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

Win rate51.1%

Standing#5 of 19 · tier A

Pick rate5.5%

Most picked#8 of 19

Matches counted88,671

Unique players898

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	52.94%	1,764	1,568	3,332
Wolf	52.67%	3,103	2,788	5,891
Dural	52.36%	399	363	762
Jacky	51.88%	4,559	4,229	8,788
Akira	51.82%	5,493	5,108	10,601
Sarah	51.76%	2,667	2,486	5,153
Shun	51.67%	2,495	2,334	4,829
Brad	51.55%	2,291	2,153	4,444
Goh	51.55%	2,424	2,278	4,702
Lei Fei	51.51%	1,676	1,578	3,254
Aoi	50.96%	2,459	2,366	4,825
Lau	50.72%	2,711	2,634	5,345
Jeffry	50.70%	2,620	2,548	5,168
Eileen	50.15%	831	826	1,657
Lion	49.93%	2,522	2,529	5,051
El Blaze	49.90%	1,668	1,675	3,343
Jean	49.57%	2,241	2,280	4,521
Pai	49.12%	2,621	2,715	5,336
Taka	44.52%	743	926	1,669

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
Vanessa52.9%	57	56	57	53	51	49	53	49	53	54
Wolf52.7%	53	51	54	52	55	53	57	50	52	51
Dural52.4%	46	54	54	55	54	64	46	46	54	52
Jacky51.9%	50	53	50	53	55	52	53	50	52	51
Akira51.8%	50	53	51	51	54	51	53	53	50	52
Sarah51.8%	52	54	49	48	54	53	56	49	52	54
Shun51.7%	52	54	51	52	53	54	55	48	51	49
Brad51.5%	52	52	52	52	51	52	53	50	52	50
Goh51.5%	55	48	55	56	53	52	46	54	50	51
Lei Fei51.5%	53	56	59	50	52	50	50	52	47	48
Aoi51.0%	54	52	49	53	52	50	52	49	52	49
Lau50.7%	50	48	50	51	48	52	55	48	52	52
Jeffry50.7%	50	53	49	50	48	53	49	51	52	53
Eileen50.1%	45	43	55	51	50	49	56	56	51	52
Lion49.9%	48	52	51	51	46	46	51	52	52	49
El Blaze49.9%	50	51	53	49	51	46	51	51	48	50
Jean49.6%	52	45	50	49	50	52	51	52	48	47
Pai49.1%	49	48	48	50	50	50	54	48	47	49
Taka44.5%	48	62	50	37	46	34	49	46	43	38

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 -0.9 to +1.1); 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
Vanessa52.9%	54	51
Wolf52.7%	52	53
Dural52.4%	51	57
Jacky51.9%	51	53
Akira51.8%	51	52
Sarah51.8%	51	54
Shun51.7%	51	52
Brad51.5%	52	51
Goh51.5%	53	52
Lei Fei51.5%	52	50
Aoi51.0%	51	50
Lau50.7%	50	51
Jeffry50.7%	51	51
Eileen50.1%	50	50
Lion49.9%	51	47
El Blaze49.9%	50	49
Jean49.6%	49	50
Pai49.1%	48	50
Taka44.5%	47	39

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Shun52.0%	52	52	52	52	52	53	54	50	52	51
Vanessa51.9%	53	54	53	51	50	51	53	50	51	53
Wolf51.7%	51	51	52	51	53	52	56	51	52	51
Akira51.2%	50	52	51	51	53	51	52	52	50	51
Brad51.0%	51	51	50	51	51	52	52	51	52	50
Jacky50.9%	50	52	50	52	52	51	52	50	51	51
Goh50.9%	53	48	54	53	51	51	48	51	50	50
Sarah50.9%	51	52	50	49	52	51	53	51	51	51
Lei Fei50.6%	51	52	54	49	51	50	49	52	48	48
Aoi50.4%	51	51	50	51	51	51	50	50	51	49
Lau50.4%	49	50	50	51	49	51	53	49	51	51
Dural50.4%	47	47	52	53	50	57	46	47	52	52
Jeffry50.2%	50	51	50	50	49	52	50	51	50	51
El Blaze50.0%	50	50	52	50	51	49	49	51	50	50
Lion49.9%	49	50	50	51	48	48	51	49	51	50
Eileen49.8%	47	46	52	50	52	50	52	54	50	50
Jean49.8%	51	46	51	50	49	51	51	51	49	49
Pai49.6%	50	49	49	50	50	50	50	49	49	49
Taka46.9%	49	57	50	42	47	41	49	48	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+0.1 pts behind walls (95% interval -0.4 to +0.6); within chance across the 20 characters tested, q=0.901

