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

Win rate51.3%

Standing#4 of 19 · tier A

Pick rate5.2%

Most picked#11 of 19

Matches counted85,476

Unique players845

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Vanessa	54.24%	1,656	1,397	3,053
Jean	52.53%	2,191	1,980	4,171
Wolf	52.53%	2,939	2,656	5,595
Akira	52.46%	5,266	4,772	10,038
Goh	52.36%	2,425	2,206	4,631
Lei Fei	52.03%	1,590	1,466	3,056
Pai	52.01%	2,660	2,454	5,114
Aoi	51.96%	2,396	2,215	4,611
Shun	51.36%	2,565	2,429	4,994
Jacky	51.16%	4,382	4,184	8,566
Lion	50.86%	2,497	2,413	4,910
Jeffry	50.63%	2,491	2,429	4,920
Brad	50.08%	2,066	2,059	4,125
Eileen	49.83%	858	864	1,722
El Blaze	49.62%	1,693	1,719	3,412
Sarah	49.42%	2,460	2,518	4,978
Taka	49.40%	780	799	1,579
Kage	49.28%	2,634	2,711	5,345
Dural	47.26%	310	346	656

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

Stage Impact To Match WP

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

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

How significance is decided

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

Each matchup, stage by stage

Win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Vanessa54.2%	57	55	53	54	56	55	50	58	44	57
Jean52.5%	46	57	53	56	48	54	53	55	55	50
Wolf52.5%	52	55	51	55	47	52	53	55	57	49
Akira52.5%	54	52	54	50	50	52	56	53	51	55
Goh52.4%	52	54	51	52	52	47	58	56	54	49
Lei Fei52.0%	49	55	48	51	55	47	51	56	53	56
Pai52.0%	53	52	49	49	51	53	52	53	55	50
Aoi52.0%	55	60	53	47	51	48	53	51	54	47
Shun51.4%	54	52	47	52	51	53	54	51	51	51
Jacky51.2%	52	50	53	50	49	54	47	50	53	52
Lion50.9%	53	48	50	51	50	51	57	54	51	46
Jeffry50.6%	46	53	51	51	51	53	47	47	52	52
Brad50.1%	51	49	51	49	51	49	48	55	51	46
Eileen49.8%	51	43	54	43	50	48	52	58	54	46
El Blaze49.6%	49	51	55	47	51	48	51	46	47	50
Sarah49.4%	49	48	50	47	49	48	51	53	50	49
Taka49.4%	51	43	42	53	51	46	53	47	52	55
Kage49.3%	50	52	50	49	52	48	45	52	48	48
Dural47.3%	51	51	50	41	42	42	52	56	41	43

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+1.0 pts behind walls (95% interval -0.0 to +2.0); within chance across the 20 characters tested, q=0.153

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
Vanessa54.2%	53	56
Jean52.5%	53	51
Wolf52.5%	54	49
Akira52.5%	52	52
Goh52.4%	53	50
Lei Fei52.0%	52	52
Pai52.0%	52	52
Aoi52.0%	54	49
Shun51.4%	51	52
Jacky51.2%	51	52
Lion50.9%	51	49
Jeffry50.6%	50	52
Brad50.1%	51	49
Eileen49.8%	51	48
El Blaze49.6%	49	50
Sarah49.4%	49	49
Taka49.4%	48	51
Kage49.3%	50	49
Dural47.3%	48	43

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Vanessa52.3%	54	52	52	51	53	54	51	54	48	54
Shun51.7%	53	52	50	52	52	52	54	51	52	51
Jean51.7%	49	53	52	54	50	52	52	53	53	51
Wolf51.5%	51	52	51	53	49	51	52	53	53	50
Akira51.4%	52	51	52	50	50	51	53	52	51	52
Goh51.3%	51	52	51	52	51	49	54	53	52	49
Pai51.1%	52	52	50	50	51	51	51	52	52	49
Lei Fei51.1%	49	52	50	50	53	49	52	52	52	52
Aoi51.0%	53	53	53	49	51	49	51	50	52	49
Jacky50.5%	51	50	52	49	49	52	49	50	51	51
Lion50.4%	52	50	50	50	50	51	54	52	51	48
Jeffry50.4%	49	51	50	50	50	52	49	49	52	51
Brad50.4%	51	50	51	50	51	49	48	53	51	48
El Blaze49.8%	50	50	53	48	50	49	51	49	49	49
Eileen49.6%	50	45	51	45	51	47	51	54	52	48
Kage49.6%	51	50	50	49	51	49	47	51	49	49
Sarah49.5%	49	48	50	48	50	50	50	50	50	49
Taka49.5%	50	48	45	51	49	48	52	49	51	52
Dural48.9%	51	51	47	48	46	48	52	54	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+0.5 pts behind walls (95% interval +0.0 to +1.0); within chance across the 20 characters tested, q=0.121

