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

Win rate50.4%

Standing#10 of 19 · tier B

Pick rate3.4%

Most picked#17 of 19

Matches counted57,111

Unique players532

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Brad	53.36%	1,287	1,125	2,412
Aoi	52.79%	1,722	1,540	3,262
Goh	52.58%	1,570	1,416	2,986
Akira	52.48%	3,725	3,373	7,098
Shun	52.13%	1,760	1,616	3,376
Jean	51.85%	1,444	1,341	2,785
Eileen	51.77%	468	436	904
Vanessa	51.76%	1,130	1,053	2,183
Jacky	50.72%	2,715	2,638	5,353
Taka	49.87%	564	567	1,131
Wolf	49.83%	1,902	1,915	3,817
Lion	49.64%	1,525	1,547	3,072
Sarah	48.85%	1,695	1,775	3,470
Kage	48.49%	1,578	1,676	3,254
Lau	47.97%	1,466	1,590	3,056
El Blaze	47.93%	1,019	1,107	2,126
Pai	47.80%	1,510	1,649	3,159
Jeffry	47.28%	1,515	1,689	3,204
Dural	39.96%	185	278	463

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
Brad53.4%	58	53	54	55	54	45	50	53	50	57
Aoi52.8%	57	51	52	53	55	50	56	51	51	52
Goh52.6%	53	57	53	50	53	51	48	56	51	52
Akira52.5%	51	53	53	53	55	51	53	53	52	52
Shun52.1%	46	51	53	55	51	54	54	51	55	50
Jean51.9%	53	48	51	49	54	49	59	52	52	51
Eileen51.8%	50	56	45	49	62	53	53	57	46	52
Vanessa51.8%	48	59	51	57	51	46	49	52	49	53
Jacky50.7%	50	49	49	48	54	50	52	50	52	54
Taka49.9%	51	54	53	46	48	41	38	55	55	48
Wolf49.8%	54	53	52	53	46	48	51	48	48	49
Lion49.6%	52	50	54	52	45	49	49	46	50	45
Sarah48.9%	46	48	46	49	52	53	51	49	48	48
Kage48.5%	47	44	41	50	48	50	50	48	53	52
Lau48.0%	51	45	52	49	45	53	49	44	47	44
El Blaze47.9%	45	49	49	50	51	46	46	53	44	45
Pai47.8%	48	52	47	48	50	51	50	42	47	46
Jeffry47.3%	52	41	50	47	49	55	42	42	45	47
Dural40.0%	49	27	31	42	23	40	68	40	45	38

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 -1.5 to +1.0); 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
Brad53.4%	54	52
Aoi52.8%	52	53
Goh52.6%	53	52
Akira52.5%	52	53
Shun52.1%	52	52
Jean51.9%	51	52
Eileen51.8%	51	55
Vanessa51.8%	53	50
Jacky50.7%	50	52
Taka49.9%	52	46
Wolf49.8%	51	48
Lion49.6%	51	47
Sarah48.9%	47	51
Kage48.5%	48	50
Lau48.0%	48	48
El Blaze47.9%	48	47
Pai47.8%	47	49
Jeffry47.3%	46	50
Dural40.0%	40	36

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
Shun52.2%	51	51	53	54	52	53	53	51	54	51
Brad52.0%	53	51	53	53	54	48	50	51	51	53
Goh51.6%	53	55	51	50	52	51	50	53	50	52
Akira51.6%	51	53	52	52	53	50	51	52	52	50
Aoi51.6%	54	51	51	52	53	50	52	51	51	51
Jean51.2%	52	50	50	49	53	50	55	52	51	51
Eileen51.2%	51	53	48	49	56	53	50	54	48	53
Vanessa50.9%	49	53	52	52	51	47	49	52	51	51
Jacky50.5%	50	50	50	50	51	50	51	50	51	52
Taka50.1%	51	54	52	51	49	45	41	52	51	49
Wolf49.9%	52	51	51	51	48	49	51	49	49	50
Lion49.8%	51	50	52	51	48	50	50	48	50	46
Kage49.4%	49	48	46	51	49	50	51	48	52	52
Sarah49.2%	48	48	49	49	51	51	50	49	48	49
El Blaze48.9%	47	50	49	50	50	48	50	51	46	48
Lau48.9%	51	48	50	50	47	51	48	48	48	48
Pai48.6%	49	51	48	49	50	51	49	45	48	47
Jeffry48.6%	51	46	50	49	50	51	46	46	48	48
Dural44.1%	47	38	39	48	38	44	57	44	48	43

