Virtua Fighter 5 REVO · v1.10 · Every character

Shun

Mid and high combined37,825 matchesMid ranks31,614 matchesHigh ranks6,211 matches

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 rate5.1%

Most picked#12 of 19

Matches counted37,825

Unique players245

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	51.54%	1,121	1,054	2,175
Vanessa	51.08%	802	768	1,570
Aoi	51.03%	842	808	1,650
Sarah	50.95%	969	933	1,902
Jeffry	50.66%	1,223	1,191	2,414
Lei Fei	50.00%	847	847	1,694
El Blaze	49.78%	779	786	1,565
Jean	49.59%	840	854	1,694
Pai	49.38%	877	899	1,776
Goh	49.32%	978	1,005	1,983
Jacky	49.13%	1,954	2,023	3,977
Akira	48.65%	1,978	2,088	4,066
Lau	48.34%	1,358	1,451	2,809
Kage	47.40%	1,194	1,325	2,519
Brad	46.94%	868	981	1,849
Lion	46.68%	1,060	1,211	2,271
Taka	45.93%	361	425	786
Eileen	45.22%	298	361	659
Dural	42.70%	199	267	466

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
Wolf51.5%	46	56	47	57	51	54	51	52	50	60
Vanessa51.1%	50	45	54	57	54	46	58	51	55	43
Aoi51.0%	42	47	47	53	54	57	51	61	50	48
Sarah51.0%	52	51	42	53	58	45	49	47	53	53
Jeffry50.7%	50	46	45	49	58	52	54	49	51	53
Lei Fei50.0%	60	47	49	50	46	55	48	50	42	54
El Blaze49.8%	52	45	53	50	46	43	51	56	52	51
Jean49.6%	49	52	50	49	47	55	50	46	48	50
Pai49.4%	47	48	49	45	51	54	52	49	52	42
Goh49.3%	49	45	50	50	51	51	57	50	45	48
Jacky49.1%	47	45	48	49	51	50	51	50	48	50
Akira48.6%	51	49	48	47	48	51	49	50	43	48
Lau48.3%	43	47	52	47	52	45	44	51	49	49
Kage47.4%	45	45	49	48	44	46	41	54	48	47
Brad46.9%	47	50	50	48	49	45	47	36	48	48
Lion46.7%	54	47	47	50	40	40	51	47	45	46
Taka45.9%	58	41	54	50	50	47	37	42	45	45
Eileen45.2%	42	35	54	45	50	51	50	54	46	31
Dural42.7%	37	47	33	46	36	44	41	67	46	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-0.7 pts behind walls (95% interval -1.9 to +0.6); within chance across the 20 characters tested, q=0.437

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
Wolf51.5%	51	55
Vanessa51.1%	52	47
Aoi51.0%	50	53
Sarah51.0%	50	52
Jeffry50.7%	48	55
Lei Fei50.0%	49	52
El Blaze49.8%	51	47
Jean49.6%	49	51
Pai49.4%	48	49
Goh49.3%	48	50
Jacky49.1%	48	50
Akira48.6%	48	49
Lau48.3%	48	49
Kage47.4%	48	46
Brad46.9%	47	47
Lion46.7%	48	42
Taka45.9%	48	47
Eileen45.2%	46	42
Dural42.7%	44	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
Wolf50.4%	48	52	46	53	50	52	51	50	50	55
Aoi49.9%	45	48	48	51	53	52	49	55	49	48
Vanessa49.8%	49	47	51	53	52	48	53	50	51	45
Sarah49.7%	50	51	44	53	53	48	51	48	49	50
Jeffry49.5%	49	48	46	49	53	50	50	48	50	51
Jean49.3%	49	51	50	49	49	53	50	49	47	47
El Blaze49.0%	50	47	49	50	47	47	49	52	50	50
Goh49.0%	48	48	50	50	50	50	53	49	47	47
Pai48.8%	48	48	48	46	50	51	49	49	50	46
Lei Fei48.8%	54	47	48	50	47	52	48	48	45	50
Jacky48.5%	48	47	47	48	49	49	50	48	48	50
Lau48.3%	46	47	50	48	50	47	44	50	48	50
Akira48.1%	49	48	47	47	47	49	50	49	46	47
Brad47.6%	47	50	48	49	49	47	46	42	48	48
Kage47.5%	46	47	48	47	46	47	44	51	47	48
Lion47.0%	50	47	48	50	44	44	49	48	46	46
Eileen46.6%	47	43	51	47	47	49	47	52	46	40
Taka46.4%	52	43	49	50	47	49	44	45	44	45
Dural45.5%	42	50	43	49	41	45	47	56	46	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-0.3 pts behind walls (95% interval -0.9 to +0.3); within chance across the 20 characters tested, q=0.455

