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

Win rate49.1%

Standing#17 of 19 · tier C

Pick rate5.2%

Most picked#10 of 19

Matches counted86,158

Unique players871

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	51.05%	3,093	2,966	6,059
Shun	50.65%	2,375	2,314	4,689
Akira	50.64%	5,439	5,302	10,741
Sarah	50.53%	2,638	2,583	5,221
Aoi	50.32%	2,492	2,460	4,952
Jacky	49.64%	4,392	4,455	8,847
Pai	49.13%	2,432	2,518	4,950
Jeffry	49.10%	2,535	2,628	5,163
Brad	49.07%	1,952	2,026	3,978
Kage	48.45%	2,278	2,424	4,702
Lion	48.45%	2,190	2,330	4,520
Vanessa	48.22%	1,406	1,510	2,916
Dural	47.83%	407	444	851
Lau	47.64%	2,206	2,425	4,631
Lei Fei	47.42%	1,416	1,570	2,986
Eileen	46.88%	760	861	1,621
El Blaze	46.57%	1,577	1,809	3,386
Jean	46.40%	2,039	2,355	4,394
Taka	43.91%	681	870	1,551

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
Wolf51.0%	54	52	51	49	52	54	51	50	49	50
Shun50.6%	50	49	51	53	51	50	48	49	52	54
Akira50.6%	50	50	52	49	52	52	51	50	47	51
Sarah50.5%	50	52	53	49	51	48	48	49	52	52
Aoi50.3%	54	52	51	49	51	51	47	50	47	52
Jacky49.6%	50	46	50	47	48	51	51	51	49	52
Pai49.1%	47	48	48	48	46	51	49	48	49	55
Jeffry49.1%	47	49	44	47	50	52	52	53	46	51
Brad49.1%	44	48	42	53	52	49	48	53	50	51
Kage48.5%	45	52	45	44	47	48	54	46	50	49
Lion48.5%	47	53	52	47	51	46	46	48	51	43
Vanessa48.2%	48	49	46	46	48	47	47	47	48	52
Dural47.8%	54	47	38	50	49	41	57	54	47	51
Lau47.6%	48	46	49	48	48	53	42	44	46	51
Lei Fei47.4%	47	43	47	50	47	49	52	44	49	48
Eileen46.9%	45	54	48	43	44	51	42	52	45	41
El Blaze46.6%	46	42	48	46	52	48	47	46	45	46
Jean46.4%	49	48	44	47	47	46	49	44	45	49
Taka43.9%	45	40	41	46	46	38	50	42	42	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-1.4 pts behind walls (95% interval -2.4 to -0.4); 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
Wolf51.0%	51	52
Shun50.6%	51	51
Akira50.6%	50	52
Sarah50.5%	51	51
Aoi50.3%	50	51
Jacky49.6%	49	51
Pai49.1%	48	51
Jeffry49.1%	48	51
Brad49.1%	49	51
Kage48.5%	47	48
Lion48.5%	50	47
Vanessa48.2%	47	49
Dural47.8%	48	47
Lau47.6%	47	50
Lei Fei47.4%	47	48
Eileen46.9%	48	45
El Blaze46.6%	45	49
Jean46.4%	46	48
Taka43.9%	43	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
Shun51.1%	51	49	51	52	51	51	50	50	52	53
Wolf50.6%	52	51	50	50	51	52	51	50	49	50
Akira50.4%	50	49	51	50	51	52	51	51	49	50
Aoi50.2%	52	50	51	50	51	50	47	50	50	50
Sarah50.1%	50	50	52	50	51	49	49	50	51	51
Jacky49.8%	50	48	50	49	49	50	51	51	50	51
Jeffry49.6%	49	49	47	49	50	51	51	52	48	50
Pai49.5%	49	49	48	49	47	51	49	50	50	52
Brad49.3%	46	49	46	51	51	49	48	51	49	51
Vanessa49.1%	49	49	49	49	49	48	48	49	49	51
Kage49.1%	47	52	46	47	49	49	52	49	50	50
Lion49.0%	49	52	50	48	49	48	48	49	50	46
Eileen48.8%	48	53	50	45	47	52	47	52	46	47
Lau48.7%	49	48	49	48	49	51	46	47	48	51
El Blaze48.5%	48	46	48	49	52	50	49	48	47	47
Lei Fei48.4%	47	45	49	50	48	49	50	47	50	48
Dural48.2%	51	47	44	48	50	45	53	51	49	49
Jean47.7%	48	47	46	48	48	48	50	47	47	49
Taka46.7%	48	47	45	48	46	42	51	46	45	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 -1.2 to -0.2); 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
Shun51.1%	51	51
Wolf50.6%	50	51
Akira50.4%	50	51
Aoi50.2%	50	51
Sarah50.1%	50	50
Jacky49.8%	50	50
Jeffry49.6%	49	50
Pai49.5%	49	50
Brad49.3%	49	50
Vanessa49.1%	49	49
Kage49.1%	49	49
Lion49.0%	50	48
Eileen48.8%	49	49
Lau48.7%	48	50
El Blaze48.5%	48	50
Lei Fei48.4%	48	49
Dural48.2%	48	48
Jean47.7%	47	48
Taka46.7%	46	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	4.97%	11	44,824
North America	5.38%	7	15,153
South America	6.18%	5	19,724
Europe	5.50%	8	2,377
Oceania	3.74%	9	271
Middle East	0.00%	15	0
Not recorded	4.80%	9	7,883

