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

Win rate49.7%

Standing#14 of 19 · tier C

Pick rate3.4%

Most picked#16 of 19

Matches counted57,023

Unique players569

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	53.15%	2,064	1,819	3,883
Jeffry	52.49%	1,822	1,649	3,471
Akira	51.91%	3,524	3,265	6,789
Goh	51.78%	1,510	1,406	2,916
Jacky	50.40%	2,906	2,860	5,766
Jean	49.96%	1,401	1,403	2,804
Aoi	49.61%	1,477	1,500	2,977
Pai	49.37%	1,530	1,569	3,099
Sarah	49.19%	1,761	1,819	3,580
Brad	48.64%	1,199	1,266	2,465
Shun	48.45%	1,502	1,598	3,100
Lei Fei	48.24%	1,053	1,130	2,183
Lion	48.17%	1,450	1,560	3,010
El Blaze	47.91%	973	1,058	2,031
Taka	47.54%	531	586	1,117
Kage	47.06%	1,568	1,764	3,332
Lau	45.76%	1,397	1,656	3,053
Eileen	45.70%	468	556	1,024
Dural	45.15%	191	232	423

By shapeWalls or no wallsBy shape · roundsWalls or no walls · rounds

Stage Impact To Match WP

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

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

How significance is decided

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

Each matchup, stage by stage

Win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Wolf53.1%	53	50	52	57	55	54	56	54	51	51
Jeffry52.5%	51	49	55	50	56	53	56	50	49	56
Akira51.9%	51	54	49	55	54	51	52	50	52	51
Goh51.8%	52	51	54	54	52	53	53	53	52	48
Jacky50.4%	50	47	52	48	56	52	50	47	52	52
Jean50.0%	53	50	49	49	51	48	53	48	52	50
Aoi49.6%	52	49	53	49	51	47	48	51	50	49
Pai49.4%	54	52	48	50	49	50	46	48	48	44
Sarah49.2%	52	47	46	48	51	50	51	46	48	56
Brad48.6%	46	52	55	46	50	50	47	54	48	43
Shun48.5%	51	53	46	43	49	52	40	49	49	51
Lei Fei48.2%	52	41	49	43	49	54	51	48	51	47
Lion48.2%	51	49	45	48	50	46	59	45	48	44
El Blaze47.9%	48	44	49	50	49	53	40	47	48	43
Taka47.5%	50	48	52	51	44	42	51	46	46	46
Kage47.1%	43	44	43	47	49	51	47	51	47	46
Lau45.8%	43	45	47	46	44	45	50	42	56	43
Eileen45.7%	38	41	56	45	50	43	50	45	49	46
Dural45.1%	54	50	61	32	32	35	52	41	45	49

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-0.5 pts behind walls (95% interval -1.8 to +0.7); 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
Wolf53.1%	53	53
Jeffry52.5%	51	55
Akira51.9%	52	52
Goh51.8%	53	51
Jacky50.4%	49	53
Jean50.0%	50	50
Aoi49.6%	51	49
Pai49.4%	50	48
Sarah49.2%	48	52
Brad48.6%	50	47
Shun48.5%	48	51
Lei Fei48.2%	47	50
Lion48.2%	48	47
El Blaze47.9%	48	49
Taka47.5%	49	44
Kage47.1%	46	49
Lau45.8%	47	44
Eileen45.7%	45	46
Dural45.1%	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
Wolf51.9%	52	50	52	53	52	52	53	52	51	51
Jeffry51.4%	50	49	53	50	53	52	53	50	51	53
Akira51.0%	50	52	50	53	52	50	51	50	52	51
Goh50.9%	51	51	51	51	51	52	52	51	51	49
Jacky50.3%	51	49	51	50	52	51	50	48	51	51
Jean50.1%	51	49	49	49	50	50	52	49	51	50
Shun50.0%	52	52	50	47	49	51	46	50	50	51
Aoi49.8%	51	50	52	49	50	49	49	51	50	49
Pai49.7%	52	51	49	50	50	50	48	49	48	47
Sarah49.5%	50	49	48	49	51	50	50	48	50	52
Brad49.3%	48	51	53	49	50	50	48	51	49	47
Lei Fei49.1%	51	47	48	48	49	53	51	48	49	49
Lion49.1%	50	50	47	49	50	48	54	48	48	47
El Blaze48.9%	49	47	49	52	49	51	46	48	50	45
Eileen48.2%	44	46	53	47	52	46	50	48	51	46
Kage48.1%	47	46	47	49	50	49	47	50	49	47
Lau47.7%	46	48	48	49	47	46	49	46	52	46
Taka47.5%	48	48	50	50	46	44	50	47	46	47
Dural46.8%	54	50	54	41	36	43	50	42	45	51

