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

Win rate51.6%

Standing#2 of 19 · tier S

Pick rate3.6%

Most picked#15 of 19

Matches counted59,995

Unique players598

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	54.76%	1,911	1,579	3,490
Goh	53.43%	1,809	1,577	3,386
Jacky	53.08%	3,066	2,710	5,776
Akira	52.69%	3,696	3,318	7,014
Jean	52.11%	1,331	1,223	2,554
Vanessa	52.09%	1,058	973	2,031
Lei Fei	52.07%	1,107	1,019	2,126
Sarah	51.79%	1,967	1,831	3,798
Wolf	51.78%	2,321	2,161	4,482
Lion	50.57%	1,544	1,509	3,053
Lau	50.38%	1,719	1,693	3,412
Pai	50.31%	1,761	1,739	3,500
Shun	50.25%	1,704	1,687	3,391
Eileen	50.18%	552	548	1,100
Kage	50.10%	1,675	1,668	3,343
Brad	49.81%	1,326	1,336	2,662
Jeffry	49.37%	1,634	1,676	3,310
Taka	48.82%	497	521	1,018
Dural	47.36%	260	289	549

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
Aoi54.8%	56	54	49	55	54	54	54	58	56	57
Goh53.4%	54	58	52	54	48	52	53	54	55	54
Jacky53.1%	52	54	57	52	50	55	49	55	53	54
Akira52.7%	54	51	52	52	51	57	53	51	52	55
Jean52.1%	53	53	54	49	56	48	65	52	49	48
Vanessa52.1%	52	56	51	50	51	47	60	53	52	57
Lei Fei52.1%	55	51	51	50	49	54	54	47	56	55
Sarah51.8%	51	50	53	51	47	55	54	56	52	49
Wolf51.8%	54	55	55	54	49	53	52	48	52	50
Lion50.6%	55	49	52	50	50	46	51	51	54	45
Lau50.4%	51	49	45	53	49	52	49	54	53	50
Pai50.3%	49	53	48	45	53	51	53	52	54	47
Shun50.2%	51	52	47	46	55	52	51	49	49	50
Eileen50.2%	51	44	50	53	56	47	46	58	49	45
Kage50.1%	50	49	47	51	49	54	49	49	52	50
Brad49.8%	51	48	46	50	54	51	48	46	56	47
Jeffry49.4%	50	49	48	52	53	47	49	46	51	52
Taka48.8%	52	58	40	38	44	46	47	54	49	55
Dural47.4%	46	43	50	50	50	39	48	42	56	57

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+0.1 pts behind walls (95% interval -1.1 to +1.4); 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
Aoi54.8%	54	55
Goh53.4%	55	51
Jacky53.1%	54	53
Akira52.7%	52	54
Jean52.1%	52	51
Vanessa52.1%	52	51
Lei Fei52.1%	52	53
Sarah51.8%	52	51
Wolf51.8%	53	51
Lion50.6%	52	47
Lau50.4%	51	50
Pai50.3%	50	51
Shun50.2%	49	52
Eileen50.2%	51	50
Kage50.1%	50	51
Brad49.8%	50	51
Jeffry49.4%	50	50
Taka48.8%	49	49
Dural47.4%	48	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
Aoi52.5%	53	52	49	53	53	52	53	54	53	52
Jacky51.8%	51	52	53	51	51	53	49	53	52	53
Akira51.8%	52	50	52	52	51	54	52	51	51	53
Goh51.5%	52	54	52	51	48	50	51	52	53	53
Jean51.3%	52	52	52	50	54	49	58	51	50	50
Vanessa51.1%	51	53	51	48	51	49	54	52	50	55
Wolf51.1%	52	53	52	53	50	51	51	49	51	50
Lei Fei51.1%	53	50	51	50	50	52	50	49	54	52
Shun50.9%	51	52	50	48	53	51	52	50	51	51
Eileen50.8%	53	47	51	53	53	48	49	55	50	49
Sarah50.7%	50	51	52	50	49	52	51	53	51	50
Lau50.2%	50	50	47	52	50	51	49	51	51	51
Lion50.1%	53	50	51	50	49	48	50	50	52	48
Pai50.1%	50	53	48	48	51	50	51	50	52	48
Brad50.0%	51	50	48	51	51	51	48	48	53	48
Taka50.0%	50	55	45	47	49	49	51	50	50	53
Kage50.0%	50	50	48	50	49	51	51	49	50	50
Jeffry49.7%	51	50	49	51	52	50	49	48	50	51
Dural48.5%	47	45	50	52	51	44	50	47	51	51

