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

Win rate49.6%

Standing#15 of 19 · tier C

Pick rate5.3%

Most picked#9 of 19

Matches counted86,860

Unique players654

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	52.57%	2,746	2,478	5,224
Akira	51.69%	5,396	5,044	10,440
Vanessa	51.55%	1,598	1,502	3,100
Pai	50.61%	2,644	2,580	5,224
Jean	50.09%	1,911	1,904	3,815
Jeffry	50.01%	2,560	2,559	5,119
El Blaze	49.75%	1,687	1,704	3,391
Wolf	49.50%	3,106	3,169	6,275
Eileen	49.45%	816	834	1,650
Goh	49.35%	2,314	2,375	4,689
Jacky	49.12%	4,277	4,430	8,707
Sarah	48.85%	2,522	2,641	5,163
Lau	48.64%	2,429	2,565	4,994
Brad	48.63%	1,743	1,841	3,584
Kage	48.33%	2,334	2,495	4,829
Lei Fei	47.87%	1,616	1,760	3,376
Lion	46.71%	2,183	2,491	4,674
Taka	46.06%	830	972	1,802
Dural	43.28%	348	456	804

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
Aoi52.6%	55	51	49	53	51	55	53	56	50	54
Akira51.7%	53	51	51	51	51	56	51	52	48	53
Vanessa51.5%	49	47	54	57	51	48	60	51	51	49
Pai50.6%	48	53	50	53	48	52	51	51	52	47
Jean50.1%	48	51	50	52	47	54	49	48	50	50
Jeffry50.0%	51	51	45	50	53	51	51	48	49	51
El Blaze49.8%	49	48	53	54	45	48	49	51	51	50
Wolf49.5%	50	52	46	52	50	49	49	52	46	50
Eileen49.5%	44	44	55	51	54	50	52	55	52	39
Goh49.4%	50	51	49	47	49	50	52	51	48	46
Jacky49.1%	48	48	51	50	51	51	49	47	47	50
Sarah48.9%	51	51	44	49	49	48	52	44	51	50
Lau48.6%	46	48	53	48	49	47	46	49	49	49
Brad48.6%	47	49	49	50	50	50	47	44	47	51
Kage48.3%	48	46	49	48	47	46	45	52	49	51
Lei Fei47.9%	54	49	47	45	49	46	46	49	45	50
Lion46.7%	52	45	44	48	43	43	48	51	45	46
Taka46.1%	50	47	52	48	45	46	43	43	44	47
Dural43.3%	43	46	40	44	33	43	43	53	46	43

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-0.2 pts behind walls (95% interval -1.2 to +0.8); within chance across the 20 characters tested, q=0.913

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

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Aoi52.6%	52	53
Akira51.7%	51	53
Vanessa51.5%	52	49
Pai50.6%	51	49
Jean50.1%	50	50
Jeffry50.0%	49	52
El Blaze49.8%	51	48
Wolf49.5%	50	50
Eileen49.5%	50	47
Goh49.4%	49	49
Jacky49.1%	48	51
Sarah48.9%	48	49
Lau48.6%	49	48
Brad48.6%	48	50
Kage48.3%	49	48
Lei Fei47.9%	48	48
Lion46.7%	48	44
Taka46.1%	47	46
Dural43.3%	45	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
Aoi50.8%	52	51	49	51	50	52	50	52	49	51
Akira50.1%	51	50	50	50	49	52	51	50	48	50
Vanessa50.0%	48	48	50	53	51	49	54	50	50	49
Pai49.6%	49	51	49	51	48	50	49	50	50	48
Jean49.4%	48	50	50	50	47	51	50	49	49	49
Jeffry49.2%	49	50	46	49	51	50	49	48	49	50
Wolf49.1%	49	51	47	51	50	49	49	50	48	50
El Blaze49.1%	49	48	50	52	47	49	48	50	49	49
Goh48.9%	49	51	49	48	49	49	50	50	48	47
Eileen48.8%	47	46	52	50	50	50	48	52	49	43
Jacky48.7%	48	48	49	50	49	50	49	47	48	50
Sarah48.6%	49	50	45	49	49	49	51	46	48	49
Lau48.3%	47	48	50	48	48	48	46	49	48	49
Brad48.3%	47	49	48	50	49	49	47	46	47	49
Kage48.0%	48	48	48	48	48	47	46	50	48	49
Lei Fei47.8%	49	49	47	46	48	47	47	49	46	49
Lion47.2%	50	47	47	49	45	44	48	50	46	47
Taka47.1%	49	48	50	49	46	47	47	46	46	47
Dural45.6%	46	49	46	47	38	44	47	50	47	44

