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

Win rate50.5%

Standing#8 of 19 · tier B

Pick rate4.2%

Most picked#14 of 19

Matches counted69,717

Unique players683

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	53.87%	2,443	2,092	4,535
Jacky	52.96%	3,586	3,185	6,771
Jeffry	52.07%	2,143	1,973	4,116
Shun	51.37%	1,841	1,743	3,584
Vanessa	51.36%	1,266	1,199	2,465
Dural	50.97%	316	304	620
Goh	50.93%	2,026	1,952	3,978
Jean	50.75%	1,736	1,685	3,421
Sarah	50.49%	2,075	2,035	4,110
Lion	50.30%	1,862	1,840	3,702
Pai	50.26%	1,963	1,943	3,906
El Blaze	50.19%	1,336	1,326	2,662
Akira	49.94%	4,150	4,160	8,310
Lau	49.92%	2,059	2,066	4,125
Kage	48.45%	2,153	2,291	4,444
Eileen	48.21%	632	679	1,311
Aoi	47.85%	1,860	2,027	3,887
Lei Fei	46.64%	1,125	1,287	2,412
Taka	45.43%	617	741	1,358

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Match WP

WP = win probability. Change from this character's own match 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
Wolf53.9%	54	53	55	56	57	52	52	56	56	49
Jacky53.0%	55	53	50	52	54	55	51	56	51	53
Jeffry52.1%	53	50	52	55	53	52	54	53	48	53
Shun51.4%	53	51	51	50	50	50	53	56	53	49
Vanessa51.4%	54	48	45	54	50	50	53	46	52	57
Dural51.0%	44	56	48	45	55	50	62	56	43	57
Goh50.9%	56	52	58	47	48	51	52	47	50	49
Jean50.8%	48	51	54	52	49	52	50	52	53	46
Sarah50.5%	52	50	50	50	50	50	51	56	46	51
Lion50.3%	47	51	54	48	51	52	48	55	48	50
Pai50.3%	45	50	45	47	52	53	58	53	51	52
El Blaze50.2%	49	52	54	50	46	49	52	54	44	53
Akira49.9%	50	50	47	54	52	52	50	47	48	51
Lau49.9%	49	51	49	51	49	51	52	45	49	54
Kage48.5%	48	48	48	48	49	48	47	50	48	50
Eileen48.2%	46	50	53	44	48	47	53	44	49	48
Aoi47.9%	46	49	49	51	47	47	47	51	47	44
Lei Fei46.6%	42	47	46	45	46	55	50	47	50	43
Taka45.4%	50	43	43	37	33	47	49	48	58	49

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 -1.3 to +0.9); within chance across the 20 characters tested, q=0.913

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.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Wolf53.9%	55	52
Jacky53.0%	53	54
Jeffry52.1%	52	53
Shun51.4%	52	50
Vanessa51.4%	50	53
Dural51.0%	49	54
Goh50.9%	51	49
Jean50.8%	52	49
Sarah50.5%	51	50
Lion50.3%	51	51
Pai50.3%	48	52
El Blaze50.2%	50	49
Akira49.9%	49	52
Lau49.9%	49	51
Kage48.5%	48	49
Eileen48.2%	48	48
Aoi47.9%	49	46
Lei Fei46.6%	46	48
Taka45.4%	47	44