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 -0.7 to +0.5); 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
Wolf51.9%	52	52
Jeffry51.4%	51	53
Akira51.0%	51	51
Goh50.9%	51	51
Jacky50.3%	50	51
Jean50.1%	50	50
Shun50.0%	50	51
Aoi49.8%	50	49
Pai49.7%	50	49
Sarah49.5%	49	51
Brad49.3%	50	49
Lei Fei49.1%	49	50
Lion49.1%	49	48
El Blaze48.9%	49	49
Eileen48.2%	48	48
Kage48.1%	48	49
Lau47.7%	48	47
Taka47.5%	48	46
Dural46.8%	48	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	3.64%	15	32,884
North America	2.53%	17	7,126
South America	4.16%	13	13,280
Europe	2.25%	17	975
Oceania	2.65%	10	192
Middle East	0.00%	19	0
Not recorded	2.80%	16	4,598

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

Win rate50.6%

Standing#8 of 19 · tier B

Pick rate3.1%

Most picked#16 of 19

Matches counted23,567

Unique players434

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	54.11%	1,680	1,425	3,105
Wolf	52.61%	1,080	973	2,053
Jeffry	52.23%	797	729	1,526
Goh	51.36%	566	536	1,102
Lei Fei	51.26%	386	367	753
Jacky	50.92%	1,136	1,095	2,231
Lion	50.69%	440	428	868
Jean	50.52%	490	480	970
Aoi	50.51%	797	781	1,578
Eileen	50.43%	235	231	466
El Blaze	50.35%	435	429	864
Sarah	50.06%	859	857	1,716
Pai	49.78%	782	789	1,571
Brad	48.80%	347	364	711
Taka	48.72%	210	221	431
Shun	48.08%	662	715	1,377
Lau	46.98%	444	501	945
Kage	45.39%	507	610	1,117
Dural	40.98%	75	108	183

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
Akira54.1%	48	55	51	60	55	52	52	57	54	55
Wolf52.6%	49	49	54	58	51	53	55	54	50	50
Jeffry52.2%	52	43	55	47	57	56	56	52	49	60
Goh51.4%	50	48	52	64	45	47	53	60	48	52
Lei Fei51.3%	56	36	55	41	50	60	50	48	56	59
Jacky50.9%	48	46	53	53	56	51	53	48	54	50
Lion50.7%	51	49	52	56	48	50	58	54	49	45
Jean50.5%	51	49	51	52	49	46	47	50	58	48
Aoi50.5%	52	46	56	49	51	48	45	53	51	54
Eileen50.4%	45	46	59	43	57	48	65	49	58	50
El Blaze50.4%	47	44	51	57	55	57	46	45	53	44
Sarah50.1%	52	49	46	55	49	47	47	50	47	61
Pai49.8%	54	55	52	51	52	51	45	50	45	41
Brad48.8%	48	57	45	41	61	39	53	59	51	48
Taka48.7%	56	53	59	57	37	45	37	49	40	38
Shun48.1%	50	54	47	42	53	48	37	47	52	46
Lau47.0%	38	51	46	52	44	44	51	40	61	42
Kage45.4%	42	40	42	47	46	52	47	50	43	47
Dural41.0%	55	42	70	29	0	38	46	38	21	35

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 -1.7 to +1.9); 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
Akira54.1%	54	54
Wolf52.6%	52	51
Jeffry52.2%	49	58
Goh51.4%	53	49
Lei Fei51.3%	49	57
Jacky50.9%	50	52
Lion50.7%	52	48
Jean50.5%	52	48
Aoi50.5%	51	51
Eileen50.4%	49	52
El Blaze50.4%	49	52
Sarah50.1%	50	52
Pai49.8%	51	48
Brad48.8%	50	49
Taka48.7%	53	40
Shun48.1%	49	49
Lau47.0%	49	43
Kage45.4%	44	48
Dural41.0%	45	28