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 -0.5 to +0.7); 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
Aoi52.5%	52	52
Jacky51.8%	52	52
Akira51.8%	51	52
Goh51.5%	52	50
Jean51.3%	51	51
Vanessa51.1%	51	51
Wolf51.1%	52	50
Lei Fei51.1%	51	52
Shun50.9%	50	52
Eileen50.8%	51	50
Sarah50.7%	51	50
Lau50.2%	50	50
Lion50.1%	51	48
Pai50.1%	50	50
Brad50.0%	50	50
Taka50.0%	50	51
Kage50.0%	50	50
Jeffry49.7%	50	51
Dural48.5%	49	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	3.52%	17	31,807
North America	3.78%	14	10,643
South America	3.81%	15	12,174
Europe	2.04%	18	880
Oceania	2.37%	11	172
Middle East	0.00%	14	0
Not recorded	3.97%	14	6,517

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

Win rate51.4%

Standing#4 of 19 · tier A

Pick rate3.5%

Most picked#14 of 19

Matches counted26,822

Unique players424

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	57.05%	1,234	929	2,163
Kage	53.31%	572	501	1,073
Akira	52.44%	1,888	1,712	3,600
Lei Fei	52.20%	332	304	636
Goh	51.84%	748	695	1,443
Jacky	51.70%	1,277	1,193	2,470
Sarah	51.52%	984	926	1,910
Taka	51.09%	210	201	411
Pai	50.87%	909	878	1,787
Lion	50.84%	662	640	1,302
Wolf	50.54%	1,265	1,238	2,503
Shun	50.19%	806	800	1,606
Jeffry	49.84%	763	768	1,531
Lau	49.79%	469	473	942
Vanessa	49.65%	429	435	864
Eileen	48.98%	240	250	490
Brad	48.26%	443	475	918
Jean	47.70%	478	524	1,002
Dural	38.60%	66	105	171

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
Aoi57.0%	54	60	56	61	54	56	53	63	57	55
Kage53.3%	57	50	55	54	54	57	54	51	53	47
Akira52.4%	53	49	53	54	50	57	55	49	53	54
Lei Fei52.2%	53	46	56	57	36	63	57	34	57	57
Goh51.8%	52	57	55	51	44	48	55	52	60	48
Jacky51.7%	52	53	56	47	50	51	46	55	48	56
Sarah51.5%	56	46	51	49	43	56	53	61	53	46
Taka51.1%	55	60	40	53	50	38	61	57	43	53
Pai50.9%	49	54	47	46	56	51	57	52	55	45
Lion50.8%	58	57	53	45	50	48	49	47	54	43
Wolf50.5%	50	52	54	53	51	55	46	46	52	45
Shun50.2%	53	51	48	41	55	48	52	52	52	50
Jeffry49.8%	51	53	49	53	55	45	51	43	51	49
Lau49.8%	53	51	45	63	48	52	38	50	45	49
Vanessa49.6%	53	56	49	43	45	43	54	55	47	56
Eileen49.0%	56	44	49	45	56	41	40	73	40	50
Brad48.3%	49	48	42	55	56	47	47	38	52	47
Jean47.7%	42	46	58	45	53	40	60	45	45	46
Dural38.6%	34	67	33	43	31	23	31	52	55	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+1.2 pts behind walls (95% interval -0.5 to +2.9); within chance across the 20 characters tested, q=0.423

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
Aoi57.0%	58	55
Kage53.3%	53	53
Akira52.4%	52	54
Lei Fei52.2%	51	52
Goh51.8%	54	47
Jacky51.7%	52	52
Sarah51.5%	53	48
Taka51.1%	52	46
Pai50.9%	51	51
Lion50.8%	52	47
Wolf50.5%	51	50
Shun50.2%	49	51
Jeffry49.8%	50	49
Lau49.8%	51	50
Vanessa49.6%	51	48
Eileen49.0%	50	49
Brad48.3%	47	50
Jean47.7%	48	46
Dural38.6%	44	30