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
Wolf50.4%	50	52
Aoi49.9%	49	51
Vanessa49.8%	50	49
Sarah49.7%	49	50
Jeffry49.5%	48	51
Jean49.3%	49	50
El Blaze49.0%	50	48
Goh49.0%	49	49
Pai48.8%	48	49
Lei Fei48.8%	48	50
Jacky48.5%	48	49
Lau48.3%	48	49
Akira48.1%	48	48
Brad47.6%	47	48
Kage47.5%	48	47
Lion47.0%	48	44
Eileen46.6%	47	44
Taka46.4%	47	47
Dural45.5%	47	43

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	5.14%	9	27,726
South America	5.50%	8	6,169
North America	4.47%	12	3,389
Europe	8.48%	3	1,478
Middle East	0.00%	17	0
Oceania	0.90%	7	2
Not recorded	2.71%	15	987

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

Win rate49.2%

Standing#14 of 19 · tier C

Pick rate5.0%

Most picked#12 of 19

Matches counted31,614

Unique players233

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	51.02%	722	693	1,415
Vanessa	50.89%	599	578	1,177
Lei Fei	50.80%	699	677	1,376
Wolf	50.71%	999	971	1,970
Goh	50.48%	841	825	1,666
Jeffry	50.47%	1,129	1,108	2,237
Sarah	50.31%	816	806	1,622
El Blaze	50.21%	595	590	1,185
Jacky	49.97%	1,684	1,686	3,370
Jean	49.34%	787	808	1,595
Lau	49.23%	1,053	1,086	2,139
Akira	49.14%	1,692	1,751	3,443
Pai	48.74%	757	796	1,553
Kage	47.84%	975	1,063	2,038
Brad	47.72%	734	804	1,538
Taka	46.56%	271	311	582
Lion	45.14%	818	994	1,812
Eileen	42.92%	191	254	445
Dural	42.79%	193	258	451

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
Aoi51.0%	42	47	49	53	53	56	50	61	49	50
Vanessa50.9%	53	43	53	60	52	45	55	52	60	37
Lei Fei50.8%	64	49	47	51	45	56	52	51	44	52
Wolf50.7%	46	54	46	56	50	53	48	51	48	59
Goh50.5%	52	47	52	50	55	51	56	49	46	49
Jeffry50.5%	49	47	46	47	57	50	56	49	52	52
Sarah50.3%	53	49	45	52	55	49	42	45	51	54
El Blaze50.2%	49	48	58	50	46	42	51	56	52	52
Jacky50.0%	48	45	47	49	51	53	55	49	48	52
Jean49.3%	48	54	49	48	46	56	48	46	48	51
Lau49.2%	44	48	52	48	53	49	49	52	48	48
Akira49.1%	52	50	49	47	49	49	50	51	43	48
Pai48.7%	44	47	49	44	50	55	53	49	51	42
Kage47.8%	43	46	52	46	46	47	42	54	47	47
Brad47.7%	49	51	52	48	49	46	47	38	49	48
Taka46.6%	56	40	58	51	49	52	44	48	42	42
Lion45.1%	55	45	43	48	33	42	51	47	42	46
Eileen42.9%	42	40	54	41	40	48	40	54	42	31
Dural42.8%	37	44	33	47	37	44	39	67	46	43

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 -2.1 to +0.6); within chance across the 20 characters tested, q=0.505

