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Win rate47.9%

Standing#19 of 19 · tier D

Pick rate5.6%

Most picked#6 of 19

Matches counted91,151

Unique players679

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Brad	52.15%	2,027	1,860	3,887
Vanessa	50.39%	1,500	1,477	2,977
Sarah	50.12%	2,836	2,822	5,658
Goh	49.68%	2,460	2,492	4,952
Kage	49.04%	2,366	2,459	4,825
Jean	48.70%	1,961	2,066	4,027
Jacky	48.17%	4,259	4,583	8,842
Akira	48.14%	5,768	6,213	11,981
Lau	48.04%	2,215	2,396	4,611
Eileen	47.50%	902	997	1,899
Shun	47.43%	2,478	2,746	5,224
Lei Fei	47.21%	1,540	1,722	3,262
Lion	47.02%	2,262	2,549	4,811
Wolf	46.78%	3,273	3,724	6,997
Pai	46.62%	2,764	3,165	5,929
Jeffry	46.06%	2,517	2,948	5,465
El Blaze	45.24%	1,579	1,911	3,490
Dural	43.08%	280	370	650
Taka	42.97%	715	949	1,664

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
Brad52.1%	54	51	51	49	53	53	53	49	53	56
Vanessa50.4%	48	51	47	51	49	53	52	49	50	51
Sarah50.1%	52	46	51	45	52	53	51	49	53	48
Goh49.7%	46	48	49	51	49	49	53	50	53	48
Kage49.0%	46	48	51	47	48	50	48	51	48	51
Jean48.7%	51	47	47	47	44	49	50	49	53	52
Jacky48.2%	50	47	47	48	48	47	56	47	49	48
Akira48.1%	45	48	49	48	47	47	50	48	49	48
Lau48.0%	45	40	47	53	49	52	47	49	46	53
Eileen47.5%	51	42	44	45	46	45	56	52	49	46
Shun47.4%	45	49	51	47	49	45	47	44	50	46
Lei Fei47.2%	43	49	48	47	45	50	44	49	49	48
Lion47.0%	47	46	44	45	50	46	49	48	49	47
Wolf46.8%	48	48	46	45	46	48	46	47	48	46
Pai46.6%	47	46	44	48	47	46	51	44	49	45
Jeffry46.1%	46	47	47	45	43	50	41	49	43	50
El Blaze45.2%	44	46	51	45	46	46	46	42	44	43
Dural43.1%	45	45	49	35	35	42	25	41	46	50
Taka43.0%	35	45	42	43	44	48	54	42	43	39

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-0.4 pts behind walls (95% interval -1.4 to +0.6); within chance across the 20 characters tested, q=0.825

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
Brad52.1%	51	54
Vanessa50.4%	49	51
Sarah50.1%	49	51
Goh49.7%	50	49
Kage49.0%	49	50
Jean48.7%	49	49
Jacky48.2%	48	47
Akira48.1%	48	48
Lau48.0%	46	51
Eileen47.5%	47	45
Shun47.4%	48	47
Lei Fei47.2%	48	47
Lion47.0%	46	48
Wolf46.8%	47	47
Pai46.6%	46	46
Jeffry46.1%	46	47
El Blaze45.2%	46	45
Dural43.1%	43	42
Taka43.0%	42	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
Brad51.0%	52	51	50	49	52	51	52	49	51	53
Vanessa50.2%	49	50	48	51	50	51	51	49	50	51
Sarah50.0%	51	48	51	47	51	52	51	49	52	49
Goh49.8%	48	50	49	50	49	50	53	50	50	50
Kage49.6%	49	49	50	49	49	49	50	50	49	51
Shun49.2%	48	49	51	49	50	48	50	48	51	49
Jean49.2%	51	48	47	49	47	49	49	49	51	51
Akira49.1%	48	49	49	49	49	48	50	49	50	50
Jacky49.0%	50	48	48	49	50	48	52	49	49	49
Lau49.0%	47	47	47	51	49	51	49	50	48	51
Lei Fei48.4%	46	49	49	48	47	50	48	49	49	49
Lion48.4%	48	48	47	49	50	48	49	49	49	49
Eileen48.3%	50	44	46	46	47	47	54	50	50	48
Wolf48.3%	49	49	48	47	48	49	48	48	49	48
Pai47.9%	47	47	47	49	48	48	50	47	49	46
Jeffry47.6%	48	48	48	47	46	49	45	48	46	50
El Blaze47.5%	47	48	51	47	47	48	47	46	47	48
Taka46.4%	43	49	45	47	47	49	53	45	47	44
Dural46.1%	48	45	50	42	43	46	36	43	49	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-0.3 pts behind walls (95% interval -0.8 to +0.2); within chance across the 20 characters tested, q=0.502

