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

Win rate49.8%

Standing#12 of 19 · tier B

Pick rate5.7%

Most picked#5 of 19

Matches counted91,883

Unique players845

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	53.38%	3,165	2,764	5,929
Lei Fei	52.20%	1,649	1,510	3,159
Kage	50.88%	2,715	2,621	5,336
Goh	50.87%	2,518	2,432	4,950
Vanessa	50.63%	1,569	1,530	3,099
Sarah	50.32%	2,901	2,864	5,765
Jean	49.92%	2,160	2,167	4,327
Akira	49.80%	5,738	5,785	11,523
Brad	49.74%	1,943	1,963	3,906
El Blaze	49.69%	1,739	1,761	3,500
Shun	49.39%	2,580	2,644	5,224
Wolf	49.36%	3,372	3,459	6,831
Dural	48.82%	414	434	848
Jacky	48.64%	4,384	4,629	9,013
Lion	48.35%	2,238	2,391	4,629
Jeffry	48.03%	2,532	2,740	5,272
Lau	47.99%	2,454	2,660	5,114
Taka	47.70%	810	888	1,698
Eileen	47.44%	835	925	1,760

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
Aoi53.4%	53	54	56	52	53	54	49	56	51	55
Lei Fei52.2%	52	48	53	52	50	49	50	58	53	54
Kage50.9%	51	52	52	50	50	50	46	52	53	51
Goh50.9%	53	52	52	52	54	49	51	52	51	45
Vanessa50.6%	46	48	52	50	51	50	54	52	52	56
Sarah50.3%	49	47	50	51	52	49	51	50	53	51
Jean49.9%	47	48	44	53	46	54	55	49	56	51
Akira49.8%	48	53	48	51	53	50	46	50	50	48
Brad49.7%	55	50	55	53	48	47	42	47	49	48
El Blaze49.7%	51	47	52	55	47	49	47	48	46	53
Shun49.4%	52	47	50	47	52	48	49	49	48	53
Wolf49.4%	49	48	49	49	47	53	52	52	46	52
Dural48.8%	55	51	46	43	58	42	67	52	40	43
Jacky48.6%	46	48	48	48	48	50	47	48	51	50
Lion48.4%	44	50	48	44	52	49	46	49	48	50
Jeffry48.0%	48	49	52	48	48	49	45	45	45	47
Lau48.0%	47	48	51	51	49	47	48	47	45	50
Taka47.7%	47	48	44	54	49	45	34	52	47	45
Eileen47.4%	44	43	38	51	50	48	47	48	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-0.2 pts behind walls (95% interval -1.2 to +0.8); 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
Aoi53.4%	54	54
Lei Fei52.2%	53	51
Kage50.9%	52	50
Goh50.9%	52	49
Vanessa50.6%	50	52
Sarah50.3%	50	50
Jean49.9%	49	50
Akira49.8%	50	50
Brad49.7%	52	48
El Blaze49.7%	50	49
Shun49.4%	49	51
Wolf49.4%	49	50
Dural48.8%	48	48
Jacky48.6%	48	49
Lion48.4%	47	50
Jeffry48.0%	48	48
Lau48.0%	48	48
Taka47.7%	49	46
Eileen47.4%	46	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
Aoi52.1%	53	53	53	51	52	52	50	53	51	54
Lei Fei51.4%	51	49	52	51	50	49	51	55	52	53
Goh50.5%	51	51	52	51	53	49	51	50	50	48
Kage50.4%	50	51	51	50	50	50	50	51	51	51
Shun50.4%	51	49	51	49	52	50	51	50	50	52
Vanessa50.3%	48	49	51	50	50	50	52	51	52	53
Sarah50.1%	50	48	50	50	50	50	50	50	51	50
Akira50.0%	50	52	49	51	52	50	49	50	50	49
Brad50.0%	53	50	53	51	49	48	47	48	50	50
Jean50.0%	48	48	47	52	49	51	53	49	53	51
El Blaze49.9%	50	47	52	52	49	50	49	50	48	52
Jacky49.4%	49	49	49	49	49	50	49	49	51	50
Wolf49.4%	49	49	49	49	48	51	50	51	47	50
Jeffry49.3%	49	50	50	49	49	50	48	48	48	50
Lion49.0%	46	50	49	47	51	49	48	50	49	50
Taka49.0%	49	50	47	53	50	47	41	51	48	48
Lau48.9%	48	48	50	50	49	49	49	48	48	51
Dural48.8%	53	49	46	46	53	46	58	50	45	47
Eileen48.6%	47	45	44	51	50	49	46	49	52	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-0.2 pts behind walls (95% interval -0.7 to +0.3); within chance across the 20 characters tested, q=0.733

