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Win rate48.4%

Standing#18 of 19 · tier D

Pick rate11.8%

Most picked#1 of 19

Matches counted179,098

Unique players1,200

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	51.86%	6,213	5,768	11,981
Pai	50.20%	5,785	5,738	11,523
Brad	50.06%	4,160	4,150	8,310
Goh	49.36%	5,302	5,439	10,741
Jacky	48.81%	9,450	9,912	19,362
Sarah	48.72%	5,720	6,021	11,741
Lion	48.54%	4,855	5,147	10,002
Shun	48.31%	5,044	5,396	10,440
Kage	48.18%	5,108	5,493	10,601
Vanessa	48.09%	3,265	3,524	6,789
Eileen	47.80%	1,753	1,914	3,667
Wolf	47.69%	6,595	7,233	13,828
Lau	47.54%	4,772	5,266	10,038
Lei Fei	47.52%	3,373	3,725	7,098
El Blaze	47.31%	3,318	3,696	7,014
Jeffry	47.12%	5,281	5,927	11,208
Jean	46.16%	4,289	5,003	9,292
Dural	45.67%	760	904	1,664
Taka	44.72%	1,699	2,100	3,799

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
Aoi51.9%	55	52	51	52	53	53	50	52	51	52
Pai50.2%	52	47	52	49	47	50	54	50	50	52
Brad50.1%	50	50	53	46	48	48	50	53	52	49
Goh49.4%	50	50	48	51	48	48	49	50	53	49
Jacky48.8%	49	48	48	49	49	49	52	49	49	50
Sarah48.7%	51	49	49	48	47	50	47	49	52	45
Lion48.5%	48	49	49	47	51	47	49	50	49	46
Shun48.3%	47	49	49	49	49	44	49	48	52	47
Kage48.2%	50	47	49	49	46	49	47	47	50	48
Vanessa48.1%	49	46	51	45	46	49	48	50	48	49
Eileen47.8%	50	42	45	46	51	49	52	47	47	51
Wolf47.7%	51	49	48	48	43	46	48	49	47	46
Lau47.5%	46	48	46	50	50	48	44	47	49	45
Lei Fei47.5%	49	47	47	47	45	49	47	47	48	48
El Blaze47.3%	46	49	48	48	49	43	47	49	48	45
Jeffry47.1%	47	47	49	49	45	46	46	46	47	49
Jean46.2%	47	47	48	46	46	46	46	49	45	46
Dural45.7%	43	44	43	46	44	52	49	42	49	44
Taka44.7%	51	42	49	42	45	43	38	45	44	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+0.8 pts behind walls (95% interval +0.1 to +1.6); 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
Aoi51.9%	52	52
Pai50.2%	50	50
Brad50.1%	51	48
Goh49.4%	50	48
Jacky48.8%	48	49
Sarah48.7%	49	48
Lion48.5%	49	48
Shun48.3%	49	47
Kage48.2%	49	48
Vanessa48.1%	48	48
Eileen47.8%	46	51
Wolf47.7%	49	45
Lau47.5%	48	48
Lei Fei47.5%	48	47
El Blaze47.3%	48	46
Jeffry47.1%	48	46
Jean46.2%	47	46
Dural45.7%	44	47
Taka44.7%	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
Aoi50.9%	52	51	51	51	51	52	50	51	50	50
Brad50.0%	49	50	51	48	49	50	50	52	51	49
Pai50.0%	50	48	51	49	48	50	51	50	50	51
Shun49.9%	49	50	50	50	51	48	49	50	52	50
Goh49.6%	50	51	49	50	49	48	49	49	51	50
Lion49.2%	49	50	49	48	52	49	48	50	49	48
Jacky49.1%	49	48	49	49	49	49	50	49	49	50
Sarah49.0%	50	48	49	48	48	49	48	50	51	48
Vanessa49.0%	50	48	50	47	48	50	49	50	48	49
Kage48.8%	50	48	49	49	47	49	48	48	50	49
Wolf48.7%	51	49	49	49	47	48	49	49	49	48
Lau48.6%	48	49	48	50	50	49	47	48	49	48
Eileen48.6%	49	45	47	48	50	48	52	48	49	51
Lei Fei48.4%	49	47	48	48	47	50	49	48	48	50
El Blaze48.2%	48	50	48	48	49	46	48	49	49	47
Jeffry48.2%	48	48	49	49	47	48	48	48	48	49
Jean47.9%	48	48	49	47	48	48	47	49	47	49
Dural47.5%	45	46	47	47	47	51	50	46	50	47
Taka46.9%	50	46	49	46	46	45	44	48	47	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+0.3 pts behind walls (95% interval -0.0 to +0.7); within chance across the 20 characters tested, q=0.198

