Virtua Fighter 5 REVO · v1.10 · Every character

Jacky

Mid and high combined68,820 matchesMid ranks59,524 matchesHigh ranks9,296 matches

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

Win rate49.3%

Standing#13 of 19 · tier C

Pick rate9.7%

Most picked#2 of 19

Matches counted68,820

Unique players494

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	51.76%	2,305	2,148	4,453
Pai	51.19%	1,844	1,758	3,602
Goh	50.99%	2,218	2,132	4,350
Lion	50.89%	2,021	1,950	3,971
Shun	50.87%	2,023	1,954	3,977
Jean	50.45%	1,896	1,862	3,758
Vanessa	50.43%	1,524	1,498	3,022
Akira	49.98%	4,107	4,111	8,218
Dural	49.86%	368	370	738
Lei Fei	49.11%	1,442	1,494	2,936
Lau	49.05%	2,298	2,387	4,685
Sarah	49.00%	1,942	2,021	3,963
Jeffry	48.82%	2,032	2,130	4,162
Eileen	47.78%	613	670	1,283
Aoi	47.61%	1,414	1,556	2,970
Kage	47.55%	2,273	2,507	4,780
El Blaze	46.24%	1,298	1,509	2,807
Brad	45.50%	1,734	2,077	3,811
Taka	45.50%	607	727	1,334

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
Wolf51.8%	49	52	53	53	51	48	49	56	52	51
Pai51.2%	53	50	51	53	52	49	53	53	48	49
Goh51.0%	50	55	51	54	51	52	47	52	50	46
Lion50.9%	53	52	51	50	58	48	56	53	50	46
Shun50.9%	53	55	52	51	49	50	49	50	52	50
Jean50.5%	51	50	52	51	53	51	47	52	52	46
Vanessa50.4%	50	53	49	57	43	48	53	54	49	47
Akira50.0%	48	50	52	52	52	50	47	50	49	48
Dural49.9%	62	50	48	52	51	39	39	48	52	52
Lei Fei49.1%	52	48	52	53	49	52	45	47	47	45
Lau49.0%	46	49	47	52	54	46	55	49	47	47
Sarah49.0%	51	44	54	48	49	48	48	46	50	51
Jeffry48.8%	45	45	53	49	49	51	45	47	51	52
Eileen47.8%	46	41	55	47	54	52	35	49	46	50
Aoi47.6%	48	48	51	48	50	49	44	48	41	48
Kage47.5%	47	47	50	44	46	47	51	51	46	49
El Blaze46.2%	49	45	42	45	51	41	47	46	46	49
Brad45.5%	44	48	50	45	47	41	46	44	45	46
Taka45.5%	52	37	47	47	38	39	41	52	46	50

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+0.8 pts behind walls (95% interval -0.2 to +1.7); within chance across the 20 characters tested, q=0.273

