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

Win rate49.7%

Standing#13 of 19 · tier C

Pick rate5.8%

Most picked#4 of 19

Matches counted93,820

Unique players781

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	51.28%	6,021	5,720	11,741
Lei Fei	51.15%	1,775	1,695	3,470
Shun	51.15%	2,641	2,522	5,163
Vanessa	50.81%	1,819	1,761	3,580
Lau	50.58%	2,518	2,460	4,978
Dural	50.38%	398	392	790
Aoi	49.88%	2,822	2,836	5,658
Pai	49.68%	2,864	2,901	5,765
Wolf	49.67%	3,397	3,442	6,839
Lion	49.66%	2,381	2,414	4,795
Brad	49.51%	2,035	2,075	4,110
Goh	49.47%	2,583	2,638	5,221
Jacky	49.43%	4,544	4,649	9,193
Jean	49.16%	2,242	2,319	4,561
Eileen	48.34%	886	947	1,833
Kage	48.24%	2,486	2,667	5,153
El Blaze	48.21%	1,831	1,967	3,798
Jeffry	47.44%	2,581	2,860	5,441
Taka	46.27%	801	930	1,731

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
Akira51.3%	49	51	51	52	53	50	53	51	48	55
Lei Fei51.1%	54	52	54	51	48	47	49	51	52	52
Shun51.1%	49	49	56	51	51	52	48	56	49	50
Vanessa50.8%	48	53	54	52	49	50	49	54	52	44
Lau50.6%	51	52	50	53	51	52	49	47	50	51
Dural50.4%	43	49	51	48	50	64	75	50	37	52
Aoi49.9%	48	54	49	55	48	47	49	51	47	52
Pai49.7%	51	53	50	49	48	51	49	50	47	49
Wolf49.7%	48	50	53	51	50	44	50	54	48	46
Lion49.7%	49	52	49	49	54	48	53	53	48	46
Brad49.5%	48	50	50	50	50	50	49	44	54	49
Goh49.5%	50	48	47	51	49	52	52	51	48	48
Jacky49.4%	49	51	49	50	48	50	50	50	50	48
Jean49.2%	49	49	48	50	48	50	49	51	48	49
Eileen48.3%	45	48	51	48	48	47	48	51	50	48
Kage48.2%	48	46	51	52	46	47	44	51	48	46
El Blaze48.2%	49	50	47	49	53	45	46	44	48	51
Jeffry47.4%	45	45	49	47	48	50	43	47	47	49
Taka46.3%	50	45	44	45	42	45	50	50	44	52

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 -0.4 to +1.5); within chance across the 20 characters tested, q=0.589

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
Akira51.3%	51	52
Lei Fei51.1%	53	49
Shun51.1%	52	51
Vanessa50.8%	52	48
Lau50.6%	51	51
Dural50.4%	46	55
Aoi49.9%	51	49
Pai49.7%	50	50
Wolf49.7%	51	47
Lion49.7%	50	49
Brad49.5%	49	50
Goh49.5%	49	49
Jacky49.4%	50	49
Jean49.2%	49	49
Eileen48.3%	49	48
Kage48.2%	49	46
El Blaze48.2%	48	49
Jeffry47.4%	47	49
Taka46.3%	46	46

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Shun51.4%	51	50	55	51	51	51	49	54	52	51
Akira51.0%	50	52	51	52	52	51	52	50	49	52
Lei Fei50.8%	52	52	51	51	49	49	50	51	52	51
Vanessa50.5%	50	51	52	51	49	50	50	52	50	48
Lau50.5%	51	52	50	52	50	50	50	50	50	51
Dural50.1%	46	47	51	48	51	58	65	51	45	49
Lion50.0%	50	52	50	50	52	48	51	52	49	48
Aoi50.0%	49	52	49	53	49	48	49	51	48	51
Brad50.0%	49	51	50	51	49	50	50	47	52	49
Wolf49.9%	49	50	52	51	50	47	50	52	50	48
Pai49.9%	50	52	50	50	50	50	50	50	49	50
Goh49.9%	50	50	48	50	49	51	51	50	49	49
Jacky49.8%	50	51	49	50	49	50	50	50	50	49
Jean49.3%	49	50	49	50	49	49	49	49	48	49
El Blaze49.3%	50	49	48	50	51	48	49	47	49	50
Kage49.1%	49	48	50	51	48	49	47	49	49	49
Eileen48.8%	47	48	50	48	49	48	50	50	49	48
Jeffry48.4%	47	47	49	49	49	50	45	48	48	49
Taka47.6%	50	48	46	47	45	47	49	48	46	50