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = 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
Wolf52.0%	53	52	53	52	53	51	52	53	53	50
Shun51.7%	53	51	52	50	51	51	53	54	53	51
Jacky51.5%	53	51	50	51	52	53	52	52	51	52
Jeffry51.2%	52	50	51	53	52	50	52	52	49	52
Vanessa50.7%	52	49	47	51	50	50	52	49	51	53
Goh50.7%	54	51	54	49	49	51	52	49	51	49
Jean50.3%	51	50	52	50	50	51	50	50	51	48
Lion50.1%	48	51	51	50	51	52	48	53	49	50
Sarah50.0%	51	49	50	49	51	50	50	53	48	51
El Blaze50.0%	49	50	52	49	49	49	52	52	47	52
Akira50.0%	51	50	49	52	51	50	50	48	49	51
Pai50.0%	47	50	47	49	51	52	53	52	50	50
Dural49.9%	47	49	50	46	52	51	59	52	46	51
Lau49.6%	49	50	49	50	49	51	52	47	49	52
Kage49.0%	49	49	50	49	49	48	48	49	48	50
Aoi49.0%	48	49	50	51	48	49	48	51	49	47
Eileen48.9%	47	50	52	47	49	49	51	46	49	50
Lei Fei48.0%	47	49	47	47	46	52	50	49	49	47
Taka47.8%	50	46	46	44	41	48	48	50	54	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-0.1 pts behind walls (95% interval -0.7 to +0.5); within chance across the 20 characters tested, q=0.901

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
Wolf52.0%	53	51
Shun51.7%	52	51
Jacky51.5%	51	52
Jeffry51.2%	51	52
Vanessa50.7%	50	51
Goh50.7%	51	50
Jean50.3%	51	50
Lion50.1%	50	51
Sarah50.0%	50	50
El Blaze50.0%	50	50
Akira50.0%	50	51
Pai50.0%	49	51
Dural49.9%	48	51
Lau49.6%	49	51
Kage49.0%	49	49
Aoi49.0%	50	48
Eileen48.9%	48	49
Lei Fei48.0%	48	48
Taka47.8%	49	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	4.24%	14	38,282
North America	4.77%	10	13,446
South America	3.33%	16	10,630
Europe	4.00%	12	1,728
Oceania	13.79%	3	1,000
Middle East	0.10%	11	2
Not recorded	4.79%	11	7,865

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

Win rate51.0%

Standing#5 of 19 · tier A

Pick rate3.1%

Most picked#15 of 19

Matches counted24,128

Unique players500

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Lau	54.69%	536	444	980
Wolf	54.38%	1,024	859	1,883
Dural	52.41%	76	69	145
Lion	52.07%	542	499	1,041
El Blaze	51.74%	475	443	918
Goh	51.40%	716	677	1,393
Jacky	51.40%	1,138	1,076	2,214
Vanessa	51.20%	364	347	711
Akira	51.07%	1,737	1,664	3,401
Jeffry	51.00%	712	684	1,396
Sarah	50.66%	840	818	1,658
Shun	50.21%	708	702	1,410
Aoi	50.20%	900	893	1,793
Kage	50.05%	518	517	1,035
Pai	49.97%	835	836	1,671
Taka	48.51%	212	225	437
Jean	47.92%	438	476	914
Eileen	46.83%	244	277	521
Lei Fei	46.79%	284	323	607

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Match WP

WP = win probability. Change from this character's own match 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
Lau54.7%	53	61	56	49	58	56	55	51	49	63
Wolf54.4%	60	58	54	54	61	48	53	50	56	49
Dural52.4%	60	59	64	33	67	29	50	56	30	62
Lion52.1%	51	49	58	60	57	48	43	53	49	48
El Blaze51.7%	51	52	58	45	44	53	53	62	48	53
Goh51.4%	57	49	57	51	46	47	62	46	56	49
Jacky51.4%	56	51	48	52	56	46	50	57	47	52
Vanessa51.2%	52	43	55	59	39	61	47	41	49	52
Akira51.1%	55	48	50	53	55	55	51	44	50	53
Jeffry51.0%	54	51	52	47	54	50	54	49	53	52
Sarah50.7%	53	48	54	51	50	52	49	53	41	54
Shun50.2%	54	53	53	48	47	46	51	51	53	49
Aoi50.2%	48	55	50	55	48	54	51	52	45	46
Kage50.0%	49	49	47	57	54	48	49	52	49	45
Pai50.0%	39	48	46	42	54	55	55	56	52	52
Taka48.5%	50	38	42	37	45	55	64	63	59	49
Jean47.9%	38	41	54	45	42	58	51	54	50	45
Eileen46.8%	47	43	39	38	49	51	60	46	52	43
Lei Fei46.8%	45	45	38	52	47	56	48	53	41	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-0.5 pts behind walls (95% interval -2.3 to +1.3); within chance across the 20 characters tested, q=0.917