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Shun52.0%	52	52
Vanessa51.9%	52	51
Wolf51.7%	51	52
Akira51.2%	51	51
Brad51.0%	51	51
Jacky50.9%	51	51
Goh50.9%	51	51
Sarah50.9%	51	51
Lei Fei50.6%	51	50
Aoi50.4%	51	50
Lau50.4%	50	50
Dural50.4%	50	53
Jeffry50.2%	50	51
El Blaze50.0%	50	50
Lion49.9%	50	49
Eileen49.8%	50	50
Jean49.8%	50	50
Pai49.6%	49	50
Taka46.9%	49	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	6.31%	4	56,973
North America	3.38%	15	9,523
South America	5.42%	8	17,290
Europe	3.47%	13	1,502
Oceania	1.54%	13	112
Middle East	0.67%	6	14
Not recorded	5.05%	8	8,299

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

Win rate50.3%

Standing#12 of 19 · tier B

Pick rate4.2%

Most picked#11 of 19

Matches counted32,022

Unique players624

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	54.61%	610	507	1,117
Akira	52.23%	2,346	2,146	4,492
Aoi	52.19%	1,274	1,167	2,441
Eileen	51.37%	355	336	691
Lau	51.15%	670	640	1,310
Lei Fei	51.00%	434	417	851
Shun	50.92%	936	902	1,838
Wolf	50.82%	1,270	1,229	2,499
Goh	50.43%	886	871	1,757
Lion	50.43%	767	754	1,521
Jacky	50.33%	1,462	1,443	2,905
Brad	49.95%	517	518	1,035
Sarah	49.95%	1,105	1,107	2,212
Jeffry	49.22%	912	941	1,853
Pai	48.23%	1,211	1,300	2,511
El Blaze	46.69%	501	572	1,073
Jean	46.04%	570	668	1,238
Dural	45.00%	99	121	220
Taka	42.58%	195	263	458

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
Vanessa54.6%	58	60	58	53	54	48	53	50	57	53
Akira52.2%	55	55	52	49	52	51	54	53	50	51
Aoi52.2%	56	51	48	56	55	52	56	47	55	47
Eileen51.4%	44	42	56	52	61	48	47	56	57	53
Lau51.1%	48	57	47	57	42	51	54	49	54	50
Lei Fei51.0%	54	45	67	52	50	49	46	52	48	46
Shun50.9%	50	53	49	55	49	57	52	50	49	45
Wolf50.8%	52	48	54	51	52	48	59	46	51	49
Goh50.4%	53	44	51	56	52	55	41	52	50	54
Lion50.4%	50	51	53	51	43	48	51	50	50	55
Jacky50.3%	43	53	47	51	56	50	57	48	50	52
Brad50.0%	51	51	53	43	46	52	51	48	51	55
Sarah50.0%	53	55	46	45	51	53	56	48	47	50
Jeffry49.2%	41	54	49	42	49	52	44	53	53	55
Pai48.2%	53	53	46	51	49	47	49	46	44	48
El Blaze46.7%	43	50	45	46	46	43	46	49	47	53
Jean46.0%	54	44	47	45	44	43	43	47	44	48
Dural45.0%	38	55	41	33	54	50	44	27	81	25
Taka42.6%	49	55	45	20	59	31	48	45	43	30

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+0.1 pts behind walls (95% interval -1.5 to +1.6); within chance across the 20 characters tested, q=0.971