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
Brad51.0%	50	52
Vanessa50.2%	50	51
Sarah50.0%	50	51
Goh49.8%	50	49
Kage49.6%	49	50
Shun49.2%	49	49
Jean49.2%	49	49
Akira49.1%	49	49
Jacky49.0%	49	49
Lau49.0%	48	50
Lei Fei48.4%	48	48
Lion48.4%	48	49
Eileen48.3%	48	48
Wolf48.3%	48	48
Pai47.9%	48	48
Jeffry47.6%	48	48
El Blaze47.5%	48	48
Taka46.4%	46	47
Dural46.1%	46	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	5.56%	7	50,213
North America	7.61%	4	21,436
South America	4.31%	12	13,756
Europe	4.68%	11	2,022
Oceania	0.73%	15	53
Middle East	0.00%	12	0
Not recorded	5.77%	6	9,473

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

Win rate46.6%

Standing#19 of 19 · tier D

Pick rate7.3%

Most picked#4 of 19

Matches counted54,002

Unique players545

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Brad	49.80%	893	900	1,793
Vanessa	49.49%	781	797	1,578
Goh	49.45%	1,477	1,510	2,987
Sarah	48.71%	1,788	1,883	3,671
Kage	47.81%	1,167	1,274	2,441
Lion	47.72%	1,288	1,411	2,699
Eileen	47.70%	590	647	1,237
Lau	47.58%	993	1,094	2,087
Akira	47.29%	3,688	4,110	7,798
Jean	46.82%	986	1,120	2,106
Shun	46.72%	1,532	1,747	3,279
Pai	45.82%	1,842	2,178	4,020
Jeffry	45.43%	1,480	1,778	3,258
Jacky	45.25%	2,332	2,822	5,154
Wolf	44.65%	2,097	2,600	4,697
Lei Fei	43.66%	699	902	1,601
Taka	43.64%	463	598	1,061
El Blaze	42.95%	929	1,234	2,163
Dural	38.71%	144	228	372

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
Brad49.8%	52	45	50	45	52	46	49	48	55	54
Vanessa49.5%	48	54	44	51	49	52	55	47	49	46
Goh49.5%	45	48	49	54	45	50	54	50	50	47
Sarah48.7%	52	43	52	43	52	51	53	47	50	49
Kage47.8%	44	49	52	44	45	48	44	53	45	53
Lion47.7%	47	50	42	45	53	53	46	49	47	45
Eileen47.7%	53	46	41	47	47	47	55	50	49	41
Lau47.6%	43	45	46	51	44	52	53	45	47	54
Akira47.3%	46	47	47	48	46	46	46	48	50	47
Jean46.8%	48	40	46	46	44	51	47	46	50	52
Shun46.7%	37	47	50	48	50	45	47	47	50	45
Pai45.8%	48	44	44	47	45	48	48	44	48	42
Jeffry45.4%	44	46	47	42	44	50	41	47	47	47
Jacky45.2%	49	43	45	45	47	44	55	42	43	45
Wolf44.6%	47	47	43	42	46	45	42	44	46	44
Lei Fei43.7%	40	44	45	41	44	47	40	44	48	44
Taka43.6%	39	42	39	43	45	49	58	45	45	39
El Blaze43.0%	46	40	44	39	46	44	47	37	43	45
Dural38.7%	41	41	24	39	24	36	27	46	42	39

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 -1.9 to +0.5); within chance across the 20 characters tested, q=0.534

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
Brad49.8%	49	51
Vanessa49.5%	49	49
Goh49.5%	49	47
Sarah48.7%	48	51
Kage47.8%	48	49
Lion47.7%	46	50
Eileen47.7%	48	45
Lau47.6%	46	50
Akira47.3%	48	47
Jean46.8%	46	49
Shun46.7%	47	47
Pai45.8%	46	45
Jeffry45.4%	45	47
Jacky45.2%	44	45
Wolf44.6%	45	45
Lei Fei43.7%	44	45
Taka43.6%	42	45
El Blaze43.0%	42	45
Dural38.7%	40	32

