51
Brad50.8%	51	51
Aoi50.7%	49	52
Lau50.3%	50	51
Jeffry50.1%	50	52
Dural50.1%	50	50
Lion49.9%	51	48
Kage49.5%	49	50
Pai49.4%	49	50
Taka48.6%	47	52

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	3.99%	15	21,533
South America	1.80%	18	2,025
North America	5.67%	6	4,291
Europe	3.28%	13	572
Middle East	0.00%	11	0
Oceania	0.00%	10	0
Not recorded	3.49%	11	1,271

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

Win rate51.3%

Standing#5 of 19 · tier A

Pick rate3.6%

Most picked#16 of 19

Matches counted23,146

Unique players231

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jean	56.09%	686	537	1,223
Goh	53.47%	801	697	1,498
Jacky	53.42%	1,243	1,084	2,327
Wolf	53.02%	782	693	1,475
Lei Fei	52.79%	520	465	985
Akira	52.67%	1,301	1,169	2,470
Aoi	52.27%	519	474	993
Vanessa	51.88%	400	371	771
Lau	50.63%	721	703	1,424
Brad	50.33%	602	594	1,196
Dural	50.18%	136	135	271
Lion	49.95%	529	530	1,059
Taka	49.88%	204	205	409
Shun	49.79%	590	595	1,185
Sarah	49.73%	655	662	1,317
Pai	49.16%	613	634	1,247
Jeffry	49.01%	666	693	1,359
Eileen	47.76%	181	198	379
Kage	46.85%	730	828	1,558

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
Jean56.1%	60	59	49	53	59	54	67	56	58	53
Goh53.5%	51	57	50	55	48	56	54	58	52	57
Jacky53.4%	52	56	56	56	45	59	53	54	55	50
Wolf53.0%	54	57	53	57	47	53	60	51	50	55
Lei Fei52.8%	58	50	50	55	53	54	51	58	56	52
Akira52.7%	54	57	52	50	53	57	49	53	48	52
Aoi52.3%	60	42	42	43	58	55	54	51	54	59
Vanessa51.9%	49	58	44	51	56	52	71	50	53	48
Lau50.6%	49	45	47	47	49	60	53	57	53	49
Brad50.3%	50	49	47	47	52	54	43	49	60	49
Dural50.2%	48	40	50	53	52	39	57	40	60	60
Lion50.0%	51	46	58	53	45	48	48	54	54	42
Taka49.9%	58	52	46	25	32	53	32	59	59	58
Shun49.8%	51	52	42	50	54	58	49	44	48	48
Sarah49.7%	49	51	59	50	48	50	50	49	47	45
Pai49.2%	43	49	47	46	50	50	52	52	53	52
Jeffry49.0%	50	49	47	53	51	48	43	46	50	55
Eileen47.8%	43	36	56	60	51	50	33	46	56	38
Kage46.9%	43	49	44	47	44	50	49	45	50	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-0.5 pts behind walls (95% interval -2.1 to +1.1); within chance across the 20 characters tested, q=0.799

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
Jean56.1%	56	56
Goh53.5%	54	53
Jacky53.4%	55	52
Wolf53.0%	54	52
Lei Fei52.8%	55	53
Akira52.7%	52	54
Aoi52.3%	49	57
Vanessa51.9%	51	53
Lau50.6%	50	52
Brad50.3%	50	52
Dural50.2%	50	49
Lion50.0%	53	45
Taka49.9%	50	51
Shun49.8%	48	53
Sarah49.7%	51	48
Pai49.2%	49	51
Jeffry49.0%	49	51
Eileen47.8%	49	47
Kage46.9%	47	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
Jean53.2%	55	54	49	52	56	51	59	53	53	53
Jacky52.2%	51	54	53	54	49	55	52	52	52	51
Akira51.9%	53	55	51	50	50	54	51	52	50	51
Wolf51.9%	52	54	51	56	49	51	56	51	50	54
Aoi51.7%	56	47	46	49	55	52	56	52	52	53
Goh51.6%	50	52	51	51	49	52	54	54	52	55
Lei Fei51.4%	55	49	50	52	53	52	49	53	53	52
Vanessa51.2%	50	55	48	49	54	52	60	51	49	51
Shun51.2%	52	53	49	51	52	54	51	48	50	51
Brad50.5%	50	52	48	50	50	52	46	49	58	48
Taka50.5%	52	51	48	41	44	52	44	54	55	55
Lau50.2%	49	48	48	49	49	54	51	52	52	50
Eileen49.9%	49	44	53	57	51	49	42	50	52	48
Jeffry49.9%	51	50	48	51	52	49	47	48	50	53
Dural49.9%	49	45	49	51	54	44	54	48	54	53
Sarah49.6%	50	52	54	50	49	49	50	49	48	46
Lion49.6%	51	48	53	53	45	48	48	51	51	47
Pai49.3%	48	51	47	47	50	49	52	49	51	51
Kage48.5%	47	51	48	48	47	49	51	47	49	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 -0.9 to +0.7); within chance across the 20 characters tested, q=0.939

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
Jean53.2%	53	53
Jacky52.2%	53	52
Akira51.9%	52	52
Wolf51.9%	52	51
Aoi51.7%	50	53
Goh51.6%	52	52
Lei Fei51.4%	52	52
Vanessa51.2%	50	52
Shun51.2%	51	52
Brad50.5%	51	50
Taka50.5%	50	52
Lau50.2%	50	51
Eileen49.9%	51	49
Jeffry49.9%	50	51
Dural49.9%	49	50
Sarah49.6%	50	48
Lion49.6%	51	47
Pai49.3%	49	50
Kage48.5%	48	49

