Virtua Fighter 5 REVO · v1.10 · Every character

Pai

Mid and high combined34,218 matchesMid ranks29,934 matchesHigh ranks4,284 matches

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

Win rate49.7%

Standing#11 of 19 · tier B

Pick rate4.6%

Most picked#13 of 19

Matches counted34,218

Unique players281

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	51.96%	744	688	1,432
Vanessa	51.69%	673	629	1,302
Wolf	51.58%	1,124	1,055	2,179
Goh	51.38%	987	934	1,921
Sarah	51.38%	877	830	1,707
Dural	51.19%	194	185	379
El Blaze	51.10%	742	710	1,452
Shun	50.62%	899	877	1,776
Jean	50.39%	895	881	1,776
Kage	50.10%	1,195	1,190	2,385
Aoi	50.06%	773	771	1,544
Brad	49.27%	877	903	1,780
Akira	48.82%	1,780	1,866	3,646
Jacky	48.81%	1,758	1,844	3,602
Lau	48.39%	1,203	1,283	2,486
Jeffry	47.51%	879	971	1,850
Lion	47.23%	887	991	1,878
Taka	47.04%	270	304	574
Eileen	44.63%	245	304	549

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
Lei Fei52.0%	52	50	52	52	49	47	53	62	50	56
Vanessa51.7%	47	52	59	49	55	54	54	53	47	52
Wolf51.6%	50	53	50	51	51	51	55	52	49	54
Goh51.4%	52	53	49	52	48	48	47	57	53	51
Sarah51.4%	52	49	55	49	50	44	52	51	59	47
Dural51.2%	52	54	52	53	55	45	71	53	31	56
El Blaze51.1%	54	48	51	56	50	51	51	50	48	49
Shun50.6%	53	52	51	55	49	46	48	51	48	58
Jean50.4%	48	49	49	49	45	54	53	54	52	51
Kage50.1%	55	53	49	51	49	45	42	52	50	52
Aoi50.1%	54	48	54	47	49	54	43	56	52	45
Brad49.3%	49	48	59	49	50	46	44	49	49	48
Akira48.8%	48	50	46	51	51	51	40	51	47	48
Jacky48.8%	47	50	49	47	48	51	47	47	52	51
Lau48.4%	45	50	49	51	47	48	54	48	49	47
Jeffry47.5%	54	51	51	47	45	46	41	40	49	46
Lion47.2%	47	47	49	46	51	41	42	47	51	45
Taka47.0%	33	43	42	65	44	51	32	62	51	43
Eileen44.6%	43	51	35	54	38	55	54	48	47	37