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
Brad49.9%	52	48	50	47	51	49	50	48	52	52
Goh49.8%	47	49	48	51	47	50	54	51	50	49
Vanessa49.4%	49	52	47	51	50	50	51	48	49	48
Sarah49.3%	51	47	51	46	51	50	51	48	50	49
Kage48.8%	48	49	51	47	47	48	49	51	47	52
Lion48.8%	48	51	45	49	50	51	48	49	48	49
Shun48.8%	43	47	51	49	50	48	50	49	51	49
Lau48.8%	46	49	47	52	47	51	51	48	48	51
Akira48.6%	48	49	48	49	48	48	48	49	50	49
Eileen48.4%	52	46	45	46	48	48	55	50	50	46
Jean47.9%	50	45	46	48	46	50	47	48	49	50
Jeffry47.3%	47	48	48	45	47	49	44	48	48	48
Pai47.3%	48	46	47	48	48	49	48	46	49	45
Wolf47.3%	49	49	46	45	48	47	46	47	48	46
Jacky47.2%	50	46	47	46	49	47	52	46	46	47
Taka46.6%	45	47	42	47	47	48	56	46	48	44
El Blaze46.3%	48	45	48	44	47	47	48	43	45	49
Lei Fei46.3%	44	46	46	44	47	49	46	45	49	46
Dural43.5%	46	43	36	44	38	40	38	46	46	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-0.4 pts behind walls (95% interval -1.0 to +0.2); 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
Brad49.9%	49	51
Goh49.8%	50	49
Vanessa49.4%	49	49
Sarah49.3%	49	50
Kage48.8%	49	49
Lion48.8%	48	50
Shun48.8%	48	49
Lau48.8%	48	50
Akira48.6%	49	48
Eileen48.4%	48	47
Jean47.9%	48	49
Jeffry47.3%	47	48
Pai47.3%	47	47
Wolf47.3%	47	47
Jacky47.2%	47	48
Taka46.6%	46	47
El Blaze46.3%	46	48
Lei Fei46.3%	46	47
Dural43.5%	44	40

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	9.21%	2	25,084
North America	9.18%	3	17,562
South America	4.19%	12	7,710
Europe	5.66%	9	1,349
Oceania	0.77%	15	53
Middle East	0.00%	7	0
Not recorded	5.73%	7	6,592

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

Win rate50.0%

Standing#10 of 19 · tier B

Pick rate4.4%

Most picked#14 of 19

Matches counted33,135

Unique players201

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Brad	55.72%	1,003	797	1,800
Jacky	52.38%	1,749	1,590	3,339
Sarah	52.37%	939	854	1,793
Lei Fei	51.55%	750	705	1,455
Wolf	51.08%	1,133	1,085	2,218
Jean	50.49%	936	918	1,854
Lau	50.47%	1,013	994	2,007
Vanessa	50.44%	635	624	1,259
Kage	50.05%	1,054	1,052	2,106
Goh	49.92%	936	939	1,875
Akira	49.87%	1,860	1,870	3,730
Shun	48.92%	817	853	1,670
Pai	48.80%	790	829	1,619
El Blaze	48.15%	561	604	1,165
Jeffry	46.51%	967	1,112	2,079
Eileen	46.46%	249	287	536
Dural	46.12%	119	139	258
Lion	46.12%	850	993	1,843
Taka	40.83%	216	313	529

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
Brad55.7%	59	58	53	54	56	62	57	53	51	59
Jacky52.4%	52	53	48	52	50	50	56	53	57	53
Sarah52.4%	52	52	50	48	55	56	49	52	58	46
Lei Fei51.5%	50	50	52	53	48	55	44	58	50	53
Wolf51.1%	51	51	51	50	45	53	58	53	54	52
Jean50.5%	54	55	46	48	44	46	53	52	57	51
Lau50.5%	50	37	48	56	57	55	47	54	47	53
Vanessa50.4%	46	47	50	51	47	54	47	49	51	55
Kage50.0%	48	48	48	50	52	51	52	50	50	50
Goh49.9%	49	49	50	44	53	48	51	49	55	50
Akira49.9%	43	50	52	50	49	50	57	47	47	51
Shun48.9%	57	53	53	48	48	45	46	39	52	47
Pai48.8%	47	49	46	53	49	43	54	43	51	51
El Blaze48.1%	42	56	56	55	45	48	47	50	45	41
Jeffry46.5%	48	47	48	48	41	47	42	50	38	54
Eileen46.5%	47	37	46	41	41	38	55	55	47	57
Dural46.1%	55	46	54	26	54	44	17	32	54	64
Lion46.1%	47	40	45	47	46	34	55	47	52	50
Taka40.8%	31	47	51	42	43	45	45	37	41	33