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

Win rate49.6%

Standing#17 of 19 · tier C

Pick rate5.2%

Most picked#9 of 19

Matches counted39,188

Unique players689

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jacky	50.98%	1,892	1,819	3,711
Lion	50.95%	1,016	978	1,994
Wolf	50.77%	1,742	1,689	3,431
Sarah	50.56%	1,345	1,315	2,660
Akira	50.55%	2,723	2,664	5,387
Aoi	50.55%	1,510	1,477	2,987
Shun	50.47%	1,189	1,167	2,356
Kage	49.57%	871	886	1,757
Pai	49.50%	1,340	1,367	2,707
Jeffry	49.08%	1,150	1,193	2,343
Vanessa	48.64%	536	566	1,102
Brad	48.60%	677	716	1,393
Lau	48.56%	741	785	1,526
El Blaze	48.16%	695	748	1,443
Eileen	47.75%	372	407	779
Lei Fei	47.25%	498	556	1,054
Jean	44.60%	702	872	1,574
Taka	44.51%	312	389	701
Dural	42.05%	119	164	283

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
Jacky51.0%	52	49	53	49	48	54	50	52	50	51
Lion51.0%	47	54	55	50	53	48	49	53	55	46
Wolf50.8%	56	54	52	49	51	50	50	50	47	49
Sarah50.6%	51	53	52	47	49	51	49	50	52	51
Akira50.5%	53	50	51	47	50	51	48	53	48	53
Aoi50.5%	55	52	51	46	55	50	46	50	50	53
Shun50.5%	50	43	52	57	51	50	49	48	49	56
Kage49.6%	47	56	49	44	48	45	59	48	50	46
Pai49.5%	47	51	45	46	43	51	48	51	51	58
Jeffry49.1%	52	48	47	45	50	53	52	49	46	51
Vanessa48.6%	50	52	48	36	55	53	47	40	52	48
Brad48.6%	43	51	43	49	54	53	38	54	44	51
Lau48.6%	47	54	56	47	52	49	38	41	48	51
El Blaze48.2%	48	43	45	49	56	52	45	48	40	52
Eileen47.8%	44	57	48	38	40	61	43	54	47	34
Lei Fei47.2%	37	47	48	51	45	58	50	44	48	42
Jean44.6%	44	41	44	44	45	42	48	53	40	47
Taka44.5%	50	35	36	51	48	44	50	41	40	51
Dural42.0%	47	50	32	41	40	32	58	52	46	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-1.1 pts behind walls (95% interval -2.5 to +0.4); within chance across the 20 characters tested, q=0.409

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
Jacky51.0%	51	51
Lion51.0%	52	49
Wolf50.8%	51	50
Sarah50.6%	51	50
Akira50.5%	50	51
Aoi50.5%	51	53
Shun50.5%	50	52
Kage49.6%	49	47
Pai49.5%	49	51
Jeffry49.1%	48	51
Vanessa48.6%	47	51
Brad48.6%	48	52
Lau48.6%	49	51
El Blaze48.2%	46	53
Eileen47.8%	48	46
Lei Fei47.2%	46	48
Jean44.6%	44	45
Taka44.5%	42	47
Dural42.0%	44	38

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Shun51.0%	51	45	52	55	51	50	51	50	51	54
Jacky50.5%	50	48	52	50	49	52	51	52	50	49
Wolf50.4%	53	52	50	50	51	51	49	50	49	49
Akira50.3%	51	50	50	49	50	52	51	52	49	51
Sarah50.2%	50	51	52	50	49	50	49	50	50	51
Aoi50.2%	53	51	52	49	53	50	46	49	50	51
Lion50.1%	50	52	52	48	51	49	49	51	51	47
Jeffry49.6%	51	49	48	48	50	51	51	50	48	50
Kage49.6%	49	53	48	47	50	47	54	48	50	49
Pai49.5%	49	50	47	47	45	52	48	51	50	53
Vanessa49.4%	50	50	48	43	52	51	49	46	52	48
El Blaze49.3%	49	45	47	51	54	52	48	49	46	51
Eileen49.2%	49	55	50	41	46	57	48	52	47	42
Lau49.1%	49	52	53	48	50	50	44	45	48	52
Brad48.9%	45	51	46	48	52	50	45	53	49	50
Lei Fei48.0%	43	48	48	49	48	53	47	46	50	46
Taka46.5%	50	45	42	51	46	45	49	45	43	48
Jean46.4%	45	44	46	46	47	47	50	52	45	47
Dural45.3%	50	45	40	44	44	40	53	51	49	46