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
Akira52.2%	49	53	50	55	53	51	51	53	52	53
Wolf51.6%	49	50	52	55	50	52	53	51	51	51
Jeffry51.0%	50	45	53	48	53	54	51	51	51	55
Eileen51.0%	49	49	55	47	56	48	59	50	57	48
Goh50.6%	50	50	52	57	48	49	51	54	48	52
Aoi50.6%	51	48	53	49	50	50	49	52	51	52
Jacky50.5%	50	49	52	52	52	50	52	49	52	50
Lei Fei50.4%	51	45	51	47	49	54	50	49	52	55
Lion50.2%	50	50	50	53	47	51	55	51	49	49
El Blaze50.2%	49	48	50	56	51	54	51	48	50	46
Sarah50.0%	50	50	48	53	50	49	49	49	49	55
Jean50.0%	50	49	50	50	49	49	51	48	55	48
Pai49.9%	52	52	51	51	52	50	47	50	47	46
Shun49.7%	51	53	52	46	52	51	44	49	50	48
Brad49.6%	48	53	46	46	55	47	53	54	52	49
Taka48.6%	52	51	54	53	43	47	45	49	41	40
Lau48.5%	44	52	49	51	47	46	50	45	55	46
Kage47.1%	46	42	47	47	48	51	48	49	46	47
Dural44.2%	52	45	57	39	13	45	49	38	33	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+0.1 pts behind walls (95% interval -0.9 to +1.0); 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
Akira52.2%	52	52
Wolf51.6%	51	51
Jeffry51.0%	50	54
Eileen51.0%	51	51
Goh50.6%	51	50
Aoi50.6%	51	51
Jacky50.5%	51	51
Lei Fei50.4%	49	53
Lion50.2%	51	49
El Blaze50.2%	50	50
Sarah50.0%	50	51
Jean50.0%	50	49
Pai49.9%	51	49
Shun49.7%	50	50
Brad49.6%	50	50
Taka48.6%	51	44
Lau48.5%	50	46
Kage47.1%	46	49
Dural44.2%	45	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	3.68%	13	10,022
North America	2.25%	17	4,312
South America	3.45%	15	6,349
Europe	2.54%	15	606
Oceania	2.78%	10	192
Middle East	0.00%	19	0
Not recorded	2.47%	18	2,836

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

Win rate50.1%

Standing#9 of 19 · tier B

Pick rate3.4%

Most picked#17 of 19

Matches counted26,017

Unique players202

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	54.55%	863	719	1,582
Goh	52.09%	747	687	1,434
Jacky	51.99%	1,371	1,266	2,637
Akira	51.53%	1,503	1,414	2,917
Jeffry	51.44%	873	824	1,697
Lei Fei	50.82%	524	507	1,031
Taka	50.56%	226	221	447
Jean	50.42%	836	822	1,658
Aoi	49.56%	624	635	1,259
Pai	49.52%	616	628	1,244
Sarah	49.43%	731	748	1,479
Kage	48.96%	804	838	1,642
Shun	48.81%	638	669	1,307
Brad	48.49%	643	683	1,326
Lion	48.10%	683	737	1,420
El Blaze	47.89%	408	444	852
Dural	47.03%	103	116	219
Lau	46.63%	699	800	1,499
Eileen	42.23%	155	212	367

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
Wolf54.5%	58	52	51	57	59	53	53	54	55	52
Goh52.1%	55	51	56	50	58	54	51	51	55	44
Jacky52.0%	54	50	52	46	59	56	48	49	50	56
Akira51.5%	57	54	51	51	50	51	54	49	54	48
Jeffry51.4%	49	55	53	50	53	49	55	49	49	52
Lei Fei50.8%	52	48	49	47	52	57	56	55	50	46
Taka50.6%	50	50	49	50	50	49	71	51	51	53
Jean50.4%	54	52	49	48	53	49	57	47	50	51
Aoi49.6%	54	53	50	49	53	46	53	51	49	45
Pai49.5%	56	48	43	48	49	48	47	48	52	48
Sarah49.4%	53	47	49	43	54	52	52	44	49	53
Kage49.0%	46	48	42	47	57	51	48	54	50	44
Shun48.8%	49	54	44	41	46	55	44	50	42	61
Brad48.5%	49	52	59	50	45	52	47	52	42	41
Lion48.1%	54	53	43	43	55	45	61	40	47	46
El Blaze47.9%	51	41	55	48	47	48	30	51	47	48
Dural47.0%	50	62	53	33	39	24	50	47	57	59
Lau46.6%	44	45	53	41	46	47	52	44	54	45
Eileen42.2%	39	35	50	51	48	33	39	45	36	45

