Virtua Fighter 5 REVO · v1.10 · Every character

Jean

Mid and high combined38,434 matchesMid ranks36,022 matchesHigh ranks2,412 matches

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

Win rate49.3%

Standing#14 of 19 · tier C

Pick rate5.2%

Most picked#11 of 19

Matches counted38,434

Unique players300

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	53.60%	1,407	1,218	2,625
Taka	53.42%	344	300	644
Goh	51.88%	1,254	1,163	2,417
Akira	51.52%	2,243	2,111	4,354
Vanessa	50.76%	833	808	1,641
Shun	50.41%	854	840	1,694
Pai	49.61%	881	895	1,776
Jacky	49.55%	1,862	1,896	3,758
Kage	49.22%	1,360	1,403	2,763
Aoi	48.72%	743	782	1,525
Brad	48.63%	1,032	1,090	2,122
Lion	48.07%	1,056	1,141	2,197
Lei Fei	47.71%	783	858	1,641
Jeffry	47.49%	1,118	1,236	2,354
Sarah	47.42%	993	1,101	2,094
Dural	47.06%	200	225	425
Lau	45.72%	1,149	1,364	2,513
Eileen	45.02%	253	309	562
El Blaze	43.19%	574	755	1,329

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
Wolf53.6%	60	52	55	57	52	57	48	52	54	46
Taka53.4%	52	44	55	51	60	58	48	71	47	54
Goh51.9%	49	45	57	50	54	52	49	57	52	47
Akira51.5%	55	48	49	53	51	53	49	50	52	51
Vanessa50.8%	46	49	52	52	50	51	47	55	54	50
Shun50.4%	51	48	50	51	53	45	50	54	52	50
Pai49.6%	52	51	51	51	55	46	47	46	48	49
Jacky49.5%	49	50	48	49	47	49	53	48	48	54
Kage49.2%	49	58	47	51	45	46	47	47	50	54
Aoi48.7%	47	43	56	51	54	49	50	46	43	46
Brad48.6%	48	46	47	46	49	52	50	50	47	52
Lion48.1%	51	52	50	46	43	48	53	43	49	48
Lei Fei47.7%	48	48	48	55	45	51	47	46	47	47
Jeffry47.5%	48	44	48	51	46	43	54	47	44	50
Sarah47.4%	44	52	45	44	48	49	41	48	51	47
Dural47.1%	47	39	55	36	52	47	48	41	56	50
Lau45.7%	54	41	47	42	51	45	44	44	42	45
Eileen45.0%	54	48	47	58	38	43	51	51	28	25
El Blaze43.2%	40	43	48	47	39	46	30	41	43	46

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 -1.1 to +1.4); 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
Wolf53.6%	55	52
Taka53.4%	52	57
Goh51.9%	52	51
Akira51.5%	51	52
Vanessa50.8%	51	50
Shun50.4%	51	49
Pai49.6%	50	50
Jacky49.5%	49	50
Kage49.2%	50	48
Aoi48.7%	48	50
Brad48.6%	47	51
Lion48.1%	49	46
Lei Fei47.7%	49	48
Jeffry47.5%	47	47
Sarah47.4%	47	48
Dural47.1%	46	50
Lau45.7%	45	47
Eileen45.0%	49	35
El Blaze43.2%	44	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
Taka52.6%	53	48	51	53	54	55	49	61	51	53
Wolf51.9%	55	51	52	53	51	53	51	51	53	48
Goh51.3%	50	49	53	50	52	51	50	54	51	49
Akira50.8%	52	50	49	53	51	52	50	50	51	50
Shun50.7%	51	49	50	51	51	47	50	51	53	53
Vanessa50.2%	49	50	51	51	50	50	48	51	52	50
Jacky50.1%	50	51	50	49	48	50	52	50	49	52
Kage49.5%	50	55	48	51	48	48	48	48	50	51
Pai49.5%	51	51	50	49	52	48	48	48	49	49
Brad49.4%	48	49	48	49	48	50	50	50	49	52
Aoi49.1%	47	47	53	49	52	49	50	49	47	48
Lion48.9%	51	51	50	48	46	49	51	46	50	50
Sarah48.7%	46	50	48	48	49	49	45	50	50	50
Jeffry48.5%	48	46	49	51	48	47	51	48	48	49
Dural48.5%	49	45	52	44	49	50	48	43	54	50
Lei Fei48.4%	49	47	51	52	47	49	48	48	48	48
Lau47.5%	51	46	48	46	50	47	46	47	46	46
El Blaze46.5%	45	47	50	48	43	49	40	46	47	46
Eileen46.0%	50	47	46	52	43	47	49	51	36	34