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	3.84%	16	16,801
South America	1.81%	18	2,025
North America	5.55%	7	3,973
Europe	1.17%	18	172
Middle East	0.00%	11	0
Oceania	0.00%	10	0
Not recorded	3.16%	13	1,049

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

Win rate53.3%

Standing#4 of 19 · tier A

Pick rate5.0%

Most picked#9 of 19

Matches counted5,444

Unique players40

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jean	65.09%	69	37	106
Vanessa	64.26%	151	84	235
Eileen	60.39%	93	61	154
Wolf	59.79%	116	78	194
Sarah	58.40%	212	151	363
Goh	57.48%	123	91	214
Jacky	55.42%	266	214	480
Jeffry	54.96%	72	59	131
Brad	54.41%	148	124	272
Kage	54.06%	233	198	431
Akira	52.92%	245	218	463
Shun	51.58%	196	184	380
Lion	50.33%	232	229	461
Dural	50.00%	19	19	38
Lau	49.94%	391	392	783
Lei Fei	48.36%	147	157	304
Pai	47.32%	97	108	205
Aoi	43.17%	60	79	139
Taka	35.16%	32	59	91

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
Jean65.1%	60	40	76	44	82	56	100	74	33	71
Vanessa64.3%	64	60	77	68	59	57	36	64	67	79
Eileen60.4%	50	57	50	68	67	71	56	47	71	43
Wolf59.8%	60	64	75	62	53	50	60	58	58	58
Sarah58.4%	37	59	50	57	67	75	64	48	54	67
Goh57.5%	66	61	41	56	64	72	67	52	50	51
Jacky55.4%	47	51	71	52	70	55	55	50	53	54
Jeffry55.0%	59	27	50	50	59	78	80	75	57	38
Brad54.4%	52	50	62	38	62	50	50	67	69	44
Kage54.1%	50	57	52	52	51	58	39	52	58	69
Akira52.9%	60	47	45	58	50	53	55	42	52	65
Shun51.6%	40	63	61	46	57	55	50	44	48	50
Lion50.3%	54	42	43	54	57	36	62	48	57	59
Dural50.0%	80	33	100	100	33	50	·	33	33	50
Lau49.9%	52	56	42	45	53	39	54	51	56	52
Lei Fei48.4%	50	44	50	38	50	46	100	44	56	56
Pai47.3%	62	61	55	33	50	44	40	40	30	38
Aoi43.2%	58	38	21	10	50	41	67	80	25	40
Taka35.2%	15	50	17	30	50	50	0	29	22	57

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-2.4 pts behind walls (95% interval -5.7 to +0.8); 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
Jean65.1%	60	70
Vanessa64.3%	68	63
Eileen60.4%	59	58
Wolf59.8%	63	54
Sarah58.4%	52	68
Goh57.5%	56	59
Jacky55.4%	54	60
Jeffry55.0%	54	59
Brad54.4%	57	51
Kage54.1%	53	58
Akira52.9%	51	55
Shun51.6%	50	54
Lion50.3%	50	51
Dural50.0%	57	47
Lau49.9%	51	48
Lei Fei48.4%	46	50
Pai47.3%	50	43
Aoi43.2%	39	45
Taka35.2%	27	54

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
Vanessa57.2%	58	57	66	56	55	55	50	56	57	64
Jean56.1%	51	43	62	47	71	52	71	55	42	63
Wolf55.9%	55	57	63	57	50	49	59	58	56	58
Eileen55.1%	58	53	54	58	55	59	52	48	61	47
Sarah55.1%	44	56	52	52	59	66	58	55	50	58
Goh53.0%	60	54	45	48	54	58	54	49	51	53
Kage52.9%	52	52	53	52	53	55	48	51	55	60
Akira52.6%	56	48	49	56	52	50	53	48	53	57
Jeffry52.2%	52	39	51	52	55	66	54	58	56	45
Jacky52.1%	48	48	59	50	60	53	52	50	51	53
Brad51.8%	57	46	54	46	58	52	48	55	55	46
Dural51.3%	76	45	60	75	50	53	·	47	41	50
Lion50.5%	51	47	47	53	51	45	55	51	54	56
Lau50.5%	51	55	46	50	52	47	52	50	52	50
Shun50.3%	44	54	57	46	55	52	50	48	49	46
Pai49.6%	58	55	55	43	52	46	45	47	40	44
Lei Fei49.1%	52	44	53	43	53	48	67	49	51	50
Aoi43.8%	55	44	35	22	46	43	51	57	23	43
Taka39.7%	27	41	38	35	52	45	40	35	34	54

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-1.5 pts behind walls (95% interval -3.2 to +0.2); within chance across the 20 characters tested, q=0.383

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
Vanessa57.2%	59	57
Jean56.1%	52	62
Wolf55.9%	57	53
Eileen55.1%	55	53
Sarah55.1%	52	60
Goh53.0%	52	55
Kage52.9%	52	55
Akira52.6%	52	53
Jeffry52.2%	52	56
Jacky52.1%	51	55
Brad51.8%	52	52
Dural51.3%	55	51
Lion50.5%	51	51
Lau50.5%	51	50
Shun50.3%	50	51
Pai49.6%	51	47
Lei Fei49.1%	48	50
Aoi43.8%	42	45
Taka39.7%	34	51

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	4.64%	10	4,732
North America	7.58%	4	318
Europe	14.51%	1	400
South America	0.00%	13	0
Not recorded	6.80%	7	222