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Vanessa52.3%	52	53
Shun51.7%	52	52
Jean51.7%	52	51
Wolf51.5%	52	50
Akira51.4%	51	51
Goh51.3%	52	50
Pai51.1%	51	51
Lei Fei51.1%	51	51
Aoi51.0%	52	50
Jacky50.5%	50	51
Lion50.4%	51	50
Jeffry50.4%	50	51
Brad50.4%	51	49
El Blaze49.8%	50	50
Eileen49.6%	50	49
Kage49.6%	50	50
Sarah49.5%	49	49
Taka49.5%	49	50
Dural48.9%	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	6.43%	3	58,082
North America	3.09%	16	8,704
South America	4.50%	11	14,373
Europe	5.13%	9	2,220
Oceania	13.08%	4	948
Middle East	0.00%	16	0
Not recorded	3.55%	15	5,837

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

Win rate50.8%

Standing#6 of 19 · tier A

Pick rate3.9%

Most picked#12 of 19

Matches counted30,074

Unique players612

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	53.74%	410	353	763
Akira	53.26%	2,271	1,993	4,264
Vanessa	53.02%	501	444	945
Wolf	52.55%	1,289	1,164	2,453
Aoi	52.42%	1,094	993	2,087
Eileen	51.53%	336	316	652
Goh	51.44%	785	741	1,526
Jacky	51.33%	1,501	1,423	2,924
Shun	51.30%	891	846	1,737
Pai	51.26%	1,078	1,025	2,103
El Blaze	50.21%	473	469	942
Jean	48.89%	570	596	1,166
Kage	48.85%	640	670	1,310
Taka	48.56%	253	268	521
Lion	48.54%	664	704	1,368
Jeffry	47.85%	844	920	1,764
Sarah	47.81%	1,100	1,201	2,301
Dural	47.01%	126	142	268
Brad	45.31%	444	536	980

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
Lei Fei53.7%	49	66	53	58	50	51	51	68	43	57
Akira53.3%	57	51	56	48	52	52	50	58	53	52
Vanessa53.0%	62	49	54	48	56	56	49	60	39	58
Wolf52.5%	50	54	53	54	49	50	57	55	59	43
Aoi52.4%	57	55	54	49	56	48	47	55	53	46
Eileen51.5%	51	54	53	47	55	40	54	63	53	47
Goh51.4%	53	46	44	53	48	51	62	59	52	49
Jacky51.3%	49	49	53	54	52	50	50	49	54	52
Shun51.3%	49	52	47	50	55	52	52	53	50	51
Pai51.3%	49	55	45	48	47	54	56	53	55	46
El Blaze50.2%	47	49	55	37	52	48	62	50	55	51
Jean48.9%	42	53	52	53	45	50	48	53	52	45
Kage48.9%	52	43	53	43	58	49	46	51	46	50
Taka48.6%	40	39	40	49	50	39	53	52	53	59
Lion48.5%	50	49	45	43	49	55	57	51	48	45
Jeffry47.9%	40	51	47	49	46	46	41	42	54	57
Sarah47.8%	49	44	49	51	40	45	49	55	48	47
Dural47.0%	50	47	48	35	50	34	62	59	50	41
Brad45.3%	47	39	44	51	42	44	45	49	51	37

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+1.5 pts behind walls (95% interval -0.1 to +3.1); within chance across the 20 characters tested, q=0.340