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 -0.3 to +0.9); 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
Taka52.6%	52	54
Wolf51.9%	53	51
Goh51.3%	51	51
Akira50.8%	51	51
Shun50.7%	51	50
Vanessa50.2%	50	50
Jacky50.1%	50	50
Kage49.5%	50	49
Pai49.5%	50	50
Brad49.4%	49	50
Aoi49.1%	49	50
Lion48.9%	49	48
Sarah48.7%	49	49
Jeffry48.5%	48	48
Dural48.5%	48	50
Lei Fei48.4%	49	48
Lau47.5%	47	48
El Blaze46.5%	47	46
Eileen46.0%	48	41

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	4.93%	11	26,608
South America	7.77%	3	8,720
North America	4.19%	13	3,171
Europe	3.63%	11	633
Middle East	0.41%	7	3
Oceania	0.00%	13	0
Not recorded	3.17%	13	1,153

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

Win rate49.5%

Standing#13 of 19 · tier C

Pick rate5.7%

Most picked#8 of 19

Matches counted36,022

Unique players276

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	53.77%	1,356	1,166	2,522
Goh	52.00%	1,207	1,114	2,321
Akira	51.64%	2,157	2,020	4,177
Taka	51.47%	280	264	544
Shun	50.66%	808	787	1,595
Vanessa	50.03%	744	743	1,487
Jacky	49.72%	1,770	1,790	3,560
Pai	49.49%	830	847	1,677
Aoi	49.08%	721	748	1,469
Eileen	49.02%	224	233	457
Kage	48.91%	1,255	1,311	2,566
Lei Fei	48.80%	731	767	1,498
Brad	48.44%	976	1,039	2,015
Lion	47.77%	944	1,032	1,976
Dural	47.46%	196	217	413
Jeffry	47.39%	1,073	1,191	2,264
Sarah	47.36%	958	1,065	2,023
Lau	47.16%	1,054	1,181	2,235
El Blaze	43.91%	537	686	1,223

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
Wolf53.8%	61	52	55	57	52	58	48	52	54	46
Goh52.0%	49	44	57	51	55	51	48	58	52	48
Akira51.6%	55	49	48	54	51	53	49	50	51	52
Taka51.5%	50	44	56	44	59	56	48	71	46	48
Shun50.7%	52	46	51	52	54	44	52	54	52	49
Vanessa50.0%	46	48	51	51	48	50	47	54	52	50
Jacky49.7%	49	51	48	50	47	47	54	48	49	54
Pai49.5%	51	52	51	51	55	47	47	46	47	48
Aoi49.1%	46	43	57	50	55	51	50	46	43	48
Eileen49.0%	55	54	54	61	41	50	54	52	27	25
Kage48.9%	47	58	47	49	44	45	46	47	50	54
Lei Fei48.8%	48	50	49	57	47	51	49	49	47	48
Brad48.4%	49	46	46	47	50	51	50	49	46	52
Lion47.8%	52	52	49	47	43	46	51	42	50	47
Dural47.5%	47	39	55	39	51	47	48	41	55	52
Jeffry47.4%	47	43	49	50	46	44	54	48	43	50
Sarah47.4%	44	52	44	44	48	48	42	48	51	47
Lau47.2%	55	43	50	45	52	45	46	45	42	48
El Blaze43.9%	40	41	51	47	41	46	33	44	42	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+0.2 pts behind walls (95% interval -1.1 to +1.5); within chance across the 20 characters tested, q=0.841