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
Aoi52.1%	52	52
Lei Fei51.4%	52	50
Goh50.5%	51	50
Kage50.4%	51	50
Shun50.4%	50	51
Vanessa50.3%	50	51
Sarah50.1%	50	50
Akira50.0%	50	50
Brad50.0%	51	49
Jean50.0%	50	50
El Blaze49.9%	50	50
Jacky49.4%	49	50
Wolf49.4%	49	50
Jeffry49.3%	49	50
Lion49.0%	49	50
Taka49.0%	50	48
Lau48.9%	49	49
Dural48.8%	48	49
Eileen48.6%	48	50

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	5.38%	10	48,557
North America	7.25%	5	20,425
South America	4.90%	10	15,646
Europe	4.79%	10	2,072
Oceania	14.10%	2	1,022
Middle East	0.38%	8	8
Not recorded	6.33%	3	10,399

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

Win rate49.9%

Standing#15 of 19 · tier C

Pick rate6.9%

Most picked#5 of 19

Matches counted50,557

Unique players656

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	54.18%	2,178	1,842	4,020
Lei Fei	52.50%	734	664	1,398
Kage	51.77%	1,300	1,211	2,511
Akira	50.64%	3,580	3,489	7,069
Goh	50.50%	1,367	1,340	2,707
Vanessa	50.22%	789	782	1,571
Brad	50.03%	836	835	1,671
Sarah	49.78%	1,849	1,865	3,714
Lion	49.51%	1,160	1,183	2,343
El Blaze	49.13%	878	909	1,787
Jean	49.00%	1,052	1,095	2,147
Eileen	48.77%	534	561	1,095
Lau	48.74%	1,025	1,078	2,103
Shun	48.73%	1,515	1,594	3,109
Jacky	48.59%	2,273	2,405	4,678
Jeffry	48.45%	1,435	1,527	2,962
Taka	48.25%	482	517	999
Wolf	48.00%	2,049	2,220	4,269
Dural	47.77%	193	211	404

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
Aoi54.2%	52	56	56	53	55	52	52	56	52	58
Lei Fei52.5%	52	47	53	53	48	51	51	57	52	54
Kage51.8%	47	47	54	49	51	53	51	54	56	52
Akira50.6%	50	54	48	52	54	50	49	49	52	48
Goh50.5%	53	49	55	54	57	49	52	49	49	42
Vanessa50.2%	46	45	48	49	48	49	55	50	55	59
Brad50.0%	61	52	54	58	46	45	45	44	48	48
Sarah49.8%	47	48	48	52	53	50	49	50	49	52
Lion49.5%	42	53	46	44	50	56	48	53	49	55
El Blaze49.1%	51	46	53	54	44	49	43	48	45	55
Jean49.0%	45	46	39	55	46	51	59	45	57	49
Eileen48.8%	43	40	39	50	54	42	44	49	61	57
Lau48.7%	51	45	55	52	53	46	44	47	45	54
Shun48.7%	51	44	50	44	54	50	48	48	48	52
Jacky48.6%	45	47	45	48	47	50	50	50	49	50
Jeffry48.5%	46	48	54	51	51	50	46	46	44	46
Taka48.2%	56	50	46	50	51	41	39	50	40	46
Wolf48.0%	49	45	48	48	45	52	52	52	43	51
Dural47.8%	58	49	46	37	62	44	70	51	46	31

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-1.1 pts behind walls (95% interval -2.3 to +0.2); within chance across the 20 characters tested, q=0.340

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
Aoi54.2%	54	55
Lei Fei52.5%	53	51
Kage51.8%	52	52
Akira50.6%	51	51
Goh50.5%	51	49
Vanessa50.2%	49	52
Brad50.0%	52	46
Sarah49.8%	49	52
Lion49.5%	48	53
El Blaze49.1%	49	49
Jean49.0%	48	49
Eileen48.8%	47	51
Lau48.7%	49	51
Shun48.7%	47	52
Jacky48.6%	47	49
Jeffry48.5%	48	49
Taka48.2%	49	46
Wolf48.0%	47	49
Dural47.8%	47	46