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.3 pts behind walls (95% interval -0.1 to +0.8); within chance across the 20 characters tested, q=0.389

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Shun51.4%	52	51
Akira51.0%	51	52
Lei Fei50.8%	52	49
Vanessa50.5%	51	49
Lau50.5%	51	51
Dural50.1%	48	53
Lion50.0%	50	50
Aoi50.0%	50	49
Brad50.0%	50	50
Wolf49.9%	51	48
Pai49.9%	50	50
Goh49.9%	50	50
Jacky49.8%	50	49
Jean49.3%	49	49
El Blaze49.3%	49	50
Kage49.1%	49	49
Eileen48.8%	49	49
Jeffry48.4%	48	49
Taka47.6%	48	47

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	5.43%	8	49,047
North America	5.80%	6	16,357
South America	6.62%	4	21,124
Europe	7.15%	4	3,090
Oceania	3.83%	8	278
Middle East	0.00%	17	0
Not recorded	5.80%	5	9,536

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

Win rate50.0%

Standing#14 of 19 · tier C

Pick rate6.6%

Most picked#6 of 19

Matches counted49,054

Unique players617

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Shun	52.51%	1,539	1,392	2,931
Eileen	52.25%	511	467	978
Lau	52.19%	1,201	1,100	2,301
Akira	51.97%	3,530	3,263	6,793
Aoi	51.29%	1,883	1,788	3,671
Lion	51.18%	1,132	1,080	2,212
Dural	51.10%	163	156	319
Lei Fei	50.84%	753	728	1,481
Pai	50.22%	1,865	1,849	3,714
Kage	50.05%	1,107	1,105	2,212
Vanessa	49.94%	857	859	1,716
Goh	49.44%	1,315	1,345	2,660
Brad	49.34%	818	840	1,658
Wolf	48.51%	2,021	2,145	4,166
El Blaze	48.48%	926	984	1,910
Jacky	47.78%	2,112	2,308	4,420
Jeffry	47.61%	1,365	1,502	2,867
Jean	46.28%	959	1,113	2,072
Taka	46.15%	449	524	973

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
Shun52.5%	50	49	55	54	56	49	48	59	51	51
Eileen52.2%	46	52	62	52	51	51	52	60	56	45
Lau52.2%	51	56	51	49	60	55	51	45	52	53
Akira52.0%	48	53	53	52	54	51	53	50	50	56
Aoi51.3%	48	57	48	57	48	49	47	53	50	51
Lion51.2%	52	52	53	48	57	50	55	50	49	48
Dural51.1%	48	50	50	44	47	68	75	42	35	62
Lei Fei50.8%	52	48	53	48	43	48	51	50	63	53
Pai50.2%	53	52	52	48	47	50	51	50	51	48
Kage50.0%	47	45	54	55	49	47	44	52	53	50
Vanessa49.9%	48	51	54	45	51	53	53	50	53	39
Goh49.4%	49	47	48	53	51	49	51	50	48	49
Brad49.3%	47	52	46	49	50	48	51	47	59	46
Wolf48.5%	49	49	52	50	48	44	46	52	46	45
El Blaze48.5%	44	54	49	51	57	44	47	39	47	54
Jacky47.8%	48	47	52	47	43	49	49	47	49	48
Jeffry47.6%	46	46	47	51	47	51	39	45	48	51
Jean46.3%	43	52	41	45	46	50	40	49	49	47
Taka46.1%	46	47	44	47	45	43	48	49	45	53

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 -1.1 to +1.4); 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
Shun52.5%	53	52
Eileen52.2%	54	49
Lau52.2%	51	56
Akira52.0%	51	54
Aoi51.3%	52	49
Lion51.2%	51	52
Dural51.1%	45	60
Lei Fei50.8%	52	48
Pai50.2%	51	48
Kage50.0%	51	49
Vanessa49.9%	50	48
Goh49.4%	49	50
Brad49.3%	50	48
Wolf48.5%	50	45
El Blaze48.5%	47	52
Jacky47.8%	48	47
Jeffry47.6%	47	50
Jean46.3%	46	48
Taka46.1%	46	47