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-0.0 pts behind walls (95% interval -0.5 to +0.5); within chance across the 20 characters tested, q=0.985

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
Aoi50.8%	51	51
Akira50.1%	50	51
Vanessa50.0%	50	49
Pai49.6%	50	49
Jean49.4%	49	49
Jeffry49.2%	49	50
Wolf49.1%	49	49
El Blaze49.1%	50	48
Goh48.9%	49	49
Eileen48.8%	49	47
Jacky48.7%	48	49
Sarah48.6%	48	49
Lau48.3%	48	48
Brad48.3%	48	49
Kage48.0%	48	48
Lei Fei47.8%	48	48
Lion47.2%	48	46
Taka47.1%	48	47
Dural45.6%	47	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	4.94%	12	44,593
North America	5.37%	8	15,128
South America	6.00%	6	19,154
Europe	7.16%	3	3,095
Oceania	0.03%	19	2
Middle East	5.68%	3	119
Not recorded	5.72%	7	9,395

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

Win rate50.0%

Standing#13 of 19 · tier C

Pick rate5.7%

Most picked#7 of 19

Matches counted42,668

Unique players499

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Akira	53.87%	3,039	2,602	5,641
Aoi	53.28%	1,747	1,532	3,279
Eileen	53.27%	481	422	903
Vanessa	51.92%	715	662	1,377
Pai	51.27%	1,594	1,515	3,109
Jean	50.00%	893	893	1,786
El Blaze	49.81%	800	806	1,606
Brad	49.79%	702	708	1,410
Goh	49.53%	1,167	1,189	2,356
Jacky	49.53%	2,002	2,040	4,042
Jeffry	49.52%	1,181	1,204	2,385
Kage	49.08%	902	936	1,838
Lau	48.70%	846	891	1,737
Wolf	48.66%	1,801	1,900	3,701
Sarah	47.49%	1,392	1,539	2,931
Taka	46.60%	411	471	882
Lion	45.87%	911	1,075	1,986
Lei Fei	44.58%	642	798	1,440
Dural	39.00%	101	158	259