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
Aoi50.9%	51	51
Brad50.0%	50	49
Pai50.0%	50	50
Shun49.9%	50	49
Goh49.6%	50	49
Lion49.2%	49	49
Jacky49.1%	49	49
Sarah49.0%	49	48
Vanessa49.0%	49	49
Kage48.8%	49	49
Wolf48.7%	49	48
Lau48.6%	49	49
Eileen48.6%	48	50
Lei Fei48.4%	48	49
El Blaze48.2%	49	48
Jeffry48.2%	48	48
Jean47.9%	48	48
Dural47.5%	47	48
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	11.25%	1	101,533
North America	11.46%	1	32,301
South America	12.75%	1	40,694
Europe	15.77%	1	6,820
Oceania	10.41%	5	755
Middle East	19.15%	2	401
Not recorded	12.07%	1	19,824

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Win rate47.6%

Standing#18 of 19 · tier D

Pick rate13.0%

Most picked#1 of 19

Matches counted90,550

Unique players932

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	52.71%	4,110	3,688	7,798
Goh	49.45%	2,664	2,723	5,387
Pai	49.36%	3,489	3,580	7,069
Brad	48.93%	1,664	1,737	3,401
Lion	48.35%	2,139	2,285	4,424
Sarah	48.03%	3,263	3,530	6,793
Kage	47.77%	2,146	2,346	4,492
Lei Fei	47.73%	1,364	1,494	2,858
El Blaze	47.56%	1,712	1,888	3,600
Jacky	47.43%	4,421	4,900	9,321
Lau	46.74%	1,993	2,271	4,264
Shun	46.13%	2,602	3,039	5,641
Wolf	46.05%	3,722	4,361	8,083
Vanessa	45.89%	1,425	1,680	3,105
Jeffry	45.72%	2,615	3,104	5,719
Eileen	45.66%	958	1,140	2,098
Taka	45.32%	916	1,105	2,021
Jean	43.90%	1,698	2,170	3,868
Dural	40.30%	245	363	608

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
Aoi52.7%	54	53	53	52	54	54	54	52	50	53
Goh49.5%	47	50	49	53	50	49	52	47	52	47
Pai49.4%	50	46	52	48	46	50	51	51	48	52
Brad48.9%	45	52	50	47	45	45	49	56	50	47
Lion48.4%	47	45	49	48	52	44	52	48	52	46
Sarah48.0%	52	47	47	48	46	49	47	50	50	44
Kage47.8%	45	45	48	51	48	49	46	47	50	49
Lei Fei47.7%	48	44	51	51	44	48	48	47	50	46
El Blaze47.6%	47	51	47	46	50	43	45	51	47	46
Jacky47.4%	47	45	46	50	50	47	51	45	46	49
Lau46.7%	43	49	44	52	48	48	50	42	47	48
Shun46.1%	45	47	47	47	47	41	49	47	48	43
Wolf46.0%	50	47	46	48	42	42	48	48	47	44
Vanessa45.9%	52	45	49	40	45	48	48	43	46	45
Jeffry45.7%	48	44	47	49	44	43	44	45	43	48
Eileen45.7%	48	41	43	41	49	53	48	42	41	50
Taka45.3%	55	41	53	44	45	44	31	43	45	42
Jean43.9%	46	43	45	44	42	46	43	48	41	44
Dural40.3%	39	42	37	38	36	41	52	45	44	34

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+0.8 pts behind walls (95% interval -0.1 to +1.7); 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
Aoi52.7%	52	53
Goh49.5%	50	49
Pai49.4%	49	49
Brad48.9%	50	46
Lion48.4%	48	47
Sarah48.0%	49	46
Kage47.8%	48	48
Lei Fei47.7%	48	46
El Blaze47.6%	48	46
Jacky47.4%	47	49
Lau46.7%	46	48
Shun46.1%	47	43
Wolf46.0%	48	43
Vanessa45.9%	46	46
Jeffry45.7%	46	45
Eileen45.7%	43	51
Taka45.3%	47	44
Jean43.9%	44	44
Dural40.3%	41	37

