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

Win rate49.9%

Standing#11 of 19 · tier B

Pick rate9.5%

Most picked#2 of 19

Matches counted148,098

Unique players1,240

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	51.83%	4,583	4,259	8,842
Pai	51.36%	4,629	4,384	9,013
Akira	51.19%	9,912	9,450	19,362
Shun	50.88%	4,430	4,277	8,707
Wolf	50.71%	5,949	5,783	11,732
Lion	50.69%	3,987	3,878	7,865
Sarah	50.57%	4,649	4,544	9,193
Goh	50.36%	4,455	4,392	8,847
Eileen	49.75%	1,406	1,420	2,826
Vanessa	49.60%	2,860	2,906	5,766
Jeffry	49.36%	4,485	4,602	9,087
Lei Fei	49.28%	2,638	2,715	5,353
Lau	48.84%	4,184	4,382	8,566
Dural	48.74%	660	694	1,354
Jean	48.35%	3,594	3,840	7,434
Kage	48.12%	4,229	4,559	8,788
Taka	47.23%	1,330	1,486	2,816
Brad	47.04%	3,185	3,586	6,771
El Blaze	46.92%	2,710	3,066	5,776

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
Aoi51.8%	50	53	53	52	52	53	44	53	51	52
Pai51.4%	54	52	52	52	52	50	53	52	49	50
Akira51.2%	51	52	52	51	51	51	48	51	51	50
Shun50.9%	52	52	49	50	49	49	51	53	53	50
Wolf50.7%	51	50	51	52	52	49	50	52	50	49
Lion50.7%	53	50	50	50	54	47	54	54	50	48
Sarah50.6%	51	49	51	50	52	50	50	50	50	52
Goh50.4%	50	54	50	53	52	49	49	49	51	48
Eileen49.8%	48	51	56	52	50	49	47	50	48	47
Vanessa49.6%	50	53	48	52	44	48	50	53	48	48
Jeffry49.4%	48	46	51	49	49	53	48	48	50	51
Lei Fei49.3%	50	51	51	52	46	50	48	50	48	46
Lau48.8%	48	50	47	50	51	46	53	50	47	48
Dural48.7%	60	49	45	50	50	42	48	49	48	46
Jean48.4%	48	49	50	50	48	48	46	50	50	46
Kage48.1%	50	47	50	47	45	48	47	50	48	49
Taka47.2%	50	40	47	50	46	42	52	48	46	47
Brad47.0%	45	47	50	48	46	45	49	44	49	47
El Blaze46.9%	48	46	43	48	50	45	51	45	47	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+0.9 pts behind walls (95% interval +0.1 to +1.7); within chance across the 20 characters tested, q=0.075

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
Aoi51.8%	52	53
Pai51.4%	52	51
Akira51.2%	52	51
Shun50.9%	52	49
Wolf50.7%	51	50
Lion50.7%	51	49
Sarah50.6%	50	51
Goh50.4%	51	49
Eileen49.8%	51	49
Vanessa49.6%	51	47
Jeffry49.4%	49	51
Lei Fei49.3%	50	48
Lau48.8%	49	48
Dural48.7%	50	46
Jean48.4%	49	47
Kage48.1%	49	47
Taka47.2%	47	45
Brad47.0%	47	46
El Blaze46.9%	46	47

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points

How significance is decided

Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Shun51.3%	52	52	51	50	51	50	51	53	52	50
Aoi51.0%	50	52	52	51	50	52	48	51	51	51
Akira50.9%	51	52	51	51	51	51	50	51	51	50
Pai50.6%	51	51	51	51	51	50	51	51	49	50
Lion50.4%	52	51	50	51	52	48	51	52	50	49
Wolf50.3%	51	50	50	51	51	49	50	51	50	50
Sarah50.2%	50	49	51	50	51	50	50	50	50	51
Goh50.2%	50	52	50	51	51	50	49	49	50	49
Eileen49.8%	49	50	53	51	50	48	50	50	49	49
Vanessa49.7%	49	51	49	50	48	49	50	52	49	49
Jeffry49.5%	49	48	51	50	50	51	48	49	50	50
Lei Fei49.5%	50	50	50	50	49	50	49	50	49	48
Lau49.5%	49	50	48	51	51	48	51	50	49	49
Dural49.2%	55	49	47	50	48	47	48	51	50	47
Kage49.1%	50	48	50	48	48	49	48	50	49	49
Jean48.9%	48	49	50	50	49	48	47	49	50	48
Taka48.9%	50	46	49	51	49	46	51	49	49	47
Brad48.5%	47	49	50	49	48	47	48	48	49	48
El Blaze48.2%	49	48	47	49	49	47	51	47	48	47