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
Aoi53.7%	52	55	52	56	53	53	52	57	55	51
Taka51.6%	52	58	44	56	51	46	58	52	47	53
Akira51.5%	52	49	53	52	50	54	52	50	52	53
Lei Fei51.3%	50	50	52	54	44	57	51	43	55	54
Kage51.3%	55	49	51	50	51	54	52	50	51	48
Jacky51.0%	51	52	53	48	49	51	47	54	49	54
Goh50.7%	51	55	53	49	46	48	52	51	54	49
Shun50.7%	52	51	51	46	52	49	53	51	52	51
Sarah50.6%	52	49	50	49	47	52	51	55	52	49
Wolf50.4%	51	51	51	52	51	52	48	48	52	48
Pai50.4%	50	54	47	49	52	51	53	51	53	47
Eileen50.2%	55	47	50	49	52	46	45	63	48	51
Lion50.1%	55	54	52	46	50	50	49	47	51	47
Lau50.0%	51	51	46	57	49	50	43	50	48	52
Vanessa49.8%	51	52	50	44	49	46	49	52	50	54
Jeffry49.7%	51	52	49	51	52	49	50	46	50	49
Jean49.2%	47	50	55	47	51	45	54	48	49	47
Brad49.0%	49	50	47	53	52	49	47	46	49	48
Dural43.9%	39	54	46	49	42	36	42	49	49	44

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 -0.2 to +1.5); within chance across the 20 characters tested, q=0.440

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
Aoi53.7%	54	52
Taka51.6%	52	50
Akira51.5%	51	52
Lei Fei51.3%	51	51
Kage51.3%	51	51
Jacky51.0%	51	51
Goh50.7%	52	48
Shun50.7%	50	51
Sarah50.6%	51	49
Wolf50.4%	51	50
Pai50.4%	51	50
Eileen50.2%	52	50
Lion50.1%	51	49
Lau50.0%	51	50
Vanessa49.8%	50	50
Jeffry49.7%	50	50
Jean49.2%	50	48
Brad49.0%	49	49
Dural43.9%	46	40

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	2.71%	16	7,388
North America	2.92%	13	5,582
South America	5.30%	8	9,743
Europe	1.26%	18	300
Oceania	2.49%	11	172
Middle East	0.00%	10	0
Not recorded	3.97%	14	4,559

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

Win rate51.4%

Standing#4 of 19 · tier A

Pick rate3.5%

Most picked#16 of 19

Matches counted27,070

Unique players250

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	54.30%	929	782	1,711
Jean	54.04%	776	660	1,436
Jacky	53.79%	1,491	1,281	2,772
Akira	52.83%	1,532	1,368	2,900
Lei Fei	52.62%	603	543	1,146
Wolf	52.56%	924	834	1,758
Vanessa	52.11%	444	408	852
Aoi	51.85%	604	561	1,165
Dural	51.62%	175	164	339
Lau	51.28%	841	799	1,640
Lion	50.53%	617	604	1,221
Sarah	50.53%	758	742	1,500
Shun	50.37%	688	678	1,366
Brad	50.00%	720	720	1,440
Pai	49.90%	727	730	1,457
Taka	49.41%	250	256	506
Jeffry	48.48%	783	832	1,615
Eileen	47.29%	209	233	442
Kage	47.28%	853	951	1,804

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
Goh54.3%	54	58	52	57	48	54	49	56	53	61
Jean54.0%	59	58	47	52	57	53	67	54	53	48
Jacky53.8%	53	56	54	55	47	59	51	55	57	53
Akira52.8%	54	55	53	49	53	56	50	55	50	53
Lei Fei52.6%	58	55	50	52	52	53	47	57	56	53
Wolf52.6%	58	56	52	55	46	50	61	51	50	54
Vanessa52.1%	49	59	45	52	53	52	70	49	53	52
Aoi51.9%	58	44	44	45	55	52	53	50	55	59
Dural51.6%	52	39	56	51	59	42	60	33	59	60
Lau51.3%	49	45	49	50	49	59	53	58	55	49
Lion50.5%	52	44	55	56	47	49	50	57	54	43
Sarah50.5%	48	53	58	51	47	51	50	50	50	48
Shun50.4%	51	51	44	51	53	57	51	46	48	52
Brad50.0%	52	49	45	47	52	53	49	49	55	48
Pai49.9%	45	51	49	45	51	53	51	54	53	49
Taka49.4%	57	56	42	29	38	52	40	58	59	56
Jeffry48.5%	49	46	47	53	49	48	44	46	49	55
Eileen47.3%	45	38	52	56	51	49	37	46	51	41
Kage47.3%	45	48	43	49	45	50	49	48	51	48