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
Wolf53.8%	55	52
Goh52.0%	52	51
Akira51.6%	51	52
Taka51.5%	51	54
Shun50.7%	51	49
Vanessa50.0%	50	49
Jacky49.7%	49	50
Pai49.5%	50	50
Aoi49.1%	48	51
Eileen49.0%	52	40
Kage48.9%	50	48
Lei Fei48.8%	50	49
Brad48.4%	47	51
Lion47.8%	49	45
Dural47.5%	47	50
Jeffry47.4%	47	47
Sarah47.4%	47	48
Lau47.2%	47	48
El Blaze43.9%	44	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
Wolf52.0%	55	50	53	53	50	54	51	51	53	48
Goh51.4%	50	48	53	50	52	51	50	55	51	50
Akira50.9%	52	50	49	53	51	52	50	50	50	50
Shun50.9%	51	49	50	51	52	48	51	51	53	53
Taka50.9%	51	47	52	47	52	54	49	60	50	48
Jacky50.1%	50	51	50	50	48	49	53	50	49	52
Vanessa49.8%	49	49	49	50	49	50	48	51	51	50
Aoi49.4%	47	47	53	49	52	50	50	49	47	49
Pai49.4%	50	51	50	50	52	48	48	48	48	48
Kage49.3%	49	55	48	50	48	47	47	48	50	51
Brad49.3%	48	49	47	49	49	50	50	50	49	52
Lei Fei49.1%	49	48	51	53	49	49	49	49	48	49
Eileen49.0%	51	51	50	55	46	52	51	51	36	39
Dural48.8%	49	45	52	46	48	50	48	43	53	52
Lion48.7%	52	50	49	48	46	48	50	45	50	49
Sarah48.6%	46	50	48	47	49	49	45	50	51	49
Jeffry48.5%	48	46	50	50	48	47	52	48	47	50
Lau48.2%	52	48	48	48	50	47	47	47	46	48
El Blaze46.8%	45	46	51	48	44	49	41	47	47	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+0.2 pts behind walls (95% interval -0.4 to +0.9); within chance across the 20 characters tested, q=0.711

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
Wolf52.0%	53	51
Goh51.4%	52	51
Akira50.9%	51	51
Shun50.9%	51	51
Taka50.9%	51	51
Jacky50.1%	50	50
Vanessa49.8%	50	50
Aoi49.4%	49	51
Pai49.4%	49	50
Kage49.3%	50	49
Brad49.3%	49	50
Lei Fei49.1%	49	49
Eileen49.0%	50	46
Dural48.8%	48	50
Lion48.7%	49	48
Sarah48.6%	49	49
Jeffry48.5%	48	48
Lau48.2%	48	48
El Blaze46.8%	47	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	5.57%	8	24,379
South America	7.80%	3	8,714
North America	4.27%	12	3,057
Europe	4.14%	10	608
Middle East	0.41%	7	3
Oceania	0.00%	13	0
Not recorded	3.25%	11	1,077

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

Win rate46.4%

Standing#17 of 19 · tier C

Pick rate2.2%

Most picked#19 of 19

Matches counted2,412

Unique players41

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Taka	64.00%	64	36	100
Vanessa	57.79%	89	65	154
Kage	53.30%	105	92	197
Brad	52.34%	56	51	107
Pai	51.52%	51	48	99
Lion	50.68%	112	109	221
Jeffry	50.00%	45	45	90
Wolf	49.51%	51	52	103
Sarah	49.30%	35	36	71
Goh	48.96%	47	49	96
Akira	48.59%	86	91	177
Jacky	46.46%	92	106	198
Shun	46.46%	46	53	99
Aoi	39.29%	22	34	56
Lei Fei	36.36%	52	91	143
El Blaze	34.91%	37	69	106
Lau	34.17%	95	183	278
Dural	33.33%	4	8	12
Eileen	27.62%	29	76	105