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.5 pts behind walls (95% interval +0.1 to +0.9); holds up against the 20 characters tested, q=0.039

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
Shun51.3%	52	51
Aoi51.0%	51	51
Akira50.9%	51	51
Pai50.6%	51	50
Lion50.4%	51	50
Wolf50.3%	50	50
Sarah50.2%	50	51
Goh50.2%	50	50
Eileen49.8%	50	49
Vanessa49.7%	50	49
Jeffry49.5%	49	50
Lei Fei49.5%	50	49
Lau49.5%	50	49
Dural49.2%	50	47
Kage49.1%	49	49
Jean48.9%	49	48
Taka48.9%	49	47
Brad48.5%	49	48
El Blaze48.2%	48	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	9.76%	2	88,060
North America	8.49%	3	23,928
South America	8.71%	2	27,798
Europe	6.67%	7	2,886
Oceania	1.86%	12	135
Middle East	70.44%	1	1,475
Not recorded	11.34%	2	18,634

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

Win rate50.7%

Standing#7 of 19 · tier A

Pick rate8.9%

Most picked#2 of 19

Matches counted65,089

Unique players916

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	54.75%	2,822	2,332	5,154
Akira	52.57%	4,900	4,421	9,321
Sarah	52.22%	2,308	2,112	4,420
Eileen	51.41%	695	657	1,352
Pai	51.41%	2,405	2,273	4,678
Lion	50.92%	1,551	1,495	3,046
Shun	50.47%	2,040	2,002	4,042
Lei Fei	50.35%	852	840	1,692
Wolf	50.27%	3,220	3,186	6,406
Jeffry	49.96%	2,057	2,060	4,117
Kage	49.67%	1,443	1,462	2,905
Vanessa	49.08%	1,095	1,136	2,231
Goh	49.02%	1,819	1,892	3,711
Taka	49.00%	566	589	1,155
Lau	48.67%	1,423	1,501	2,924
Brad	48.60%	1,076	1,138	2,214
El Blaze	48.30%	1,193	1,277	2,470
Dural	48.19%	239	257	496
Jean	46.17%	1,272	1,483	2,755

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%	51	57	55	55	53	56	45	58	57	55
Akira52.6%	53	55	54	50	50	53	49	55	54	51
Sarah52.2%	52	53	48	53	57	51	51	53	51	52
Eileen51.4%	47	59	55	57	47	48	57	55	49	45
Pai51.4%	55	53	55	52	53	50	50	50	51	50
Lion50.9%	55	50	50	48	52	47	51	53	51	51
Shun50.5%	52	48	47	48	50	47	55	56	52	50
Lei Fei50.4%	49	56	49	54	44	48	51	55	50	46
Wolf50.3%	52	48	51	51	53	49	52	49	49	48
Jeffry50.0%	51	47	49	48	52	56	52	48	48	51
Kage49.7%	57	47	53	49	44	50	43	52	50	48
Vanessa49.1%	52	54	47	47	44	49	47	52	46	50
Goh49.0%	48	51	47	51	52	46	50	48	50	49
Taka49.0%	51	41	46	54	51	46	56	46	49	40
Lau48.7%	51	51	47	46	48	50	50	51	46	48
Brad48.6%	44	49	52	48	44	54	50	43	53	48
El Blaze48.3%	48	47	44	53	50	49	54	45	52	44
Dural48.2%	59	49	41	51	54	41	55	56	44	40
Jean46.2%	44	47	48	49	42	47	47	47	47	49

