Virtua Fighter 5 REVO · v1.10 · Every character

Lion

Mid and high combined40,935 matchesMid ranks32,582 matchesHigh ranks8,353 matches

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

Win rate50.9%

Standing#6 of 19 · tier A

Pick rate5.5%

Most picked#7 of 19

Matches counted40,935

Unique players321

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	54.20%	923	780	1,703
Vanessa	53.65%	985	851	1,836
Shun	53.32%	1,211	1,060	2,271
Goh	53.23%	1,194	1,049	2,243
Pai	52.77%	991	887	1,878
Jean	51.93%	1,141	1,056	2,197
Akira	51.87%	2,377	2,206	4,583
Wolf	51.59%	1,186	1,113	2,299
Lei Fei	50.71%	899	874	1,773
Sarah	50.70%	1,160	1,128	2,288
Dural	50.38%	198	195	393
Kage	50.22%	1,510	1,497	3,007
El Blaze	49.93%	759	761	1,520
Brad	49.84%	1,114	1,121	2,235
Jacky	49.11%	1,950	2,021	3,971
Jeffry	48.70%	1,109	1,168	2,277
Lau	48.66%	1,468	1,549	3,017
Eileen	47.54%	348	384	732
Taka	42.13%	300	412	712

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
Aoi54.2%	54	57	56	53	58	67	49	50	49	52
Vanessa53.6%	49	51	58	57	50	56	40	61	55	55
Shun53.3%	46	53	53	50	60	60	49	53	55	54
Goh53.2%	53	48	50	55	52	55	55	56	52	57
Pai52.8%	53	53	51	54	49	59	58	53	49	55
Jean51.9%	49	48	50	54	57	52	47	57	51	52
Akira51.9%	54	48	51	52	50	53	57	50	55	54
Wolf51.6%	54	50	49	54	52	53	59	52	52	45
Lei Fei50.7%	50	48	48	43	57	54	57	55	48	52
Sarah50.7%	52	48	53	49	49	49	50	46	53	54
Dural50.4%	48	44	51	58	44	50	35	56	46	52
Kage50.2%	55	45	49	49	52	55	49	48	48	52
El Blaze49.9%	48	55	47	46	51	56	48	48	45	54
Brad49.8%	53	50	47	56	49	45	52	43	55	47
Jacky49.1%	47	48	49	50	42	52	44	47	50	54
Jeffry48.7%	44	50	51	44	45	51	50	52	45	53
Lau48.7%	46	53	48	45	49	48	42	47	49	55
Eileen47.5%	54	47	45	43	47	50	80	53	42	36
Taka42.1%	47	42	47	53	42	29	29	47	39	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-1.7 pts behind walls (95% interval -2.9 to -0.5); within chance across the 20 characters tested, q=0.118

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
Aoi54.2%	53	58
Vanessa53.6%	55	53
Shun53.3%	52	58
Goh53.2%	52	54
Pai52.8%	52	54
Jean51.9%	51	54
Akira51.9%	52	53
Wolf51.6%	52	50
Lei Fei50.7%	48	54
Sarah50.7%	50	51
Dural50.4%	50	49
Kage50.2%	49	53
El Blaze49.9%	48	54
Brad49.8%	51	47
Jacky49.1%	49	50
Jeffry48.7%	48	50
Lau48.7%	48	50
Eileen47.5%	48	45
Taka42.1%	46	39