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
Taka64.0%	67	44	44	92	62	71	·	75	60	100
Vanessa57.8%	40	61	64	57	69	55	·	59	71	53
Kage53.3%	74	62	48	63	52	55	62	33	41	50
Brad52.3%	33	38	67	33	25	60	33	67	75	57
Pai51.5%	58	33	50	45	60	17	50	38	80	69
Lion50.7%	38	50	58	42	41	64	83	53	45	60
Jeffry50.0%	73	67	38	100	44	29	50	42	53	44
Wolf49.5%	40	62	40	50	60	30	50	44	52	42
Sarah49.3%	50	55	71	45	100	80	0	46	29	50
Goh49.0%	54	80	54	39	33	100	100	43	33	38
Akira48.6%	47	46	63	35	46	42	33	35	72	48
Jacky46.5%	38	48	45	37	50	72	0	50	33	50
Shun46.5%	30	67	38	46	0	56	29	43	56	57
Aoi39.3%	62	60	33	67	33	22	·	·	25	0
Lei Fei36.4%	57	30	42	40	30	46	33	17	47	30
El Blaze34.9%	40	60	24	56	18	44	0	26	67	29
Lau34.2%	36	28	33	29	47	44	36	29	38	30
Dural33.3%	·	33	·	0	67	·	·	·	100	0
Eileen27.6%	50	22	14	45	22	0	0	50	29	25

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 -5.2 to +4.3); 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
Taka64.0%	59	74
Vanessa57.8%	59	59
Kage53.3%	54	53
Brad52.3%	52	53
Pai51.5%	50	56
Lion50.7%	47	52
Jeffry50.0%	56	40
Wolf49.5%	51	44
Sarah49.3%	49	67
Goh49.0%	48	45
Akira48.6%	50	46
Jacky46.5%	42	58
Shun46.5%	48	45
Aoi39.3%	53	20
Lei Fei36.4%	38	35
El Blaze34.9%	40	30
Lau34.2%	32	40
Dural33.3%	29	40
Eileen27.6%	34	20

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
Taka62.8%	67	51	49	85	60	63	·	69	59	96
Vanessa54.4%	47	56	62	54	56	50	·	53	64	51
Kage52.3%	63	58	48	56	50	55	56	44	47	50
Pai51.8%	54	50	54	46	52	33	50	45	64	59
Brad51.5%	44	44	54	41	41	56	38	61	64	53
Wolf50.4%	43	60	41	48	54	45	50	48	54	44
Lion50.3%	43	51	54	46	46	56	63	54	47	56
Goh49.8%	52	67	53	46	39	82	60	45	50	42
Sarah49.5%	57	48	57	52	60	71	40	46	41	54
Jeffry49.5%	58	58	43	81	44	38	44	45	56	43
Jacky49.1%	47	51	48	47	49	63	25	52	37	50
Akira48.8%	49	50	55	42	45	45	36	44	60	49
Shun48.3%	44	56	43	45	20	46	41	50	54	55
El Blaze43.9%	49	57	38	53	29	48	29	45	58	37
Aoi42.8%	52	48	39	54	43	35	·	·	38	21
Lau41.3%	41	35	44	38	49	46	38	40	44	37
Lei Fei41.3%	52	38	46	43	36	45	37	38	44	38
Dural35.6%	·	40	·	18	50	·	·	·	60	14
Eileen31.3%	48	31	26	37	25	5	0	53	38	25

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+1.1 pts behind walls (95% interval -1.4 to +3.7); 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
Taka62.8%	60	68
Vanessa54.4%	56	52
Kage52.3%	53	52
Pai51.8%	52	52
Brad51.5%	51	52
Wolf50.4%	51	48
Lion50.3%	49	51
Goh49.8%	50	47
Sarah49.5%	49	60
Jeffry49.5%	53	42
Jacky49.1%	47	54
Akira48.8%	50	47
Shun48.3%	49	45
El Blaze43.9%	48	38
Aoi42.8%	48	35
Lau41.3%	40	44
Lei Fei41.3%	43	39
Dural35.6%	35	37
Eileen31.3%	38	22

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	2.19%	19	2,229
North America	2.72%	12	114
Europe	0.91%	17	25
South America	1.06%	8	6
Not recorded	2.33%	10	76