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
Aoi52.7%	52	54	53	52	52	51	52	54	51	55
Lei Fei51.3%	52	49	52	51	49	50	52	54	51	54
Kage50.9%	48	47	53	49	51	52	51	52	52	52
Akira50.5%	51	53	49	51	52	50	50	50	51	49
Goh50.5%	51	50	53	53	55	48	52	49	50	47
Vanessa50.1%	48	48	49	49	48	50	53	50	53	54
Brad50.0%	56	51	52	53	47	48	49	48	49	50
Sarah49.9%	49	49	49	50	51	51	50	50	49	50
Shun49.8%	51	46	51	46	53	50	51	49	50	51
Eileen49.7%	47	44	46	51	53	47	43	49	55	54
El Blaze49.6%	50	46	53	51	48	49	47	49	47	53
Jeffry49.6%	48	50	52	50	50	51	47	49	48	49
Jacky49.4%	48	48	47	50	50	50	50	49	50	50
Taka49.3%	53	51	49	51	50	45	43	50	45	49
Lau49.3%	50	48	53	51	51	47	48	47	49	52
Jean49.3%	48	47	44	53	49	50	55	47	53	49
Lion49.2%	44	51	47	46	50	52	50	51	49	52
Wolf48.7%	49	48	49	49	47	51	50	51	45	50
Dural48.1%	53	49	46	43	55	47	60	48	47	40

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.6 pts behind walls (95% interval -1.2 to +0.1); within chance across the 20 characters tested, q=0.436

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
Aoi52.7%	53	53
Lei Fei51.3%	51	51
Kage50.9%	51	52
Akira50.5%	51	50
Goh50.5%	51	50
Vanessa50.1%	49	51
Brad50.0%	51	48
Sarah49.9%	49	51
Shun49.8%	49	51
Eileen49.7%	49	51
El Blaze49.6%	49	50
Jeffry49.6%	49	50
Jacky49.4%	49	50
Taka49.3%	50	48
Lau49.3%	49	50
Jean49.3%	48	49
Lion49.2%	48	51
Wolf48.7%	48	49
Dural48.1%	48	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	6.94%	4	18,911
North America	7.25%	5	13,875
South America	5.41%	7	9,945
Europe	8.26%	3	1,969
Oceania	14.50%	2	1,002
Middle East	0.28%	5	3
Not recorded	7.92%	3	9,102

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

Win rate49.8%

Standing#13 of 19 · tier C

Pick rate4.7%

Most picked#13 of 19

Matches counted35,719

Unique players284

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Lei Fei	53.67%	761	657	1,418
Wolf	52.17%	1,225	1,123	2,348
Goh	51.41%	1,094	1,034	2,128
Aoi	51.20%	829	790	1,619
Jean	50.87%	1,048	1,012	2,060
Sarah	50.70%	944	918	1,862
Shun	50.61%	949	926	1,875
Vanessa	50.48%	628	616	1,244
El Blaze	50.10%	730	727	1,457
Kage	49.98%	1,158	1,159	2,317
Dural	49.53%	210	214	424
Jacky	49.10%	1,906	1,976	3,882
Brad	48.88%	984	1,029	2,013
Lau	48.82%	1,055	1,106	2,161
Akira	48.67%	1,902	2,006	3,908
Jeffry	47.46%	1,011	1,119	2,130
Taka	47.14%	280	314	594
Lion	46.85%	862	978	1,840
Eileen	46.24%	203	236	439

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
Lei Fei53.7%	57	53	56	55	54	47	49	62	54	50
Wolf52.2%	49	53	51	52	51	52	51	53	54	54
Goh51.4%	52	53	50	52	50	49	47	55	55	49
Aoi51.2%	53	51	54	47	51	57	46	57	49	49
Jean50.9%	48	49	49	50	46	55	50	52	55	54
Sarah50.7%	51	45	53	50	48	45	53	50	59	47
Shun50.6%	55	55	50	54	49	45	49	51	48	55
Vanessa50.5%	44	52	57	52	51	52	53	52	48	52
El Blaze50.1%	55	49	51	55	49	47	49	46	47	51
Kage50.0%	55	56	48	52	50	43	42	51	50	51
Dural49.5%	51	54	47	50	56	38	64	52	33	59
Jacky49.1%	48	50	52	49	48	49	45	47	52	49
Brad48.9%	51	46	55	48	50	49	42	49	49	47
Lau48.8%	47	53	46	52	45	48	52	50	47	49
Akira48.7%	47	50	47	48	50	50	41	52	48	49
Jeffry47.5%	52	51	51	46	43	49	44	43	47	47
Taka47.1%	34	48	41	64	43	50	29	61	51	45
Lion46.9%	48	45	53	45	53	39	44	44	48	43
Eileen46.2%	34	56	36	52	47	56	54	51	53	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+1.3 pts behind walls (95% interval -0.0 to +2.6); within chance across the 20 characters tested, q=0.196

