Virtua Fighter 5 REVO · v1.10 · Every character

Goh

Mid and high combined40,513 matchesMid ranks36,783 matchesHigh ranks3,730 matches

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

Win rate48.8%

Standing#17 of 19 · tier C

Pick rate5.4%

Most picked#8 of 19

Matches counted40,513

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
Dural	51.82%	242	225	467
Shun	50.68%	1,005	978	1,983
Wolf	50.66%	1,182	1,151	2,333
Akira	50.48%	2,312	2,268	4,580
Sarah	49.91%	1,100	1,104	2,204
Aoi	49.68%	844	855	1,699
Jeffry	49.42%	1,199	1,227	2,426
Brad	49.07%	1,076	1,117	2,193
Jacky	49.01%	2,132	2,218	4,350
Pai	48.62%	934	987	1,921
Vanessa	48.32%	789	844	1,633
Jean	48.12%	1,163	1,254	2,417
Kage	48.09%	1,219	1,316	2,535
Lau	48.03%	1,281	1,386	2,667
Lei Fei	47.16%	790	885	1,675
Lion	46.77%	1,049	1,194	2,243
El Blaze	46.03%	788	924	1,712
Eileen	45.98%	349	410	759
Taka	44.41%	318	398	716

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
Dural51.8%	58	48	43	58	56	54	50	55	49	48
Shun50.7%	51	55	50	50	49	49	43	50	55	52
Wolf50.7%	48	49	50	45	53	57	52	51	51	51
Akira50.5%	48	47	55	50	53	54	53	48	48	49
Sarah49.9%	50	50	50	48	54	48	45	48	52	53
Aoi49.7%	48	52	51	54	48	52	47	51	44	49
Jeffry49.4%	44	51	43	48	49	49	53	55	49	53
Brad49.1%	43	47	42	57	49	46	53	53	50	50
Jacky49.0%	50	45	49	46	49	48	53	48	50	54
Pai48.6%	48	47	51	48	52	52	53	43	47	49
Vanessa48.3%	49	47	44	54	44	44	46	50	45	56
Jean48.1%	51	55	43	50	46	48	51	43	48	53
Kage48.1%	46	52	44	43	46	50	50	45	52	51
Lau48.0%	49	43	48	52	47	54	45	46	44	51
Lei Fei47.2%	51	43	47	48	45	44	52	46	52	51
Lion46.8%	47	52	50	45	48	45	45	44	48	43
El Blaze46.0%	46	42	51	45	51	43	45	43	48	44
Eileen46.0%	47	53	49	45	46	43	40	48	43	46
Taka44.4%	40	43	45	41	46	35	45	45	49	51

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 -2.6 to -0.1); within chance across the 20 characters tested, q=0.155

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
Dural51.8%	52	54
Shun50.7%	52	50
Wolf50.7%	49	54
Akira50.5%	49	52
Sarah49.9%	50	51
Aoi49.7%	50	50
Jeffry49.4%	48	50
Brad49.1%	49	49
Jacky49.0%	48	50
Pai48.6%	47	51
Vanessa48.3%	48	47
Jean48.1%	48	49
Kage48.1%	47	49
Lau48.0%	47	51
Lei Fei47.2%	48	47
Lion46.8%	48	46
El Blaze46.0%	46	46
Eileen46.0%	47	45
Taka44.4%	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
Shun51.0%	52	52	50	50	50	50	47	51	53	53
Akira50.5%	50	48	52	50	52	52	52	50	50	49
Dural50.5%	53	48	47	52	54	52	52	51	51	47
Wolf50.4%	49	48	51	48	52	54	52	51	50	51
Aoi50.1%	49	51	51	53	50	51	48	51	48	49
Sarah49.8%	50	50	51	48	52	49	47	49	51	51
Jeffry49.7%	48	49	47	50	48	50	52	52	50	51
Jacky49.5%	50	47	49	48	49	49	53	49	50	52
Pai49.4%	49	48	50	50	50	52	51	47	49	49
Brad49.3%	46	48	45	54	50	49	49	51	49	50
Vanessa49.2%	48	49	49	52	47	46	47	50	48	54
Kage49.1%	47	52	46	47	48	50	49	49	51	51
Lau48.9%	49	47	49	50	49	51	48	48	47	50
Jean48.7%	50	51	47	50	48	49	50	46	49	51
Lei Fei48.4%	49	45	49	51	47	47	52	48	51	49
Eileen48.3%	48	53	49	47	48	48	44	50	45	51
El Blaze48.2%	49	47	50	49	51	47	46	47	48	45
Lion48.2%	48	51	50	47	47	48	48	47	50	47
Taka47.2%	45	47	47	45	48	39	49	49	49	50