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
Shun52.1%	51	49	54	54	53	50	50	56	52	51
Akira51.5%	50	52	52	52	53	51	52	50	50	53
Lau51.2%	51	54	50	49	55	51	51	48	51	52
Eileen50.9%	47	50	55	50	51	51	54	55	53	47
Lei Fei50.9%	53	51	50	49	47	50	52	50	58	50
Lion50.7%	52	51	52	49	54	49	51	51	49	49
Aoi50.7%	49	53	49	54	49	50	49	52	50	51
Pai50.1%	51	51	51	50	49	49	50	50	51	50
Kage50.1%	48	47	52	53	50	49	47	51	51	49
Vanessa50.0%	50	50	52	47	50	51	51	51	51	45
Dural49.8%	49	44	51	47	49	61	71	48	41	49
Goh49.8%	50	49	48	50	51	50	51	50	50	49
Brad49.6%	48	51	48	51	48	49	50	48	55	47
El Blaze49.4%	48	51	50	51	53	48	49	45	48	51
Wolf49.3%	50	50	51	51	50	46	48	51	48	48
Jacky49.0%	50	50	50	48	46	50	49	48	49	49
Jeffry48.6%	48	48	48	51	48	51	42	48	49	50
Jean47.6%	46	50	46	47	47	48	45	49	48	48
Taka47.3%	48	50	46	48	46	46	47	48	46	49

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.2 pts behind walls (95% interval -0.5 to +0.8); 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
Shun52.1%	53	51
Akira51.5%	51	53
Lau51.2%	50	53
Eileen50.9%	52	50
Lei Fei50.9%	52	49
Lion50.7%	51	51
Aoi50.7%	51	50
Pai50.1%	51	49
Kage50.1%	50	49
Vanessa50.0%	50	49
Dural49.8%	47	54
Goh49.8%	50	50
Brad49.6%	50	48
El Blaze49.4%	49	51
Wolf49.3%	50	48
Jacky49.0%	49	48
Jeffry48.6%	48	50
Jean47.6%	48	48
Taka47.3%	47	47

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	6.06%	7	16,499
North America	6.38%	6	12,213
South America	7.88%	4	14,495
Europe	7.77%	4	1,851
Oceania	4.02%	8	278
Middle East	0.00%	17	0
Not recorded	6.05%	6	6,952

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

Win rate49.9%

Standing#11 of 19 · tier B

Pick rate5.2%

Most picked#9 of 19

Matches counted39,002

Unique players246

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Lei Fei	53.10%	909	803	1,712
Jean	51.56%	1,237	1,162	2,399
Wolf	51.49%	1,260	1,187	2,447
Akira	50.81%	2,203	2,133	4,336
Jacky	50.69%	2,135	2,077	4,212
Vanessa	50.57%	748	731	1,479
Goh	50.43%	1,185	1,165	2,350
Dural	50.35%	217	214	431
Brad	50.05%	1,092	1,090	2,182
Lion	49.98%	1,033	1,034	2,067
Shun	49.63%	945	959	1,904
El Blaze	49.47%	742	758	1,500
Lau	49.46%	1,090	1,114	2,204
Pai	49.30%	918	944	1,862
Jeffry	47.72%	1,121	1,228	2,349
Aoi	47.63%	854	939	1,793
Taka	47.62%	310	341	651
Kage	46.95%	1,176	1,329	2,505
Eileen	45.72%	283	336	619

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
Lei Fei53.1%	56	57	57	54	51	48	51	55	47	55
Jean51.6%	56	48	56	54	50	50	56	52	48	51
Wolf51.5%	47	53	55	52	51	45	56	57	52	49
Akira50.8%	51	49	50	52	54	48	51	54	47	52
Jacky50.7%	50	53	45	52	52	53	52	52	50	48
Vanessa50.6%	47	53	51	57	46	48	48	56	51	47
Goh50.4%	52	51	48	50	46	55	56	52	49	48
Dural50.4%	36	51	57	50	52	57	72	51	39	51
Brad50.0%	50	50	52	52	50	53	47	42	51	53
Lion50.0%	46	56	47	53	49	46	52	58	49	46
Shun49.6%	48	50	55	47	47	51	52	55	48	47
El Blaze49.5%	52	47	42	49	53	49	50	50	50	52
Lau49.5%	52	48	49	59	43	50	47	49	49	50
Pai49.3%	49	55	47	50	52	55	47	50	41	53
Jeffry47.7%	44	44	53	42	50	50	47	46	46	48
Aoi47.6%	48	48	50	52	45	44	51	48	42	54
Taka47.6%	59	42	46	43	34	49	56	52	41	58
Kage47.0%	50	50	50	50	44	46	44	49	44	42
Eileen45.7%	50	46	38	42	44	45	45	44	48	53

