Virtua Fighter 5 REVO · v1.10 · Every character

Sarah

Mid and high combined38,465 matchesMid ranks33,612 matchesHigh ranks4,853 matches

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

Win rate49.7%

Standing#12 of 19 · tier B

Pick rate5.2%

Most picked#10 of 19

Matches counted38,465

Unique players250

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	52.58%	1,101	993	2,094
Wolf	52.11%	1,235	1,135	2,370
Vanessa	51.62%	845	792	1,637
Dural	51.60%	210	197	407
Lei Fei	51.25%	879	836	1,715
Jacky	51.00%	2,021	1,942	3,963
Akira	50.46%	2,126	2,087	4,213
Goh	50.09%	1,104	1,100	2,204
Brad	49.37%	1,026	1,052	2,078
Lau	49.33%	1,141	1,172	2,313
Lion	49.30%	1,128	1,160	2,288
Shun	49.05%	933	969	1,902
Pai	48.62%	830	877	1,707
Aoi	48.54%	847	898	1,745
El Blaze	48.39%	813	867	1,680
Jeffry	47.10%	1,064	1,195	2,259
Kage	47.05%	1,188	1,337	2,525
Taka	45.78%	293	347	640
Eileen	44.97%	326	399	725

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
Jean52.6%	56	48	55	56	52	51	59	52	49	53
Wolf52.1%	50	52	57	51	53	44	57	56	53	49
Vanessa51.6%	50	53	53	59	47	47	48	57	51	50
Dural51.6%	40	50	51	57	51	62	81	55	41	50
Lei Fei51.2%	55	56	53	55	51	45	46	50	47	54
Jacky51.0%	49	56	46	52	51	52	52	54	50	49
Akira50.5%	51	49	49	50	52	50	52	54	45	52
Goh50.1%	50	50	50	52	46	52	55	52	48	47
Brad49.4%	52	48	51	51	49	51	45	43	50	52
Lau49.3%	52	46	50	55	44	51	45	51	47	51
Lion49.3%	48	52	47	51	51	51	50	54	47	46
Shun49.0%	48	49	58	47	42	55	51	53	47	47
Pai48.6%	48	51	45	51	50	56	48	49	41	53
Aoi48.5%	48	52	53	52	45	44	52	49	43	55
El Blaze48.4%	53	47	43	49	47	46	46	51	52	48
Jeffry47.1%	43	43	54	41	50	48	47	49	44	46
Kage47.0%	51	48	50	50	44	46	44	48	45	44
Taka45.8%	53	41	42	43	36	45	54	48	44	51
Eileen45.0%	43	46	40	45	42	42	43	42	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+0.9 pts behind walls (95% interval -0.4 to +2.1); within chance across the 20 characters tested, q=0.318