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+0.9 pts behind walls (95% interval -0.1 to +2.0); 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
Aoi54.8%	56	55
Akira52.6%	53	51
Sarah52.2%	52	53
Eileen51.4%	53	47
Pai51.4%	53	51
Lion50.9%	51	50
Shun50.5%	51	49
Lei Fei50.4%	52	46
Wolf50.3%	50	50
Jeffry50.0%	49	53
Kage49.7%	51	47
Vanessa49.1%	50	48
Goh49.0%	49	49
Taka49.0%	48	47
Lau48.7%	49	48
Brad48.6%	48	49
El Blaze48.3%	48	48
Dural48.2%	50	44
Jean46.2%	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
Aoi52.8%	50	54	53	54	51	53	48	54	54	53
Akira51.8%	52	53	52	51	50	52	50	52	53	51
Sarah51.0%	50	50	50	52	54	50	51	52	51	51
Shun51.0%	52	51	49	49	51	49	53	54	51	51
Lion50.6%	53	50	50	50	51	48	50	52	51	51
Pai50.6%	52	52	53	50	50	50	50	51	50	50
Eileen50.3%	48	54	52	54	49	48	53	52	49	48
Lei Fei50.2%	49	53	49	51	48	50	52	53	51	47
Wolf50.1%	51	49	50	51	52	49	51	50	49	49
Taka50.0%	51	45	48	53	50	49	55	48	51	44
Jeffry49.9%	50	49	50	50	51	53	50	49	49	50
Kage49.9%	53	49	52	50	46	50	45	51	50	50
Lau49.5%	51	51	49	49	49	50	49	51	48	49
Goh49.5%	50	52	48	50	51	48	49	48	50	51
Vanessa49.5%	50	51	48	48	48	50	48	51	48	50
Brad49.1%	46	50	50	50	47	53	48	46	51	48
El Blaze49.0%	49	48	47	52	51	49	53	46	51	46
Dural49.0%	53	50	43	51	50	48	50	54	49	44
Jean47.9%	46	48	49	50	45	48	47	48	49	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+0.5 pts behind walls (95% interval -0.1 to +1.1); 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
Aoi52.8%	53	52
Akira51.8%	52	51
Sarah51.0%	51	52
Shun51.0%	51	50
Lion50.6%	51	50
Pai50.6%	51	50
Eileen50.3%	51	48
Lei Fei50.2%	51	48
Wolf50.1%	50	50
Taka50.0%	50	48
Jeffry49.9%	49	51
Kage49.9%	51	49
Lau49.5%	50	49
Goh49.5%	50	50
Vanessa49.5%	49	49
Brad49.1%	49	49
El Blaze49.0%	49	49
Dural49.0%	50	47
Jean47.9%	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	8.73%	3	23,776
North America	8.60%	4	16,469
South America	9.34%	3	17,176
Europe	7.29%	6	1,737
Oceania	1.95%	12	135
Middle East	87.12%	1	940
Not recorded	9.48%	2	10,894

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

Win rate49.0%

Standing#16 of 19 · tier C

Pick rate10.1%

Most picked#2 of 19

Matches counted71,716

Unique players496

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	51.48%	2,508	2,364	4,872
Goh	51.00%	2,442	2,346	4,788
Pai	50.90%	1,976	1,906	3,882
Shun	50.39%	2,011	1,980	3,991
Akira	50.37%	4,388	4,324	8,712
Jean	49.47%	2,190	2,237	4,427
Sarah	49.31%	2,077	2,135	4,212
Lau	49.28%	2,121	2,183	4,304
Lion	48.81%	1,902	1,995	3,897
Dural	48.70%	392	413	805
Lei Fei	48.52%	1,506	1,598	3,104
Jeffry	48.37%	2,285	2,439	4,724
Vanessa	48.01%	1,266	1,371	2,637
Aoi	47.62%	1,590	1,749	3,339
Kage	46.93%	2,247	2,541	4,788
Eileen	46.39%	488	564	1,052
El Blaze	46.21%	1,281	1,491	2,772
Taka	45.59%	662	790	1,452
Brad	45.55%	1,803	2,155	3,958

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
Wolf51.5%	51	53	51	52	52	49	48	55	50	51
Goh51.0%	51	56	51	54	52	50	47	49	51	46
Pai50.9%	52	50	48	51	52	51	55	53	48	51
Shun50.4%	51	54	52	52	48	48	45	52	54	47
Akira50.4%	51	51	52	52	52	50	48	50	48	49
Jean49.5%	49	50	51	49	52	50	44	52	51	44
Sarah49.3%	50	47	55	48	48	47	48	48	50	52
Lau49.3%	50	52	47	52	54	40	55	50	49	46
Lion48.8%	49	48	47	50	53	44	52	54	50	45
Dural48.7%	62	49	46	46	48	40	42	46	53	50
Lei Fei48.5%	51	49	51	50	47	50	46	48	48	46
Jeffry48.4%	45	45	53	49	46	50	44	48	51	50
Vanessa48.0%	46	50	48	54	41	44	52	51	50	44
Aoi47.6%	48	47	52	48	50	50	44	47	43	47
Kage46.9%	47	46	47	46	46	46	48	48	48	48
Eileen46.4%	48	40	52	51	52	45	40	43	44	46
El Blaze46.2%	47	44	46	45	53	41	49	45	43	47
Taka45.6%	48	39	48	47	42	41	47	49	41	49
Brad45.5%	45	45	49	48	47	39	46	43	48	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+1.4 pts behind walls (95% interval +0.4 to +2.3); holds up against the 20 characters tested, q=0.036