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 -1.2 to +0.0); within chance across the 20 characters tested, q=0.234

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%	51	51
Akira50.5%	50	51
Dural50.5%	50	52
Wolf50.4%	49	52
Aoi50.1%	50	50
Sarah49.8%	50	51
Jeffry49.7%	49	50
Jacky49.5%	49	50
Pai49.4%	49	50
Brad49.3%	49	50
Vanessa49.2%	49	49
Kage49.1%	49	50
Lau48.9%	48	50
Jean48.7%	49	49
Lei Fei48.4%	49	48
Eileen48.3%	48	49
El Blaze48.2%	48	48
Lion48.2%	49	47
Taka47.2%	47	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	5.07%	10	27,332
South America	5.72%	6	6,421
North America	8.64%	3	6,543
Europe	7.49%	5	1,305
Middle East	0.00%	12	0
Oceania	0.00%	11	0
Not recorded	2.40%	17	872

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

Win rate48.9%

Standing#18 of 19 · tier D

Pick rate5.8%

Most picked#7 of 19

Matches counted36,783

Unique players272

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	51.48%	226	213	439
Akira	50.54%	2,170	2,124	4,294
Wolf	50.47%	1,123	1,102	2,225
Jeffry	50.06%	1,163	1,160	2,323
Aoi	49.88%	806	810	1,616
Brad	49.63%	996	1,011	2,007
Shun	49.52%	825	841	1,666
Jacky	49.26%	2,000	2,060	4,060
Sarah	48.91%	990	1,034	2,024
Lau	48.85%	1,082	1,133	2,215
Pai	48.58%	887	939	1,826
Vanessa	48.40%	620	661	1,281
Kage	48.29%	1,074	1,150	2,224
Lei Fei	48.06%	745	805	1,550
Jean	48.00%	1,114	1,207	2,321
El Blaze	46.53%	697	801	1,498
Lion	46.40%	902	1,042	1,944
Taka	44.34%	282	354	636
Eileen	43.69%	277	357	634

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
Dural51.5%	56	49	41	55	60	54	50	56	47	48
Akira50.5%	48	47	55	50	53	54	54	48	48	50
Wolf50.5%	47	49	51	45	54	56	53	51	50	51
Jeffry50.1%	46	52	43	49	49	50	54	55	50	53
Aoi49.9%	49	52	51	56	47	52	49	51	44	48
Brad49.6%	42	49	44	57	49	47	57	53	50	50
Shun49.5%	48	53	48	50	45	49	44	51	54	51
Jacky49.3%	49	44	49	47	48	49	54	50	51	54
Sarah48.9%	49	49	49	46	54	45	42	48	51	52
Lau48.9%	50	43	49	54	47	54	44	48	45	49
Pai48.6%	49	48	50	47	52	52	53	43	45	48
Vanessa48.4%	48	49	43	51	41	46	49	50	45	58
Kage48.3%	47	52	43	42	46	49	53	48	52	51
Lei Fei48.1%	52	45	48	48	47	44	54	47	51	52
Jean48.0%	51	56	43	49	45	49	52	42	48	52
El Blaze46.5%	49	43	50	45	52	44	46	42	48	43
Lion46.4%	47	53	49	43	48	47	43	43	49	44
Taka44.3%	46	41	47	40	47	32	40	45	49	50
Eileen43.7%	45	50	51	43	43	43	39	44	39	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-1.2 pts behind walls (95% interval -2.5 to +0.1); within chance across the 20 characters tested, q=0.194