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 -0.6 to +0.6); within chance across the 20 characters tested, q=0.994

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
Shun52.2%	52	52
Brad52.0%	52	52
Goh51.6%	52	51
Akira51.6%	52	51
Aoi51.6%	52	52
Jean51.2%	51	51
Eileen51.2%	51	54
Vanessa50.9%	51	50
Jacky50.5%	50	51
Taka50.1%	52	48
Wolf49.9%	51	49
Lion49.8%	50	48
Kage49.4%	49	50
Sarah49.2%	48	51
El Blaze48.9%	49	48
Lau48.9%	49	49
Pai48.6%	48	50
Jeffry48.6%	48	50
Dural44.1%	44	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	3.62%	16	32,670
North America	4.05%	13	11,426
South America	2.90%	17	9,242
Europe	2.65%	15	1,148
Oceania	6.48%	6	470
Middle East	0.53%	7	11
Not recorded	2.28%	19	3,754

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

Win rate50.5%

Standing#9 of 19 · tier B

Pick rate2.7%

Most picked#17 of 19

Matches counted20,640

Unique players392

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	56.34%	902	699	1,601
Shun	55.42%	798	642	1,440
Brad	53.21%	323	284	607
Goh	52.75%	556	498	1,054
Akira	52.27%	1,494	1,364	2,858
Eileen	51.28%	180	171	351
Jeffry	50.04%	577	576	1,153
Jacky	49.65%	840	852	1,692
Jean	49.54%	378	385	763
Sarah	49.16%	728	753	1,481
Kage	49.00%	417	434	851
Vanessa	48.74%	367	386	753
Lion	48.64%	464	490	954
Taka	48.24%	205	220	425
Wolf	48.24%	823	883	1,706
El Blaze	47.80%	304	332	636
Pai	47.50%	664	734	1,398
Lau	46.26%	353	410	763
Dural	35.71%	55	99	154

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
Aoi56.3%	60	56	55	59	56	53	60	56	52	56
Shun55.4%	55	49	54	62	48	67	56	55	55	55
Brad53.2%	55	55	62	48	53	44	52	47	59	59
Goh52.8%	63	53	52	49	55	42	50	56	52	58
Akira52.3%	52	56	49	49	56	52	52	53	50	54
Eileen51.3%	51	50	50	48	56	49	57	55	53	50
Jeffry50.0%	54	44	53	53	50	59	47	45	48	51
Jacky49.6%	51	44	51	46	56	52	49	45	50	54
Jean49.5%	53	45	53	49	53	46	56	49	47	48
Sarah49.2%	48	52	47	52	57	52	49	50	37	47
Kage49.0%	46	55	33	48	50	51	54	48	52	54
Vanessa48.7%	44	64	45	59	50	40	50	52	44	41
Lion48.6%	57	46	53	40	49	55	52	48	44	40
Taka48.2%	40	50	61	46	47	36	36	56	53	54
Wolf48.2%	50	52	50	52	42	45	51	47	48	48
El Blaze47.8%	47	54	44	43	64	37	43	66	43	43
Pai47.5%	48	53	47	47	52	49	49	43	48	46
Lau46.3%	51	34	47	42	50	49	49	32	57	43
Dural35.7%	31	28	26	36	20	41	80	25	36	50

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-0.8 pts behind walls (95% interval -2.8 to +1.1); within chance across the 20 characters tested, q=0.755

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
Aoi56.3%	56	55
Shun55.4%	55	57
Brad53.2%	54	53
Goh52.8%	54	52
Akira52.3%	52	54
Eileen51.3%	51	51
Jeffry50.0%	49	53
Jacky49.6%	48	54
Jean49.5%	49	49
Sarah49.2%	48	52
Kage49.0%	48	52
Vanessa48.7%	51	43
Lion48.6%	48	48
Taka48.2%	51	46
Wolf48.2%	50	45
El Blaze47.8%	49	48
Pai47.5%	47	49
Lau46.3%	45	47
Dural35.7%	31	38