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 -1.7 to +1.3); within chance across the 20 characters tested, q=0.877

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
Goh54.3%	55	54
Jean54.0%	54	53
Jacky53.8%	55	53
Akira52.8%	53	54
Lei Fei52.6%	54	52
Wolf52.6%	54	50
Vanessa52.1%	51	53
Aoi51.9%	49	56
Dural51.6%	50	52
Lau51.3%	51	52
Lion50.5%	53	46
Sarah50.5%	52	49
Shun50.4%	49	54
Brad50.0%	50	51
Pai49.9%	50	51
Taka49.4%	50	50
Jeffry48.5%	49	51
Eileen47.3%	48	47
Kage47.3%	47	48

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
Jacky52.5%	51	53	52	53	50	55	51	53	54	52
Jean52.3%	55	55	48	52	54	51	60	52	51	50
Goh52.0%	51	53	52	52	49	51	50	53	52	56
Akira52.0%	53	53	52	50	51	54	51	53	51	52
Wolf51.5%	54	53	51	55	48	50	57	50	50	53
Shun51.4%	52	52	49	51	53	54	52	49	50	52
Lei Fei51.3%	55	51	51	51	52	51	47	53	53	51
Aoi51.3%	54	48	46	49	54	50	54	51	52	53
Vanessa51.3%	49	56	48	50	52	52	60	50	49	53
Dural50.7%	51	43	51	52	55	46	55	45	54	53
Lau50.4%	49	48	48	50	49	54	51	52	52	50
Brad50.4%	51	52	47	50	50	52	49	49	55	48
Taka50.3%	52	54	47	43	47	51	47	53	54	54
Sarah49.9%	49	52	54	50	48	50	50	50	49	48
Lion49.8%	52	47	53	54	46	48	49	52	51	47
Pai49.7%	48	52	48	47	50	50	51	50	51	49
Jeffry49.5%	50	49	48	51	51	50	47	48	50	53
Eileen49.4%	50	44	52	54	51	49	44	50	49	49
Kage48.5%	47	51	47	48	47	49	51	48	50	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-0.0 pts behind walls (95% interval -0.8 to +0.8); within chance across the 20 characters tested, q=0.970

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
Jacky52.5%	53	52
Jean52.3%	52	52
Goh52.0%	52	52
Akira52.0%	52	52
Wolf51.5%	52	50
Shun51.4%	51	53
Lei Fei51.3%	52	52
Aoi51.3%	50	53
Vanessa51.3%	50	52
Dural50.7%	50	51
Lau50.4%	50	51
Brad50.4%	51	50
Taka50.3%	50	51
Sarah49.9%	51	49
Lion49.8%	52	47
Pai49.7%	50	50
Jeffry49.5%	49	51
Eileen49.4%	50	49
Kage48.5%	48	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	3.79%	16	19,253
South America	1.80%	18	2,428
North America	5.37%	7	4,568
Europe	1.07%	18	178
Middle East	0.00%	12	0
Oceania	0.00%	10	0
Not recorded	3.63%	11	1,641

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

Win rate53.1%

Standing#4 of 19 · tier A

Pick rate4.7%

Most picked#10 of 19

Matches counted6,103

Unique players42

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jean	66.38%	77	39	116
Eileen	61.31%	103	65	168
Wolf	59.73%	132	89	221
Vanessa	58.73%	185	130	315
Sarah	57.99%	225	163	388
Goh	56.90%	132	100	232
Jacky	55.81%	298	236	534
Akira	53.70%	276	238	514
Jeffry	53.66%	88	76	164
Kage	53.65%	250	216	466
Brad	53.62%	163	141	304
Shun	50.12%	210	209	419
Lei Fei	50.00%	172	172	344
Lion	50.00%	265	265	530
Lau	49.28%	409	421	830
Pai	48.83%	125	131	256
Dural	48.72%	19	20	39
Aoi	45.06%	73	89	162
Taka	36.63%	37	64	101