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
Lau54.7%	53	59
Wolf54.4%	55	53
Dural52.4%	54	52
Lion52.1%	53	51
El Blaze51.7%	53	50
Goh51.4%	52	48
Jacky51.4%	52	51
Vanessa51.2%	50	51
Akira51.1%	50	54
Jeffry51.0%	51	52
Sarah50.7%	50	52
Shun50.2%	52	47
Aoi50.2%	51	49
Kage50.0%	51	49
Pai50.0%	48	54
Taka48.5%	47	50
Jean47.9%	48	49
Eileen46.8%	45	48
Lei Fei46.8%	46	47

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = 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
Lau52.3%	50	55	53	50	55	55	52	49	49	56
Wolf52.0%	55	55	53	51	54	48	52	50	53	48
Shun51.4%	54	51	52	50	50	51	51	50	53	50
Goh51.1%	55	49	54	52	48	50	55	47	51	50
El Blaze51.0%	51	50	53	47	48	51	53	54	51	52
Lion51.0%	49	49	52	55	55	50	46	53	50	49
Jeffry50.9%	52	50	52	49	53	50	54	49	51	51
Jacky50.9%	54	50	50	50	53	47	52	54	49	52
Akira50.6%	53	48	50	51	53	51	51	47	51	52
Sarah50.4%	52	49	52	49	52	51	50	52	45	53
Vanessa50.4%	52	47	54	54	45	53	47	46	48	51
Dural50.3%	55	49	65	46	57	35	54	49	43	53
Aoi50.1%	48	52	50	53	49	51	50	52	48	48
Kage50.1%	49	50	50	53	52	47	50	53	49	48
Pai50.0%	44	49	48	47	53	52	51	52	51	50
Taka49.5%	51	43	47	43	49	51	55	60	55	51
Jean49.0%	44	46	51	48	47	54	51	50	51	49
Eileen48.8%	48	47	46	44	49	51	53	48	51	47
Lei Fei48.1%	51	48	42	49	48	54	50	50	45	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-0.3 pts behind walls (95% interval -1.2 to +0.7); within chance across the 20 characters tested, q=0.722

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
Lau52.3%	51	55
Wolf52.0%	53	50
Shun51.4%	52	51
Goh51.1%	51	49
El Blaze51.0%	51	51
Lion51.0%	51	52
Jeffry50.9%	51	51
Jacky50.9%	51	51
Akira50.6%	50	52
Sarah50.4%	50	52
Vanessa50.4%	50	50
Dural50.3%	51	47
Aoi50.1%	51	49
Kage50.1%	51	49
Pai50.0%	49	52
Taka49.5%	49	50
Jean49.0%	49	50
Eileen48.8%	48	49
Lei Fei48.1%	47	49

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	2.87%	15	7,806
North America	2.41%	16	4,604
South America	2.93%	16	5,384
Europe	3.75%	12	893
Oceania	14.24%	3	984
Middle East	0.00%	8	0
Not recorded	4.44%	11	5,099