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-0.1 pts behind walls (95% interval -1.5 to +1.2); within chance across the 20 characters tested, q=0.892

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
Brad55.7%	54	59
Jacky52.4%	53	51
Sarah52.4%	52	52
Lei Fei51.5%	52	51
Wolf51.1%	52	50
Jean50.5%	52	47
Lau50.5%	48	55
Vanessa50.4%	49	53
Kage50.0%	49	51
Goh49.9%	49	51
Akira49.9%	48	50
Shun48.9%	50	47
Pai48.8%	49	47
El Blaze48.1%	51	44
Jeffry46.5%	46	48
Eileen46.5%	46	46
Dural46.1%	44	53
Lion46.1%	46	43
Taka40.8%	41	40

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
Brad52.8%	54	54	52	51	53	55	54	51	50	54
Jacky51.6%	51	51	50	51	51	50	53	53	54	52
Sarah51.2%	51	50	50	49	52	54	50	51	55	48
Lei Fei50.7%	50	50	52	52	49	52	48	55	49	51
Vanessa50.5%	48	48	50	49	50	53	50	50	52	54
Jean50.4%	53	52	48	50	48	48	51	50	53	51
Wolf50.4%	50	50	51	50	47	51	53	51	51	51
Kage50.3%	49	49	49	50	51	51	52	50	51	49
Lau50.2%	49	45	48	53	54	52	50	52	49	51
Shun50.0%	54	53	52	48	49	48	50	46	51	49
Akira49.8%	47	48	51	50	50	50	54	49	49	51
Goh49.8%	50	49	50	46	51	49	50	49	51	50
Pai49.3%	47	49	49	53	50	46	52	48	49	50
El Blaze48.7%	46	52	54	51	46	50	46	49	48	47
Dural48.2%	52	46	54	37	52	50	26	38	52	58
Eileen47.8%	48	43	47	45	45	46	51	51	51	52
Lion47.8%	48	44	48	48	48	42	52	48	49	49
Jeffry47.6%	49	48	48	49	45	47	46	48	44	51
Taka45.5%	41	50	52	46	46	48	45	42	45	41

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.2 pts behind walls (95% interval -0.9 to +0.4); within chance across the 20 characters tested, q=0.726

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
Brad52.8%	52	54
Jacky51.6%	52	51
Sarah51.2%	51	51
Lei Fei50.7%	51	50
Vanessa50.5%	49	52
Jean50.4%	51	49
Wolf50.4%	51	50
Kage50.3%	50	51
Lau50.2%	49	52
Shun50.0%	51	49
Akira49.8%	49	50
Goh49.8%	50	50
Pai49.3%	49	48
El Blaze48.7%	50	47
Dural48.2%	46	53
Eileen47.8%	47	48
Lion47.8%	48	47
Jeffry47.6%	48	48
Taka45.5%	46	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	4.18%	15	21,284
South America	4.49%	12	6,038
North America	4.51%	11	3,837
Europe	3.24%	12	538
Middle East	0.00%	10	0
Oceania	0.00%	9	0
Not recorded	6.28%	3	2,836

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

Win rate48.7%

Standing#11 of 19 · tier B

Pick rate3.0%

Most picked#16 of 19

Matches counted4,014

Unique players24

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Dural	85.00%	17	3	20
Vanessa	60.00%	84	56	140
Jean	58.21%	39	28	67
Sarah	56.19%	109	85	194
El Blaze	54.94%	89	73	162
Jeffry	54.69%	70	58	128
Wolf	52.44%	43	39	82
Goh	52.22%	47	43	90
Kage	52.16%	145	133	278
Jacky	51.00%	178	171	349
Eileen	50.00%	63	63	126
Taka	48.65%	36	38	74
Akira	48.57%	220	233	453
Shun	46.91%	129	146	275
Lion	46.10%	124	145	269
Pai	45.52%	132	158	290
Brad	44.56%	131	163	294
Lei Fei	44.17%	91	115	206
Lau	40.43%	209	308	517