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
Wolf51.8%	52	50
Pai51.2%	51	50
Goh51.0%	52	50
Lion50.9%	51	50
Shun50.9%	52	50
Jean50.5%	51	50
Vanessa50.4%	52	46
Akira50.0%	50	50
Dural49.9%	52	47
Lei Fei49.1%	50	49
Lau49.0%	49	49
Sarah49.0%	49	50
Jeffry48.8%	49	51
Eileen47.8%	48	52
Aoi47.6%	47	49
Kage47.5%	48	47
El Blaze46.2%	45	47
Brad45.5%	46	45
Taka45.5%	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
Shun51.5%	52	53	53	52	51	51	50	52	52	50
Wolf50.9%	50	50	51	52	51	50	49	53	51	51
Pai50.5%	51	50	50	51	51	49	51	52	49	50
Goh50.5%	50	53	51	52	51	51	47	51	50	48
Lion50.4%	51	52	51	50	53	49	52	51	50	48
Akira50.2%	49	51	51	52	51	50	49	50	49	50
Vanessa50.0%	49	52	50	52	47	49	51	53	50	48
Jean49.9%	50	49	50	51	52	50	48	50	51	48
Lei Fei49.5%	51	48	51	51	50	51	48	49	48	48
Dural49.5%	55	49	49	49	49	44	45	50	52	49
Sarah49.5%	50	47	52	50	49	50	49	48	50	51
Lau49.4%	48	49	48	51	52	48	52	50	49	48
Jeffry49.2%	48	47	52	50	49	50	46	48	50	51
Eileen49.2%	49	47	53	49	50	49	46	49	48	51
Kage48.8%	49	49	50	47	49	49	51	51	48	49
Aoi48.4%	49	49	50	49	49	49	47	48	46	49
Taka48.0%	49	46	50	49	45	43	44	52	49	50
El Blaze47.8%	49	47	46	47	49	45	48	48	48	49
Brad47.6%	47	49	51	47	48	44	46	48	48	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+0.5 pts behind walls (95% interval +0.0 to +0.9); 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
Shun51.5%	52	51
Wolf50.9%	51	50
Pai50.5%	50	50
Goh50.5%	51	50
Lion50.4%	51	50
Akira50.2%	50	50
Vanessa50.0%	51	48
Jean49.9%	50	50
Lei Fei49.5%	50	50
Dural49.5%	51	47
Sarah49.5%	49	50
Lau49.4%	49	50
Jeffry49.2%	49	50
Eileen49.2%	49	50
Kage48.8%	49	49
Aoi48.4%	48	49
Taka48.0%	49	46
El Blaze47.8%	48	48
Brad47.6%	48	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	9.91%	1	53,445
South America	7.96%	2	8,935
North America	8.48%	4	6,421
Europe	6.21%	7	1,083
Middle East	39.37%	2	289
Oceania	0.00%	12	0
Not recorded	15.71%	1	5,719

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

Win rate49.0%

Standing#16 of 19 · tier C

Pick rate9.8%

Most picked#2 of 19

Matches counted59,524

Unique players457

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	51.86%	2,130	1,977	4,107
Pai	51.05%	1,660	1,592	3,252
Goh	50.74%	2,060	2,000	4,060
Jean	50.28%	1,790	1,770	3,560
Akira	50.27%	3,588	3,550	7,138
Shun	50.03%	1,686	1,684	3,370
Dural	49.64%	342	347	689
Sarah	49.23%	1,721	1,775	3,496
Lion	49.21%	1,583	1,634	3,217
Lau	49.09%	1,777	1,843	3,620
Lei Fei	48.70%	1,222	1,287	2,509
Vanessa	48.58%	1,097	1,161	2,258
Jeffry	48.35%	1,906	2,036	3,942
Aoi	47.43%	1,290	1,430	2,720
Kage	47.21%	1,811	2,025	3,836
El Blaze	46.58%	1,084	1,243	2,327
Eileen	45.66%	426	507	933
Taka	45.17%	524	636	1,160
Brad	45.02%	1,499	1,831	3,330

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
Wolf51.9%	50	52	54	52	52	49	49	55	51	52
Pai51.0%	53	50	50	52	52	50	53	53	49	49
Goh50.7%	51	56	51	53	52	51	46	50	49	46
Jean50.3%	51	49	52	50	53	53	46	52	51	46
Akira50.3%	50	51	52	52	52	49	47	51	49	48
Shun50.0%	52	55	53	51	49	47	45	51	52	48
Dural49.6%	63	50	48	50	51	36	39	48	55	52
Sarah49.2%	51	45	55	49	47	46	48	47	51	52
Lion49.2%	51	49	50	49	55	44	52	53	50	44
Lau49.1%	48	51	48	52	55	41	56	50	49	45
Lei Fei48.7%	51	48	51	52	49	52	45	47	47	44
Vanessa48.6%	48	51	49	56	40	46	54	52	49	45
Jeffry48.4%	45	45	53	49	47	50	45	47	50	52
Aoi47.4%	47	47	52	48	50	50	42	47	42	47
Kage47.2%	48	47	50	44	47	46	50	50	46	48
El Blaze46.6%	48	44	44	44	55	41	47	46	45	50
Eileen45.7%	46	38	50	51	49	45	38	45	44	48
Taka45.2%	51	37	48	46	39	41	34	50	44	48
Brad45.0%	44	46	50	46	47	39	44	43	46	45

