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 rate5.0%

Most picked#12 of 19

Matches counted81,596

Unique players841

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Shun	53.29%	2,491	2,183	4,674
Aoi	52.98%	2,549	2,262	4,811
Vanessa	51.83%	1,560	1,450	3,010
Pai	51.65%	2,391	2,238	4,629
Goh	51.55%	2,330	2,190	4,520
Akira	51.46%	5,147	4,855	10,002
Eileen	50.98%	781	751	1,532
Lei Fei	50.36%	1,547	1,525	3,072
Sarah	50.34%	2,414	2,381	4,795
Kage	50.07%	2,529	2,522	5,051
Jean	49.91%	1,925	1,932	3,857
Brad	49.70%	1,840	1,862	3,702
Wolf	49.56%	2,774	2,823	5,597
El Blaze	49.43%	1,509	1,544	3,053
Jacky	49.31%	3,878	3,987	7,865
Dural	49.27%	304	313	617
Lau	49.14%	2,413	2,497	4,910
Jeffry	48.28%	2,161	2,315	4,476
Taka	44.55%	634	789	1,423

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
Shun53.3%	48	55	56	52	57	57	52	49	55	54
Aoi53.0%	53	54	56	55	50	54	51	52	51	53
Vanessa51.8%	49	51	55	52	50	54	41	55	52	56
Pai51.6%	56	50	52	56	48	51	54	51	52	50
Goh51.5%	53	47	48	53	49	54	54	52	49	57
Akira51.5%	52	51	51	53	49	53	51	50	51	54
Eileen51.0%	57	50	48	48	48	51	67	55	46	45
Lei Fei50.4%	48	50	46	48	55	51	51	54	50	55
Sarah50.3%	51	48	51	51	46	52	47	47	52	54
Kage50.1%	52	48	49	49	54	54	49	48	48	51
Jean49.9%	48	47	50	51	53	52	44	50	50	52
Brad49.7%	53	49	46	52	49	48	52	45	52	50
Wolf49.6%	51	49	50	53	47	49	50	49	50	48
El Blaze49.4%	45	51	48	50	50	54	49	49	46	55
Jacky49.3%	47	50	50	50	46	53	46	46	50	52
Dural49.3%	44	46	47	57	45	53	46	51	50	46
Lau49.1%	47	52	50	49	50	49	43	46	49	54
Jeffry48.3%	45	49	51	44	46	49	46	52	44	54
Taka44.5%	48	42	48	46	46	38	36	50	44	50

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-1.2 pts behind walls (95% interval -2.3 to -0.2); 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
Shun53.3%	52	56
Aoi53.0%	54	52
Vanessa51.8%	52	53
Pai51.6%	53	50
Goh51.5%	50	53
Akira51.5%	51	52
Eileen51.0%	51	48
Lei Fei50.4%	49	53
Sarah50.3%	50	51
Kage50.1%	49	53
Jean49.9%	49	52
Brad49.7%	49	49
Wolf49.6%	50	48
El Blaze49.4%	48	53
Jacky49.3%	49	51
Dural49.3%	49	48
Lau49.1%	49	51
Jeffry48.3%	48	50
Taka44.5%	47	45

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
Shun52.8%	50	53	53	51	55	56	52	50	54	53
Aoi51.6%	52	52	53	51	50	52	51	51	51	51
Goh51.0%	51	48	50	52	51	52	52	51	50	54
Pai51.0%	54	50	51	53	49	51	52	50	51	50
Vanessa50.9%	50	50	53	51	50	52	46	52	52	53
Akira50.8%	51	50	51	52	48	51	52	50	51	52
Eileen50.2%	52	49	49	49	48	50	59	54	47	47
Lei Fei50.2%	49	50	48	49	52	50	50	52	50	54
Kage50.1%	51	50	50	49	52	52	49	51	49	50
Sarah50.0%	50	48	50	50	48	52	49	48	51	52
Jean50.0%	49	49	50	51	51	51	47	49	50	51
El Blaze49.9%	47	50	49	50	51	52	50	50	48	52
Brad49.9%	52	49	49	50	49	48	52	47	51	50
Jacky49.6%	48	49	50	49	48	52	49	48	50	51
Lau49.6%	48	50	50	50	50	49	46	48	49	52
Wolf49.5%	50	49	50	52	48	48	50	50	49	49
Dural49.3%	47	45	48	53	49	50	46	51	50	48
Jeffry48.9%	48	48	50	47	47	49	48	51	47	52
Taka47.1%	49	46	49	48	47	44	43	49	47	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-0.6 pts behind walls (95% interval -1.1 to -0.0); within chance across the 20 characters tested, q=0.113