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 -0.6 to +1.9); 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
Lei Fei53.1%	54	51
Jean51.6%	52	50
Wolf51.5%	53	48
Akira50.8%	50	51
Jacky50.7%	50	51
Vanessa50.6%	53	47
Goh50.4%	50	50
Dural50.4%	47	53
Brad50.0%	49	52
Lion50.0%	52	47
Shun49.6%	50	48
El Blaze49.5%	48	51
Lau49.5%	51	47
Pai49.3%	48	53
Jeffry47.7%	46	49
Aoi47.6%	48	48
Taka47.6%	47	48
Kage47.0%	49	44
Eileen45.7%	44	47

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
Lei Fei51.7%	52	53	53	53	51	49	50	53	49	53
Akira50.8%	51	50	50	52	52	49	51	52	49	51
Jean50.8%	53	50	53	52	51	50	54	50	48	50
Wolf50.8%	49	52	52	52	51	47	53	53	52	49
Shun50.7%	50	51	55	47	50	50	50	53	51	50
Dural50.6%	42	50	53	48	52	55	60	52	46	51
Vanessa50.5%	50	50	51	53	48	49	49	53	50	50
Brad50.5%	51	51	51	51	51	52	49	46	50	52
Jacky50.4%	50	52	48	50	52	51	51	51	50	49
Goh50.3%	51	51	49	50	48	53	53	51	49	50
Lion50.2%	48	54	49	52	50	48	51	55	49	47
El Blaze50.1%	51	48	46	50	52	50	50	50	51	52
Lau50.0%	51	50	50	55	47	49	48	51	49	50
Pai49.8%	50	53	48	50	51	52	50	50	47	51
Aoi48.8%	49	50	50	51	48	46	50	49	45	52
Taka48.7%	55	46	47	47	43	48	56	49	46	55
Jeffry48.7%	46	47	51	46	50	49	49	48	47	50
Kage48.4%	50	49	49	50	47	49	46	48	47	47
Eileen48.1%	52	49	46	47	46	48	47	47	47	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+0.2 pts behind walls (95% interval -0.4 to +0.9); within chance across the 20 characters tested, q=0.726

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Lei Fei51.7%	52	51
Akira50.8%	51	51
Jean50.8%	51	50
Wolf50.8%	52	49
Shun50.7%	51	50
Dural50.6%	49	53
Vanessa50.5%	51	49
Brad50.5%	50	51
Jacky50.4%	50	51
Goh50.3%	50	50
Lion50.2%	51	48
El Blaze50.1%	49	51
Lau50.0%	51	49
Pai49.8%	49	52
Aoi48.8%	49	49
Taka48.7%	48	49
Jeffry48.7%	48	50
Kage48.4%	49	48
Eileen48.1%	48	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	5.34%	9	27,140
South America	4.93%	11	6,629
North America	4.69%	9	3,989
Europe	6.01%	7	1,000
Middle East	0.00%	16	0
Oceania	0.00%	16	0
Not recorded	5.35%	7	2,416

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

Win rate46.2%

Standing#18 of 19 · tier D

Pick rate4.4%

Most picked#11 of 19

Matches counted5,764

Unique players24

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Vanessa	55.58%	214	171	385
Jacky	52.94%	297	264	561
Wolf	51.33%	116	110	226
Jean	51.11%	46	44	90
Lau	47.99%	227	246	473
Shun	47.87%	157	171	328
Akira	47.06%	288	324	612
Kage	46.56%	203	233	436
Brad	46.30%	125	145	270
Dural	45.00%	18	22	40
Aoi	43.81%	85	109	194
Pai	42.86%	81	108	189
Jeffry	42.22%	95	130	225
El Blaze	42.01%	163	225	388
Lion	41.86%	216	300	516
Lei Fei	40.79%	113	164	277
Goh	39.34%	83	128	211
Taka	39.25%	42	65	107
Eileen	38.98%	92	144	236