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

Win rate50.4%

Standing#8 of 19 · tier B

Pick rate5.2%

Most picked#10 of 19

Matches counted38,615

Unique players273

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jacky	54.45%	2,155	1,803	3,958
Wolf	53.64%	1,229	1,062	2,291
Jeffry	52.94%	1,289	1,146	2,435
Jean	51.81%	1,233	1,147	2,380
Vanessa	51.51%	683	643	1,326
Shun	51.30%	945	897	1,842
Pai	51.12%	1,029	984	2,013
Dural	50.22%	229	227	456
El Blaze	50.00%	720	720	1,440
Goh	50.00%	1,189	1,189	2,378
Sarah	49.95%	1,090	1,092	2,182
Akira	49.84%	2,047	2,060	4,107
Lau	49.54%	1,234	1,257	2,491
Lion	49.53%	992	1,011	2,003
Eileen	48.51%	261	277	538
Kage	47.55%	1,329	1,466	2,795
Lei Fei	47.30%	666	742	1,408
Taka	45.60%	352	420	772
Aoi	44.28%	797	1,003	1,800

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Match WP

WP = win probability. Change from this character's own match 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
Jacky54.5%	55	55	51	52	53	61	54	57	52	54
Wolf53.6%	50	48	56	58	54	55	50	60	58	48
Jeffry52.9%	52	49	54	59	55	53	55	53	46	53
Jean51.8%	51	54	55	53	50	50	49	52	55	46
Vanessa51.5%	51	48	41	50	55	48	53	48	58	59
Shun51.3%	50	50	49	50	52	52	53	58	51	47
Pai51.1%	49	54	45	52	50	51	58	51	51	53
Dural50.2%	40	54	40	44	52	56	70	58	47	56
El Blaze50.0%	48	51	55	53	48	47	51	51	45	52
Goh50.0%	56	52	57	45	50	52	43	48	46	49
Sarah50.0%	50	50	48	48	50	47	53	58	49	47
Akira49.8%	47	51	47	58	48	50	49	50	47	52
Lau49.5%	49	50	48	53	44	50	54	47	47	54
Lion49.5%	46	49	52	46	49	51	45	59	49	51
Eileen48.5%	53	56	58	50	43	49	50	33	43	51
Kage47.5%	45	47	47	43	45	48	47	51	48	51
Lei Fei47.3%	42	47	55	43	46	57	54	42	50	41
Taka45.6%	51	48	45	40	30	44	36	44	61	49
Aoi44.3%	41	42	47	46	44	38	43	47	49	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+0.3 pts behind walls (95% interval -1.0 to +1.5); within chance across the 20 characters tested, q=0.860

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
Jacky54.5%	54	56
Wolf53.6%	55	52
Jeffry52.9%	52	54
Jean51.8%	53	49
Vanessa51.5%	50	54
Shun51.3%	51	51
Pai51.1%	50	51
Dural50.2%	47	55
El Blaze50.0%	50	49
Goh50.0%	50	50
Sarah50.0%	51	48
Akira49.8%	50	50
Lau49.5%	49	49
Lion49.5%	50	50
Eileen48.5%	49	47
Kage47.5%	47	48
Lei Fei47.3%	46	48
Taka45.6%	48	42
Aoi44.3%	46	41

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = 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
Jacky52.3%	52	52	51	52	51	56	53	53	51	52
Wolf52.0%	51	49	53	53	51	54	51	55	53	50
Jeffry51.7%	52	49	52	54	53	51	51	52	48	53
Shun51.6%	51	51	51	50	52	52	54	55	52	50
Vanessa50.9%	51	50	45	49	51	49	53	49	54	54
Jean50.8%	53	51	52	51	51	51	49	51	52	48
Pai50.2%	48	53	46	52	50	50	53	51	49	52
Goh50.2%	53	51	53	47	49	51	48	50	49	49
Akira50.1%	50	51	48	54	49	49	50	50	48	52
Lion49.9%	49	50	51	49	50	52	46	54	48	50
El Blaze49.6%	49	48	53	50	50	48	51	51	45	52
Dural49.6%	44	49	44	46	51	56	63	54	46	51
Sarah49.5%	49	49	49	49	49	48	51	54	50	48
Lau49.5%	50	49	48	51	46	50	53	48	49	53
Eileen48.5%	51	51	52	49	47	48	48	39	46	52
Lei Fei48.5%	47	49	52	46	47	53	52	47	50	46
Kage48.3%	47	48	49	46	47	48	48	49	48	51
Taka47.7%	50	48	47	46	39	47	42	48	55	50
Aoi47.2%	46	46	48	49	47	45	46	49	50	46