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
Shun52.8%	52	54
Aoi51.6%	52	51
Goh51.0%	50	52
Pai51.0%	51	50
Vanessa50.9%	51	52
Akira50.8%	51	51
Eileen50.2%	50	49
Lei Fei50.2%	50	52
Kage50.1%	50	51
Sarah50.0%	50	50
Jean50.0%	50	51
El Blaze49.9%	49	52
Brad49.9%	50	49
Jacky49.6%	49	50
Lau49.6%	49	50
Wolf49.5%	50	48
Dural49.3%	49	49
Jeffry48.9%	48	50
Taka47.1%	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	5.41%	9	48,828
North America	4.62%	11	13,023
South America	4.05%	14	12,932
Europe	7.88%	2	3,409
Oceania	0.50%	16	36
Middle East	0.24%	9	5
Not recorded	4.67%	13	7,667

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

Win rate49.8%

Standing#16 of 19 · tier C

Pick rate4.4%

Most picked#10 of 19

Matches counted33,294

Unique players623

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Shun	54.13%	1,075	911	1,986
Eileen	53.24%	361	317	678
Aoi	52.28%	1,411	1,288	2,699
Akira	51.65%	2,285	2,139	4,424
Lau	51.46%	704	664	1,368
Lei Fei	51.36%	490	464	954
Pai	50.49%	1,183	1,160	2,343
Kage	49.57%	754	767	1,521
Vanessa	49.31%	428	440	868
El Blaze	49.16%	640	662	1,302
Jacky	49.08%	1,495	1,551	3,046
Goh	49.05%	978	1,016	1,994
Sarah	48.82%	1,080	1,132	2,212
Brad	47.93%	499	542	1,041
Wolf	47.29%	1,362	1,518	2,880
Jeffry	46.91%	879	995	1,874
Taka	46.84%	274	311	585
Jean	45.92%	608	716	1,324
Dural	44.10%	86	109	195

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
Shun54.1%	51	58	58	55	56	56	55	44	56	52
Eileen53.2%	57	51	52	48	47	51	63	55	51	57
Aoi52.3%	53	50	58	55	47	47	54	51	53	55
Akira51.6%	53	55	51	52	48	56	48	52	48	54
Lau51.5%	50	51	55	57	51	45	43	49	52	55
Lei Fei51.4%	43	54	47	60	51	45	48	52	56	60
Pai50.5%	58	47	54	56	50	44	52	47	51	45
Kage49.6%	50	49	47	49	57	52	49	50	50	45
Vanessa49.3%	49	51	48	44	52	50	42	46	51	55
El Blaze49.2%	42	43	47	55	50	52	51	53	46	57
Jacky49.1%	45	50	50	52	48	53	49	47	49	49
Goh49.0%	53	46	45	50	47	52	51	47	45	54
Sarah48.8%	48	48	47	52	43	50	45	50	51	52
Brad47.9%	49	51	42	40	43	52	57	47	51	52
Wolf47.3%	49	48	49	53	42	47	42	46	46	49
Jeffry46.9%	47	46	50	43	43	46	42	49	44	55
Taka46.8%	47	48	49	38	45	49	50	54	44	49
Jean45.9%	45	47	50	44	43	50	35	41	47	50
Dural44.1%	38	48	36	53	50	56	50	35	62	30

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+0.0 pts behind walls (95% interval -1.5 to +1.6); within chance across the 20 characters tested, q=0.971

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
Shun54.1%	54	55
Eileen53.2%	52	51
Aoi52.3%	54	50
Akira51.6%	52	53
Lau51.5%	53	50
Lei Fei51.4%	52	52
Pai50.5%	52	47
Kage49.6%	49	51
Vanessa49.3%	48	52
El Blaze49.2%	48	53
Jacky49.1%	49	50
Goh49.0%	48	51
Sarah48.8%	49	48
Brad47.9%	47	49
Wolf47.3%	48	46
Jeffry46.9%	47	48
Taka46.8%	47	48
Jean45.9%	46	48
Dural44.1%	44	43