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
Dural51.5%	51	55
Akira50.5%	49	52
Wolf50.5%	49	53
Jeffry50.1%	49	51
Aoi49.9%	50	49
Brad49.6%	49	49
Shun49.5%	51	48
Jacky49.3%	48	51
Sarah48.9%	49	50
Lau48.9%	48	50
Pai48.6%	47	51
Vanessa48.4%	48	47
Kage48.3%	47	49
Lei Fei48.1%	48	48
Jean48.0%	48	49
El Blaze46.5%	46	47
Lion46.4%	47	46
Taka44.3%	45	43
Eileen43.7%	45	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
Akira50.5%	50	48	52	50	52	53	53	49	50	49
Shun50.4%	50	51	50	51	48	50	47	51	52	52
Wolf50.4%	49	48	51	48	52	53	53	51	49	51
Dural50.3%	52	49	47	51	55	52	52	51	50	47
Aoi50.2%	49	51	50	54	49	51	50	51	48	49
Jeffry50.0%	49	50	47	50	49	50	52	52	50	51
Jacky49.6%	50	46	49	48	49	50	53	50	51	52
Brad49.6%	46	49	46	55	50	49	52	51	49	50
Pai49.4%	50	48	50	50	50	52	51	48	48	49
Sarah49.3%	49	49	50	48	52	48	46	49	50	51
Lau49.3%	49	47	49	51	49	51	48	49	48	50
Kage49.1%	47	52	45	46	49	49	51	50	52	50
Vanessa49.1%	47	50	48	51	46	47	49	50	47	54
Lei Fei48.9%	49	45	50	50	48	47	52	49	51	50
Jean48.6%	50	52	47	50	48	49	50	45	49	50
El Blaze48.4%	50	48	49	49	51	48	46	46	48	45
Lion47.9%	47	52	50	46	47	49	47	46	50	48
Taka47.3%	47	47	48	44	48	37	48	49	50	50
Eileen47.2%	47	52	51	45	46	47	44	49	43	49

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 -1.1 to +0.1); within chance across the 20 characters tested, q=0.323

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
Akira50.5%	50	51
Shun50.4%	51	50
Wolf50.4%	49	52
Dural50.3%	50	52
Aoi50.2%	50	50
Jeffry50.0%	50	50
Jacky49.6%	49	50
Brad49.6%	49	50
Pai49.4%	49	50
Sarah49.3%	49	50
Lau49.3%	49	50
Kage49.1%	49	49
Vanessa49.1%	49	49
Lei Fei48.9%	49	48
Jean48.6%	48	49
El Blaze48.4%	48	48
Lion47.9%	48	48
Taka47.3%	48	45
Eileen47.2%	47	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	5.40%	10	23,624
South America	5.75%	6	6,421
North America	9.13%	3	6,535
Europe	8.31%	4	1,220
Middle East	0.00%	12	0
Oceania	0.00%	11	0
Not recorded	2.51%	17	831

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

Win rate48.1%

Standing#15 of 19 · tier C

Pick rate3.4%

Most picked#14 of 19

Matches counted3,730

Unique players20

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	61.11%	110	70	180
Eileen	57.60%	72	53	125
Dural	57.14%	16	12	28
Shun	56.78%	180	137	317
Wolf	54.63%	59	49	108
Jean	51.04%	49	47	96
Akira	49.65%	142	144	286
Pai	49.47%	47	48	95
Lion	49.16%	147	152	299
Vanessa	48.01%	169	183	352
Kage	46.62%	145	166	311
Aoi	45.78%	38	45	83
Jacky	45.52%	132	158	290
Taka	45.00%	36	44	80
Lau	44.03%	199	253	452
Brad	43.01%	80	106	186
El Blaze	42.52%	91	123	214
Lei Fei	36.00%	45	80	125
Jeffry	34.95%	36	67	103