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
Aoi51.4%	52	51	52	51	52	52	52	51	50	51
Goh49.7%	49	50	50	51	50	48	49	48	51	49
Pai49.5%	49	47	51	49	48	50	50	50	49	51
Brad49.4%	47	52	50	49	47	49	49	53	49	48
Lion49.0%	48	47	49	49	52	47	49	49	51	48
El Blaze48.5%	48	51	47	48	50	46	48	50	48	47
Shun48.5%	48	49	49	48	49	45	49	50	50	47
Sarah48.5%	50	48	48	48	47	49	48	50	50	47
Kage48.4%	47	47	49	49	47	49	48	49	49	49
Lei Fei48.3%	48	46	50	50	46	49	48	47	49	48
Jacky48.2%	48	47	48	49	50	48	50	48	47	49
Lau48.1%	47	49	46	50	49	49	50	46	48	49
Wolf47.9%	51	48	48	49	46	46	49	49	49	47
Vanessa47.8%	51	47	50	45	47	49	49	47	48	47
Eileen47.5%	49	44	45	45	50	51	50	45	46	50
Jeffry47.5%	49	47	48	49	47	47	47	47	47	48
Taka47.1%	52	45	52	47	47	46	40	45	46	45
Jean46.7%	47	46	47	47	46	48	46	49	45	47
Dural45.1%	43	45	44	43	42	45	54	50	49	43

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.3 pts behind walls (95% interval -0.2 to +0.8); within chance across the 20 characters tested, q=0.470

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
Aoi51.4%	51	52
Goh49.7%	50	49
Pai49.5%	49	50
Brad49.4%	50	48
Lion49.0%	49	49
El Blaze48.5%	49	48
Shun48.5%	49	47
Sarah48.5%	49	47
Kage48.4%	48	48
Lei Fei48.3%	48	48
Jacky48.2%	48	49
Lau48.1%	48	49
Wolf47.9%	49	46
Vanessa47.8%	48	48
Eileen47.5%	46	50
Jeffry47.5%	48	47
Taka47.1%	48	46
Jean46.7%	47	47
Dural45.1%	45	43

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	15.34%	1	41,792
North America	12.50%	1	23,933
South America	11.61%	1	21,349
Europe	13.63%	1	3,247
Oceania	10.93%	5	755
Middle East	0.00%	6	0
Not recorded	10.59%	1	12,170

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

Win rate48.8%

Standing#17 of 19 · tier C

Pick rate10.9%

Most picked#1 of 19

Matches counted76,844

Unique players453

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Pai	51.33%	2,006	1,902	3,908
Shun	50.28%	2,043	2,020	4,063
Brad	50.16%	2,060	2,047	4,107
Aoi	50.13%	1,870	1,860	3,730
Jacky	49.63%	4,324	4,388	8,712
Wolf	49.50%	2,636	2,689	5,325
Sarah	49.19%	2,133	2,203	4,336
Eileen	49.18%	571	590	1,161
Goh	49.11%	2,452	2,541	4,993
Dural	48.85%	490	513	1,003
Vanessa	48.47%	1,414	1,503	2,917
Lau	48.45%	2,252	2,396	4,648
Lion	48.43%	2,192	2,334	4,526
Jeffry	48.00%	2,482	2,689	5,171
Jean	47.68%	2,472	2,713	5,185
Lei Fei	47.54%	1,713	1,890	3,603
Kage	47.32%	2,381	2,651	5,032
El Blaze	47.17%	1,368	1,532	2,900
Taka	43.04%	656	868	1,524

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
Pai51.3%	53	50	53	52	50	50	59	48	52	51
Shun50.3%	49	50	49	52	50	49	49	48	57	52
Brad50.2%	53	49	53	42	52	50	51	50	53	48
Aoi50.1%	57	50	48	50	51	50	43	53	53	49
Jacky49.6%	49	49	48	48	48	50	52	50	52	51
Wolf49.5%	51	52	52	48	46	51	47	51	46	49
Sarah49.2%	49	51	50	48	46	52	49	46	53	48
Eileen49.2%	49	46	48	52	56	41	55	52	51	49
Goh49.1%	52	50	46	48	47	45	46	52	53	51
Dural48.9%	47	46	45	51	50	56	48	41	52	52
Vanessa48.5%	43	46	49	49	50	49	46	51	46	52
Lau48.5%	49	46	49	49	51	48	40	52	51	43
Lion48.4%	47	52	49	46	51	48	46	51	45	48
Jeffry48.0%	46	50	52	49	45	48	47	46	49	48
Jean47.7%	47	50	50	46	48	47	48	49	48	47
Lei Fei47.5%	51	50	46	45	45	50	43	47	47	49
Kage47.3%	51	47	49	46	45	48	46	46	50	46
El Blaze47.2%	46	45	47	51	47	44	50	45	50	47
Taka43.0%	45	43	44	40	42	38	40	47	45	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+0.7 pts behind walls (95% interval -0.2 to +1.6); within chance across the 20 characters tested, q=0.297