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 Fei53.7%	55	53
Akira53.3%	54	52
Vanessa53.0%	51	57
Wolf52.5%	54	47
Aoi52.4%	54	50
Eileen51.5%	54	47
Goh51.4%	51	49
Jacky51.3%	51	52
Shun51.3%	50	53
Pai51.3%	51	49
El Blaze50.2%	49	50
Jean48.9%	51	46
Kage48.9%	48	52
Taka48.6%	47	48
Lion48.5%	47	50
Jeffry47.9%	47	49
Sarah47.8%	49	44
Dural47.0%	48	40
Brad45.3%	47	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
Akira51.9%	53	51	54	50	51	51	50	54	52	51
Shun51.8%	50	52	49	51	54	52	53	53	52	51
Lei Fei51.6%	46	56	52	55	49	51	50	59	45	53
Vanessa51.5%	56	48	51	49	53	54	50	55	45	54
Wolf51.5%	50	52	51	53	50	49	54	53	54	47
Aoi51.2%	54	51	53	48	53	49	49	52	52	49
Eileen50.9%	52	50	52	49	53	44	51	58	51	48
Goh50.9%	51	48	47	52	50	50	56	55	52	48
Pai50.7%	50	52	47	49	49	53	52	53	51	48
Jacky50.5%	49	49	51	51	51	50	51	49	52	51
El Blaze50.0%	49	49	54	43	51	50	57	50	52	48
Kage49.4%	52	45	53	47	53	49	48	50	49	49
Jean49.4%	46	50	50	53	49	48	49	52	52	47
Taka49.1%	45	44	42	48	52	44	48	54	53	54
Jeffry49.0%	45	50	49	51	48	49	45	46	52	53
Sarah48.8%	49	46	50	51	45	49	49	52	49	48
Lion48.8%	50	49	46	46	49	53	53	49	49	46
Brad47.7%	50	45	47	50	45	45	48	51	51	44
Dural47.5%	50	46	45	41	47	45	56	54	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 -0.2 to +1.5); within chance across the 20 characters tested, q=0.436

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Akira51.9%	52	51
Shun51.8%	51	52
Lei Fei51.6%	52	51
Vanessa51.5%	50	54
Wolf51.5%	52	49
Aoi51.2%	52	50
Eileen50.9%	52	48
Goh50.9%	51	49
Pai50.7%	51	50
Jacky50.5%	50	51
El Blaze50.0%	49	50
Kage49.4%	49	50
Jean49.4%	50	48
Taka49.1%	48	49
Jeffry49.0%	49	50
Sarah48.8%	50	47
Lion48.8%	48	49
Brad47.7%	49	45
Dural47.5%	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	4.39%	11	11,966
North America	2.64%	14	5,048
South America	4.08%	13	7,512
Europe	6.65%	7	1,584
Oceania	13.10%	4	905
Middle East	0.00%	15	0
Not recorded	3.69%	15	4,247

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

Win rate50.8%

Standing#7 of 19 · tier A

Pick rate5.8%

Most picked#6 of 19

Matches counted43,108

Unique players334

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	53.37%	800	699	1,499
Wolf	52.65%	1,440	1,295	2,735
Jean	52.61%	1,401	1,262	2,663
Goh	52.04%	1,340	1,235	2,575
Lei Fei	51.94%	897	830	1,727
Akira	51.55%	2,396	2,252	4,648
Pai	51.18%	1,106	1,055	2,161
Jeffry	50.77%	1,417	1,374	2,791
Jacky	50.72%	2,183	2,121	4,304
Sarah	50.54%	1,114	1,090	2,204
Brad	50.46%	1,257	1,234	2,491
Shun	50.22%	1,268	1,257	2,525
Lion	50.09%	1,159	1,155	2,314
Aoi	49.53%	994	1,013	2,007
Eileen	49.01%	322	335	657
Dural	48.83%	167	175	342
El Blaze	48.72%	799	841	1,640
Taka	48.38%	374	399	773
Kage	48.33%	1,475	1,577	3,052