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+1.3 pts behind walls (95% interval +0.3 to +2.3); 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
Wolf51.9%	52	51
Pai51.0%	51	50
Goh50.7%	52	49
Jean50.3%	51	50
Akira50.3%	51	50
Shun50.0%	52	48
Dural49.6%	52	47
Sarah49.2%	49	49
Lion49.2%	50	48
Lau49.1%	50	47
Lei Fei48.7%	49	48
Vanessa48.6%	51	43
Jeffry48.4%	48	50
Aoi47.4%	47	49
Kage47.2%	48	47
El Blaze46.6%	45	48
Eileen45.7%	46	47
Taka45.2%	46	43
Brad45.0%	46	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
Shun51.0%	52	53	53	52	50	50	47	52	53	48
Wolf50.9%	50	50	51	51	51	50	49	52	51	51
Pai50.5%	52	50	50	51	51	49	51	52	49	50
Akira50.4%	50	52	51	52	51	50	50	50	49	49
Goh50.4%	50	54	51	52	51	50	47	50	49	48
Jean49.9%	50	49	50	50	52	51	47	50	51	48
Sarah49.6%	50	47	52	50	48	49	49	49	50	50
Lau49.4%	49	50	48	51	52	46	53	50	50	47
Lion49.4%	51	51	50	50	52	47	50	50	49	47
Dural49.3%	57	49	49	49	49	43	45	50	53	49
Lei Fei49.3%	51	48	51	50	50	51	49	48	48	47
Vanessa49.2%	48	50	49	52	45	48	52	52	50	47
Jeffry48.9%	48	47	51	50	48	50	46	47	50	51
Kage48.4%	49	48	49	47	49	48	49	50	48	48
Aoi48.3%	49	49	50	49	48	49	46	48	46	49
Eileen48.0%	49	46	51	50	49	46	45	47	47	49
Taka47.8%	48	46	50	49	46	44	41	51	48	49
El Blaze47.8%	49	46	47	46	51	45	48	48	48	49
Brad47.3%	47	48	50	47	48	43	46	47	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+0.8 pts behind walls (95% interval +0.3 to +1.2); 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
Shun51.0%	52	50
Wolf50.9%	51	50
Pai50.5%	51	50
Akira50.4%	51	50
Goh50.4%	51	50
Jean49.9%	50	50
Sarah49.6%	50	49
Lau49.4%	50	48
Lion49.4%	50	48
Dural49.3%	51	47
Lei Fei49.3%	49	50
Vanessa49.2%	50	47
Jeffry48.9%	49	50
Kage48.4%	48	48
Aoi48.3%	48	49
Eileen48.0%	48	48
Taka47.8%	49	46
El Blaze47.8%	47	48
Brad47.3%	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	10.18%	1	44,520
South America	8.00%	2	8,935
North America	8.46%	4	6,055
Europe	7.22%	6	1,060
Middle East	39.37%	2	289
Oceania	0.00%	12	0
Not recorded	15.13%	2	5,015

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

Win rate51.2%

Standing#6 of 19 · tier A

Pick rate8.9%

Most picked#3 of 19

Matches counted9,296

Unique players76

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Lion	58.09%	438	316	754
Jeffry	57.27%	126	94	220
Vanessa	55.89%	427	337	764
Shun	55.52%	337	270	607
Goh	54.48%	158	132	290
Jean	53.54%	106	92	198
Eileen	53.43%	187	163	350
Dural	53.06%	26	23	49
Pai	52.57%	184	166	350
Lei Fei	51.52%	220	207	427
Wolf	50.58%	175	171	346
Aoi	49.60%	124	126	250
Kage	48.94%	462	482	944
Lau	48.92%	521	544	1,065
Brad	48.86%	235	246	481
Akira	48.06%	519	561	1,080
Taka	47.70%	83	91	174
Sarah	47.32%	221	246	467
El Blaze	44.58%	214	266	480