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Vanessa54.6%	56	52
Akira52.2%	52	52
Aoi52.2%	52	51
Eileen51.4%	51	53
Lau51.1%	52	48
Lei Fei51.0%	52	48
Shun50.9%	51	50
Wolf50.8%	50	50
Goh50.4%	51	53
Lion50.4%	51	49
Jacky50.3%	49	53
Brad50.0%	49	51
Sarah50.0%	49	51
Jeffry49.2%	49	52
Pai48.2%	48	48
El Blaze46.7%	47	47
Jean46.0%	47	45
Dural45.0%	46	46
Taka42.6%	44	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
Vanessa52.9%	54	58	53	53	52	49	52	51	54	53
Shun51.7%	51	51	51	53	51	55	53	52	51	49
Akira51.6%	53	53	51	51	53	51	52	51	51	51
Aoi51.2%	52	51	49	53	53	52	51	49	53	48
Lei Fei50.7%	52	45	60	52	50	51	49	52	50	48
Wolf50.6%	50	49	53	50	51	49	57	49	50	50
Eileen50.6%	47	47	53	50	57	50	48	55	52	49
Lau50.6%	48	55	47	53	47	51	52	50	51	51
Goh50.4%	51	47	52	53	50	53	46	52	50	51
Lion50.4%	51	49	50	52	47	50	51	47	51	53
Jacky50.1%	47	51	48	50	54	50	55	49	50	50
Brad49.9%	51	50	50	47	48	53	50	47	51	52
Sarah49.9%	52	53	48	47	50	51	53	49	49	51
Jeffry49.4%	45	52	49	47	49	52	48	52	50	51
Pai49.1%	52	53	47	51	49	48	49	48	48	48
El Blaze48.7%	45	51	49	50	49	46	48	50	49	52
Jean47.8%	54	45	49	48	47	45	46	48	47	48
Taka46.4%	51	53	45	35	55	41	46	49	48	39
Dural46.3%	45	51	46	40	50	50	42	35	63	40

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.1 pts behind walls (95% interval -0.9 to +0.7); within chance across the 20 characters tested, q=0.860

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
Vanessa52.9%	54	51
Shun51.7%	52	52
Akira51.6%	52	52
Aoi51.2%	51	51
Lei Fei50.7%	51	50
Wolf50.6%	50	50
Eileen50.6%	50	52
Lau50.6%	51	50
Goh50.4%	51	52
Lion50.4%	50	50
Jacky50.1%	49	51
Brad49.9%	49	51
Sarah49.9%	50	51
Jeffry49.4%	49	51
Pai49.1%	49	48
El Blaze48.7%	49	49
Jean47.8%	48	47
Taka46.4%	47	44
Dural46.3%	47	48

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	4.98%	9	13,561
North America	2.57%	15	4,928
South America	4.77%	9	8,780
Europe	4.25%	11	1,012
Oceania	1.62%	13	112
Middle East	0.00%	14	0
Not recorded	4.30%	13	4,943

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

Win rate51.9%

Standing#3 of 19 · tier A

Pick rate6.3%

Most picked#3 of 19

Matches counted46,861

Unique players390

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	55.73%	282	224	506
Wolf	53.64%	1,583	1,368	2,951
Jacky	53.07%	2,541	2,247	4,788
Sarah	53.05%	1,329	1,176	2,505
Lei Fei	52.75%	998	894	1,892
El Blaze	52.72%	951	853	1,804
Akira	52.68%	2,651	2,381	5,032
Brad	52.45%	1,466	1,329	2,795
Goh	52.02%	1,351	1,246	2,597
Lau	51.67%	1,577	1,475	3,052
Shun	51.58%	1,273	1,195	2,468
Jeffry	51.43%	1,548	1,462	3,010
Jean	51.13%	1,566	1,497	3,063
Vanessa	51.04%	838	804	1,642
Lion	50.78%	1,407	1,364	2,771
Eileen	50.75%	338	328	666
Pai	50.02%	1,159	1,158	2,317
Aoi	49.95%	1,052	1,054	2,106
Taka	44.64%	400	496	896

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
Dural55.7%	48	52	61	64	55	72	48	51	45	62
Wolf53.6%	53	55	54	54	56	58	53	52	51	52
Jacky53.1%	53	54	53	54	54	54	52	52	52	52
Sarah53.0%	50	50	50	50	56	54	56	51	56	58
Lei Fei52.8%	54	63	58	49	53	54	49	53	48	49
El Blaze52.7%	55	52	57	51	55	50	51	52	49	52
Akira52.7%	49	53	51	54	55	52	54	54	50	54
Brad52.5%	55	53	53	57	55	52	53	49	52	49
Goh52.0%	55	50	57	57	54	51	46	53	49	49
Lau51.7%	53	46	52	52	51	55	55	49	50	53
Shun51.6%	56	54	49	51	53	51	57	47	52	52
Jeffry51.4%	53	51	49	55	47	54	53	50	50	54
Jean51.1%	53	45	52	52	53	57	55	53	49	46
Vanessa51.0%	54	52	58	53	43	49	52	46	50	56
Lion50.8%	49	55	52	53	48	45	54	52	53	46
Eileen50.8%	49	45	54	55	41	49	70	57	48	48
Pai50.0%	45	44	52	48	50	57	58	49	50	49
Aoi50.0%	52	52	52	50	48	49	48	50	50	50
Taka44.6%	46	60	51	44	43	30	53	48	41	42