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
Shun53.8%	56	49	54	59	50	59	53	52	53	53
Aoi53.7%	56	54	54	56	53	51	54	55	51	54
Goh52.0%	57	52	52	51	52	47	53	54	50	54
Brad51.9%	49	52	58	51	52	46	50	50	55	53
Akira51.7%	52	54	50	50	54	51	52	53	51	52
Eileen51.4%	51	49	51	47	54	53	53	54	52	53
Jeffry50.4%	52	49	51	52	50	53	50	48	50	51
Jean50.0%	52	47	52	48	52	49	53	51	47	50
Jacky49.8%	51	47	51	49	52	50	48	47	49	53
Vanessa49.6%	49	55	49	53	51	46	50	51	48	45
Kage49.3%	48	55	40	48	50	49	51	48	50	52
Wolf49.2%	50	50	51	50	47	48	51	49	50	49
Sarah49.1%	47	49	50	51	53	50	48	50	42	50
Lion48.7%	52	49	52	44	50	53	51	48	47	41
El Blaze48.7%	50	50	48	46	56	43	49	57	45	46
Pai48.7%	48	51	48	49	51	50	48	46	49	46
Lau48.4%	54	44	48	45	51	49	50	41	55	47
Taka47.8%	45	50	57	46	47	41	39	52	48	52
Dural42.7%	43	37	34	48	35	44	59	37	45	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-0.2 pts behind walls (95% interval -1.2 to +0.8); 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 Round Win Probability

Round win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Shun53.8%	54	55
Aoi53.7%	54	53
Goh52.0%	53	51
Brad51.9%	53	51
Akira51.7%	52	52
Eileen51.4%	51	53
Jeffry50.4%	50	51
Jean50.0%	50	50
Jacky49.8%	49	52
Vanessa49.6%	51	47
Kage49.3%	49	50
Wolf49.2%	50	48
Sarah49.1%	48	51
Lion48.7%	49	48
El Blaze48.7%	49	49
Pai48.7%	49	49
Lau48.4%	48	49
Taka47.8%	49	47
Dural42.7%	41	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	1.74%	17	4,737
North America	4.28%	10	8,186
South America	2.44%	18	4,479
Europe	1.52%	17	362
Oceania	5.14%	6	355
Middle East	0.00%	16	0
Not recorded	2.63%	17	3,021

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

Win rate49.4%

Standing#14 of 19 · tier C

Pick rate3.9%

Most picked#15 of 19

Matches counted30,228

Unique players199

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Brad	52.70%	742	666	1,408
Akira	52.46%	1,890	1,713	3,603
Goh	51.53%	924	869	1,793
Jacky	51.48%	1,598	1,506	3,104
Jean	51.46%	937	884	1,821
Taka	51.07%	263	252	515
Wolf	50.96%	983	946	1,929
Vanessa	49.18%	507	524	1,031
Shun	48.94%	783	817	1,600
Eileen	48.53%	165	175	340
Aoi	48.45%	705	750	1,455
Lion	48.21%	769	826	1,595
Lau	48.06%	830	897	1,727
El Blaze	47.38%	543	603	1,146
Kage	47.25%	894	998	1,892
Sarah	46.90%	803	909	1,712
Pai	46.33%	657	761	1,418
Jeffry	44.91%	825	1,012	1,837
Dural	41.72%	126	176	302

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
Brad52.7%	58	53	45	57	54	43	46	58	50	59
Akira52.5%	49	50	54	55	55	50	57	53	53	51
Goh51.5%	48	57	52	50	49	56	44	55	51	47
Jacky51.5%	49	51	49	50	53	50	54	52	52	54
Jean51.5%	53	47	50	46	53	49	58	51	53	52
Taka51.1%	59	60	47	47	51	45	38	55	55	44
Wolf51.0%	58	56	52	53	48	49	51	49	46	51
Vanessa49.2%	48	52	51	53	48	43	44	45	50	54
Shun48.9%	37	51	53	49	55	43	49	47	53	49
Eileen48.5%	40	56	37	52	68	62	33	51	46	45
Aoi48.5%	50	50	48	47	52	45	56	42	50	47
Lion48.2%	47	51	50	57	39	43	46	48	50	46
Lau48.1%	49	44	53	53	44	54	46	50	43	45
El Blaze47.4%	42	45	50	48	48	47	53	43	44	47
Kage47.2%	46	37	42	51	47	46	51	47	52	51
Sarah46.9%	44	43	43	46	49	52	49	45	53	45
Pai46.3%	43	47	44	45	46	53	51	38	46	50
Jeffry44.9%	50	37	48	42	50	51	37	40	43	42
Dural41.7%	56	27	32	46	27	37	65	42	49	33