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
Akira53.9%	55	53	53	53	53	59	51	53	52	57
Aoi53.3%	63	53	50	52	50	55	53	53	50	55
Eileen53.3%	45	50	62	56	58	52	54	56	58	45
Vanessa51.9%	50	46	53	58	47	52	63	53	48	54
Pai51.3%	49	56	50	56	46	50	52	52	52	48
Jean50.0%	46	50	47	56	44	52	47	52	51	51
El Blaze49.8%	47	49	52	59	45	52	48	48	48	50
Brad49.8%	46	47	47	52	53	54	49	49	47	51
Goh49.5%	50	57	48	43	49	50	51	52	51	44
Jacky49.5%	48	52	53	52	50	53	45	44	48	50
Jeffry49.5%	51	53	47	49	50	50	47	48	46	53
Kage49.1%	50	47	51	45	51	43	48	50	51	55
Lau48.7%	51	48	53	50	45	48	48	47	50	49
Wolf48.7%	52	50	46	50	49	48	50	53	44	47
Sarah47.5%	50	51	45	46	44	51	52	41	49	49
Taka46.6%	46	55	52	46	41	45	46	46	44	47
Lion45.9%	49	42	42	45	44	44	45	56	44	48
Lei Fei44.6%	45	51	46	38	52	33	44	45	45	45
Dural39.0%	44	44	48	33	30	33	47	18	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 -1.2 to +1.5); 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
Akira53.9%	53	57
Aoi53.3%	53	53
Eileen53.3%	54	52
Vanessa51.9%	51	51
Pai51.3%	53	48
Jean50.0%	51	49
El Blaze49.8%	51	49
Brad49.8%	48	53
Goh49.5%	50	48
Jacky49.5%	49	51
Jeffry49.5%	49	51
Kage49.1%	49	50
Lau48.7%	50	47
Wolf48.7%	49	48
Sarah47.5%	47	48
Taka46.6%	48	45
Lion45.9%	46	45
Lei Fei44.6%	45	43
Dural39.0%	41	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
Akira51.5%	52	51	51	52	51	55	51	50	50	53
Aoi51.2%	57	53	49	51	50	52	50	51	49	51
Eileen50.8%	48	49	55	53	52	50	49	52	53	46
Vanessa50.3%	49	47	48	54	48	49	56	51	50	52
Pai50.2%	49	54	49	54	47	50	49	51	50	49
El Blaze49.3%	48	49	49	54	48	51	47	49	48	49
Jean49.2%	47	50	48	52	45	49	50	51	49	51
Jacky49.0%	48	49	51	51	49	51	47	46	49	49
Goh49.0%	49	55	48	45	49	50	49	50	49	46
Jeffry48.9%	50	51	47	49	49	49	48	49	47	50
Brad48.6%	46	49	48	50	50	49	49	50	47	50
Wolf48.6%	50	50	47	49	49	48	49	51	47	48
Kage48.3%	49	49	49	47	49	45	47	48	49	51
Lau48.2%	50	48	51	49	46	48	47	47	48	49
Taka48.0%	47	54	50	49	45	46	49	47	48	49
Sarah47.9%	49	51	46	46	47	50	50	44	48	49
Lion47.0%	49	46	46	46	45	45	46	52	45	49
Lei Fei46.2%	44	51	46	41	50	41	47	48	47	47
Dural42.9%	47	46	49	40	35	37	48	31	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 -0.5 to +0.9); 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
Akira51.5%	51	53
Aoi51.2%	52	51
Eileen50.8%	51	50
Vanessa50.3%	50	50
Pai50.2%	51	49
El Blaze49.3%	50	49
Jean49.2%	50	48
Jacky49.0%	49	50
Goh49.0%	49	48
Jeffry48.9%	49	49
Brad48.6%	48	49
Wolf48.6%	49	48
Kage48.3%	48	48
Lau48.2%	49	48
Taka48.0%	49	47
Sarah47.9%	47	49
Lion47.0%	47	47
Lei Fei46.2%	46	45
Dural42.9%	44	38

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	4.70%	10	12,792
North America	5.74%	7	10,994
South America	6.19%	6	11,388
Europe	6.37%	8	1,517
Oceania	0.00%	19	0
Middle East	11.03%	2	119
Not recorded	7.17%	4	8,246

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

Win rate49.4%

Standing#15 of 19 · tier C

Pick rate4.9%

Most picked#12 of 19

Matches counted37,194

Unique players249

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Vanessa	51.19%	669	638	1,307
Aoi	51.08%	853	817	1,670
Lei Fei	51.06%	817	783	1,600
Sarah	50.37%	959	945	1,904
Goh	50.18%	994	987	1,981
Jeffry	50.06%	1,270	1,267	2,537
Wolf	49.98%	1,161	1,162	2,323
Jean	49.92%	949	952	1,901
Lau	49.78%	1,257	1,268	2,525
Akira	49.72%	2,020	2,043	4,063
El Blaze	49.63%	678	688	1,366
Jacky	49.61%	1,980	2,011	3,991
Pai	49.39%	926	949	1,875
Brad	48.70%	897	945	1,842
Kage	48.42%	1,195	1,273	2,468
Taka	45.86%	327	386	713
Lion	45.83%	955	1,129	2,084
Dural	45.47%	241	289	530
Eileen	43.39%	223	291	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
Vanessa51.2%	51	46	56	59	54	45	56	50	58	39
Aoi51.1%	43	47	47	52	52	55	54	61	48	53
Lei Fei51.1%	63	49	47	51	45	57	51	53	47	51
Sarah50.4%	52	50	45	53	53	49	48	45	52	53
Goh50.2%	52	47	53	50	53	49	53	49	46	51
Jeffry50.1%	50	48	45	48	55	51	55	48	52	49
Wolf50.0%	47	54	45	56	50	51	45	51	47	54
Jean49.9%	49	53	53	48	48	57	49	45	49	49
Lau49.8%	44	50	53	48	51	52	50	52	49	49
Akira49.7%	51	50	51	48	50	51	51	52	43	48
El Blaze49.6%	49	49	56	49	47	43	49	54	52	48
Jacky49.6%	49	46	48	48	52	52	55	48	46	53
Pai49.4%	45	45	50	46	51	55	51	49	52	45
Brad48.7%	50	50	51	50	48	48	47	42	49	53
Kage48.4%	44	46	51	49	47	49	43	53	48	48
Taka45.9%	51	37	54	51	49	50	49	46	41	45
Lion45.8%	56	46	42	49	38	43	50	47	44	45
Dural45.5%	43	44	35	49	35	46	39	71	48	51
Eileen43.4%	46	37	50	43	41	45	47	55	44	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-0.6 pts behind walls (95% interval -1.9 to +0.7); within chance across the 20 characters tested, q=0.552