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
Lion58.1%	58	63	56	52	71	62	72	54	53	53
Jeffry57.3%	45	48	59	57	68	67	36	65	61	53
Vanessa55.9%	56	63	52	59	58	52	53	63	50	54
Shun55.5%	57	59	49	50	51	59	79	47	50	65
Goh54.5%	42	46	53	58	46	65	67	67	62	45
Jean53.5%	62	52	55	63	50	28	100	50	67	50
Eileen53.4%	46	50	68	38	64	66	32	59	55	54
Dural53.1%	50	·	67	100	50	55	·	50	33	50
Pai52.6%	52	51	57	67	56	42	57	54	43	48
Lei Fei51.5%	61	51	54	56	50	52	48	51	45	51
Wolf50.6%	39	52	46	76	50	46	44	57	53	46
Aoi49.6%	50	48	42	48	55	46	83	52	36	70
Kage48.9%	42	45	51	45	45	53	60	54	46	50
Lau48.9%	41	45	46	52	53	62	52	48	38	55
Brad48.9%	43	55	53	40	50	52	58	50	38	51
Akira48.1%	37	45	50	48	53	59	48	44	54	50
Taka47.7%	60	36	42	62	29	29	56	67	56	62
Sarah47.3%	52	38	45	42	57	62	50	38	46	50
El Blaze44.6%	53	49	29	48	30	45	45	50	47	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-3.1 pts behind walls (95% interval -5.6 to -0.6); 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
Lion58.1%	56	61
Jeffry57.3%	57	62
Vanessa55.9%	57	55
Shun55.5%	52	58
Goh54.5%	55	52
Jean53.5%	58	42
Eileen53.4%	53	61
Dural53.1%	50	53
Pai52.6%	53	50
Lei Fei51.5%	53	51
Wolf50.6%	53	47
Aoi49.6%	46	54
Kage48.9%	47	49
Lau48.9%	45	57
Brad48.9%	48	51
Akira48.1%	46	54
Taka47.7%	52	39
Sarah47.3%	43	56
El Blaze44.6%	46	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
Lion54.7%	55	57	52	53	60	58	61	53	53	52
Shun54.4%	55	55	53	49	52	57	68	49	50	62
Jeffry54.2%	48	51	56	53	63	60	46	55	53	53
Vanessa52.4%	53	56	50	52	54	51	49	55	51	51
Eileen52.4%	50	49	58	44	54	57	46	57	53	55
Goh52.0%	45	47	52	55	48	57	58	57	56	50
Dural51.7%	44	·	67	67	50	51	·	54	43	56
Lei Fei51.0%	54	51	54	54	49	50	47	54	49	51
Wolf50.9%	45	50	49	64	53	47	44	56	51	51
Jean50.9%	53	49	52	53	51	37	75	48	63	50
Kage50.5%	48	50	51	48	49	52	57	53	48	49
Pai50.3%	47	49	51	60	53	46	56	52	46	49
Brad50.0%	43	54	54	48	49	51	51	51	44	54
Lau49.5%	47	48	48	51	53	55	50	48	44	52
Taka49.4%	57	44	47	56	42	40	51	54	55	57
Aoi49.3%	50	48	47	51	52	46	68	51	41	56
Akira49.0%	43	49	50	51	48	54	49	46	51	51
Sarah49.0%	51	45	47	47	52	54	51	43	49	52
El Blaze47.9%	52	52	41	50	40	47	48	50	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-1.4 pts behind walls (95% interval -2.8 to -0.1); within chance across the 20 characters tested, q=0.296

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
Lion54.7%	54	56
Shun54.4%	52	56
Jeffry54.2%	53	58
Vanessa52.4%	53	52
Eileen52.4%	52	56
Goh52.0%	52	51
Dural51.7%	50	51
Lei Fei51.0%	53	50
Wolf50.9%	52	50
Jean50.9%	53	46
Kage50.5%	50	50
Pai50.3%	50	50
Brad50.0%	50	51
Lau49.5%	48	53
Taka49.4%	52	45
Aoi49.3%	48	50
Akira49.0%	48	51
Sarah49.0%	47	53
El Blaze47.9%	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	8.75%	3	8,925
North America	8.73%	3	366
Europe	0.83%	18	23
South America	0.00%	15	0
Not recorded	21.58%	1	704