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
Shun53.0%	51	54	54	54	55	55	54	48	55	51
Eileen51.5%	54	48	50	48	47	51	58	56	49	53
Lei Fei51.3%	48	51	48	56	50	47	49	52	53	59
Lau51.2%	50	51	54	54	51	47	47	51	51	54
Aoi51.2%	52	49	55	51	50	49	52	51	52	51
Akira51.0%	52	53	51	51	48	53	51	51	49	52
Pai50.8%	56	49	53	54	50	48	50	49	51	48
Goh49.9%	50	48	48	52	49	51	51	49	49	53
El Blaze49.9%	45	46	48	54	50	50	51	53	49	53
Vanessa49.8%	50	50	50	47	53	49	45	49	51	51
Kage49.6%	49	51	50	48	53	50	49	53	49	47
Jacky49.4%	47	50	50	50	49	52	50	48	49	49
Sarah49.3%	48	49	48	51	46	51	49	49	51	51
Brad49.0%	51	51	48	45	45	50	54	47	50	51
Jeffry48.5%	50	47	49	47	46	48	46	51	46	53
Wolf48.4%	49	48	49	51	45	47	46	48	48	49
Taka48.1%	50	49	50	45	46	50	49	50	47	47
Jean47.6%	49	48	49	48	46	50	42	44	48	49
Dural47.2%	43	44	42	55	53	54	48	47	57	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+0.2 pts behind walls (95% interval -0.6 to +1.0); within chance across the 20 characters tested, q=0.722

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Shun53.0%	53	53
Eileen51.5%	51	50
Lei Fei51.3%	51	52
Lau51.2%	52	51
Aoi51.2%	52	50
Akira51.0%	51	51
Pai50.8%	52	49
Goh49.9%	49	51
El Blaze49.9%	49	51
Vanessa49.8%	49	51
Kage49.6%	50	50
Jacky49.4%	49	50
Sarah49.3%	49	49
Brad49.0%	49	48
Jeffry48.5%	48	49
Wolf48.4%	49	47
Taka48.1%	48	48
Jean47.6%	48	49
Dural47.2%	47	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	4.34%	12	11,821
North America	4.32%	9	8,263
South America	4.28%	10	7,879
Europe	7.32%	5	1,745
Oceania	0.26%	17	18
Middle East	0.46%	4	5
Not recorded	4.43%	12	5,095

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

Win rate51.4%

Standing#5 of 19 · tier A

Pick rate5.0%

Most picked#11 of 19

Matches counted38,167

Unique players315

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Shun	54.17%	1,129	955	2,084
Aoi	53.88%	993	850	1,843
Goh	53.54%	1,165	1,011	2,176
Pai	53.15%	978	862	1,840
Wolf	52.77%	1,258	1,126	2,384
Jean	52.26%	1,191	1,088	2,279
Vanessa	51.90%	737	683	1,420
Dural	51.83%	198	184	382
Lei Fei	51.79%	826	769	1,595
Akira	51.57%	2,334	2,192	4,526
Jacky	51.19%	1,995	1,902	3,897
Brad	50.47%	1,011	992	2,003
Jeffry	50.26%	1,155	1,143	2,298
Sarah	50.02%	1,034	1,033	2,067
Lau	49.91%	1,155	1,159	2,314
El Blaze	49.47%	604	617	1,221
Kage	49.22%	1,364	1,407	2,771
Eileen	47.83%	231	252	483
Taka	43.66%	255	329	584

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
Shun54.2%	44	54	58	51	62	57	50	53	56	55
Aoi53.9%	53	60	55	53	54	66	45	53	48	50
Goh53.5%	54	47	50	56	51	54	56	56	52	57
Pai53.1%	52	55	47	55	47	61	56	56	52	57
Wolf52.8%	56	50	52	54	53	54	60	53	52	48
Jean52.3%	49	48	51	53	56	54	50	56	51	54
Vanessa51.9%	46	47	57	57	45	55	39	60	53	54
Dural51.8%	50	44	56	60	43	55	41	60	45	52
Lei Fei51.8%	53	49	50	43	61	57	54	52	50	54
Akira51.6%	53	48	51	54	49	52	54	49	55	52
Jacky51.2%	51	52	53	50	47	56	48	46	50	55
Brad50.5%	54	51	48	54	51	49	55	41	51	49
Jeffry50.3%	44	52	53	43	50	53	49	53	45	55
Sarah50.0%	54	44	53	47	51	54	48	42	51	54
Lau49.9%	48	55	51	46	48	55	41	50	49	54
El Blaze49.5%	48	56	45	44	53	51	50	43	46	57
Kage49.2%	51	45	48	47	52	55	46	48	47	54
Eileen47.8%	61	45	38	39	48	46	91	61	40	35
Taka43.7%	51	37	49	51	47	29	30	49	46	48