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+0.1 pts behind walls (95% interval -0.6 to +0.7); within chance across the 20 characters tested, q=0.961

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
Jacky52.3%	52	53
Wolf52.0%	53	52
Jeffry51.7%	51	52
Shun51.6%	52	51
Vanessa50.9%	50	52
Jean50.8%	52	50
Pai50.2%	50	51
Goh50.2%	51	50
Akira50.1%	50	50
Lion49.9%	50	51
El Blaze49.6%	49	50
Dural49.6%	47	53
Sarah49.5%	50	49
Lau49.5%	49	49
Eileen48.5%	48	49
Lei Fei48.5%	48	49
Kage48.3%	48	49
Taka47.7%	49	46
Aoi47.2%	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	4.61%	13	23,438
South America	3.90%	14	5,246
North America	10.31%	1	8,767
Europe	4.60%	8	765
Middle East	0.20%	9	2
Oceania	4.69%	6	16
Not recorded	5.49%	6	2,481

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

Win rate49.0%

Standing#10 of 19 · tier B

Pick rate5.5%

Most picked#7 of 19

Matches counted6,974

Unique players47

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Goh	58.45%	121	86	207
Dural	57.89%	11	8	19
Shun	56.63%	188	144	332
Aoi	55.44%	163	131	294
Sarah	53.70%	145	125	270
Wolf	52.63%	190	171	361
Jean	51.18%	65	62	127
Vanessa	51.17%	219	209	428
Eileen	50.40%	127	125	252
Lion	49.85%	328	330	658
Kage	49.84%	306	308	614
Jeffry	49.82%	142	143	285
Jacky	48.91%	293	306	599
El Blaze	46.38%	141	163	304
Akira	45.64%	366	436	802
Pai	44.59%	99	123	222
Lau	44.19%	289	365	654
Lei Fei	44.08%	175	222	397
Taka	35.57%	53	96	149

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Match WP

WP = win probability. Change from this character's own match 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
Goh58.5%	53	85	77	37	50	61	91	48	60	53
Dural57.9%	67	·	62	100	100	·	·	0	·	33
Shun56.6%	62	50	59	53	49	57	58	69	57	55
Aoi55.4%	58	45	57	57	53	59	45	67	50	56
Sarah53.7%	53	56	44	62	52	61	29	55	55	65
Wolf52.6%	53	55	59	52	55	42	50	64	44	55
Jean51.2%	67	62	47	67	78	39	75	45	40	44
Vanessa51.2%	61	54	38	53	50	44	65	47	40	62
Eileen50.4%	34	56	79	38	60	29	44	62	55	52
Lion49.9%	45	59	53	41	40	62	60	49	47	49
Kage49.8%	56	51	54	56	58	47	41	39	44	51
Jeffry49.8%	58	57	31	57	42	53	40	76	38	50
Jacky48.9%	52	44	48	50	53	48	39	48	55	50
El Blaze46.4%	45	55	38	62	39	50	56	38	33	55
Akira45.6%	44	53	36	38	55	49	50	45	45	44
Pai44.6%	57	28	36	43	64	77	70	43	29	45
Lau44.2%	47	37	42	41	57	49	40	31	53	39
Lei Fei44.1%	34	48	23	43	41	41	38	56	62	56
Taka35.6%	45	27	25	22	18	44	57	20	38	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-1.6 pts behind walls (95% interval -4.6 to +1.4); within chance across the 20 characters tested, q=0.562