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
Vanessa51.2%	53	46
Aoi51.1%	50	53
Lei Fei51.1%	51	52
Sarah50.4%	50	52
Goh50.2%	50	51
Jeffry50.1%	49	52
Wolf50.0%	50	52
Jean49.9%	49	51
Lau49.8%	49	50
Akira49.7%	49	50
El Blaze49.6%	51	46
Jacky49.6%	48	52
Pai49.4%	48	50
Brad48.7%	49	49
Kage48.4%	48	48
Taka45.9%	46	47
Lion45.8%	47	42
Dural45.5%	47	45
Eileen43.4%	46	38

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
Aoi50.0%	46	47	48	52	51	52	50	54	49	51
Vanessa49.8%	49	47	51	54	52	48	52	49	53	43
Wolf49.7%	48	52	47	53	50	50	47	49	48	52
Goh49.4%	50	48	51	50	51	49	51	49	48	49
Jean49.4%	49	51	51	49	49	53	49	48	48	47
Sarah49.3%	50	49	45	53	50	50	50	47	49	50
Lei Fei49.1%	54	49	47	49	46	53	48	49	48	49
Jeffry49.1%	49	49	46	49	51	49	51	48	51	49
Lau49.0%	47	49	51	48	49	50	48	50	48	49
Akira49.0%	50	49	49	48	49	49	51	50	46	48
Jacky48.9%	49	47	47	48	50	50	53	48	47	52
Pai48.7%	47	46	48	47	49	51	49	49	50	48
El Blaze48.6%	48	48	51	49	47	46	48	51	50	48
Brad48.4%	49	49	49	50	48	48	46	45	48	50
Kage48.2%	46	48	49	49	48	48	45	51	47	48
Dural47.0%	46	49	45	50	40	46	45	59	48	47
Lion46.7%	52	46	45	49	42	45	49	48	45	46
Taka46.3%	47	41	50	50	46	50	49	47	42	46
Eileen45.6%	48	43	49	46	41	46	46	52	44	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-0.3 pts behind walls (95% interval -1.0 to +0.3); 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
Aoi50.0%	49	51
Vanessa49.8%	50	48
Wolf49.7%	50	51
Goh49.4%	49	50
Jean49.4%	49	50
Sarah49.3%	49	50
Lei Fei49.1%	49	50
Jeffry49.1%	49	50
Lau49.0%	49	49
Akira49.0%	49	49
Jacky48.9%	48	50
Pai48.7%	48	49
El Blaze48.6%	49	47
Brad48.4%	48	49
Kage48.2%	48	48
Dural47.0%	48	45
Lion46.7%	48	45
Taka46.3%	46	47
Eileen45.6%	47	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	4.98%	11	25,305
South America	5.66%	7	7,618
North America	4.50%	12	3,830
Europe	7.32%	5	1,217
Middle East	0.00%	17	0
Oceania	0.59%	7	2
Not recorded	2.50%	17	1,128

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

Win rate48.0%

Standing#13 of 19 · tier C

Pick rate5.5%

Most picked#8 of 19

Matches counted6,998

Unique players34

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	57.37%	144	107	251
Jeffry	55.33%	109	88	197
Jean	53.91%	69	59	128
Aoi	53.09%	146	129	275
Lion	52.48%	317	287	604
Sarah	52.13%	171	157	328
Pai	51.67%	124	116	240
Vanessa	51.44%	214	202	416
El Blaze	49.88%	209	210	419
Eileen	48.07%	112	121	233
Lei Fei	46.73%	157	179	336
Akira	45.79%	337	399	736
Kage	45.32%	237	286	523
Lau	44.54%	326	406	732
Taka	44.44%	92	115	207
Jacky	43.77%	295	379	674
Goh	43.47%	153	199	352
Brad	43.37%	144	188	332
Dural	40.00%	6	9	15