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 +1.1); 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
Dural55.7%	53	63
Wolf53.6%	53	55
Jacky53.1%	53	53
Sarah53.0%	51	56
Lei Fei52.8%	54	52
El Blaze52.7%	53	52
Akira52.7%	52	54
Brad52.5%	53	52
Goh52.0%	53	51
Lau51.7%	50	53
Shun51.6%	52	52
Jeffry51.4%	52	52
Jean51.1%	50	52
Vanessa51.0%	52	50
Lion50.8%	52	47
Eileen50.8%	52	46
Pai50.0%	48	52
Aoi50.0%	51	49
Taka44.6%	48	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
Dural52.3%	48	45	56	57	50	61	49	50	48	56
Wolf52.1%	52	52	52	51	54	54	54	51	53	51
Shun51.8%	54	52	51	51	52	52	55	49	53	52
Jacky51.7%	51	52	52	53	51	52	51	51	52	52
Akira51.7%	50	52	51	52	53	51	53	52	50	52
Brad51.7%	53	52	51	54	53	52	52	51	52	49
Sarah51.6%	50	51	51	50	53	51	54	52	53	53
El Blaze51.5%	53	49	53	52	53	51	49	52	50	51
Goh51.1%	53	49	55	53	52	51	48	50	49	50
Lei Fei51.1%	53	57	53	49	51	51	48	52	48	49
Lau51.0%	51	49	51	52	50	52	53	49	51	51
Vanessa50.8%	53	52	54	51	47	51	51	48	50	53
Jeffry50.7%	52	50	50	52	49	53	51	50	50	52
Jean50.7%	51	47	51	51	50	53	53	52	49	49
Eileen50.3%	49	47	50	52	50	49	59	53	50	49
Lion50.3%	49	52	51	52	49	47	52	49	51	50
Pai50.0%	49	46	51	49	50	54	52	51	50	49
Aoi49.7%	51	51	51	50	49	49	48	50	49	51
Taka46.8%	47	54	52	46	47	38	51	48	47	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+0.1 pts behind walls (95% interval -0.5 to +0.6); within chance across the 20 characters tested, q=0.961

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
Dural52.3%	51	56
Wolf52.1%	52	53
Shun51.8%	52	52
Jacky51.7%	52	52
Akira51.7%	51	52
Brad51.7%	52	51
Sarah51.6%	51	52
El Blaze51.5%	52	51
Goh51.1%	51	51
Lei Fei51.1%	52	50
Lau51.0%	51	51
Vanessa50.8%	51	51
Jeffry50.7%	51	51
Jean50.7%	50	51
Eileen50.3%	50	49
Lion50.3%	51	49
Pai50.0%	49	51
Aoi49.7%	50	49
Taka46.8%	49	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	6.64%	4	33,795
South America	6.29%	5	8,464
North America	5.20%	8	4,425
Europe	2.24%	15	373
Middle East	1.38%	5	14
Oceania	0.00%	15	0
Not recorded	6.21%	4	2,804

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

Win rate49.6%

Standing#8 of 19 · tier B

Pick rate7.8%

Most picked#5 of 19

Matches counted9,788

Unique players71

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	56.69%	250	191	441
Vanessa	55.15%	316	257	573
Shun	54.68%	286	237	523
Goh	53.74%	187	161	348
Sarah	53.44%	233	203	436
Jeffry	52.46%	160	145	305
Jacky	50.78%	556	539	1,095
Brad	50.16%	308	306	614
Dural	50.00%	18	18	36
Pai	49.41%	251	257	508
Aoi	47.84%	133	145	278
Lei Fei	47.75%	244	267	511
Jean	47.73%	105	115	220
Lau	47.20%	464	519	983
Taka	46.98%	148	167	315
El Blaze	46.35%	216	250	466
Akira	46.05%	496	581	1,077
Eileen	46.00%	138	162	300
Lion	45.85%	348	411	759