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 -1.7 to +1.2); 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
Brad52.7%	54	52
Akira52.5%	52	52
Goh51.5%	52	51
Jacky51.5%	51	52
Jean51.5%	50	52
Taka51.1%	54	47
Wolf51.0%	53	49
Vanessa49.2%	50	49
Shun48.9%	49	48
Eileen48.5%	46	57
Aoi48.5%	48	49
Lion48.2%	50	43
Lau48.1%	48	48
El Blaze47.4%	46	48
Kage47.2%	46	48
Sarah46.9%	46	49
Pai46.3%	44	49
Jeffry44.9%	43	48
Dural41.7%	43	33

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
Akira51.5%	50	52	52	53	53	50	53	52	52	49
Brad51.5%	53	51	48	54	53	47	48	53	50	54
Goh50.9%	51	55	49	49	50	53	47	52	51	50
Jean50.9%	51	50	48	48	52	51	54	51	52	51
Jacky50.9%	49	52	49	50	51	50	51	52	52	52
Shun50.9%	46	51	53	51	54	47	52	51	52	51
Taka50.8%	55	57	48	51	50	48	42	52	52	46
Wolf50.4%	54	52	51	51	49	50	51	49	47	51
Vanessa49.6%	47	51	52	50	50	45	48	48	52	52
Lion49.3%	49	51	49	54	46	46	49	49	50	48
Aoi49.3%	50	50	48	48	51	48	52	45	51	49
Eileen49.1%	47	51	42	50	57	54	38	51	50	50
Kage48.9%	47	43	47	51	49	49	52	48	52	51
Lau48.7%	49	47	51	51	47	51	46	51	45	48
El Blaze48.7%	45	49	49	49	48	49	53	47	47	49
Sarah48.3%	48	47	47	47	49	51	50	47	51	47
Pai47.6%	46	48	45	48	48	51	50	44	47	49
Jeffry47.2%	50	43	49	45	51	49	44	45	47	45
Dural44.6%	49	38	41	48	39	42	57	44	49	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-0.1 pts behind walls (95% interval -0.8 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
Akira51.5%	52	51
Brad51.5%	52	51
Goh50.9%	51	51
Jean50.9%	50	51
Jacky50.9%	51	51
Shun50.9%	51	50
Taka50.8%	52	48
Wolf50.4%	51	50
Vanessa49.6%	50	49
Lion49.3%	50	47
Aoi49.3%	49	50
Eileen49.1%	48	53
Kage48.9%	48	50
Lau48.7%	49	49
El Blaze48.7%	48	48
Sarah48.3%	48	49
Pai47.6%	46	49
Jeffry47.2%	47	48
Dural44.6%	45	41

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	4.30%	14	21,896
South America	3.51%	16	4,725
North America	3.43%	16	2,920
Europe	4.40%	9	731
Middle East	1.08%	6	11
Oceania	33.72%	2	115
Not recorded	1.49%	19	672

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

Win rate54.6%

Standing#1 of 19 · tier S

Pick rate4.8%

Most picked#9 of 19

Matches counted6,243

Unique players31

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	64.75%	90	49	139
Jean	64.18%	129	72	201
Vanessa	64.16%	256	143	399
Sarah	59.21%	164	113	277
Eileen	57.75%	123	90	213
Dural	57.14%	4	3	7
Brad	55.92%	222	175	397
Aoi	55.83%	115	91	206
Lion	55.83%	292	231	523
Pai	55.10%	189	154	343
Akira	53.53%	341	296	637
Shun	53.27%	179	157	336
Jeffry	52.80%	113	101	214
Wolf	52.75%	96	86	182
Kage	52.25%	267	244	511
Taka	50.26%	96	95	191
El Blaze	50.00%	172	172	344
Lau	50.00%	283	283	566
Jacky	49.73%	277	280	557