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
Dural85.0%	33	100	100	100	·	100	·	·	·	67
Vanessa60.0%	75	62	45	61	58	64	67	68	46	53
Jean58.2%	38	33	71	33	50	67	·	·	75	100
Sarah56.2%	54	43	54	62	43	71	50	62	89	48
El Blaze54.9%	42	65	76	61	50	61	33	25	75	50
Jeffry54.7%	53	64	33	60	36	69	50	67	45	50
Wolf52.4%	46	53	25	75	78	40	100	62	100	29
Goh52.2%	50	55	44	75	25	40	67	54	57	25
Kage52.2%	50	53	59	59	45	50	55	44	48	54
Jacky51.0%	56	56	58	54	43	55	50	52	52	14
Eileen50.0%	44	29	55	40	62	25	67	50	50	44
Taka48.6%	0	70	33	80	33	57	100	33	33	55
Akira48.6%	45	44	51	34	52	46	56	58	53	46
Shun46.9%	46	52	61	42	39	41	36	36	40	61
Lion46.1%	42	45	58	46	55	48	29	53	43	39
Pai45.5%	39	46	41	42	52	52	67	50	38	53
Brad44.6%	42	55	43	43	47	41	55	33	50	44
Lei Fei44.2%	27	64	45	62	33	33	60	41	50	38
Lau40.4%	31	36	44	45	36	42	24	39	42	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+1.5 pts behind walls (95% interval -2.5 to +5.5); within chance across the 20 characters tested, q=0.650

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
Dural85.0%	87	80
Vanessa60.0%	60	58
Jean58.2%	50	68
Sarah56.2%	57	55
El Blaze54.9%	58	55
Jeffry54.7%	55	51
Wolf52.4%	53	48
Goh52.2%	56	29
Kage52.2%	52	49
Jacky51.0%	55	41
Eileen50.0%	47	44
Taka48.6%	46	50
Akira48.6%	48	48
Shun46.9%	47	49
Lion46.1%	47	46
Pai45.5%	42	52
Brad44.6%	44	44
Lei Fei44.2%	46	34
Lau40.4%	40	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
Dural65.8%	43	86	73	67	·	67	·	·	·	62
Jean56.3%	48	50	61	46	50	62	·	·	64	79
Vanessa55.7%	67	53	49	58	56	61	60	60	51	49
El Blaze54.5%	45	57	63	58	54	58	46	44	77	52
Sarah53.2%	59	47	49	47	46	61	53	56	63	51
Jeffry52.9%	53	58	43	59	43	55	50	56	49	50
Jacky50.7%	54	55	52	51	47	53	48	50	53	36
Goh50.7%	51	55	47	59	33	42	62	49	50	40
Kage50.6%	49	48	52	56	48	48	52	48	49	53
Wolf50.3%	50	47	41	62	62	41	60	58	75	45
Eileen49.8%	47	35	49	44	56	37	61	51	53	49
Shun49.5%	52	50	55	50	42	47	44	41	48	59
Akira49.5%	46	48	53	42	52	48	50	55	51	48
Taka49.5%	29	59	44	63	39	58	100	35	41	53
Lion48.2%	47	47	52	50	56	48	42	48	47	44
Lei Fei48.1%	43	58	49	53	43	38	59	46	49	50
Pai47.0%	42	49	46	47	48	51	68	50	44	48
Brad46.6%	46	55	43	42	48	46	49	42	50	46
Lau45.2%	44	43	47	47	44	46	37	44	46	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 -1.5 to +2.7); within chance across the 20 characters tested, q=0.771

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
Dural65.8%	67	64
Jean56.3%	53	61
Vanessa55.7%	56	55
El Blaze54.5%	55	55
Sarah53.2%	53	53
Jeffry52.9%	54	49
Jacky50.7%	52	47
Goh50.7%	52	39
Kage50.6%	51	49
Wolf50.3%	51	48
Eileen49.8%	48	47
Shun49.5%	50	50
Akira49.5%	49	50
Taka49.5%	47	51
Lion48.2%	48	49
Lei Fei48.1%	49	42
Pai47.0%	46	49
Brad46.6%	46	47
Lau45.2%	45	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	3.16%	15	3,845
North America	0.69%	18	37
Europe	4.85%	8	135
South America	1.12%	9	8
Not recorded	1.08%	15	45

Aoi

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