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-0.8 pts behind walls (95% interval -2.3 to +0.8); 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
Wolf54.5%	55	55
Goh52.1%	53	53
Jacky52.0%	50	57
Akira51.5%	53	50
Jeffry51.4%	51	51
Lei Fei50.8%	50	51
Taka50.6%	50	51
Jean50.4%	50	51
Aoi49.6%	51	47
Pai49.5%	49	48
Sarah49.4%	47	53
Kage49.0%	48	50
Shun48.8%	47	54
Brad48.5%	50	46
Lion48.1%	46	49
El Blaze47.9%	49	47
Dural47.0%	50	41
Lau46.6%	47	46
Eileen42.2%	43	41

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Wolf52.5%	55	51	52	53	55	50	51	53	53	52
Goh51.1%	54	50	52	50	53	52	52	50	53	46
Jacky51.0%	53	50	51	49	54	53	49	48	50	53
Akira50.9%	53	52	51	51	50	50	54	50	52	50
Jeffry50.9%	50	52	51	51	53	49	54	50	50	50
Jean50.5%	52	50	51	49	51	51	54	50	50	51
Lei Fei50.4%	53	49	48	50	50	55	52	52	48	48
Shun50.2%	51	53	49	46	48	52	48	51	47	57
Pai49.9%	52	50	47	50	51	49	49	50	50	49
Aoi49.5%	52	52	50	51	50	47	50	50	48	46
Sarah49.5%	50	50	49	47	52	51	51	47	50	50
Kage49.2%	47	48	46	49	53	49	49	52	50	47
Lion49.1%	51	52	45	47	53	48	54	47	48	48
Brad49.1%	49	50	55	51	49	51	47	51	46	46
Taka49.1%	48	49	49	48	48	48	59	50	49	50
El Blaze48.7%	51	44	52	50	48	48	40	50	51	47
Lau48.1%	46	48	51	48	48	48	50	46	52	47
Dural48.1%	54	57	53	42	41	37	44	48	51	56
Eileen46.6%	46	42	50	53	53	42	43	49	43	45

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 -0.8 to +0.7); 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
Wolf52.5%	53	52
Goh51.1%	52	51
Jacky51.0%	50	54
Akira50.9%	52	50
Jeffry50.9%	51	51
Jean50.5%	50	51
Lei Fei50.4%	50	51
Shun50.2%	50	52
Pai49.9%	50	49
Aoi49.5%	51	48
Sarah49.5%	49	51
Kage49.2%	49	49
Lion49.1%	48	50
Brad49.1%	50	48
Taka49.1%	49	49
El Blaze48.7%	50	48
Lau48.1%	48	48
Dural48.1%	51	44
Eileen46.6%	47	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	3.17%	17	16,103
South America	5.15%	9	6,931
North America	2.53%	17	2,153
Europe	1.81%	16	301
Middle East	0.00%	19	0
Oceania	0.00%	18	0
Not recorded	3.27%	15	1,475

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

Win rate45.1%

Standing#19 of 19 · tier D

Pick rate5.8%

Most picked#6 of 19

Matches counted7,439

Unique players31

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	61.90%	13	8	21
Jeffry	61.29%	152	96	248
Goh	51.84%	197	183	380
Brad	48.83%	209	219	428
Wolf	48.79%	121	127	248
Shun	48.56%	202	214	416
Pai	46.48%	132	152	284
Lion	45.29%	327	395	722
Kage	44.85%	257	316	573
Akira	44.46%	341	426	767
Jacky	44.43%	399	499	898
Sarah	44.42%	171	214	385
Jean	42.61%	75	101	176
Lau	41.71%	254	355	609
El Blaze	41.27%	130	185	315
Eileen	40.84%	78	113	191
Aoi	40.00%	56	84	140
Taka	39.75%	95	144	239
Lei Fei	35.84%	143	256	399