How significance is decided

Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Wolf51.5%	52	51
Goh51.0%	52	50
Pai50.9%	50	51
Shun50.4%	52	48
Akira50.4%	51	50
Jean49.5%	50	48
Sarah49.3%	50	49
Lau49.3%	50	46
Lion48.8%	50	47
Dural48.7%	50	47
Lei Fei48.5%	49	48
Jeffry48.4%	49	49
Vanessa48.0%	50	43
Aoi47.6%	47	49
Kage46.9%	47	47
Eileen46.4%	47	47
El Blaze46.2%	45	47
Taka45.6%	45	44
Brad45.5%	46	44

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points

How significance is decided

Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Shun51.1%	51	53	53	52	50	50	47	52	53	48
Wolf50.7%	50	51	50	51	51	50	49	52	51	51
Goh50.5%	50	54	51	52	52	50	48	49	50	48
Pai50.4%	51	50	49	50	51	49	52	52	49	51
Akira50.4%	50	51	51	51	51	50	49	50	49	50
Sarah49.6%	50	48	52	50	48	49	49	49	50	51
Lau49.5%	50	50	48	51	52	45	52	50	50	48
Jean49.5%	49	49	50	50	51	50	47	50	51	47
Lion49.2%	50	50	49	50	51	46	50	51	49	47
Dural49.1%	57	49	48	48	47	45	46	49	52	49
Lei Fei49.1%	51	48	51	50	49	50	49	48	48	48
Vanessa49.0%	47	50	49	51	46	47	51	52	50	47
Jeffry48.9%	48	47	51	50	47	50	46	49	50	50
Aoi48.4%	49	49	50	49	49	50	47	47	46	48
Kage48.3%	49	48	48	47	49	48	49	49	48	48
Eileen48.2%	49	47	51	51	50	46	47	46	47	48
Taka47.9%	48	47	50	49	47	43	48	50	46	49
Brad47.7%	48	48	49	48	49	44	47	47	49	48
El Blaze47.5%	49	47	48	47	50	45	49	47	46	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 +0.3 to +1.2); holds up against the 20 characters tested, q=0.011

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
Shun51.1%	52	50
Wolf50.7%	51	51
Goh50.5%	51	50
Pai50.4%	50	50
Akira50.4%	50	50
Sarah49.6%	50	49
Lau49.5%	50	48
Jean49.5%	50	49
Lion49.2%	50	48
Dural49.1%	50	47
Lei Fei49.1%	49	49
Vanessa49.0%	50	46
Jeffry48.9%	49	49
Aoi48.4%	48	49
Kage48.3%	48	48
Eileen48.2%	49	48
Taka47.9%	48	47
Brad47.7%	48	47
El Blaze47.5%	47	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	10.52%	1	53,516
South America	7.90%	3	10,622
North America	8.28%	4	7,041
Europe	6.77%	6	1,126
Middle East	52.71%	1	535
Oceania	0.00%	12	0
Not recorded	14.77%	2	6,670

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

Win rate51.0%

Standing#7 of 19 · tier A

Pick rate9.1%

Most picked#3 of 19

Matches counted11,293

Unique players84

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jeffry	58.13%	143	103	246
Lion	57.92%	534	388	922
Shun	56.23%	379	295	674
Goh	55.75%	194	154	348
Vanessa	55.57%	499	399	898
Pai	54.75%	248	205	453
Dural	54.72%	29	24	53
Eileen	52.84%	223	199	422
Jean	52.38%	132	120	252
Brad	51.09%	306	293	599
Lei Fei	50.27%	280	277	557
Kage	49.22%	539	556	1,095
Aoi	49.00%	171	178	349
Taka	48.80%	102	107	209
Wolf	48.68%	221	233	454
Lau	47.83%	640	698	1,338
Sarah	47.06%	264	297	561
Akira	46.95%	624	705	1,329
El Blaze	44.19%	236	298	534