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-2.2 pts behind walls (95% interval -3.5 to -0.9); holds up against the 20 characters tested, q=0.015

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
Shun54.2%	53	58
Aoi53.9%	54	57
Goh53.5%	53	54
Pai53.1%	53	55
Wolf52.8%	53	52
Jean52.3%	51	55
Vanessa51.9%	54	51
Dural51.8%	52	50
Lei Fei51.8%	50	57
Akira51.6%	52	51
Jacky51.2%	50	53
Brad50.5%	50	50
Jeffry50.3%	49	53
Sarah50.0%	48	53
Lau49.9%	50	52
El Blaze49.5%	47	54
Kage49.2%	48	53
Eileen47.8%	48	43
Taka43.7%	47	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
Shun53.3%	48	54	55	51	58	55	51	52	55	54
Aoi52.2%	52	56	52	52	52	58	48	52	51	51
Goh52.0%	53	49	51	53	52	52	52	53	50	53
Jean51.4%	49	49	51	53	53	52	50	53	51	52
Pai51.3%	52	51	48	51	49	55	53	52	50	54
Wolf51.1%	53	50	50	52	52	51	55	51	50	49
Akira50.9%	51	49	51	53	49	51	53	50	53	51
Vanessa50.9%	49	48	55	53	47	52	46	53	52	52
Jacky50.8%	50	50	51	50	49	54	50	49	51	53
Lei Fei50.7%	51	49	51	46	54	54	51	51	50	52
Dural50.4%	50	46	53	51	49	50	43	55	47	51
El Blaze50.2%	48	53	47	46	54	52	51	48	49	53
Brad50.1%	51	50	49	51	50	48	54	46	52	50
Lau49.9%	49	51	50	49	49	52	46	50	50	52
Jeffry49.9%	47	50	52	46	49	51	49	52	47	52
Sarah49.8%	52	46	51	48	50	52	49	45	51	53
Kage49.7%	51	48	49	48	51	53	48	51	49	50
Eileen48.8%	54	48	45	45	51	48	65	52	45	44
Taka46.9%	51	44	49	49	50	40	42	49	48	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-1.1 pts behind walls (95% interval -1.8 to -0.5); holds up against the 20 characters tested, q=0.005

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
Shun53.3%	52	55
Aoi52.2%	52	53
Goh52.0%	51	52
Jean51.4%	51	52
Pai51.3%	51	53
Wolf51.1%	51	50
Akira50.9%	51	50
Vanessa50.9%	52	50
Jacky50.8%	50	52
Lei Fei50.7%	50	53
Dural50.4%	50	50
El Blaze50.2%	48	53
Brad50.1%	50	49
Lau49.9%	50	51
Jeffry49.9%	49	51
Sarah49.8%	49	52
Kage49.7%	49	51
Eileen48.8%	48	47
Taka46.9%	48	46

Worse on this stageNo changeBetter on this stage

Where they are played

Share of that region's own picks, and where that ranks

Region	Share	Standing	Appearances
Asia	5.46%	8	27,787
South America	3.59%	15	4,834
North America	4.03%	13	3,425
Europe	9.08%	3	1,510
Middle East	0.00%	15	0
Oceania	5.28%	5	18
Not recorded	4.97%	8	2,243

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

Win rate49.1%

Standing#9 of 19 · tier B

Pick rate8.4%

Most picked#4 of 19

Matches counted10,135

Unique players62

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	58.14%	300	216	516
Vanessa	54.71%	395	327	722
Kage	54.15%	411	348	759
Aoi	53.90%	145	124	269
Goh	53.43%	187	163	350
Pai	51.57%	230	216	446
Eileen	50.94%	189	182	371
Akira	50.19%	528	524	1,052
Brad	50.15%	330	328	658
Dural	50.00%	20	20	40
El Blaze	50.00%	265	265	530
Jean	49.61%	126	128	254
Shun	47.52%	287	317	604
Wolf	46.25%	154	179	333
Lau	45.11%	554	674	1,228
Lei Fei	44.17%	231	292	523
Jacky	42.08%	388	534	922
Jeffry	41.78%	127	177	304
Taka	41.34%	105	149	254