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
Wolf56.7%	60	45	53	51	65	54	67	59	63	57
Vanessa55.1%	61	57	50	52	63	52	62	56	56	49
Shun54.7%	46	59	72	47	65	53	58	48	52	52
Goh53.7%	66	48	55	50	55	45	70	72	53	46
Sarah53.4%	56	67	52	53	61	49	52	46	48	48
Jeffry52.5%	67	73	50	46	37	57	50	48	59	37
Jacky50.8%	57	54	48	56	53	50	44	46	53	45
Brad50.2%	44	49	46	44	42	53	59	61	56	49
Dural50.0%	50	60	60	0	0	57	·	50	60	25
Pai49.4%	45	52	46	58	59	39	59	49	47	51
Aoi47.8%	50	47	41	41	55	50	45	56	52	46
Lei Fei47.8%	41	54	56	47	51	38	59	48	39	45
Jean47.7%	26	47	52	39	48	43	38	73	56	50
Lau47.2%	43	42	50	38	48	44	56	46	55	52
Taka47.0%	56	83	51	38	40	49	33	38	48	38
El Blaze46.4%	49	45	50	46	50	42	60	49	48	32
Akira46.0%	33	44	49	48	50	44	42	51	50	47
Eileen46.0%	32	40	55	38	46	51	57	59	44	53
Lion45.9%	41	46	46	44	44	44	43	59	52	44

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+1.3 pts behind walls (95% interval -1.2 to +3.9); within chance across the 20 characters tested, q=0.562

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Wolf56.7%	56	58
Vanessa55.1%	55	55
Shun54.7%	53	56
Goh53.7%	57	48
Sarah53.4%	54	53
Jeffry52.5%	56	45
Jacky50.8%	52	49
Brad50.2%	49	48
Dural50.0%	54	42
Pai49.4%	50	50
Aoi47.8%	48	51
Lei Fei47.8%	48	44
Jean47.7%	48	46
Lau47.2%	46	48
Taka47.0%	51	43
El Blaze46.4%	48	42
Akira46.0%	46	47
Eileen46.0%	45	51
Lion45.9%	47	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
Wolf54.3%	53	48	52	52	57	54	62	57	59	53
Shun54.1%	50	57	63	52	59	53	57	50	53	53
Vanessa52.8%	55	54	52	49	56	52	58	51	54	50
Sarah51.5%	54	56	52	50	55	50	51	50	49	47
Goh51.0%	58	46	50	51	51	47	58	60	51	46
Jeffry50.5%	58	60	53	44	43	54	52	48	52	41
Pai49.7%	46	52	48	56	55	45	53	50	49	50
Jacky49.5%	52	51	49	52	50	49	45	47	52	48
Aoi49.4%	51	52	48	44	52	52	48	52	51	47
Dural49.4%	38	47	52	40	40	52	·	54	55	42
Brad49.2%	47	48	48	46	44	50	56	55	53	49
Lei Fei48.7%	44	52	53	49	51	45	53	51	44	46
Jean48.5%	37	48	50	46	50	45	44	60	52	50
Lau48.4%	47	46	49	45	49	47	54	46	50	50
Taka47.8%	52	71	51	42	41	48	47	44	47	43
El Blaze47.6%	48	49	48	47	48	45	52	50	48	42
Lion47.4%	43	47	48	48	46	46	47	54	50	46
Akira47.2%	42	45	50	48	51	46	46	49	48	47
Eileen47.1%	41	43	53	43	44	50	51	55	45	53

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.8 pts behind walls (95% interval -0.6 to +2.1); 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
Wolf54.3%	54	54
Shun54.1%	53	54
Vanessa52.8%	52	53
Sarah51.5%	52	51
Goh51.0%	53	48
Jeffry50.5%	52	47
Pai49.7%	50	50
Jacky49.5%	50	49
Aoi49.4%	49	51
Dural49.4%	50	47
Brad49.2%	49	48
Lei Fei48.7%	49	47
Jean48.5%	48	48
Lau48.4%	47	49
Taka47.8%	50	44
El Blaze47.6%	48	45
Lion47.4%	48	46
Akira47.2%	47	48
Eileen47.1%	47	49

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	7.91%	4	9,617
North America	3.17%	10	170
Europe	4.20%	9	117
South America	6.45%	4	46
Not recorded	13.25%	2	552

Kage

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