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

Win rate51.0%

Standing#7 of 19 · tier A

Pick rate5.6%

Most picked#7 of 19

Matches counted91,117

Unique players980

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	53.94%	2,948	2,517	5,465
Akira	52.88%	5,927	5,281	11,208
Lei Fei	52.72%	1,689	1,515	3,204
Sarah	52.56%	2,860	2,581	5,441
Wolf	52.05%	3,622	3,337	6,959
Pai	51.97%	2,740	2,532	5,272
Lion	51.72%	2,315	2,161	4,476
Goh	50.90%	2,628	2,535	5,163
Jacky	50.64%	4,602	4,485	9,087
El Blaze	50.63%	1,676	1,634	3,310
Shun	49.99%	2,559	2,560	5,119
Jean	49.54%	2,301	2,344	4,645
Lau	49.37%	2,429	2,491	4,920
Kage	49.30%	2,548	2,620	5,168
Dural	49.25%	396	408	804
Taka	48.83%	750	786	1,536
Brad	47.93%	1,973	2,143	4,116
Eileen	47.92%	840	913	1,753
Vanessa	47.51%	1,649	1,822	3,471

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
Aoi53.9%	54	53	53	55	57	50	59	51	57	50
Akira52.9%	53	53	51	51	55	54	54	54	53	51
Lei Fei52.7%	48	59	50	53	51	45	58	58	55	53
Sarah52.6%	55	55	51	53	52	50	57	53	53	51
Wolf52.0%	55	51	51	52	51	51	53	54	53	53
Pai52.0%	52	51	48	52	52	51	55	55	55	53
Lion51.7%	55	51	49	56	54	51	54	48	56	46
Goh50.9%	53	51	56	53	50	48	48	47	54	49
Jacky50.6%	52	54	49	51	51	47	52	52	50	49
El Blaze50.6%	50	51	52	48	47	53	51	54	49	48
Shun50.0%	49	49	55	50	47	49	49	52	51	49
Jean49.5%	48	54	48	46	53	51	47	49	54	47
Lau49.4%	54	47	49	49	49	47	53	53	48	48
Kage49.3%	50	47	51	50	52	47	51	49	48	47
Dural49.2%	57	50	43	52	52	49	56	45	42	51
Taka48.8%	48	46	49	47	46	54	58	53	49	44
Brad47.9%	47	50	48	45	47	48	46	47	52	47
Eileen47.9%	51	46	55	51	50	41	47	52	41	43
Vanessa47.5%	49	51	45	50	44	47	44	50	51	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+1.4 pts behind walls (95% interval +0.4 to +2.4); within chance across the 20 characters tested, q=0.052

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
Aoi53.9%	54	53
Akira52.9%	52	54
Lei Fei52.7%	54	50
Sarah52.6%	53	51
Wolf52.0%	53	52
Pai52.0%	52	52
Lion51.7%	52	50
Goh50.9%	52	49
Jacky50.6%	51	49
El Blaze50.6%	50	50
Shun50.0%	51	48
Jean49.5%	50	50
Lau49.4%	50	48
Kage49.3%	49	49
Dural49.2%	48	51
Taka48.8%	49	47
Brad47.9%	48	47
Eileen47.9%	49	45
Vanessa47.5%	49	45

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
Aoi52.4%	52	52	52	53	54	51	55	52	54	50
Akira51.8%	52	52	51	51	53	52	52	52	52	51
Sarah51.6%	53	53	51	51	51	50	55	52	52	51
Lei Fei51.4%	49	54	50	51	50	49	54	54	52	52
Wolf51.2%	52	52	50	52	50	51	52	52	52	52
Lion51.1%	52	52	50	53	53	51	52	49	53	48
Shun50.8%	51	50	54	51	49	50	51	52	51	50
Pai50.7%	51	50	50	51	51	50	52	52	52	50
Jacky50.5%	51	52	49	50	50	49	52	51	50	50
Goh50.4%	51	51	53	51	50	49	49	48	52	50
El Blaze50.3%	49	50	51	49	48	50	51	52	50	49
Kage49.8%	50	49	50	50	51	48	50	49	50	49
Jean49.7%	49	52	49	48	52	51	48	50	51	48
Lau49.6%	51	49	50	50	50	48	51	51	48	49
Dural49.4%	53	49	47	51	52	50	54	48	46	49
Eileen49.3%	51	49	52	50	50	47	48	52	46	47
Taka48.9%	49	48	48	47	48	52	53	52	49	47
Brad48.8%	48	50	49	47	48	50	48	48	51	48
Vanessa48.6%	50	51	47	50	47	48	47	50	49	47