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
Aoi51.0%	50	53
Vanessa50.9%	53	45
Lei Fei50.8%	51	52
Wolf50.7%	50	54
Goh50.5%	49	52
Jeffry50.5%	48	54
Sarah50.3%	49	53
El Blaze50.2%	52	47
Jacky50.0%	48	52
Jean49.3%	49	51
Lau49.2%	49	50
Akira49.1%	49	49
Pai48.7%	47	49
Kage47.8%	48	47
Brad47.7%	48	47
Taka46.6%	48	47
Lion45.1%	46	41
Eileen42.9%	45	38
Dural42.8%	44	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
Wolf50.1%	48	52	46	53	50	52	49	50	49	55
Aoi49.9%	45	48	48	52	52	52	48	54	49	50
Vanessa49.7%	50	46	50	54	52	48	51	50	54	42
Goh49.6%	50	49	50	49	52	50	53	49	48	48
Sarah49.4%	50	50	46	53	52	50	47	47	48	51
Jeffry49.3%	49	49	47	48	52	49	51	48	50	51
Jean49.1%	49	51	50	49	48	52	49	49	47	47
Lei Fei49.0%	55	49	47	49	46	52	49	48	46	49
Jacky49.0%	48	47	47	48	50	50	53	48	47	52
El Blaze48.8%	48	47	51	49	48	46	49	52	50	49
Lau48.8%	47	48	50	48	50	49	47	51	48	49
Akira48.6%	50	49	48	48	48	49	50	50	46	48
Pai48.5%	46	47	48	46	49	52	49	50	49	47
Brad48.0%	48	50	50	49	49	47	46	43	48	48
Kage47.9%	45	48	50	47	47	47	44	51	47	48
Taka46.6%	50	43	50	50	46	52	46	48	43	44
Lion46.4%	51	45	46	49	40	45	50	48	44	47
Dural45.6%	42	48	43	49	42	45	45	56	46	43
Eileen45.3%	48	45	51	43	39	47	43	52	43	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-0.4 pts behind walls (95% interval -1.1 to +0.2); within chance across the 20 characters tested, q=0.507

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
Wolf50.1%	50	52
Aoi49.9%	49	51
Vanessa49.7%	51	47
Goh49.6%	49	50
Sarah49.4%	49	51
Jeffry49.3%	49	51
Jean49.1%	49	49
Lei Fei49.0%	49	49
Jacky49.0%	48	50
El Blaze48.8%	49	48
Lau48.8%	49	49
Akira48.6%	48	48
Pai48.5%	48	49
Brad48.0%	48	48
Kage47.9%	48	47
Taka46.6%	47	48
Lion46.4%	47	44
Dural45.6%	47	43
Eileen45.3%	47	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	5.01%	11	21,901
South America	5.39%	8	6,022
North America	4.45%	11	3,183
Europe	7.76%	5	1,138
Middle East	0.00%	17	0
Oceania	0.90%	7	2
Not recorded	2.91%	15	966

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

Win rate48.2%

Standing#14 of 19 · tier C

Pick rate5.8%

Most picked#7 of 19

Matches counted6,211

Unique players32

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	59.51%	122	83	205
Sarah	54.64%	153	127	280
Pai	53.81%	120	103	223
Jean	53.54%	53	46	99
Jeffry	53.11%	94	83	177
Lion	52.72%	242	217	459
Vanessa	51.65%	203	190	393
Aoi	51.06%	120	115	235
Eileen	50.00%	107	107	214
El Blaze	48.42%	184	196	380
Lei Fei	46.54%	148	170	318
Akira	45.91%	286	337	623
Kage	45.53%	219	262	481
Lau	45.52%	305	365	670
Jacky	44.48%	270	337	607
Taka	44.12%	90	114	204
Goh	43.22%	137	180	317
Brad	43.09%	134	177	311
Dural	40.00%	6	9	15