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
Lei Fei53.7%	56	51
Wolf52.2%	52	53
Goh51.4%	53	49
Aoi51.2%	51	53
Jean50.9%	50	52
Sarah50.7%	52	47
Shun50.6%	52	50
Vanessa50.5%	51	52
El Blaze50.1%	50	49
Kage50.0%	52	48
Dural49.5%	49	50
Jacky49.1%	50	49
Brad48.9%	50	49
Lau48.8%	49	47
Akira48.7%	49	50
Jeffry47.5%	48	46
Taka47.1%	49	46
Lion46.9%	47	45
Eileen46.2%	47	46

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
Lei Fei52.4%	54	52	55	52	52	49	50	56	53	51
Shun51.3%	53	54	52	53	51	49	51	51	50	52
Jean50.9%	49	50	51	51	48	53	51	51	52	53
Goh50.8%	51	53	50	50	52	49	49	51	53	50
Aoi50.7%	53	51	51	47	50	54	48	52	51	50
Wolf50.7%	49	52	50	50	50	50	50	52	52	50
El Blaze50.3%	52	48	52	53	50	50	49	50	49	51
Sarah50.2%	50	47	52	50	49	48	50	50	53	49
Vanessa50.1%	48	50	53	50	49	51	51	50	50	51
Kage50.0%	51	54	49	51	50	46	48	49	50	51
Brad49.8%	52	47	54	48	50	50	47	49	51	48
Jacky49.6%	49	50	51	50	49	51	48	48	51	49
Akira49.5%	49	50	48	49	51	50	46	51	50	50
Dural49.4%	51	49	46	49	52	46	57	52	43	56
Lau49.4%	50	51	47	51	47	51	51	50	47	50
Jeffry49.0%	52	50	48	48	47	50	49	48	47	49
Lion48.7%	48	49	52	49	51	45	47	48	50	46
Taka48.5%	42	49	45	56	48	50	39	55	51	47
Eileen47.1%	43	51	41	49	48	52	50	51	52	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+0.5 pts behind walls (95% interval -0.1 to +1.2); within chance across the 20 characters tested, q=0.413

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
Lei Fei52.4%	54	51
Shun51.3%	52	51
Jean50.9%	51	51
Goh50.8%	51	50
Aoi50.7%	51	52
Wolf50.7%	51	50
El Blaze50.3%	50	50
Sarah50.2%	51	48
Vanessa50.1%	50	51
Kage50.0%	51	49
Brad49.8%	50	49
Jacky49.6%	50	50
Akira49.5%	49	50
Dural49.4%	49	51
Lau49.4%	49	49
Jeffry49.0%	49	49
Lion48.7%	49	47
Taka48.5%	49	48
Eileen47.1%	48	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	4.77%	12	24,237
South America	4.23%	13	5,684
North America	7.31%	5	6,219
Europe	0.62%	19	103
Middle East	0.49%	7	5
Oceania	5.87%	4	20
Not recorded	2.79%	16	1,259

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

Win rate48.3%

Standing#12 of 19 · tier B

Pick rate4.3%

Most picked#12 of 19

Matches counted5,607

Unique players38

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Sarah	57.14%	108	81	189
Brad	55.41%	123	99	222
Dural	55.00%	11	9	20
Aoi	54.48%	158	132	290
Vanessa	53.52%	152	132	284
El Blaze	51.17%	131	125	256
Kage	50.59%	257	251	508
Jean	50.00%	60	60	120
Goh	49.57%	57	58	115
Lion	48.43%	216	230	446
Shun	48.33%	116	124	240
Jeffry	47.78%	86	94	180
Akira	46.89%	256	290	546
Wolf	45.79%	98	116	214
Taka	45.71%	48	57	105
Jacky	45.25%	205	248	453
Lei Fei	44.90%	154	189	343
Lau	44.00%	374	476	850
Eileen	43.36%	98	128	226