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+1.2 pts behind walls (95% interval -0.1 to +2.5); 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
Lei Fei52.0%	53	50
Vanessa51.7%	51	54
Wolf51.6%	51	52
Goh51.4%	53	49
Sarah51.4%	53	47
Dural51.2%	50	51
El Blaze51.1%	51	50
Shun50.6%	52	51
Jean50.4%	50	50
Kage50.1%	52	49
Aoi50.1%	51	50
Brad49.3%	50	48
Akira48.8%	49	50
Jacky48.8%	49	50
Lau48.4%	49	47
Jeffry47.5%	49	46
Lion47.2%	48	46
Taka47.0%	49	45
Eileen44.6%	47	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
Lei Fei51.4%	52	50	52	51	49	49	52	57	51	53
Shun51.2%	52	52	52	54	50	49	51	51	50	54
Vanessa50.8%	49	51	55	49	51	53	51	51	49	51
El Blaze50.6%	51	48	51	54	50	51	50	51	50	50
Sarah50.6%	51	50	52	49	50	48	51	50	54	49
Goh50.6%	51	52	50	50	50	48	49	53	51	51
Jean50.5%	49	49	50	51	48	52	52	52	51	51
Dural50.4%	53	49	48	51	52	48	61	52	43	53
Wolf50.3%	50	52	49	49	49	50	51	52	50	51
Aoi50.2%	53	49	51	47	49	53	46	51	52	49
Kage49.9%	51	52	50	50	50	47	48	49	51	51
Brad49.9%	51	49	55	49	50	48	47	49	51	49
Jacky49.5%	49	50	50	49	49	51	49	48	51	50
Akira49.5%	49	50	48	50	51	51	44	50	49	50
Lau49.0%	48	49	49	50	47	50	51	49	48	49
Lion48.9%	48	49	50	49	51	46	47	49	51	48
Jeffry48.9%	52	50	49	49	49	49	47	47	49	49
Taka48.6%	43	47	45	56	47	50	40	56	51	47
Eileen46.6%	47	50	40	51	45	52	51	51	45	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 -0.2 to +1.1); 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
Lei Fei51.4%	52	50
Shun51.2%	52	51
Vanessa50.8%	51	52
El Blaze50.6%	51	50
Sarah50.6%	51	49
Goh50.6%	51	50
Jean50.5%	50	50
Dural50.4%	50	51
Wolf50.3%	50	50
Aoi50.2%	51	50
Kage49.9%	51	49
Brad49.9%	51	49
Jacky49.5%	50	50
Akira49.5%	49	50
Lau49.0%	49	49
Lion48.9%	49	48
Jeffry48.9%	49	49
Taka48.6%	49	48
Eileen46.6%	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	4.55%	13	24,526
South America	4.24%	13	4,758
North America	7.43%	5	5,628
Europe	0.48%	19	84
Middle East	0.68%	6	5
Oceania	8.97%	3	20
Not recorded	2.50%	16	909

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

Win rate49.9%

Standing#10 of 19 · tier B

Pick rate4.7%

Most picked#13 of 19

Matches counted29,934

Unique players263

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	53.52%	624	542	1,166
Wolf	52.17%	1,048	961	2,009
Goh	51.42%	939	887	1,826
Shun	51.26%	796	757	1,553
Vanessa	51.16%	552	527	1,079
Sarah	50.98%	805	774	1,579
El Blaze	50.84%	634	613	1,247
Dural	50.83%	183	177	360
Jean	50.51%	847	830	1,677
Aoi	50.30%	678	670	1,348
Kage	50.03%	985	984	1,969
Lau	49.50%	900	918	1,818
Jacky	48.95%	1,592	1,660	3,252
Brad	48.67%	784	827	1,611
Akira	48.61%	1,594	1,685	3,279
Jeffry	47.50%	837	925	1,762
Lion	47.04%	724	815	1,539
Taka	46.97%	225	254	479
Eileen	46.72%	178	203	381

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 Fei53.5%	56	53	56	54	52	48	54	64	50	51
Wolf52.2%	48	53	50	53	51	51	54	52	52	55
Goh51.4%	51	52	50	53	48	48	47	57	55	52
Shun51.3%	56	53	51	56	50	45	47	51	49	58
Vanessa51.2%	44	53	58	51	52	55	54	51	49	52
Sarah51.0%	52	48	55	49	48	43	54	50	59	47
El Blaze50.8%	57	51	53	54	50	50	48	48	47	48
Dural50.8%	52	55	54	52	55	41	70	53	31	60
Jean50.5%	49	48	49	49	45	53	53	54	53	52
Aoi50.3%	54	48	53	46	51	55	43	59	50	46
Kage50.0%	56	54	48	52	50	40	42	52	49	53
Lau49.5%	48	54	46	54	45	48	58	50	48	48
Jacky49.0%	47	50	50	48	48	50	47	47	51	51
Brad48.7%	49	45	59	48	51	48	45	48	46	49
Akira48.6%	47	50	46	49	51	51	41	52	47	48
Jeffry47.5%	55	51	52	47	44	46	41	41	49	46
Lion47.0%	49	45	52	46	51	40	43	45	51	43
Taka47.0%	35	47	39	65	40	50	35	67	48	45
Eileen46.7%	39	61	37	53	42	49	57	51	56	34

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+1.5 pts behind walls (95% interval +0.1 to +2.9); within chance across the 20 characters tested, q=0.142