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
Jeffry58.1%	42	52	56	63	68	67	36	60	62	58
Lion57.9%	61	62	57	53	66	59	70	54	53	50
Shun56.2%	57	62	49	51	54	59	79	49	51	66
Goh55.8%	49	45	55	58	44	62	67	65	61	53
Vanessa55.6%	56	58	52	60	59	54	53	61	49	54
Pai54.8%	56	53	56	63	56	51	60	56	45	51
Dural54.7%	50	·	67	100	50	55	·	50	36	50
Eileen52.8%	50	48	70	41	59	62	33	53	58	54
Jean52.4%	60	66	55	67	48	31	83	34	59	53
Brad51.1%	48	56	52	50	47	52	61	52	45	50
Lei Fei50.3%	54	52	52	56	52	51	48	46	44	48
Kage49.2%	43	46	52	44	47	50	56	54	47	55
Aoi49.0%	44	44	42	46	57	45	50	48	48	86
Taka48.8%	60	47	42	53	41	35	56	67	52	61
Wolf48.7%	43	51	48	71	36	42	37	56	53	49
Lau47.8%	38	42	47	54	48	57	55	47	41	55
Sarah47.1%	52	35	44	39	56	64	45	38	47	50
Akira47.0%	39	46	47	47	50	53	47	45	53	49
El Blaze44.2%	52	51	27	48	33	44	47	50	46	45

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-2.2 pts behind walls (95% interval -4.6 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
Jeffry58.1%	57	63
Lion57.9%	57	58
Shun56.2%	53	59
Goh55.8%	56	53
Vanessa55.6%	56	56
Pai54.8%	55	53
Dural54.7%	53	53
Eileen52.8%	54	58
Jean52.4%	56	43
Brad51.1%	51	50
Lei Fei50.3%	50	51
Kage49.2%	48	51
Aoi49.0%	45	59
Taka48.8%	53	44
Wolf48.7%	53	43
Lau47.8%	45	54
Sarah47.1%	42	56
Akira47.0%	46	50
El Blaze44.2%	45	41

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

WP = win probability. Change from this character's own round win rate, in points

How significance is decided

Each gap is two win rates compared with a pooled two-proportion z test, over decided matches only.
The 95% interval is Newcombe's hybrid score method, which keeps its shape near 0% and 100% where a symmetric interval does not.
q is p corrected for how many tests were asked at once, by Benjamini–Hochberg at a 5% false discovery rate. A figure is called real on q, never on p alone.
Standard errors are widened by a measured design effect, because one player appears in many matches and those matches are not independent of each other.
Stages are assigned at random, so a gap between them is the stage's own effect and not a difference in who chose to play where.

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Jeffry54.7%	45	52	54	56	63	60	46	55	54	55
Shun54.7%	56	57	52	51	54	56	68	49	51	63
Lion54.4%	56	56	54	53	57	56	59	53	53	51
Goh52.6%	49	46	53	55	47	55	58	56	57	55
Vanessa52.3%	53	54	50	53	54	52	49	54	51	51
Eileen52.2%	52	48	61	45	53	55	46	53	55	54
Dural52.0%	44	·	67	63	50	51	·	54	44	56
Pai51.9%	52	51	51	58	53	50	56	53	48	49
Brad51.2%	47	55	53	51	48	51	54	53	49	53
Kage50.5%	48	49	51	48	50	51	55	53	48	52
Jean50.4%	53	56	52	54	51	38	67	41	59	52
Taka50.3%	57	49	47	53	48	44	51	57	54	57
Wolf50.0%	47	49	49	62	46	45	43	56	52	51
Lei Fei49.6%	51	49	53	52	50	50	47	51	47	48
Aoi49.3%	46	45	48	49	53	47	52	50	47	64
Lau49.1%	45	48	49	52	50	53	51	48	46	52
Sarah48.6%	51	44	47	45	51	55	49	43	49	52
Akira48.5%	44	49	49	50	48	52	49	46	51	50
El Blaze47.7%	52	54	40	50	42	46	48	50	49	47

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.9 pts behind walls (95% interval -2.2 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
Jeffry54.7%	54	59
Shun54.7%	53	57
Lion54.4%	54	54
Goh52.6%	52	52
Vanessa52.3%	53	52
Eileen52.2%	53	54
Dural52.0%	51	51
Pai51.9%	52	51
Brad51.2%	52	50
Kage50.5%	50	51
Jean50.4%	52	46
Taka50.3%	52	49
Wolf50.0%	52	48
Lei Fei49.6%	51	50
Aoi49.3%	48	53
Lau49.1%	48	52
Sarah48.6%	46	53
Akira48.5%	48	50
El Blaze47.7%	49	45

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	8.86%	3	10,768
North America	7.78%	4	418
Europe	0.83%	18	23
South America	0.00%	16	0
Not recorded	25.68%	1	1,070

Jacky

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