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
Pai51.3%	51	50
Shun50.3%	51	50
Brad50.2%	50	50
Aoi50.1%	52	50
Jacky49.6%	49	50
Wolf49.5%	50	49
Sarah49.2%	50	49
Eileen49.2%	50	49
Goh49.1%	50	47
Dural48.9%	47	53
Vanessa48.5%	47	50
Lau48.5%	49	48
Lion48.4%	48	49
Jeffry48.0%	49	47
Jean47.7%	48	47
Lei Fei47.5%	48	48
Kage47.3%	48	46
El Blaze47.2%	47	46
Taka43.0%	44	42

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
Shun51.0%	50	51	51	52	51	51	49	50	54	52
Pai50.5%	51	50	52	51	49	50	54	49	50	50
Aoi50.2%	53	52	49	50	50	50	46	51	51	49
Brad49.9%	50	49	52	46	51	51	50	50	52	48
Wolf49.6%	50	50	51	49	48	50	49	49	48	50
Jacky49.6%	50	49	49	49	49	50	51	50	51	50
Goh49.4%	50	51	48	49	48	47	48	51	51	51
Eileen49.2%	48	48	48	51	51	42	53	52	53	49
Lau49.2%	49	48	49	49	52	49	45	51	50	47
Sarah49.2%	49	50	50	48	48	51	49	48	51	49
Lion49.1%	49	51	49	47	51	49	47	50	47	49
Vanessa49.1%	47	48	49	49	50	50	46	50	48	50
Dural48.8%	48	47	48	49	51	53	48	44	51	50
Jean48.7%	49	49	50	47	49	48	48	50	49	49
Jeffry48.7%	48	50	50	50	47	49	48	48	50	49
Lei Fei48.5%	50	48	48	47	47	50	47	48	48	51
Kage48.3%	50	48	49	48	47	49	47	48	50	48
El Blaze48.0%	47	47	48	50	49	46	49	47	49	48
Taka46.2%	47	45	47	46	44	44	44	49	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+0.2 pts behind walls (95% interval -0.2 to +0.7); within chance across the 20 characters tested, q=0.610

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
Shun51.0%	51	51
Pai50.5%	51	50
Aoi50.2%	51	50
Brad49.9%	50	50
Wolf49.6%	50	49
Jacky49.6%	50	50
Goh49.4%	50	49
Eileen49.2%	50	48
Lau49.2%	49	49
Sarah49.2%	49	49
Lion49.1%	49	50
Vanessa49.1%	48	50
Dural48.8%	48	51
Jean48.7%	49	49
Jeffry48.7%	49	48
Lei Fei48.5%	48	49
Kage48.3%	49	48
El Blaze48.0%	48	48
Taka46.2%	47	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	9.31%	2	47,347
South America	14.38%	1	19,345
North America	9.45%	2	8,036
Europe	21.12%	1	3,512
Middle East	39.51%	2	401
Oceania	0.00%	8	0
Not recorded	16.75%	1	7,565

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

Win rate52.0%

Standing#5 of 19 · tier A

Pick rate9.6%

Most picked#2 of 19

Matches counted11,704

Unique players70

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	57.86%	184	134	318
Wolf	56.43%	237	183	420
Vanessa	55.54%	426	341	767
Eileen	54.90%	224	184	408
Brad	54.36%	436	366	802
Shun	54.21%	399	337	736
Kage	53.95%	581	496	1,077
Pai	53.11%	290	256	546
Jacky	53.05%	705	624	1,329
Sarah	52.94%	324	288	612
Goh	51.52%	186	175	361
Aoi	51.43%	233	220	453
Taka	50.00%	127	127	254
Lion	49.81%	524	528	1,052
Jean	49.79%	119	120	239
Dural	47.17%	25	28	53
Lau	46.80%	527	599	1,126
Lei Fei	46.47%	296	341	637
El Blaze	46.30%	238	276	514