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
Sarah57.1%	54	52	56	50	70	55	57	62	62	60
Brad55.4%	43	72	64	57	36	23	30	57	71	55
Dural55.0%	50	0	0	100	·	75	100	·	·	40
Aoi54.5%	61	54	59	58	48	48	33	50	62	47
Vanessa53.5%	58	49	56	45	91	45	53	68	51	54
El Blaze51.2%	38	38	47	65	53	56	56	57	50	56
Kage50.6%	55	48	54	42	41	61	41	51	53	49
Jean50.0%	42	75	50	54	33	83	60	73	20	31
Goh49.6%	63	74	20	14	38	100	62	67	15	45
Lion48.4%	39	51	41	46	54	51	44	52	46	55
Shun48.3%	39	33	52	48	48	55	75	54	45	54
Jeffry47.8%	47	50	38	38	48	50	50	41	50	60
Akira46.9%	45	51	41	51	58	48	43	39	45	45
Wolf45.8%	57	48	40	33	43	57	67	53	23	35
Taka45.7%	22	25	50	53	62	57	0	43	65	30
Jacky45.2%	44	47	44	37	44	49	40	44	55	49
Lei Fei44.9%	38	36	42	41	37	48	53	41	50	66
Lau44.0%	36	37	58	48	50	44	49	43	43	40
Eileen43.4%	59	34	38	54	32	69	33	35	21	46

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 -5.3 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
Sarah57.1%	55	59
Brad55.4%	62	45
Dural55.0%	43	56
Aoi54.5%	58	48
Vanessa53.5%	53	58
El Blaze51.2%	49	55
Kage50.6%	50	50
Jean50.0%	54	40
Goh49.6%	49	44
Lion48.4%	46	53
Shun48.3%	47	52
Jeffry47.8%	44	53
Akira46.9%	45	50
Wolf45.8%	43	47
Taka45.7%	46	48
Jacky45.2%	45	47
Lei Fei44.9%	41	51
Lau44.0%	44	45
Eileen43.4%	42	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
Sarah54.5%	52	54	54	51	62	53	47	57	59	58
Aoi53.0%	58	51	54	53	52	49	32	50	56	52
Vanessa52.8%	54	49	55	50	73	51	53	59	51	53
Brad52.7%	49	61	57	54	40	40	40	53	64	53
Shun50.7%	44	41	53	53	51	51	58	54	48	56
Kage50.3%	54	48	52	44	45	55	47	50	51	50
Jeffry50.1%	49	47	51	48	51	50	46	41	51	56
Dural50.0%	56	25	0	75	·	60	60	·	·	41
El Blaze49.9%	44	44	46	57	49	54	54	52	52	54
Lion49.7%	47	52	45	45	54	51	47	51	48	54
Jean49.3%	46	56	46	55	45	67	52	61	36	41
Taka48.8%	42	42	50	52	53	52	25	50	57	42
Goh48.6%	57	60	38	37	44	100	53	54	31	45
Akira48.2%	45	52	45	52	55	49	43	43	47	49
Jacky48.1%	48	49	49	42	47	50	44	47	52	51
Wolf47.5%	55	48	45	40	46	53	54	52	35	43
Lei Fei47.2%	45	43	45	48	42	48	49	46	51	54
Lau46.5%	41	42	52	48	49	48	45	47	46	47
Eileen46.4%	54	42	41	54	40	62	50	48	25	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-1.5 pts behind walls (95% interval -3.3 to +0.3); within chance across the 20 characters tested, q=0.463

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
Sarah54.5%	54	56
Aoi53.0%	54	51
Vanessa52.8%	52	56
Brad52.7%	56	48
Shun50.7%	49	53
Kage50.3%	50	50
Jeffry50.1%	48	53
Dural50.0%	48	49
El Blaze49.9%	49	52
Lion49.7%	48	53
Jean49.3%	51	47
Taka48.8%	50	48
Goh48.6%	49	46
Akira48.2%	47	50
Jacky48.1%	48	49
Wolf47.5%	46	48
Lei Fei47.2%	46	48
Lau46.5%	46	48
Eileen46.4%	46	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	4.45%	10	5,409
North America	6.16%	6	331
Europe	0.00%	19	0
South America	2.38%	8	17
Not recorded	0.91%	18	38

Pai

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