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
Goh58.5%	57	55
Dural57.9%	60	50
Shun56.6%	59	53
Aoi55.4%	56	56
Sarah53.7%	54	59
Wolf52.6%	55	51
Jean51.2%	54	47
Vanessa51.2%	49	52
Eileen50.4%	53	49
Lion49.9%	49	50
Kage49.8%	51	52
Jeffry49.8%	52	49
Jacky48.9%	49	50
El Blaze46.4%	44	48
Akira45.6%	44	49
Pai44.6%	38	55
Lau44.2%	42	48
Lei Fei44.1%	45	46
Taka35.6%	32	35

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = 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
Shun54.2%	59	47	56	48	50	52	54	60	57	54
Goh54.0%	53	64	65	45	49	55	76	48	56	50
Dural54.0%	60	·	59	71	60	·	·	40	·	33
Aoi53.4%	54	45	57	58	52	54	51	58	50	54
Wolf52.1%	54	52	53	53	54	46	51	56	48	55
Sarah52.0%	52	48	47	57	53	55	37	53	58	55
Vanessa50.9%	56	51	42	51	54	47	57	50	45	55
Kage50.8%	53	52	52	54	56	50	44	45	47	51
Jean50.3%	57	56	49	59	61	45	69	46	42	49
Eileen49.8%	38	53	65	47	52	43	51	53	55	49
Lion49.5%	45	55	50	45	46	55	54	50	48	49
Jacky48.8%	53	45	47	49	52	49	46	47	51	47
El Blaze48.6%	44	56	45	54	44	47	53	47	45	53
Jeffry47.6%	50	49	37	54	40	49	46	65	40	50
Pai47.3%	51	39	43	46	60	60	60	47	36	47
Akira46.8%	46	51	43	43	50	49	50	46	45	46
Lau46.5%	47	42	44	44	55	49	46	40	50	44
Lei Fei46.4%	43	49	38	47	43	41	47	54	53	52
Taka43.3%	50	44	30	44	33	49	53	34	43	45

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 -2.3 to +0.9); within chance across the 20 characters tested, q=0.678

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
Shun54.2%	56	52
Goh54.0%	54	51
Dural54.0%	58	41
Aoi53.4%	54	53
Wolf52.1%	53	52
Sarah52.0%	52	54
Vanessa50.9%	50	52
Kage50.8%	51	52
Jean50.3%	51	49
Eileen49.8%	51	48
Lion49.5%	49	50
Jacky48.8%	48	50
El Blaze48.6%	48	48
Jeffry47.6%	49	46
Pai47.3%	44	52
Akira46.8%	46	48
Lau46.5%	45	49
Lei Fei46.4%	48	46
Taka43.3%	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	5.79%	6	7,038
North America	1.40%	16	75
Europe	2.51%	13	70
South America	0.00%	14	0
Not recorded	6.84%	7	285

Brad

Against the roster

Stage Impact To Match WP

Each matchup, stage by stage

Walls Impact To Win Probability

Walls Impact To Win Probability

Stage Impact To Round WP

Each matchup, stage by stage, in rounds

Walls Impact To Round Win Probability

Walls Impact To Round Win Probability

Where they are played

Against the roster

Stage Impact To Match WP

Each matchup, stage by stage

Walls Impact To Win Probability

Walls Impact To Win Probability

Stage Impact To Round WP

Each matchup, stage by stage, in rounds

Walls Impact To Round Win Probability

Walls Impact To Round Win Probability

Where they are played

Against the roster

Stage Impact To Match WP

Each matchup, stage by stage

Walls Impact To Win Probability

Walls Impact To Win Probability

Stage Impact To Round WP

Each matchup, stage by stage, in rounds

Walls Impact To Round Win Probability

Walls Impact To Round Win Probability

Where they are played

Against the roster

Stage Impact To Match WP

Each matchup, stage by stage

Walls Impact To Win Probability

Walls Impact To Win Probability

Stage Impact To Round WP

Each matchup, stage by stage, in rounds

Walls Impact To Round Win Probability

Walls Impact To Round Win Probability

Where they are played