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
Vanessa55.6%	58	58	64	60	51	45	37	62	51	55
Jacky52.9%	48	65	56	61	44	36	55	62	53	50
Wolf51.3%	36	41	62	46	70	52	57	60	48	38
Jean51.1%	50	46	29	50	60	33	100	62	62	50
Lau48.0%	49	39	52	51	48	52	52	53	40	45
Shun47.9%	59	41	66	50	26	75	29	46	38	52
Akira47.1%	47	55	46	46	40	46	67	47	39	56
Kage46.6%	44	33	48	47	39	51	48	54	52	52
Brad46.3%	47	44	56	38	48	39	71	45	45	35
Dural45.0%	50	0	0	57	50	100	100	100	33	20
Aoi43.8%	46	57	46	38	57	29	50	38	11	52
Pai42.9%	46	48	44	50	30	45	43	38	38	40
Jeffry42.2%	54	47	47	44	42	25	25	71	33	34
El Blaze42.0%	65	41	53	42	35	23	36	52	44	35
Lion41.9%	45	37	45	44	49	50	47	41	38	36
Lei Fei40.8%	50	50	43	48	52	32	35	38	30	31
Goh39.3%	41	37	36	45	40	33	31	35	25	44
Taka39.2%	36	50	20	40	44	40	33	33	50	20
Eileen39.0%	24	39	28	45	42	37	36	35	41	48

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+3.4 pts behind walls (95% interval +0.1 to +6.7); within chance across the 20 characters tested, q=0.329

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Vanessa55.6%	59	51
Jacky52.9%	58	44
Wolf51.3%	50	55
Jean51.1%	52	45
Lau48.0%	47	48
Shun47.9%	49	51
Akira47.1%	46	46
Kage46.6%	46	47
Brad46.3%	46	41
Dural45.0%	43	45
Aoi43.8%	43	45
Pai42.9%	45	41
Jeffry42.2%	50	35
El Blaze42.0%	49	33
Lion41.9%	41	46
Lei Fei40.8%	43	38
Goh39.3%	38	40
Taka39.2%	39	32
Eileen39.0%	37	42

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Vanessa53.2%	55	55	57	58	49	47	45	56	51	52
Wolf51.8%	41	46	55	54	58	53	57	56	52	44
Jacky51.4%	49	56	53	55	49	45	51	57	51	48
Jean50.1%	43	50	43	46	54	39	60	59	55	46
Shun49.8%	57	47	60	50	39	64	36	49	47	52
Lau49.1%	53	45	51	52	47	51	53	49	46	47
Kage48.5%	46	44	48	50	45	50	49	50	51	53
Brad48.0%	48	52	53	43	47	45	63	47	42	45
Akira47.8%	46	53	46	46	46	47	58	48	44	50
Dural47.2%	47	0	33	54	56	60	86	64	45	37
Aoi46.8%	41	53	51	53	54	39	47	44	37	49
Lion45.7%	47	42	48	48	48	48	48	45	44	47
Pai45.5%	48	46	46	49	38	47	53	43	41	42
Goh45.3%	44	47	45	49	47	45	41	44	35	44
El Blaze45.3%	58	44	49	47	42	33	44	45	48	42
Lei Fei44.3%	49	51	46	49	49	40	39	47	33	38
Taka43.9%	42	50	38	47	43	48	42	33	48	30
Jeffry42.3%	48	44	45	44	41	31	22	56	38	40
Eileen41.1%	31	41	37	45	46	36	36	37	44	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+2.2 pts behind walls (95% interval +0.4 to +3.9); within chance across the 20 characters tested, q=0.281

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
Vanessa53.2%	55	49
Wolf51.8%	51	52
Jacky51.4%	54	47
Jean50.1%	51	45
Shun49.8%	51	52
Lau49.1%	49	48
Kage48.5%	48	49
Brad48.0%	48	46
Akira47.8%	47	47
Dural47.2%	46	49
Aoi46.8%	47	47
Lion45.7%	45	48
Pai45.5%	46	44
Goh45.3%	45	45
El Blaze45.3%	48	40
Lei Fei44.3%	46	42
Taka43.9%	45	39
Jeffry42.3%	46	39
Eileen41.1%	40	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	4.45%	11	5,408
North America	2.89%	11	155
Europe	8.58%	4	239
South America	0.00%	18	0
Not recorded	4.03%	9	168

Sarah

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