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 Fei53.5%	56	50
Wolf52.2%	52	53
Goh51.4%	53	49
Shun51.3%	53	51
Vanessa51.2%	51	53
Sarah51.0%	53	46
El Blaze50.8%	51	49
Dural50.8%	50	50
Jean50.5%	50	50
Aoi50.3%	51	51
Kage50.0%	52	48
Lau49.5%	50	47
Jacky49.0%	49	50
Brad48.7%	49	49
Akira48.6%	49	50
Jeffry47.5%	49	45
Lion47.0%	48	45
Taka47.0%	49	45
Eileen46.7%	50	42

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
Lei Fei52.3%	54	52	55	52	51	49	53	58	50	51
Shun51.5%	54	53	52	54	51	48	51	50	51	53
El Blaze50.7%	52	49	53	53	50	51	48	51	49	49
Goh50.6%	50	52	50	50	50	48	49	52	52	51
Jean50.6%	50	49	50	50	48	52	52	52	52	52
Wolf50.6%	49	53	49	50	50	50	51	52	51	51
Dural50.3%	53	50	49	50	52	46	61	52	43	57
Sarah50.3%	51	49	52	49	49	47	51	50	53	48
Vanessa50.3%	48	51	54	50	50	52	51	50	50	51
Aoi50.2%	53	50	51	47	49	53	47	52	51	49
Kage49.9%	51	52	50	51	50	45	48	49	51	51
Lau49.7%	50	52	47	52	47	51	55	50	48	49
Brad49.6%	51	47	56	48	50	50	48	47	50	49
Jacky49.5%	48	50	50	49	49	51	49	48	51	50
Akira49.4%	48	49	48	50	51	50	45	51	49	50
Jeffry48.9%	52	50	49	49	48	49	47	48	48	49
Lion48.8%	49	48	51	50	51	45	47	48	51	46
Taka48.5%	43	48	45	56	46	50	41	57	50	48
Eileen47.4%	46	53	43	49	47	48	51	51	54	41

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+0.7 pts behind walls (95% interval -0.0 to +1.4); within chance across the 20 characters tested, q=0.229

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
Lei Fei52.3%	53	50
Shun51.5%	52	51
El Blaze50.7%	51	50
Goh50.6%	51	50
Jean50.6%	51	50
Wolf50.6%	51	50
Dural50.3%	50	51
Sarah50.3%	51	48
Vanessa50.3%	50	51
Aoi50.2%	51	51
Kage49.9%	51	49
Lau49.7%	50	49
Brad49.6%	50	49
Jacky49.5%	49	50
Akira49.4%	49	50
Jeffry48.9%	49	49
Lion48.8%	50	47
Taka48.5%	49	48
Eileen47.4%	49	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	4.65%	13	20,348
South America	4.26%	13	4,757
North America	7.55%	5	5,399
Europe	0.57%	19	84
Middle East	0.68%	6	5
Oceania	8.97%	3	20
Not recorded	2.63%	16	871

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

Win rate48.5%

Standing#12 of 19 · tier B

Pick rate3.9%

Most picked#12 of 19

Matches counted4,284

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	57.89%	11	8	19
Sarah	56.25%	72	56	128
Brad	55.03%	93	76	169
Vanessa	54.26%	121	102	223
El Blaze	52.68%	108	97	205
Akira	50.68%	186	181	367
Goh	50.53%	48	47	95
Kage	50.48%	210	206	416
Jean	48.48%	48	51	99
Aoi	48.47%	95	101	196
Lion	48.08%	163	176	339
Jeffry	47.73%	42	46	88
Jacky	47.43%	166	184	350
Taka	47.37%	45	50	95
Shun	46.19%	103	120	223
Lau	45.36%	303	365	668
Lei Fei	45.11%	120	146	266
Wolf	44.71%	76	94	170
Eileen	39.88%	67	101	168