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
Shun53.0%	50	53	52	50	56	56	51	52	54	54
Aoi52.0%	52	53	53	51	53	57	50	50	51	51
Goh51.8%	52	49	50	53	53	52	52	53	50	53
Vanessa51.7%	51	49	55	53	50	53	46	53	53	53
Jean51.1%	49	49	50	52	54	51	49	54	50	50
Pai51.1%	52	51	50	51	49	54	53	51	49	52
Akira50.9%	52	49	51	51	50	51	54	50	52	52
Wolf50.4%	52	50	49	52	51	50	54	51	50	47
Kage50.3%	53	48	50	49	52	53	48	51	50	50
Sarah50.2%	52	48	51	48	49	50	50	48	52	52
El Blaze50.1%	49	52	49	47	53	53	50	49	48	51
Lei Fei50.0%	49	49	50	46	53	52	52	52	49	51
Brad49.9%	51	50	48	52	49	47	52	47	53	49
Dural49.8%	48	46	50	51	49	48	40	53	48	51
Jacky49.6%	49	48	49	50	47	51	48	49	50	52
Lau49.1%	48	51	49	49	50	49	45	49	48	52
Jeffry48.8%	46	48	50	47	46	50	50	51	47	52
Eileen48.3%	50	49	48	47	47	49	62	51	46	41
Taka46.1%	48	47	49	50	46	40	40	49	45	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-0.9 pts behind walls (95% interval -1.5 to -0.3); holds up against the 20 characters tested, q=0.026

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
Shun53.0%	52	56
Aoi52.0%	52	54
Goh51.8%	51	53
Vanessa51.7%	52	52
Jean51.1%	51	52
Pai51.1%	51	52
Akira50.9%	51	51
Wolf50.4%	51	50
Kage50.3%	50	52
Sarah50.2%	50	51
El Blaze50.1%	49	52
Lei Fei50.0%	49	52
Brad49.9%	50	49
Dural49.8%	50	49
Jacky49.6%	49	50
Lau49.1%	49	50
Jeffry48.8%	48	49
Eileen48.3%	49	46
Taka46.1%	48	44

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	5.82%	6	31,419
South America	3.77%	15	4,236
North America	5.31%	8	4,021
Europe	8.38%	4	1,461
Middle East	0.00%	15	0
Oceania	4.48%	6	10
Not recorded	5.60%	7	2,038

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

Win rate51.4%

Standing#4 of 19 · tier A

Pick rate5.1%

Most picked#11 of 19

Matches counted32,582

Unique players296

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	54.86%	994	818	1,812
Aoi	54.06%	806	685	1,491
Goh	53.60%	1,042	902	1,944
Pai	52.96%	815	724	1,539
Vanessa	52.73%	656	588	1,244
Wolf	52.62%	1,063	957	2,020
Lei Fei	52.32%	700	638	1,338
Jean	52.23%	1,032	944	1,976
Akira	52.11%	1,978	1,818	3,796
Jacky	50.79%	1,634	1,583	3,217
Dural	50.42%	178	175	353
Lau	50.35%	1,011	997	2,008
Brad	50.18%	853	847	1,700
El Blaze	50.05%	530	529	1,059
Jeffry	49.80%	994	1,002	1,996
Kage	49.39%	1,180	1,209	2,389
Sarah	48.73%	880	926	1,806
Eileen	45.87%	189	223	412
Taka	44.19%	213	269	482

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
Shun54.9%	45	55	57	52	67	58	49	53	58	54
Aoi54.1%	53	58	58	52	59	67	46	50	48	50
Goh53.6%	53	47	51	57	52	53	57	57	51	56
Pai53.0%	51	55	48	54	49	60	57	55	49	57
Vanessa52.7%	46	49	60	59	45	56	39	62	53	53
Wolf52.6%	58	51	50	55	54	56	59	53	51	46
Lei Fei52.3%	52	49	51	45	62	56	55	52	52	53
Jean52.2%	48	48	51	53	57	54	49	58	50	53
Akira52.1%	54	47	52	54	51	54	56	49	56	52
Jacky50.8%	49	51	50	51	45	56	48	47	50	56
Dural50.4%	50	44	55	58	44	53	35	58	44	50
Lau50.4%	47	56	54	45	47	54	41	52	49	53
Brad50.2%	53	53	48	55	47	47	55	40	54	48
El Blaze50.0%	49	54	42	47	55	52	52	46	46	58
Jeffry49.8%	45	52	52	43	48	53	50	52	46	55
Kage49.4%	54	44	48	48	51	56	47	48	48	52
Sarah48.7%	53	44	53	46	48	48	49	42	50	51
Eileen45.9%	58	45	35	39	48	42	91	59	41	34
Taka44.2%	51	43	51	55	45	28	31	50	40	44

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-1.9 pts behind walls (95% interval -3.2 to -0.5); within chance across the 20 characters tested, q=0.058