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
Jeffry57.9%	54	59	51	55	50	81	56	62	63	61
Wolf56.4%	59	56	52	57	50	52	71	59	52	60
Vanessa55.5%	55	54	66	51	40	53	58	67	61	55
Eileen54.9%	62	41	48	58	44	50	69	52	65	64
Brad54.4%	56	47	64	62	45	51	50	55	55	56
Shun54.2%	55	59	57	54	58	42	54	53	53	52
Kage54.0%	67	56	51	52	50	56	58	49	50	53
Pai53.1%	55	49	59	49	42	52	57	61	55	55
Jacky53.0%	61	54	53	53	50	47	53	55	47	51
Sarah52.9%	53	45	54	54	60	54	33	53	61	44
Goh51.5%	55	51	57	48	42	54	71	55	52	55
Aoi51.4%	55	56	49	66	48	54	44	42	47	54
Taka50.0%	50	56	41	35	60	62	61	54	41	57
Lion49.8%	53	50	54	49	49	52	48	52	49	33
Jean49.8%	52	48	41	64	60	53	43	55	29	55
Dural47.2%	33	0	50	38	33	73	50	43	50	60
Lau46.8%	43	52	48	52	50	43	37	44	46	48
Lei Fei46.5%	44	47	41	47	49	49	62	44	42	50
El Blaze46.3%	41	54	57	40	51	43	41	57	47	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+2.1 pts behind walls (95% interval -0.3 to +4.5); 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
Jeffry57.9%	57	61
Wolf56.4%	56	54
Vanessa55.5%	59	49
Eileen54.9%	54	54
Brad54.4%	56	51
Shun54.2%	55	51
Kage54.0%	54	53
Pai53.1%	55	50
Jacky53.0%	54	50
Sarah52.9%	54	54
Goh51.5%	53	50
Aoi51.4%	52	52
Taka50.0%	46	60
Lion49.8%	51	46
Jean49.8%	48	56
Dural47.2%	38	63
Lau46.8%	47	47
Lei Fei46.5%	44	49
El Blaze46.3%	49	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
Shun54.7%	53	57	56	53	59	49	53	54	53	56
Jeffry53.4%	50	52	51	51	50	72	49	57	53	57
Vanessa53.3%	55	51	59	52	44	50	56	57	55	54
Brad53.2%	54	49	57	57	50	51	50	54	55	54
Wolf53.0%	55	51	50	53	51	51	59	54	51	55
Kage52.8%	58	55	50	52	49	54	54	51	52	53
Sarah52.2%	54	47	54	54	54	53	42	52	56	50
Eileen52.1%	56	44	50	53	48	50	60	51	55	57
Pai51.8%	55	48	55	48	45	51	57	57	53	51
Goh51.7%	55	51	54	50	47	54	62	52	49	56
Jacky51.5%	56	51	51	50	52	48	51	54	49	50
Aoi50.5%	54	52	47	58	48	52	50	45	49	52
Jean50.3%	51	49	46	57	57	54	55	52	40	50
Lion50.1%	51	52	52	50	49	53	50	50	50	40
Dural48.6%	46	25	53	41	42	65	44	44	47	52
Taka48.4%	48	55	41	40	53	52	57	50	41	53
Lei Fei48.4%	49	46	46	47	51	50	58	48	45	49
Lau47.9%	46	50	49	49	50	47	42	46	49	49
El Blaze47.3%	46	53	52	43	48	47	46	52	47	42

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.7 pts behind walls (95% interval -0.6 to +1.9); within chance across the 20 characters tested, q=0.660

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Shun54.7%	54	55
Jeffry53.4%	52	57
Vanessa53.3%	55	49
Brad53.2%	54	52
Wolf53.0%	52	52
Kage52.8%	53	52
Sarah52.2%	53	53
Eileen52.1%	52	52
Pai51.8%	53	50
Goh51.7%	52	52
Jacky51.5%	52	50
Aoi50.5%	51	50
Jean50.3%	49	53
Lion50.1%	51	48
Dural48.6%	44	58
Taka48.4%	46	53
Lei Fei48.4%	47	50
Lau47.9%	48	48
El Blaze47.3%	49	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	10.20%	2	12,394
North America	6.18%	5	332
Europe	2.19%	15	61
South America	0.00%	13	0
Not recorded	2.14%	11	89

Akira

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