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 +0.2 to +1.2); holds up against the 20 characters tested, q=0.039

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
Aoi52.4%	52	52
Akira51.8%	52	52
Sarah51.6%	52	51
Lei Fei51.4%	52	50
Wolf51.2%	52	51
Lion51.1%	52	50
Shun50.8%	51	50
Pai50.7%	51	50
Jacky50.5%	51	50
Goh50.4%	51	50
El Blaze50.3%	50	49
Kage49.8%	50	49
Jean49.7%	50	50
Lau49.6%	50	49
Dural49.4%	49	51
Eileen49.3%	50	48
Taka48.9%	49	48
Brad48.8%	49	48
Vanessa48.6%	49	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	5.77%	6	52,087
North America	5.03%	9	14,165
South America	5.37%	9	17,138
Europe	6.70%	6	2,897
Oceania	0.06%	18	4
Middle East	0.91%	5	19
Not recorded	6.27%	4	10,295

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

Win rate51.5%

Standing#3 of 19 · tier A

Pick rate5.7%

Most picked#8 of 19

Matches counted42,470

Unique players759

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	54.57%	1,778	1,480	3,258
Akira	54.28%	3,104	2,615	5,719
Lion	53.09%	995	879	1,874
Wolf	52.96%	2,066	1,835	3,901
Sarah	52.39%	1,502	1,365	2,867
Lau	52.15%	920	844	1,764
Pai	51.55%	1,527	1,435	2,962
Goh	50.92%	1,193	1,150	2,343
Kage	50.78%	941	912	1,853
Shun	50.48%	1,204	1,181	2,385
El Blaze	50.16%	768	763	1,531
Jacky	50.04%	2,060	2,057	4,117
Lei Fei	49.96%	576	577	1,153
Taka	49.53%	367	374	741
Brad	49.00%	684	712	1,396
Eileen	48.99%	487	507	994
Vanessa	47.77%	729	797	1,526
Jean	46.07%	827	968	1,795
Dural	43.99%	128	163	291

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
Aoi54.6%	56	54	53	58	56	50	59	53	53	53
Akira54.3%	52	56	53	51	56	57	56	55	57	52
Lion53.1%	53	54	50	57	57	54	58	51	56	45
Wolf53.0%	58	53	51	51	52	51	53	55	53	53
Sarah52.4%	54	54	53	49	53	49	61	55	52	49
Lau52.1%	60	49	53	51	54	54	59	58	46	43
Pai51.5%	54	52	46	49	49	50	54	54	56	54
Goh50.9%	48	52	53	55	50	47	48	51	54	49
Kage50.8%	59	46	51	58	51	48	56	47	47	45
Shun50.5%	49	47	53	51	50	50	53	52	54	47
El Blaze50.2%	49	47	51	47	45	55	49	57	49	51
Jacky50.0%	49	53	51	52	48	44	48	52	52	49
Lei Fei50.0%	46	56	47	47	50	41	53	55	52	49
Taka49.5%	48	40	49	49	48	55	60	58	49	47
Brad49.0%	46	49	48	53	46	50	46	51	47	48
Eileen49.0%	51	47	54	53	56	48	49	53	40	40
Vanessa47.8%	48	57	45	53	43	44	44	48	51	40
Jean46.1%	41	51	43	43	55	43	46	47	49	45
Dural44.0%	47	48	26	52	56	37	60	42	33	50

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+1.7 pts behind walls (95% interval +0.3 to +3.0); within chance across the 20 characters tested, q=0.178

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
Aoi54.6%	55	53
Akira54.3%	54	55
Lion53.1%	53	52
Wolf53.0%	54	52
Sarah52.4%	53	50
Lau52.1%	53	51
Pai51.5%	52	51
Goh50.9%	52	49
Kage50.8%	51	48
Shun50.5%	51	49
El Blaze50.2%	50	51
Jacky50.0%	51	47
Lei Fei50.0%	51	47
Taka49.5%	50	50
Brad49.0%	49	48
Eileen49.0%	50	48
Vanessa47.8%	51	42
Jean46.1%	46	48
Dural44.0%	41	49