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
Jean66.4%	60	47	76	44	82	56	100	75	33	71
Eileen61.3%	58	57	42	68	72	78	67	47	68	40
Wolf59.7%	62	67	74	50	56	50	50	56	55	63
Vanessa58.7%	65	48	69	68	58	46	44	59	61	68
Sarah58.0%	35	59	47	58	65	77	64	48	56	65
Goh56.9%	66	62	37	56	71	70	67	54	46	51
Jacky55.8%	48	49	73	52	67	56	53	50	54	55
Akira53.7%	59	46	43	60	49	57	59	43	53	67
Jeffry53.7%	54	38	48	45	65	67	80	75	57	36
Kage53.6%	51	55	50	54	50	58	40	51	52	68
Brad53.6%	55	45	62	38	61	50	44	62	67	45
Shun50.1%	44	62	55	47	56	53	46	43	47	46
Lei Fei50.0%	51	45	45	38	63	48	78	44	57	59
Lion50.0%	52	40	42	52	58	32	59	51	56	59
Lau49.3%	52	54	38	47	51	39	54	50	55	52
Pai48.8%	62	62	53	35	47	44	44	43	50	44
Dural48.7%	80	25	100	100	33	50	·	33	33	50
Aoi45.1%	58	35	24	39	50	39	67	75	25	50
Taka36.6%	15	54	25	31	50	50	0	29	22	57

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-3.0 pts behind walls (95% interval -6.2 to +0.2); within chance across the 20 characters tested, q=0.329

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
Jean66.4%	62	70
Eileen61.3%	58	62
Wolf59.7%	62	57
Vanessa58.7%	62	56
Sarah58.0%	51	67
Goh56.9%	55	61
Jacky55.8%	55	59
Akira53.7%	51	56
Jeffry53.7%	52	58
Kage53.6%	52	58
Brad53.6%	56	52
Shun50.1%	49	52
Lei Fei50.0%	46	56
Lion50.0%	49	50
Lau49.3%	50	47
Pai48.8%	51	45
Dural48.7%	55	47
Aoi45.1%	42	45
Taka36.6%	30	54

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
Jean57.2%	55	48	62	47	71	52	75	56	42	63
Eileen56.0%	61	53	51	58	59	65	60	48	59	47
Wolf55.8%	56	59	62	53	51	49	52	56	53	60
Sarah54.7%	42	56	51	53	58	67	56	55	52	58
Vanessa54.5%	59	50	61	56	55	48	49	54	54	60
Goh52.8%	60	55	44	48	57	57	54	50	49	53
Akira52.7%	54	47	48	57	52	53	54	48	53	58
Kage52.4%	52	51	52	53	52	55	48	50	52	58
Jacky52.3%	48	46	60	50	58	54	52	50	51	53
Brad51.4%	56	44	55	46	56	53	47	53	55	47
Jeffry50.6%	48	43	50	48	57	60	54	58	52	43
Lion50.4%	50	47	46	52	52	42	53	52	54	55
Dural50.3%	76	36	60	75	50	53	·	47	41	50
Pai50.1%	56	56	54	43	51	46	46	48	48	46
Lau50.0%	51	53	44	50	51	47	52	50	52	50
Shun49.9%	47	54	54	48	55	51	48	48	48	45
Lei Fei49.8%	53	44	50	44	58	48	56	48	51	53
Aoi45.5%	55	43	37	42	46	42	54	56	23	48
Taka41.3%	27	44	44	39	52	45	40	35	34	54

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-1.9 pts behind walls (95% interval -3.6 to -0.1); within chance across the 20 characters tested, q=0.281

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
Jean57.2%	54	62
Eileen56.0%	55	56
Wolf55.8%	57	54
Sarah54.7%	52	60
Vanessa54.5%	56	54
Goh52.8%	52	55
Akira52.7%	51	54
Kage52.4%	52	55
Jacky52.3%	51	55
Brad51.4%	52	52
Jeffry50.6%	49	54
Lion50.4%	50	50
Dural50.3%	53	51
Pai50.1%	51	48
Lau50.0%	50	50
Shun49.9%	50	50
Lei Fei49.8%	48	53
Aoi45.5%	45	45
Taka41.3%	37	51

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	4.25%	12	5,166
North America	9.18%	3	493
Europe	14.44%	1	402
South America	0.42%	11	3
Not recorded	7.61%	5	317

El Blaze

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