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
Jean52.6%	53	52
Wolf52.1%	53	49
Vanessa51.6%	54	48
Dural51.6%	49	54
Lei Fei51.2%	52	49
Jacky51.0%	51	50
Akira50.5%	50	51
Goh50.1%	50	49
Brad49.4%	49	51
Lau49.3%	50	49
Lion49.3%	50	49
Shun49.0%	50	48
Pai48.6%	47	53
Aoi48.5%	49	48
El Blaze48.4%	49	47
Jeffry47.1%	46	48
Kage47.0%	49	44
Taka45.8%	45	45
Eileen45.0%	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
Dural51.5%	44	50	51	52	53	57	69	53	48	51
Jean51.3%	54	50	52	52	51	51	55	50	50	50
Wolf51.2%	50	51	53	52	52	46	53	53	52	49
Vanessa51.0%	51	51	52	54	48	49	49	53	50	51
Akira50.5%	51	50	49	51	51	50	51	51	48	51
Jacky50.5%	50	53	48	50	51	50	51	52	50	49
Lei Fei50.5%	51	52	51	53	50	47	48	51	48	52
Shun50.3%	50	49	56	47	47	52	49	52	51	50
Goh50.2%	50	50	49	52	48	51	53	51	49	49
Lau50.0%	52	50	50	53	48	50	48	52	49	51
Brad50.0%	51	50	51	51	50	50	48	46	50	51
Lion49.8%	48	52	49	52	51	50	50	52	48	48
Pai49.4%	49	50	48	51	50	52	49	50	46	51
El Blaze49.2%	51	47	46	50	48	48	48	50	52	50
Aoi49.1%	49	52	51	52	48	46	50	49	46	52
Kage48.6%	50	49	49	51	47	49	47	48	47	48
Jeffry48.1%	45	46	52	45	50	48	48	49	46	48
Taka48.0%	53	46	45	48	43	46	54	48	47	51
Eileen46.6%	47	46	45	47	46	46	45	43	49	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+0.4 pts behind walls (95% interval -0.2 to +1.0); 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
Dural51.5%	50	53
Jean51.3%	51	51
Wolf51.2%	52	49
Vanessa51.0%	52	49
Akira50.5%	50	51
Jacky50.5%	51	50
Lei Fei50.5%	51	50
Shun50.3%	51	50
Goh50.2%	50	49
Lau50.0%	51	50
Brad50.0%	50	51
Lion49.8%	50	49
Pai49.4%	49	51
El Blaze49.2%	49	49
Aoi49.1%	50	49
Kage48.6%	49	48
Jeffry48.1%	47	49
Taka48.0%	48	47
Eileen46.6%	46	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	5.38%	8	29,014
South America	4.51%	12	5,058
North America	4.56%	11	3,455
Europe	6.49%	6	1,131
Middle East	0.00%	16	0
Oceania	0.00%	16	0
Not recorded	5.36%	8	1,953

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

Win rate50.3%

Standing#9 of 19 · tier B

Pick rate5.3%

Most picked#9 of 19

Matches counted33,612

Unique players238

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Lei Fei	53.02%	782	693	1,475
Jean	52.64%	1,065	958	2,023
Dural	52.45%	193	175	368
Wolf	52.28%	1,137	1,038	2,175
Lion	51.27%	926	880	1,806
Goh	51.09%	1,034	990	2,024
Akira	51.06%	1,881	1,803	3,684
Vanessa	51.04%	686	658	1,344
Jacky	50.77%	1,775	1,721	3,496
El Blaze	50.27%	662	655	1,317
Shun	49.69%	806	816	1,622
Brad	49.58%	934	950	1,884
Lau	49.48%	953	973	1,926
Pai	49.02%	774	805	1,579
Aoi	48.93%	781	815	1,596
Eileen	47.92%	254	276	530
Jeffry	47.74%	983	1,076	2,059
Taka	47.08%	258	290	548
Kage	46.89%	1,011	1,145	2,156