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
Aoi52.7%	53	52	52	55	53	51	56	52	52	52
Akira52.5%	51	53	52	51	53	53	53	53	53	52
Wolf52.0%	54	53	51	52	51	51	52	53	52	52
Lion51.5%	50	53	51	53	54	52	54	49	54	47
Sarah51.4%	52	52	52	49	52	49	58	52	51	50
Shun51.1%	50	49	53	51	51	51	52	51	53	50
Lau51.0%	55	50	51	49	52	51	55	54	48	47
Kage50.6%	55	48	51	53	51	48	52	48	50	49
Pai50.4%	52	50	48	50	50	49	53	51	52	51
Goh50.4%	49	51	52	52	50	49	49	50	52	50
El Blaze50.3%	49	48	51	49	48	51	50	54	50	51
Taka50.1%	50	45	48	48	51	54	56	55	50	49
Jacky50.1%	50	51	50	50	49	47	50	51	51	50
Eileen49.7%	51	49	52	51	53	49	49	53	45	44
Lei Fei49.6%	48	51	49	48	50	47	50	52	50	49
Brad49.1%	48	50	48	51	47	50	46	51	49	49
Vanessa49.0%	50	55	47	52	47	46	49	49	49	45
Jean47.7%	45	49	45	46	52	49	46	48	50	47
Dural46.9%	49	46	40	51	52	45	55	45	44	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+0.8 pts behind walls (95% interval +0.1 to +1.5); within chance across the 20 characters tested, q=0.253

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
Aoi52.7%	53	52
Akira52.5%	52	53
Wolf52.0%	52	51
Lion51.5%	52	51
Sarah51.4%	52	50
Shun51.1%	51	51
Lau51.0%	51	50
Kage50.6%	51	49
Pai50.4%	51	50
Goh50.4%	51	50
El Blaze50.3%	50	50
Taka50.1%	50	51
Jacky50.1%	51	49
Eileen49.7%	50	49
Lei Fei49.6%	50	49
Brad49.1%	49	49
Vanessa49.0%	50	46
Jean47.7%	47	49
Dural46.9%	46	50

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	6.58%	5	17,921
North America	5.68%	8	10,870
South America	4.26%	11	7,836
Europe	4.60%	10	1,096
Oceania	0.06%	18	4
Middle East	0.00%	13	0
Not recorded	6.25%	5	7,185

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

Win rate50.9%

Standing#6 of 19 · tier A

Pick rate6.0%

Most picked#5 of 19

Matches counted44,875

Unique players379

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	55.09%	1,012	825	1,837
Aoi	53.49%	1,112	967	2,079
Dural	52.74%	250	224	474
Pai	52.54%	1,119	1,011	2,130
Sarah	52.28%	1,228	1,121	2,349
Akira	52.00%	2,689	2,482	5,171
Jean	51.78%	1,425	1,327	2,752
Jacky	51.63%	2,439	2,285	4,724
El Blaze	51.52%	832	783	1,615
Wolf	51.24%	1,486	1,414	2,900
Goh	50.41%	1,366	1,344	2,710
Shun	49.94%	1,267	1,270	2,537
Lion	49.74%	1,143	1,155	2,298
Lau	49.23%	1,374	1,417	2,791
Taka	49.03%	352	366	718
Kage	48.57%	1,462	1,548	3,010
Vanessa	48.56%	824	873	1,697
Eileen	48.15%	312	336	648
Brad	47.06%	1,146	1,289	2,435

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 Fei55.1%	50	63	52	58	50	49	63	60	57	58
Aoi53.5%	52	53	52	52	59	53	58	50	62	46
Dural52.7%	67	48	51	58	42	58	54	47	55	52
Pai52.5%	48	49	49	54	57	51	56	57	53	53
Sarah52.3%	56	56	47	58	50	50	53	54	54	52
Akira52.0%	54	50	48	51	55	52	53	54	51	52
Jean51.8%	53	55	51	49	52	55	48	50	57	48
Jacky51.6%	55	55	47	51	54	50	56	52	49	50
El Blaze51.5%	51	54	53	47	51	52	56	54	51	45
Wolf51.2%	51	48	51	53	49	52	53	52	53	54
Goh50.4%	55	50	58	51	50	49	48	44	53	48
Shun49.9%	50	52	55	52	45	49	45	52	48	51
Lion49.7%	56	48	47	57	50	47	51	47	55	45
Lau49.2%	50	49	48	51	47	45	50	52	49	51
Taka49.0%	47	52	51	47	42	52	59	49	48	40
Kage48.6%	47	49	51	45	53	46	47	50	50	46
Vanessa48.6%	51	45	47	50	47	51	45	51	51	48
Eileen48.1%	54	46	61	49	47	36	50	49	43	48
Brad47.1%	48	51	46	41	45	47	45	47	54	47