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
Sarah61.1%	57	63	60	58	60	80	64	56	75	60
Eileen57.6%	58	67	43	54	64	40	50	64	62	60
Dural57.1%	75	33	60	100	20	50	·	33	100	·
Shun56.8%	60	61	62	50	64	50	39	42	62	57
Wolf54.6%	69	56	40	50	36	80	40	43	53	60
Jean51.0%	46	20	46	61	67	0	0	57	67	62
Akira49.6%	57	49	50	43	56	49	33	50	50	45
Pai49.5%	35	33	78	67	62	0	50	33	80	57
Lion49.2%	53	49	53	54	48	38	54	47	45	40
Vanessa48.0%	54	40	50	59	54	33	33	50	48	51
Kage46.6%	41	54	52	50	39	57	25	23	48	50
Aoi45.8%	40	45	56	27	75	60	29	46	43	67
Jacky45.5%	58	54	47	42	54	35	33	33	38	55
Taka45.0%	10	55	38	57	38	50	80	40	0	56
Lau44.0%	43	40	40	40	44	58	48	36	40	56
Brad43.0%	50	18	20	59	50	38	9	52	43	50
El Blaze42.5%	34	39	59	44	36	28	33	48	50	49
Lei Fei36.0%	33	24	27	54	23	33	33	39	64	39
Jeffry35.0%	20	38	30	36	44	40	0	33	20	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-2.8 pts behind walls (95% interval -6.8 to +1.1); within chance across the 20 characters tested, q=0.569

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
Sarah61.1%	61	66
Eileen57.6%	57	58
Dural57.1%	65	29
Shun56.8%	57	58
Wolf54.6%	53	61
Jean51.0%	52	55
Akira49.6%	49	49
Pai49.5%	48	57
Lion49.2%	50	42
Vanessa48.0%	50	47
Kage46.6%	44	50
Aoi45.8%	43	67
Jacky45.5%	45	48
Taka45.0%	38	48
Lau44.0%	40	53
Brad43.0%	44	46
El Blaze42.5%	44	41
Lei Fei36.0%	39	32
Jeffry35.0%	30	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
Sarah55.0%	56	53	54	52	53	62	58	50	65	59
Eileen54.4%	54	60	44	57	58	52	41	56	54	57
Shun54.4%	57	56	52	46	59	54	44	48	61	54
Dural52.7%	60	36	52	69	37	57	·	45	75	·
Pai50.9%	42	45	61	50	56	0	50	46	67	56
Wolf50.7%	53	47	44	54	44	62	45	41	53	52
Jean50.2%	48	33	47	54	61	18	40	55	50	58
Lion49.8%	55	50	52	51	46	48	54	50	48	39
Vanessa49.5%	51	47	53	55	51	43	39	50	50	52
Akira49.3%	51	49	49	48	53	47	38	52	52	44
Kage49.1%	44	55	52	49	46	54	38	38	49	53
Aoi48.7%	45	45	53	43	67	58	34	51	50	58
Jacky48.0%	55	53	48	45	52	43	42	43	44	50
Lau47.3%	48	45	49	43	48	54	48	45	43	52
El Blaze47.0%	40	46	55	52	46	42	46	51	49	47
Brad46.3%	47	35	30	53	51	46	24	52	46	51
Taka46.3%	34	51	42	54	47	48	57	42	25	49
Lei Fei42.5%	39	41	34	54	38	33	44	47	51	39
Jeffry41.3%	33	37	41	45	39	43	33	47	41	49

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 -3.2 to +0.9); 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
Sarah55.0%	55	58
Eileen54.4%	54	57
Shun54.4%	54	56
Dural52.7%	56	42
Pai50.9%	50	54
Wolf50.7%	50	54
Jean50.2%	50	53
Lion49.8%	51	45
Vanessa49.5%	51	49
Akira49.3%	50	48
Kage49.1%	48	52
Aoi48.7%	48	60
Jacky48.0%	48	49
Lau47.3%	46	51
El Blaze47.0%	48	45
Brad46.3%	46	49
Taka46.3%	44	48
Lei Fei42.5%	44	38
Jeffry41.3%	39	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	3.63%	13	3,708
North America	0.19%	19	8
Europe	3.08%	12	85
South America	0.00%	14	0
Not recorded	1.26%	14	41