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
Dural57.9%	50	0	0	100	·	100	100	·	·	40
Sarah56.2%	56	58	50	55	100	50	0	57	71	55
Brad55.0%	50	79	59	58	29	10	30	60	87	47
Vanessa54.3%	61	50	64	43	91	50	53	67	41	53
El Blaze52.7%	38	39	45	67	50	56	60	60	70	62
Akira50.7%	57	50	46	63	48	51	33	47	45	44
Goh50.5%	65	67	22	33	38	100	50	67	20	43
Kage50.5%	50	50	52	44	45	64	41	50	52	48
Jean48.5%	42	67	50	55	40	83	50	62	20	31
Aoi48.5%	53	47	62	55	42	43	33	40	59	39
Lion48.1%	40	54	38	46	50	50	39	53	50	51
Jeffry47.7%	29	50	33	40	86	50	100	33	53	38
Jacky47.4%	48	49	43	33	44	58	43	46	57	52
Taka47.4%	17	25	54	64	62	57	0	43	62	30
Shun46.2%	26	33	52	48	46	52	75	52	45	55
Lau45.4%	36	35	62	44	51	46	49	44	51	43
Lei Fei45.1%	39	42	32	41	33	44	45	50	50	75
Wolf44.7%	59	47	38	33	47	52	62	50	17	36
Eileen39.9%	50	38	32	55	23	71	33	40	18	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-0.9 pts behind walls (95% interval -4.5 to +2.8); 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
Dural57.9%	43	62
Sarah56.2%	56	56
Brad55.0%	66	37
Vanessa54.3%	52	61
El Blaze52.7%	50	57
Akira50.7%	52	48
Goh50.5%	52	43
Kage50.5%	50	51
Jean48.5%	50	44
Aoi48.5%	53	41
Lion48.1%	47	50
Jeffry47.7%	42	55
Jacky47.4%	47	50
Taka47.4%	49	48
Shun46.2%	45	51
Lau45.4%	45	47
Lei Fei45.1%	42	51
Wolf44.7%	42	46
Eileen39.9%	40	45

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
Sarah54.6%	51	58	52	54	75	52	14	54	64	57
Vanessa53.4%	57	50	61	48	73	54	53	58	45	52
Brad52.9%	53	67	54	54	37	34	40	55	68	51
Dural52.0%	56	25	0	75	·	75	60	·	·	41
El Blaze50.4%	42	45	45	57	48	54	55	53	60	56
Akira50.2%	51	52	47	56	53	51	37	46	45	49
Kage50.1%	51	50	50	45	48	56	45	47	51	49
Jeffry49.9%	45	45	46	48	70	49	75	36	56	44
Aoi49.8%	54	46	55	52	50	45	32	45	54	49
Jacky49.7%	53	51	49	40	47	54	44	48	54	51
Lion49.6%	47	53	45	45	53	52	45	51	50	53
Shun49.4%	36	41	53	53	50	50	58	53	48	56
Taka49.3%	42	42	50	57	53	52	25	50	56	42
Goh49.1%	58	55	39	50	44	100	50	54	33	44
Jean48.2%	46	50	46	54	48	67	50	55	36	41
Lei Fei47.5%	46	47	39	46	41	47	43	51	52	59
Lau47.0%	42	41	53	46	49	48	45	48	49	48
Wolf46.9%	56	48	48	40	46	51	52	49	31	45
Eileen44.7%	49	45	36	55	35	62	50	50	18	44

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-1.2 pts behind walls (95% interval -3.1 to +0.8); 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
Sarah54.6%	55	55
Vanessa53.4%	52	58
Brad52.9%	58	46
Dural52.0%	48	53
El Blaze50.4%	49	53
Akira50.2%	50	51
Kage50.1%	49	51
Jeffry49.9%	47	53
Aoi49.8%	51	49
Jacky49.7%	50	50
Lion49.6%	48	52
Shun49.4%	48	52
Taka49.3%	51	48
Goh49.1%	50	46
Jean48.2%	48	48
Lei Fei47.5%	47	49
Lau47.0%	47	48
Wolf46.9%	46	48
Eileen44.7%	44	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	4.10%	12	4,178
North America	5.46%	7	229
Europe	0.00%	19	0
South America	0.18%	10	1
Not recorded	1.16%	16	38