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
Shun54.9%	54	59
Aoi54.1%	53	59
Goh53.6%	53	54
Pai53.0%	52	55
Vanessa52.7%	55	51
Wolf52.6%	53	52
Lei Fei52.3%	50	57
Jean52.2%	51	55
Akira52.1%	52	53
Jacky50.8%	50	52
Dural50.4%	50	49
Lau50.4%	51	51
Brad50.2%	51	47
El Blaze50.0%	47	55
Jeffry49.8%	49	52
Kage49.4%	48	53
Sarah48.7%	48	49
Eileen45.9%	46	41
Taka44.2%	49	38

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
Shun53.6%	49	55	54	51	60	55	50	52	56	53
Aoi52.1%	51	54	53	52	54	58	49	50	51	50
Goh52.1%	53	48	50	54	53	51	53	54	50	52
Jean51.3%	48	50	51	52	54	52	50	55	50	51
Vanessa51.3%	50	48	56	54	47	53	46	54	53	51
Pai51.2%	51	52	49	50	49	55	53	52	49	54
Akira51.1%	52	49	51	52	50	52	54	49	53	51
Wolf50.9%	53	50	49	53	52	52	55	51	49	47
Lei Fei50.9%	50	50	51	46	55	53	51	51	51	51
Jacky50.6%	49	49	50	50	48	53	50	50	51	53
El Blaze50.4%	49	52	47	47	55	52	52	49	49	53
Lau50.1%	48	52	51	50	49	52	45	51	49	51
Brad49.9%	51	51	48	52	48	48	54	46	53	49
Dural49.9%	50	46	52	51	49	50	40	54	47	50
Kage49.9%	52	48	49	48	51	53	48	51	50	49
Jeffry49.6%	47	50	51	47	48	51	50	51	47	52
Sarah49.1%	52	46	51	47	48	49	49	46	50	52
Eileen47.9%	54	48	42	45	51	45	65	52	47	42
Taka47.4%	51	47	50	51	50	40	42	50	46	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-1.0 pts behind walls (95% interval -1.7 to -0.3); holds up against the 20 characters tested, q=0.026

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
Shun53.6%	53	56
Aoi52.1%	52	54
Goh52.1%	52	52
Jean51.3%	51	52
Vanessa51.3%	53	50
Pai51.2%	50	53
Akira51.1%	51	51
Wolf50.9%	51	50
Lei Fei50.9%	50	53
Jacky50.6%	50	52
El Blaze50.4%	49	53
Lau50.1%	50	50
Brad49.9%	50	49
Dural49.9%	50	49
Kage49.9%	50	51
Jeffry49.6%	49	50
Sarah49.1%	49	50
Eileen47.9%	48	45
Taka47.4%	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	5.47%	9	23,928
South America	3.61%	15	4,037
North America	4.12%	13	2,949
Europe	8.91%	2	1,307
Middle East	0.00%	15	0
Oceania	4.48%	6	10
Not recorded	5.21%	8	1,727

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

Win rate48.8%

Standing#11 of 19 · tier B

Pick rate8.2%

Most picked#4 of 19

Matches counted8,353

Unique players56

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Sarah	58.09%	280	202	482
Vanessa	55.57%	329	263	592
Aoi	55.19%	117	95	212
Kage	53.40%	330	288	618
Pai	51.92%	176	163	339
Goh	50.84%	152	147	299
Akira	50.70%	399	388	787
Dural	50.00%	20	20	40
Eileen	49.69%	159	161	320
El Blaze	49.67%	229	232	461
Jean	49.32%	109	112	221
Brad	48.79%	261	274	535
Shun	47.28%	217	242	459
Lei Fei	45.75%	199	236	435
Lau	45.29%	457	552	1,009
Wolf	44.09%	123	156	279
Jacky	41.91%	316	438	754
Jeffry	40.93%	115	166	281
Taka	37.83%	87	143	230