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
Sarah58.1%	55	63	55	56	51	50	53	59	62	64
Vanessa54.7%	54	58	55	51	55	55	46	55	53	64
Kage54.1%	59	54	54	56	56	56	57	41	48	56
Aoi53.9%	58	55	42	54	45	52	71	47	57	61
Goh53.4%	47	50	49	48	54	63	56	52	59	67
Pai51.6%	61	49	59	54	46	49	56	48	54	45
Eileen50.9%	52	56	54	67	49	60	50	49	42	37
Akira50.2%	47	50	46	51	51	48	52	48	51	67
Brad50.1%	55	41	47	59	60	38	40	51	53	51
Dural50.0%	33	·	43	·	50	0	·	45	100	100
El Blaze50.0%	48	60	58	48	42	68	41	49	44	41
Jean49.6%	58	48	38	62	59	40	17	47	56	35
Shun47.5%	49	41	40	42	40	65	49	52	48	56
Wolf46.2%	33	53	47	50	44	42	58	48	62	41
Lau45.1%	42	46	40	45	54	42	44	35	46	53
Lei Fei44.2%	38	44	32	38	46	47	50	65	39	48
Jacky42.1%	39	38	43	47	34	41	30	46	47	50
Jeffry41.8%	40	33	40	50	31	37	46	50	42	45
Taka41.3%	42	43	40	50	46	36	26	43	41	54

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-1.6 pts behind walls (95% interval -4.2 to +0.9); 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
Sarah58.1%	59	54
Vanessa54.7%	54	57
Kage54.1%	53	56
Aoi53.9%	53	54
Goh53.4%	51	61
Pai51.6%	54	47
Eileen50.9%	52	49
Akira50.2%	49	54
Brad50.1%	51	50
Dural50.0%	47	50
El Blaze50.0%	51	50
Jean49.6%	53	48
Shun47.5%	46	53
Wolf46.2%	48	42
Lau45.1%	42	49
Lei Fei44.2%	42	47
Jacky42.1%	43	42
Jeffry41.8%	44	38
Taka41.3%	43	45

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
Sarah54.3%	53	58	52	52	52	52	52	55	56	53
Kage52.6%	57	53	52	52	54	54	53	46	50	54
Vanessa52.4%	51	55	52	49	53	54	47	51	52	58
Aoi51.8%	53	53	48	50	44	52	58	52	53	56
Goh51.7%	46	50	50	50	54	54	52	51	53	63
Brad50.5%	55	45	50	55	54	45	46	50	52	51
Shun50.4%	52	46	45	48	47	58	52	51	51	56
Pai50.3%	53	48	55	55	46	49	53	49	52	46
Akira49.9%	49	48	48	50	51	47	50	50	50	60
Jean49.8%	54	47	44	57	53	46	37	46	53	44
Eileen49.7%	47	53	54	61	48	53	58	50	45	40
El Blaze49.6%	50	53	54	48	48	58	47	48	46	45
Dural48.8%	38	·	46	·	44	14	·	48	75	67
Wolf48.1%	42	52	47	51	47	43	51	51	55	47
Lau47.1%	44	48	46	47	52	46	45	43	46	52
Lei Fei46.9%	43	48	43	42	48	48	49	55	44	50
Jacky45.6%	44	44	46	47	43	44	41	47	47	49
Taka45.3%	45	49	47	49	44	42	37	47	44	52
Jeffry43.2%	41	31	41	51	36	40	49	49	43	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-1.1 pts behind walls (95% interval -2.4 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
Sarah54.3%	55	52
Kage52.6%	52	54
Vanessa52.4%	51	55
Aoi51.8%	52	51
Goh51.7%	50	57
Brad50.5%	51	50
Shun50.4%	49	54
Pai50.3%	52	47
Akira49.9%	49	52
Jean49.8%	51	49
Eileen49.7%	51	47
El Blaze49.6%	50	50
Dural48.8%	48	44
Wolf48.1%	49	46
Lau47.1%	46	50
Lei Fei46.9%	46	48
Jacky45.6%	46	46
Taka45.3%	47	46
Jeffry43.2%	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	7.59%	5	9,220
North America	24.86%	1	1,335
Europe	5.53%	7	154
South America	30.72%	1	219
Not recorded	7.90%	4	329

Lion

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