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+1.2 pts behind walls (95% interval +0.0 to +2.4); within chance across the 20 characters tested, q=0.181

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 Fei55.1%	57	52
Aoi53.5%	54	52
Dural52.7%	54	51
Pai52.5%	52	54
Sarah52.3%	54	51
Akira52.0%	51	53
Jean51.8%	53	52
Jacky51.6%	51	51
El Blaze51.5%	51	49
Wolf51.2%	51	52
Goh50.4%	52	49
Shun49.9%	51	48
Lion49.7%	51	47
Lau49.2%	50	48
Taka49.0%	49	45
Kage48.6%	48	48
Vanessa48.6%	49	49
Eileen48.1%	50	43
Brad47.1%	48	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
Lei Fei52.8%	50	57	51	55	49	51	56	55	53	55
Aoi52.4%	51	52	52	51	55	53	54	52	56	49
Akira51.3%	52	50	50	50	53	51	52	52	50	51
Sarah51.3%	54	53	49	54	50	51	51	52	53	50
Jacky51.1%	52	53	49	50	53	50	54	51	50	50
Dural51.0%	57	48	50	54	47	54	53	50	52	49
Pai51.0%	48	50	52	52	53	50	51	52	53	51
Jean50.9%	52	53	50	50	51	52	49	51	52	49
Shun50.9%	51	51	54	51	49	51	49	52	49	51
Wolf50.5%	50	49	50	51	49	51	52	52	52	52
El Blaze50.5%	50	51	52	49	49	50	53	52	50	47
Goh50.2%	52	50	53	50	51	49	48	47	52	49
Lion50.1%	53	50	48	54	51	49	51	48	53	48
Lau49.6%	49	50	50	51	50	47	49	50	49	50
Eileen49.5%	53	49	55	49	48	45	48	50	46	50
Kage49.3%	48	50	50	48	51	47	49	50	50	48
Vanessa49.1%	50	48	49	49	47	51	46	50	50	50
Brad48.3%	48	51	48	46	47	49	49	48	52	47
Taka48.1%	47	51	49	48	44	48	53	49	48	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+0.6 pts behind walls (95% interval -0.0 to +1.2); within chance across the 20 characters tested, q=0.214

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 Fei52.8%	53	52
Aoi52.4%	52	52
Akira51.3%	51	52
Sarah51.3%	52	50
Jacky51.1%	51	51
Dural51.0%	52	50
Pai51.0%	51	51
Jean50.9%	51	51
Shun50.9%	51	50
Wolf50.5%	51	50
El Blaze50.5%	51	49
Goh50.2%	51	50
Lion50.1%	51	49
Lau49.6%	50	49
Eileen49.5%	50	48
Kage49.3%	49	49
Vanessa49.1%	49	49
Brad48.3%	49	48
Taka48.1%	49	45

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	6.13%	6	31,170
South America	6.91%	4	9,302
North America	3.80%	15	3,233
Europe	8.46%	4	1,407
Middle East	1.87%	4	19
Oceania	0.00%	14	0
Not recorded	6.11%	5	2,758

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

Win rate46.6%

Standing#16 of 19 · tier C

Pick rate2.8%

Most picked#17 of 19

Matches counted3,772

Unique players48

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Goh	62.73%	69	41	110
Lion	58.22%	177	127	304
Sarah	57.78%	130	95	225
Pai	52.22%	94	86	180
Brad	50.18%	143	142	285
Jean	50.00%	49	49	98
Kage	47.54%	145	160	305
Lei Fei	47.20%	101	113	214
El Blaze	46.34%	76	88	164
Dural	46.15%	18	21	39
Aoi	45.31%	58	70	128
Shun	44.67%	88	109	197
Wolf	44.30%	70	88	158
Akira	42.14%	134	184	318
Jacky	41.87%	103	143	246
Taka	40.26%	31	46	77
Vanessa	38.71%	96	152	248
Lau	36.99%	135	230	365
Eileen	36.94%	41	70	111