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
Dural61.9%	100	100	50	50	50	67	100	0	·	50
Jeffry61.3%	71	52	68	70	69	52	62	48	50	75
Goh51.8%	45	59	53	42	45	69	63	49	54	49
Brad48.8%	39	46	62	47	50	56	35	53	60	38
Wolf48.8%	48	43	33	48	54	64	86	40	39	52
Shun48.6%	62	50	44	50	44	49	38	51	61	43
Pai46.5%	42	51	44	55	9	55	47	32	49	46
Lion45.3%	46	42	45	49	45	45	54	45	47	36
Kage44.9%	39	43	50	48	37	48	38	44	44	51
Akira44.5%	45	46	34	49	60	47	42	33	39	45
Jacky44.4%	44	42	48	40	41	46	47	39	51	46
Sarah44.4%	42	42	36	40	49	55	63	38	49	45
Jean42.6%	56	38	35	43	35	54	0	43	31	47
Lau41.7%	48	36	30	51	34	40	45	41	50	38
El Blaze41.3%	35	52	31	32	42	54	56	41	39	32
Eileen40.8%	12	38	59	41	33	67	0	38	50	38
Aoi40.0%	25	38	55	39	42	36	33	32	54	47
Taka39.8%	36	35	50	29	50	28	43	33	44	42
Lei Fei35.8%	43	35	32	32	41	38	39	26	45	32

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-1.4 pts behind walls (95% interval -4.4 to +1.5); within chance across the 20 characters tested, q=0.570

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
Dural61.9%	57	58
Jeffry61.3%	59	65
Goh51.8%	50	53
Brad48.8%	51	48
Wolf48.8%	43	57
Shun48.6%	52	45
Pai46.5%	47	42
Lion45.3%	46	43
Kage44.9%	45	45
Akira44.5%	41	51
Jacky44.4%	44	44
Sarah44.4%	41	49
Jean42.6%	41	45
Lau41.7%	43	38
El Blaze41.3%	38	44
Eileen40.8%	40	46
Aoi40.0%	40	42
Taka39.8%	39	38
Lei Fei35.8%	36	37

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Jeffry56.9%	61	51	60	65	58	54	56	48	52	67
Dural55.6%	100	60	43	57	47	59	75	0	·	50
Goh50.6%	48	53	48	45	48	58	59	50	52	49
Shun50.0%	54	50	46	50	47	50	45	51	60	49
Wolf49.9%	50	48	43	49	51	63	67	46	44	49
Brad49.1%	44	49	58	49	46	53	43	50	55	45
Jacky47.7%	47	46	50	47	46	48	51	46	49	49
Lion47.6%	49	45	48	51	47	46	53	49	48	42
Kage47.2%	45	46	48	51	44	48	42	49	46	50
Pai47.2%	46	51	45	50	27	49	47	41	49	47
Sarah46.8%	45	45	43	42	51	53	55	44	49	48
Akira46.7%	45	49	41	48	56	50	44	43	45	46
Jean46.1%	51	44	38	47	45	54	40	48	39	49
El Blaze45.5%	41	50	39	44	45	52	51	46	46	40
Lau45.3%	49	43	37	49	42	44	47	47	48	44
Aoi44.3%	33	47	51	42	44	39	40	40	49	51
Eileen44.2%	27	46	53	42	37	55	14	44	51	44
Lei Fei43.4%	47	44	40	44	46	46	47	35	47	41
Taka42.6%	38	38	48	35	49	36	44	38	46	48

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.7 pts behind walls (95% interval -2.3 to +0.8); 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
Jeffry56.9%	56	60
Dural55.6%	52	54
Goh50.6%	49	51
Shun50.0%	51	49
Wolf49.9%	47	54
Brad49.1%	50	48
Jacky47.7%	47	48
Lion47.6%	49	45
Kage47.2%	48	47
Pai47.2%	48	44
Sarah46.8%	45	51
Akira46.7%	45	51
Jean46.1%	44	49
El Blaze45.5%	44	46
Lau45.3%	46	43
Aoi44.3%	44	45
Eileen44.2%	44	45
Lei Fei43.4%	43	44
Taka42.6%	41	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	5.56%	7	6,759
North America	12.31%	2	661
Europe	2.44%	14	68
South America	0.00%	19	0
Not recorded	6.89%	6	287

Vanessa

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