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
Goh64.8%	70	78	74	46	73	40	75	63	42	61
Jean64.2%	64	75	56	68	70	53	69	74	53	62
Vanessa64.2%	57	65	68	68	59	62	61	74	55	68
Sarah59.2%	50	50	57	52	48	68	65	62	70	69
Eileen57.8%	74	66	50	43	63	53	64	75	29	58
Dural57.1%	·	·	100	·	0	67	·	100	·	·
Brad55.9%	66	52	77	57	59	59	62	44	38	44
Aoi55.8%	73	36	55	38	67	67	40	59	50	62
Lion55.8%	62	56	68	62	54	53	50	35	61	52
Pai55.1%	62	64	58	59	63	52	47	59	50	34
Akira53.5%	56	53	59	53	51	51	38	56	58	50
Shun53.3%	53	59	44	52	46	53	80	50	75	40
Jeffry52.8%	52	56	50	62	41	81	56	44	45	58
Wolf52.8%	50	40	56	60	64	80	0	38	57	45
Kage52.2%	59	46	44	53	49	62	41	52	61	55
Taka50.3%	55	40	70	45	45	41	67	52	56	44
El Blaze50.0%	49	55	55	62	37	52	22	56	43	41
Lau50.0%	59	58	55	51	41	57	64	36	45	46
Jacky49.7%	46	48	48	44	48	49	52	54	56	52

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+1.9 pts behind walls (95% interval -1.3 to +5.1); 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
Goh64.8%	64	63
Jean64.2%	65	62
Vanessa64.2%	64	63
Sarah59.2%	57	62
Eileen57.8%	59	58
Dural57.1%	100	50
Brad55.9%	55	54
Aoi55.8%	54	66
Lion55.8%	58	53
Pai55.1%	59	49
Akira53.5%	56	51
Shun53.3%	55	44
Jeffry52.8%	52	58
Wolf52.8%	52	60
Kage52.2%	52	56
Taka50.3%	52	43
El Blaze50.0%	54	44
Lau50.0%	51	48
Jacky49.7%	50	49

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
Goh58.2%	61	61	66	46	60	47	64	55	52	61
Jean58.2%	57	67	53	60	64	52	62	58	56	58
Vanessa56.6%	53	56	60	56	54	54	53	65	53	59
Sarah55.7%	51	49	54	51	51	60	61	53	67	62
Eileen54.2%	63	60	51	51	58	51	56	61	36	54
Taka53.7%	54	50	62	56	52	49	67	50	56	50
Brad53.6%	57	51	62	53	57	59	53	46	47	48
Lion53.1%	57	52	57	58	52	52	51	45	56	50
Pai52.8%	55	57	55	52	58	52	51	54	49	46
Shun52.4%	52	60	48	48	47	49	60	52	67	46
Aoi51.9%	57	42	51	47	57	62	41	54	51	50
Dural51.9%	·	·	75	·	40	55	·	75	·	·
Akira51.6%	51	54	54	53	49	50	42	52	55	51
Wolf51.6%	50	47	56	55	53	62	25	43	53	49
Kage51.3%	56	48	47	51	49	55	47	49	56	54
Jeffry50.7%	52	55	49	57	42	64	48	45	51	53
Jacky50.4%	49	51	47	48	50	50	53	49	53	52
El Blaze50.2%	47	56	50	56	42	52	44	52	49	47
Lau50.1%	56	54	51	51	45	54	56	44	47	48

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.8 pts behind walls (95% interval -0.9 to +2.5); within chance across the 20 characters tested, q=0.660

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
Goh58.2%	57	59
Jean58.2%	58	58
Vanessa56.6%	57	56
Sarah55.7%	54	58
Eileen54.2%	55	55
Taka53.7%	54	51
Brad53.6%	52	54
Lion53.1%	54	52
Pai52.8%	54	52
Shun52.4%	54	47
Aoi51.9%	51	58
Dural51.9%	75	50
Akira51.6%	53	50
Wolf51.6%	52	54
Kage51.3%	51	53
Jeffry50.7%	52	52
Jacky50.4%	49	50
El Blaze50.2%	52	47
Lau50.1%	51	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	4.97%	9	6,037
North America	5.96%	7	320
Europe	1.98%	16	55
South America	5.33%	5	38
Not recorded	1.46%	13	61

Lei Fei

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