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
Sarah58.1%	52	62	52	58	51	53	52	59	62	64
Vanessa55.6%	55	56	54	53	58	55	42	56	57	62
Aoi55.2%	62	52	33	58	44	60	69	50	54	64
Kage53.4%	57	51	54	54	57	52	56	46	46	56
Pai51.9%	60	46	62	54	50	50	61	47	50	49
Goh50.8%	47	51	47	46	52	62	46	53	55	60
Akira50.7%	51	53	46	46	45	50	59	54	48	66
Dural50.0%	33	·	43	·	50	0	·	45	100	100
Eileen49.7%	50	52	56	57	46	64	50	45	42	38
El Blaze49.7%	46	58	57	46	43	64	38	52	43	41
Jean49.3%	62	50	42	58	59	36	17	47	55	40
Brad48.8%	51	44	41	57	57	39	43	51	57	45
Shun47.3%	48	42	39	40	33	69	50	55	46	53
Lei Fei45.8%	38	41	37	38	45	50	62	67	39	47
Lau45.3%	45	46	37	45	52	37	42	38	50	58
Wolf44.1%	34	48	43	44	43	36	55	44	69	40
Jacky41.9%	42	37	44	48	29	38	28	46	47	47
Jeffry40.9%	39	26	40	50	28	38	45	51	42	45
Taka37.8%	38	40	39	44	37	32	26	40	38	52

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-1.0 pts behind walls (95% interval -3.6 to +1.6); 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 Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Sarah58.1%	58	56
Vanessa55.6%	55	58
Aoi55.2%	53	57
Kage53.4%	52	55
Pai51.9%	53	50
Goh50.8%	50	58
Akira50.7%	50	53
Dural50.0%	47	50
Eileen49.7%	50	49
El Blaze49.7%	50	49
Jean49.3%	53	48
Brad48.8%	51	47
Shun47.3%	45	52
Lei Fei45.8%	43	48
Lau45.3%	43	49
Wolf44.1%	46	40
Jacky41.9%	44	39
Jeffry40.9%	43	38
Taka37.8%	40	40

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
Sarah54.3%	51	58	50	53	52	53	51	56	56	53
Vanessa52.6%	53	52	51	50	54	54	45	51	53	57
Kage52.2%	57	51	52	51	55	52	51	49	50	54
Aoi51.6%	53	52	44	51	43	52	58	53	51	56
Shun50.6%	51	46	46	46	44	61	52	54	50	56
Pai50.4%	53	47	55	55	47	48	55	49	50	47
Goh50.2%	45	50	48	49	54	52	46	50	52	61
Akira50.1%	51	49	48	48	48	47	53	53	49	60
Jean49.7%	57	49	46	54	54	44	37	46	53	44
Brad49.7%	53	47	46	54	53	46	47	50	54	48
El Blaze49.5%	49	53	53	47	49	55	45	49	46	44
Eileen48.9%	46	51	55	55	45	55	56	49	45	40
Dural48.8%	38	·	46	·	44	14	·	48	75	67
Lei Fei47.4%	44	45	45	42	48	49	53	55	44	50
Lau47.1%	47	47	45	47	51	43	44	44	47	53
Wolf46.8%	42	50	44	49	46	41	50	49	58	46
Jacky45.3%	45	43	48	47	40	42	39	47	47	48
Taka43.3%	42	47	47	47	39	38	37	45	42	51
Jeffry42.5%	40	24	39	51	34	42	49	49	43	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-0.6 pts behind walls (95% interval -2.0 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
Sarah54.3%	54	53
Vanessa52.6%	52	55
Kage52.2%	52	54
Aoi51.6%	51	51
Shun50.6%	49	54
Pai50.4%	52	48
Goh50.2%	49	55
Akira50.1%	50	51
Jean49.7%	51	49
Brad49.7%	51	49
El Blaze49.5%	49	49
Eileen48.9%	50	47
Dural48.8%	48	44
Lei Fei47.4%	46	49
Lau47.1%	46	49
Wolf46.8%	48	44
Jacky45.3%	46	44
Taka43.3%	45	43
Jeffry42.5%	43	42

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	7.34%	5	7,491
North America	25.56%	1	1,072
Europe	5.59%	7	154
South America	35.16%	1	199
Not recorded	9.53%	3	311