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
Wolf59.5%	48	86	52	64	62	59	71	52	68	69
Sarah54.6%	46	67	31	58	73	21	76	58	65	50
Pai53.8%	74	67	48	52	54	48	25	48	55	45
Jean53.5%	70	33	62	54	100	44	71	57	44	43
Jeffry53.1%	52	44	27	89	67	68	29	50	37	64
Lion52.7%	52	58	61	60	67	31	50	45	54	47
Vanessa51.6%	38	49	57	51	58	51	65	49	38	57
Aoi51.1%	44	42	40	52	62	62	62	67	58	40
Eileen50.0%	40	22	54	52	63	55	69	52	55	29
El Blaze48.4%	60	37	39	54	43	45	50	56	52	50
Lei Fei46.5%	48	39	56	48	50	47	20	49	24	61
Akira45.9%	47	42	40	45	45	60	46	46	46	49
Kage45.5%	52	41	30	56	37	43	38	55	49	48
Lau45.5%	42	39	51	43	49	34	36	46	51	53
Jacky44.5%	43	41	51	50	49	41	21	53	50	35
Taka44.1%	62	43	40	48	53	35	25	18	56	52
Goh43.2%	40	39	38	50	36	50	61	58	38	43
Brad43.1%	38	47	41	47	48	38	42	32	44	48
Dural40.0%	0	67	·	0	0	0	67	·	·	0

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-0.2 pts behind walls (95% interval -3.2 to +2.9); within chance across the 20 characters tested, q=0.918

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
Wolf59.5%	59	63
Sarah54.6%	55	49
Pai53.8%	55	49
Jean53.5%	52	55
Jeffry53.1%	47	67
Lion52.7%	55	48
Vanessa51.6%	48	56
Aoi51.1%	49	53
Eileen50.0%	47	48
El Blaze48.4%	50	46
Lei Fei46.5%	45	56
Akira45.9%	45	50
Kage45.5%	48	43
Lau45.5%	46	46
Jacky44.5%	48	42
Taka44.1%	46	46
Goh43.2%	43	42
Brad43.1%	41	45
Dural40.0%	50	0

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
Wolf53.0%	47	65	47	52	54	51	61	54	56	58
Jeffry52.3%	49	42	38	74	60	64	32	54	44	62
Jean51.7%	56	44	57	55	80	54	59	50	46	45
Sarah51.5%	45	57	39	52	60	35	69	53	55	49
Pai50.6%	64	59	47	47	50	50	42	47	52	44
Vanessa50.2%	46	50	55	51	54	50	57	49	39	52
El Blaze49.7%	56	46	43	54	45	48	50	52	51	54
Aoi49.4%	43	47	46	47	59	54	57	59	50	42
Lion49.4%	49	54	54	54	56	39	48	46	50	44
Eileen49.4%	45	37	51	52	57	53	54	51	52	37
Lei Fei47.6%	48	40	52	52	50	51	40	48	33	55
Lau46.6%	42	43	49	46	48	39	39	49	51	52
Taka45.9%	57	43	45	49	50	41	41	33	48	48
Kage45.8%	49	43	37	49	42	45	41	51	48	47
Brad45.7%	41	51	44	52	49	46	46	40	44	47
Goh45.6%	43	44	48	54	41	46	56	52	39	46
Jacky45.6%	45	45	47	51	48	43	32	51	50	38
Akira45.2%	48	43	44	47	42	52	47	47	46	44
Dural43.4%	0	59	·	0	25	25	70	·	·	14

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 -1.2 to +2.0); within chance across the 20 characters tested, q=0.729

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
Wolf53.0%	52	54
Jeffry52.3%	48	61
Jean51.7%	51	55
Sarah51.5%	51	48
Pai50.6%	52	48
Vanessa50.2%	48	52
El Blaze49.7%	50	49
Aoi49.4%	49	51
Lion49.4%	51	46
Eileen49.4%	48	49
Lei Fei47.6%	46	53
Lau46.6%	47	47
Taka45.9%	47	46
Kage45.8%	47	45
Brad45.7%	44	48
Goh45.6%	46	44
Jacky45.6%	48	44
Akira45.2%	46	46
Dural43.4%	46	20

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	5.71%	7	5,825
North America	4.91%	8	206
Europe	12.34%	3	340
South America	25.97%	2	147
Not recorded	0.64%	19	21