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
Vanessa53.4%	56	55	47	59	54	53	48	56	46	55
Wolf52.6%	54	54	49	57	46	55	53	53	54	52
Jean52.6%	47	57	50	55	48	54	54	55	55	52
Goh52.0%	50	57	54	49	54	46	57	52	54	51
Lei Fei51.9%	51	56	47	47	56	46	54	50	57	55
Akira51.5%	51	54	51	51	49	52	60	48	49	57
Pai51.2%	53	47	54	48	55	52	48	50	53	51
Jeffry50.8%	50	51	52	49	53	55	50	48	51	49
Jacky50.7%	50	48	53	48	46	60	45	50	51	54
Sarah50.5%	48	52	51	41	57	50	53	51	51	50
Brad50.5%	51	50	52	47	56	50	46	53	53	46
Shun50.2%	56	50	47	52	49	48	50	48	51	51
Lion50.1%	52	45	49	54	52	45	59	50	51	46
Aoi49.5%	50	63	52	44	43	45	53	46	53	47
Eileen49.0%	51	45	50	43	43	54	50	52	59	44
Dural48.8%	54	54	54	46	39	55	43	56	42	42
El Blaze48.7%	51	55	51	50	51	41	47	42	45	51
Taka48.4%	56	45	41	56	42	45	58	48	47	54
Kage48.3%	47	54	48	48	49	45	45	51	50	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+0.3 pts behind walls (95% interval -0.9 to +1.5); 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 Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Vanessa53.4%	53	54
Wolf52.6%	53	51
Jean52.6%	53	51
Goh52.0%	53	50
Lei Fei51.9%	52	52
Akira51.5%	51	52
Pai51.2%	51	53
Jeffry50.8%	50	52
Jacky50.7%	50	54
Sarah50.5%	49	53
Brad50.5%	51	51
Shun50.2%	51	50
Lion50.1%	50	48
Aoi49.5%	52	45
Eileen49.0%	50	46
Dural48.8%	51	44
El Blaze48.7%	49	48
Taka48.4%	49	46
Kage48.3%	50	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
Vanessa51.9%	54	52	49	52	52	52	50	54	48	53
Jean51.9%	49	53	51	53	50	53	53	53	53	52
Wolf51.8%	52	52	50	55	48	52	52	52	52	52
Lei Fei51.3%	51	53	49	49	53	49	54	49	55	52
Goh51.1%	51	53	53	50	51	49	53	51	52	50
Shun51.0%	53	51	49	52	51	50	52	50	52	51
Dural50.9%	53	55	49	52	47	52	47	55	49	48
Akira50.8%	51	52	51	51	48	51	55	49	50	53
Pai50.6%	50	49	53	49	53	49	49	50	53	50
Brad50.5%	50	51	52	49	54	50	47	52	51	47
Jacky50.5%	50	50	52	49	48	55	48	50	50	52
Jeffry50.4%	51	50	50	49	50	53	51	50	51	50
Lion50.1%	51	49	50	51	51	48	54	50	50	48
Sarah50.0%	49	50	50	45	53	51	52	49	51	50
Aoi49.8%	51	55	52	47	46	48	50	48	51	49
El Blaze49.6%	51	52	52	50	51	46	49	48	48	50
Eileen49.0%	49	47	49	44	47	50	49	49	56	46
Kage49.0%	49	51	49	48	50	48	47	51	49	49
Taka48.9%	52	49	46	52	44	48	57	46	48	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 +0.8); 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
Vanessa51.9%	52	52
Jean51.9%	52	52
Wolf51.8%	52	51
Lei Fei51.3%	51	51
Goh51.1%	52	50
Shun51.0%	51	51
Dural50.9%	52	49
Akira50.8%	51	51
Pai50.6%	51	51
Brad50.5%	51	51
Jacky50.5%	50	52
Jeffry50.4%	50	51
Lion50.1%	50	49
Sarah50.0%	49	51
Aoi49.8%	51	48
El Blaze49.6%	50	49
Eileen49.0%	49	48
Kage49.0%	49	49
Taka48.9%	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	6.56%	5	33,386
South America	5.10%	10	6,860
North America	3.98%	14	3,382
Europe	2.62%	13	436
Middle East	0.00%	14	0
Oceania	12.61%	3	43
Not recorded	3.42%	14	1,547

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

Win rate54.3%

Standing#2 of 19 · tier S

Pick rate9.8%

Most picked#1 of 19

Matches counted12,294

Unique players63

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jean	64.33%	220	122	342
Jeffry	63.01%	230	135	365
Aoi	59.57%	308	209	517
Vanessa	58.29%	355	254	609
Goh	56.60%	300	230	530
Pai	56.00%	476	374	850
Brad	55.81%	365	289	654
Shun	55.46%	406	326	732
Lion	54.89%	674	554	1,228
Taka	53.68%	153	132	285
Akira	53.20%	599	527	1,126
Kage	52.80%	519	464	983
Jacky	52.17%	698	640	1,338
Sarah	52.01%	246	227	473
Wolf	51.60%	210	197	407
El Blaze	50.72%	421	409	830
Lei Fei	50.00%	283	283	566
Eileen	48.43%	200	213	413
Dural	36.96%	17	29	46