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
Lei Fei53.0%	55	57	56	54	50	47	49	53	49	59
Jean52.6%	56	48	56	56	52	52	58	52	49	53
Dural52.5%	39	53	58	57	51	59	79	51	42	53
Wolf52.3%	50	54	57	52	52	43	57	56	53	49
Lion51.3%	47	56	47	54	52	52	51	58	50	49
Goh51.1%	51	51	51	54	46	55	58	52	49	48
Akira51.1%	51	49	50	51	53	50	50	55	46	53
Vanessa51.0%	49	53	51	57	45	48	52	56	52	48
Jacky50.8%	49	55	45	51	53	54	52	53	49	48
El Blaze50.3%	51	49	41	50	52	50	50	51	53	55
Shun49.7%	47	51	55	48	45	51	58	55	49	46
Brad49.6%	51	48	50	52	50	52	43	43	51	54
Lau49.5%	53	48	49	57	43	51	43	50	49	51
Pai49.0%	48	52	45	51	52	57	46	50	41	53
Aoi48.9%	48	51	53	52	45	46	52	49	44	56
Eileen47.9%	50	48	43	46	45	42	45	49	52	56
Jeffry47.7%	42	44	54	41	52	49	48	48	45	49
Taka47.1%	58	40	46	43	34	45	57	49	42	60
Kage46.9%	51	51	50	50	45	46	43	47	44	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+0.3 pts behind walls (95% interval -1.0 to +1.7); 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
Lei Fei53.0%	54	51
Jean52.6%	53	52
Dural52.5%	50	54
Wolf52.3%	54	48
Lion51.3%	52	51
Goh51.1%	51	50
Akira51.1%	50	52
Vanessa51.0%	53	47
Jacky50.8%	51	51
El Blaze50.3%	49	52
Shun49.7%	51	47
Brad49.6%	49	52
Lau49.5%	51	48
Pai49.0%	47	54
Aoi48.9%	49	49
Eileen47.9%	48	47
Jeffry47.7%	46	50
Taka47.1%	46	48
Kage46.9%	49	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
Dural52.1%	44	52	54	52	53	57	67	52	48	52
Lei Fei51.6%	51	53	53	53	51	48	50	52	49	56
Jean51.4%	54	50	52	53	51	51	55	50	49	51
Wolf51.2%	50	52	53	52	52	46	53	53	52	49
Akira50.9%	51	50	50	52	52	51	50	52	49	52
Lion50.9%	48	54	49	53	52	51	51	54	50	48
Vanessa50.7%	51	51	51	53	47	50	50	53	50	50
Goh50.7%	51	51	50	52	48	52	54	51	50	49
Shun50.6%	50	50	54	47	48	50	53	53	52	49
Jacky50.4%	50	53	48	50	52	51	51	51	50	50
El Blaze50.4%	50	48	46	50	51	51	50	51	52	54
Brad50.1%	51	50	50	51	50	51	47	47	50	52
Lau50.1%	52	51	50	54	48	50	47	52	49	51
Pai49.7%	49	51	48	51	51	53	49	50	47	52
Aoi49.4%	49	51	51	52	48	47	50	50	46	53
Eileen49.1%	52	48	49	48	48	47	47	49	50	51
Taka48.8%	55	45	46	47	43	46	56	49	47	57
Jeffry48.7%	45	46	52	45	52	49	49	49	47	50
Kage48.5%	51	50	49	51	48	49	46	48	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+0.0 pts behind walls (95% interval -0.6 to +0.7); within chance across the 20 characters tested, q=0.986

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%	50	54
Lei Fei51.6%	52	51
Jean51.4%	51	51
Wolf51.2%	52	49
Akira50.9%	51	52
Lion50.9%	51	50
Vanessa50.7%	51	49
Goh50.7%	51	50
Shun50.6%	51	49
Jacky50.4%	50	51
El Blaze50.4%	50	52
Brad50.1%	50	51
Lau50.1%	51	50
Pai49.7%	49	52
Aoi49.4%	50	49
Eileen49.1%	49	49
Taka48.8%	48	49
Jeffry48.7%	48	50
Kage48.5%	49	48

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	5.60%	7	24,517
South America	4.53%	12	5,058
North America	4.62%	10	3,306
Europe	6.09%	7	894
Middle East	0.00%	16	0
Oceania	0.00%	16	0
Not recorded	5.39%	7	1,785

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

Win rate45.6%

Standing#18 of 19 · tier D

Pick rate4.5%

Most picked#11 of 19

Matches counted4,853

Unique players23

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Vanessa	54.27%	159	134	293
Jacky	52.68%	246	221	467
Jean	50.70%	36	35	71
Wolf	50.26%	98	97	195
Lau	48.58%	188	199	387
Kage	47.97%	177	192	369
Brad	47.42%	92	102	194
Akira	46.31%	245	284	529
Shun	45.36%	127	153	280
Aoi	44.30%	66	83	149
Pai	43.75%	56	72	128
Dural	43.59%	17	22	39
Lion	41.91%	202	280	482
El Blaze	41.60%	151	212	363
Jeffry	40.50%	81	119	200
Lei Fei	40.42%	97	143	240
Goh	38.89%	70	110	180
Taka	38.04%	35	57	92
Eileen	36.92%	72	123	195