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
Wolf57.4%	50	87	52	56	59	55	62	48	63	72
Jeffry55.3%	50	53	27	89	64	71	50	47	43	71
Jean53.9%	58	33	55	47	88	50	71	60	59	43
Aoi53.1%	54	48	39	58	61	59	64	64	60	39
Lion52.5%	51	59	60	58	60	35	51	48	52	44
Sarah52.1%	41	59	34	50	74	25	71	54	62	48
Pai51.7%	61	67	48	52	52	45	25	46	55	46
Vanessa51.4%	38	50	56	50	56	51	62	49	39	57
El Blaze49.9%	56	38	45	53	44	47	54	57	53	54
Eileen48.1%	38	26	46	52	60	52	56	52	50	33
Lei Fei46.7%	47	41	56	48	54	47	20	50	25	60
Akira45.8%	45	41	43	46	42	58	46	47	47	48
Kage45.3%	54	41	28	53	35	47	42	52	48	48
Lau44.5%	39	41	49	43	50	31	34	46	49	50
Taka44.4%	63	43	40	48	53	35	25	18	56	52
Jacky43.8%	43	38	51	49	46	41	21	51	49	34
Goh43.5%	39	40	41	52	38	53	55	57	38	41
Brad43.4%	38	50	41	47	51	43	42	31	43	45
Dural40.0%	0	67	·	0	0	0	67	·	·	0

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-0.3 pts behind walls (95% interval -3.3 to +2.8); within chance across the 20 characters tested, q=0.868

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
Wolf57.4%	57	63
Jeffry55.3%	49	68
Jean53.9%	51	60
Aoi53.1%	53	51
Lion52.5%	54	47
Sarah52.1%	51	49
Pai51.7%	53	48
Vanessa51.4%	48	55
El Blaze49.9%	51	48
Eileen48.1%	45	48
Lei Fei46.7%	45	56
Akira45.8%	45	49
Kage45.3%	47	44
Lau44.5%	45	44
Taka44.4%	47	46
Jacky43.8%	47	41
Goh43.5%	43	43
Brad43.4%	41	47
Dural40.0%	50	0

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
Jeffry53.5%	48	49	38	74	58	65	47	52	46	65
Wolf52.1%	48	65	49	49	51	50	59	51	54	58
Jean51.2%	52	44	51	52	72	55	59	49	51	45
Aoi50.5%	48	50	45	50	58	53	56	59	52	41
Sarah50.2%	43	53	40	50	61	36	64	51	53	48
El Blaze50.1%	53	46	46	52	45	49	52	52	52	55
Vanessa50.0%	46	50	54	50	53	50	55	49	40	51
Lion49.6%	48	54	55	52	53	42	48	49	49	44
Pai49.3%	56	59	47	47	49	49	42	46	52	44
Eileen48.1%	44	39	47	52	55	52	48	51	49	38
Lei Fei47.6%	48	40	52	52	53	51	40	48	33	54
Taka46.2%	58	43	45	49	50	41	41	33	48	48
Lau46.0%	41	43	48	46	49	38	39	48	50	49
Kage45.9%	50	43	37	48	41	47	43	50	47	47
Brad45.8%	41	53	44	52	50	48	46	40	43	46
Goh45.5%	43	44	49	55	42	48	52	52	38	44
Jacky45.3%	44	43	48	49	46	44	32	51	49	37
Akira45.3%	47	43	44	47	41	51	47	46	47	44
Dural43.4%	0	59	·	0	25	25	70	·	·	14

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 -1.2 to +1.9); 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
Jeffry53.5%	49	61
Wolf52.1%	52	54
Jean51.2%	50	57
Aoi50.5%	50	50
Sarah50.2%	49	48
El Blaze50.1%	50	50
Vanessa50.0%	49	51
Lion49.6%	51	46
Pai49.3%	51	47
Eileen48.1%	47	48
Lei Fei47.6%	46	53
Taka46.2%	47	46
Lau46.0%	46	46
Kage45.9%	47	46
Brad45.8%	44	48
Goh45.5%	46	44
Jacky45.3%	47	43
Akira45.3%	46	45
Dural43.4%	46	20

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	5.35%	8	6,496
North America	5.66%	8	304
Europe	12.97%	3	361
South America	20.76%	3	148
Not recorded	0.50%	19	21

Shun

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