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
Jean64.3%	67	68	67	68	57	62	69	64	59	58
Jeffry63.0%	52	69	58	74	61	69	62	69	53	57
Aoi59.6%	69	64	56	55	64	58	76	61	58	52
Vanessa58.3%	52	64	70	49	66	60	55	59	50	62
Goh56.6%	59	60	58	67	56	43	52	63	57	44
Pai56.0%	64	63	42	52	50	56	51	57	57	60
Brad55.8%	53	63	58	59	43	51	60	69	47	61
Shun55.5%	61	59	51	57	50	69	66	54	51	50
Lion54.9%	58	54	60	55	46	58	56	65	54	47
Taka53.7%	60	41	52	52	72	67	17	38	65	53
Akira53.2%	57	48	52	48	50	57	63	56	54	52
Kage52.8%	57	58	50	62	52	56	44	54	45	48
Jacky52.2%	62	58	53	46	52	43	45	53	59	45
Sarah52.0%	51	61	48	49	52	48	48	47	60	55
Wolf51.6%	49	71	52	42	43	45	35	60	57	58
El Blaze50.7%	48	46	62	53	49	61	46	50	45	48
Lei Fei50.0%	41	42	45	49	59	43	36	64	55	54
Eileen48.4%	50	31	67	34	56	52	53	58	45	48
Dural37.0%	33	60	33	0	25	50	100	0	17	67

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+2.1 pts behind walls (95% interval -0.1 to +4.4); 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
Jean64.3%	66	59
Jeffry63.0%	63	62
Aoi59.6%	60	58
Vanessa58.3%	57	62
Goh56.6%	61	48
Pai56.0%	56	55
Brad55.8%	58	52
Shun55.5%	55	56
Lion54.9%	58	51
Taka53.7%	51	64
Akira53.2%	53	53
Kage52.8%	54	52
Jacky52.2%	55	46
Sarah52.0%	53	52
Wolf51.6%	54	49
El Blaze50.7%	50	53
Lei Fei50.0%	49	52
Eileen48.4%	47	53
Dural37.0%	29	44

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Jean58.4%	62	63	58	60	53	58	63	57	55	57
Jeffry56.5%	55	55	55	63	54	58	54	59	52	54
Aoi54.8%	56	57	53	53	56	54	63	56	54	51
Vanessa54.7%	51	57	63	51	58	56	53	53	52	56
Shun54.0%	59	57	52	54	51	62	61	52	50	51
Brad53.5%	53	58	56	56	45	51	54	60	50	56
Pai53.5%	59	58	48	52	51	52	55	53	54	53
Goh53.4%	54	55	51	61	52	48	51	55	56	48
Lion52.9%	56	52	54	53	48	54	55	57	54	48
Akira52.1%	54	50	51	51	50	53	58	54	51	51
Taka52.0%	55	49	49	55	59	59	29	46	57	49
Kage51.6%	53	54	51	55	51	53	46	54	50	50
Sarah50.9%	47	55	49	48	53	49	47	51	54	53
Jacky50.9%	55	52	51	48	50	47	49	52	54	48
Wolf50.4%	51	57	51	41	46	49	46	54	53	54
El Blaze50.0%	49	47	56	50	49	53	48	50	48	50
Lei Fei49.9%	44	46	49	49	55	46	44	56	53	52
Eileen48.6%	49	39	55	42	55	49	54	52	47	50
Dural42.8%	38	62	43	40	33	62	100	0	35	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+1.2 pts behind walls (95% interval +0.0 to +2.5); 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
Jean58.4%	59	56
Jeffry56.5%	57	56
Aoi54.8%	55	54
Vanessa54.7%	54	57
Shun54.0%	54	54
Brad53.5%	55	51
Pai53.5%	54	52
Goh53.4%	55	50
Lion52.9%	54	50
Akira52.1%	52	52
Taka52.0%	52	55
Kage51.6%	53	51
Sarah50.9%	51	52
Jacky50.9%	52	48
Wolf50.4%	51	50
El Blaze50.0%	50	50
Lei Fei49.9%	49	51
Eileen48.6%	47	51
Dural42.8%	40	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	10.48%	1	12,730
North America	5.10%	9	274
Europe	7.18%	5	200
South America	0.14%	12	1
Not recorded	1.03%	16	43

Lau

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