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
Vanessa54.3%	59	53	64	68	54	42	31	58	45	57
Jacky52.7%	48	62	55	58	43	38	50	62	54	50
Jean50.7%	50	45	29	55	0	20	100	54	71	50
Wolf50.3%	33	41	58	46	67	48	57	58	50	40
Lau48.6%	49	32	55	47	47	54	53	55	42	50
Kage48.0%	49	33	53	48	38	47	48	54	53	55
Brad47.4%	60	45	61	38	43	38	71	40	46	37
Akira46.3%	50	50	45	45	39	44	67	48	38	49
Shun45.4%	54	33	69	42	27	79	24	42	35	50
Aoi44.3%	50	61	52	50	44	25	50	44	12	47
Pai43.8%	44	42	50	45	0	50	100	43	29	45
Dural43.6%	50	0	0	57	50	100	100	100	33	20
Lion41.9%	48	38	48	42	49	47	48	41	38	36
El Blaze41.6%	63	41	50	43	33	25	36	52	46	33
Jeffry40.5%	64	41	47	44	29	27	25	67	33	33
Lei Fei40.4%	53	44	39	60	57	32	35	35	29	31
Goh38.9%	43	37	40	42	40	20	36	44	25	40
Taka38.0%	27	43	20	44	43	40	33	33	55	20
Eileen36.9%	27	41	31	43	31	41	36	33	44	23

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+4.5 pts behind walls (95% interval +1.0 to +7.9); within chance across the 20 characters tested, q=0.157

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
Vanessa54.3%	57	52
Jacky52.7%	57	44
Jean50.7%	51	33
Wolf50.3%	48	54
Lau48.6%	47	50
Kage48.0%	48	47
Brad47.4%	49	39
Akira46.3%	46	43
Shun45.4%	45	51
Aoi44.3%	48	38
Pai43.8%	44	44
Dural43.6%	43	45
Lion41.9%	42	44
El Blaze41.6%	48	32
Jeffry40.5%	48	31
Lei Fei40.4%	43	39
Goh38.9%	39	34
Taka38.0%	37	31
Eileen36.9%	37	33

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
Vanessa52.3%	56	53	56	61	51	45	41	53	48	52
Wolf51.7%	42	46	53	54	57	52	57	55	52	48
Jacky51.0%	49	55	53	53	48	46	49	57	51	48
Jean50.5%	43	52	43	48	40	29	60	54	59	46
Lau49.8%	53	42	52	50	49	52	54	52	47	49
Kage49.3%	49	44	51	50	45	48	51	50	51	54
Brad48.9%	54	52	56	43	43	45	63	46	45	46
Shun48.5%	55	43	61	48	40	65	31	47	45	51
Akira47.8%	48	52	46	47	45	47	58	49	44	47
Aoi46.8%	44	56	54	60	48	38	47	44	36	47
Dural46.5%	47	0	33	54	56	60	86	64	45	37
Lion45.7%	49	42	50	47	48	47	49	44	44	47
Pai45.4%	49	42	48	46	25	48	86	46	36	43
Goh45.0%	44	47	46	48	47	38	42	50	35	41
El Blaze44.9%	56	44	48	48	41	34	42	45	50	42
Lei Fei43.4%	50	46	43	53	50	40	39	46	32	38
Taka43.3%	40	48	38	48	41	48	42	33	50	30
Jeffry41.3%	54	40	45	44	34	33	22	53	38	39
Eileen39.1%	33	42	37	42	38	39	36	36	46	27

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+2.6 pts behind walls (95% interval +0.8 to +4.4); within chance across the 20 characters tested, q=0.103

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
Vanessa52.3%	54	50
Wolf51.7%	51	53
Jacky51.0%	53	47
Jean50.5%	51	40
Lau49.8%	49	49
Kage49.3%	49	49
Brad48.9%	50	44
Shun48.5%	49	52
Akira47.8%	47	46
Aoi46.8%	50	44
Dural46.5%	46	49
Lion45.7%	46	47
Pai45.4%	45	45
Goh45.0%	45	42
El Blaze44.9%	48	40
Lei Fei43.4%	45	42
Taka43.3%	44	38
Jeffry41.3%	45	36
Eileen39.1%	40	35

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	4.41%	11	4,497
North America	3.55%	11	149
Europe	8.60%	4	237
South America	0.00%	17	0
Not recorded	5.15%	9	168