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
Goh62.7%	80	62	58	64	56	60	100	60	80	50
Lion58.2%	60	67	60	50	69	63	54	50	58	55
Sarah57.8%	46	53	53	56	58	75	75	29	67	66
Pai52.2%	53	50	62	62	52	50	50	59	50	40
Brad50.2%	42	43	69	43	58	47	60	24	62	50
Jean50.0%	31	33	70	0	56	60	50	58	47	50
Kage47.5%	33	27	50	54	63	43	50	52	41	63
Lei Fei47.2%	48	44	50	38	59	19	44	56	55	42
El Blaze46.3%	46	62	52	55	35	33	20	25	43	64
Dural46.1%	0	67	40	17	100	0	100	·	0	·
Aoi45.3%	47	36	67	40	64	31	50	33	55	50
Shun44.7%	50	47	73	11	36	29	50	53	57	29
Wolf44.3%	60	40	50	33	47	30	50	54	45	42
Akira42.1%	46	41	49	45	50	19	44	38	37	39
Jacky41.9%	58	48	44	37	32	33	64	40	38	42
Taka40.3%	71	38	17	33	46	60	33	33	50	29
Vanessa38.7%	29	48	32	30	31	48	38	52	50	25
Lau37.0%	48	31	42	26	39	31	38	31	47	43
Eileen36.9%	33	41	36	46	17	0	0	56	40	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+0.4 pts behind walls (95% interval -3.7 to +4.4); within chance across the 20 characters tested, q=0.868

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Goh62.7%	67	55
Lion58.2%	56	62
Sarah57.8%	50	65
Pai52.2%	56	47
Brad50.2%	48	51
Jean50.0%	46	55
Kage47.5%	44	55
Lei Fei47.2%	48	42
El Blaze46.3%	48	42
Dural46.1%	35	67
Aoi45.3%	45	49
Shun44.7%	51	32
Wolf44.3%	48	39
Akira42.1%	43	39
Jacky41.9%	43	37
Taka40.3%	39	44
Vanessa38.7%	41	35
Lau37.0%	37	38
Eileen36.9%	41	29

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
Sarah57.7%	52	56	55	56	59	69	78	44	62	60
Goh57.2%	67	63	54	55	61	57	67	50	59	47
Lion56.8%	59	69	59	49	64	60	51	51	57	53
Brad52.4%	50	51	63	46	60	51	54	35	60	50
Jean50.6%	43	42	59	19	56	58	56	55	44	54
Pai49.9%	51	53	49	52	49	50	54	59	49	44
Kage49.5%	42	40	47	56	57	46	48	52	48	59
El Blaze49.4%	52	57	50	52	43	40	46	42	48	57
Lei Fei49.3%	48	45	51	43	58	36	52	55	49	47
Dural47.7%	0	74	40	20	100	14	75	·	0	·
Aoi47.1%	47	42	57	41	57	45	50	44	51	50
Akira46.6%	50	48	49	49	50	28	51	43	47	43
Wolf46.5%	51	45	51	41	43	38	47	52	50	47
Shun46.5%	52	51	62	26	42	35	53	48	54	35
Jacky45.3%	55	48	46	44	37	40	54	45	46	45
Taka44.9%	55	47	33	40	45	55	43	44	47	41
Eileen43.7%	41	44	40	46	35	31	14	55	49	51
Lau43.5%	45	45	45	37	46	42	46	41	48	46
Vanessa43.1%	39	49	40	35	42	46	44	52	48	33

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.4 pts behind walls (95% interval -1.8 to +2.6); within chance across the 20 characters tested, q=0.771

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Sarah57.7%	54	61
Goh57.2%	59	54
Lion56.8%	56	58
Brad52.4%	51	54
Jean50.6%	48	56
Pai49.9%	52	47
Kage49.5%	48	53
El Blaze49.4%	51	46
Lei Fei49.3%	48	48
Dural47.7%	34	68
Aoi47.1%	46	51
Akira46.6%	48	43
Wolf46.5%	49	43
Shun46.5%	51	39
Jacky45.3%	46	41
Taka44.9%	45	46
Eileen43.7%	45	43
Lau43.5%	43	44
Vanessa43.1%	44	40

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	2.47%	17	2,996
North America	1.15%	17	62
Europe	14.15%	2	394
South America	0.00%	17	0
Not recorded	8.45%	3	352

Jeffry

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