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 -1.3 to +0.2); within chance across the 20 characters tested, q=0.440

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
Shun51.0%	51	52
Jacky50.5%	50	50
Wolf50.4%	51	50
Akira50.3%	50	51
Sarah50.2%	50	50
Aoi50.2%	50	51
Lion50.1%	51	49
Jeffry49.6%	49	50
Kage49.6%	49	48
Pai49.5%	49	50
Vanessa49.4%	49	50
El Blaze49.3%	48	52
Eileen49.2%	49	49
Lau49.1%	49	51
Brad48.9%	49	51
Lei Fei48.0%	47	49
Taka46.5%	46	46
Jean46.4%	46	47
Dural45.3%	46	43

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	5.20%	8	14,157
North America	4.01%	12	7,673
South America	6.53%	5	12,003
Europe	3.08%	14	733
Oceania	3.92%	9	271
Middle East	0.00%	11	0
Not recorded	5.34%	9	6,137

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

Win rate48.8%

Standing#18 of 19 · tier D

Pick rate5.7%

Most picked#8 of 19

Matches counted42,702

Unique players288

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	51.24%	1,286	1,224	2,510
Akira	50.89%	2,541	2,452	4,993
Dural	50.37%	272	268	540
Aoi	50.08%	939	936	1,875
Brad	50.00%	1,189	1,189	2,378
Shun	49.82%	987	994	1,981
Jeffry	49.59%	1,344	1,366	2,710
Sarah	49.57%	1,165	1,185	2,350
Jacky	49.00%	2,346	2,442	4,788
Pai	48.59%	1,034	1,094	2,128
Lei Fei	48.47%	869	924	1,793
Kage	47.98%	1,246	1,351	2,597
Lau	47.96%	1,235	1,340	2,575
Vanessa	47.91%	687	747	1,434
Jean	47.19%	1,277	1,429	2,706
Lion	46.46%	1,011	1,165	2,176
El Blaze	45.70%	782	929	1,711
Eileen	43.90%	306	391	697
Taka	43.03%	327	433	760

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
Wolf51.2%	50	49	51	49	54	56	54	50	50	51
Akira50.9%	48	50	54	52	53	55	54	48	47	49
Dural50.4%	57	47	40	52	57	48	57	55	45	56
Aoi50.1%	51	51	50	56	47	52	49	51	45	50
Brad50.0%	44	48	43	55	50	48	57	52	54	51
Shun49.8%	48	53	47	50	47	51	47	51	54	49
Jeffry49.6%	45	50	42	49	50	51	52	56	47	52
Sarah49.6%	48	49	52	50	54	45	44	48	51	52
Jacky49.0%	49	44	49	46	48	50	53	51	49	54
Pai48.6%	48	47	50	48	50	51	53	45	45	51
Lei Fei48.5%	52	43	48	50	51	44	56	45	49	53
Kage48.0%	45	50	43	43	46	49	54	47	51	51
Lau48.0%	50	43	46	51	46	54	43	48	46	49
Vanessa47.9%	45	49	44	50	42	46	49	49	45	56
Jean47.2%	51	53	43	48	47	49	50	39	46	50
Lion46.5%	46	53	50	44	49	46	44	44	48	43
El Blaze45.7%	46	42	48	43	52	46	51	44	47	39
Eileen43.9%	43	49	51	44	43	42	42	48	39	41
Taka43.0%	46	43	45	39	45	30	46	44	45	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-1.5 pts behind walls (95% interval -2.7 to -0.3); within chance across the 20 characters tested, q=0.075

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
Wolf51.2%	50	54
Akira50.9%	50	53
Dural50.4%	49	54
Aoi50.1%	51	49
Brad50.0%	50	50
Shun49.8%	50	49
Jeffry49.6%	48	51
Sarah49.6%	50	50
Jacky49.0%	48	50
Pai48.6%	47	51
Lei Fei48.5%	48	49
Kage48.0%	47	49
Lau48.0%	47	50
Vanessa47.9%	47	47
Jean47.2%	47	49
Lion46.5%	47	46
El Blaze45.7%	45	46
Eileen43.9%	45	42
Taka43.0%	44	40

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
Wolf50.8%	50	49	51	50	52	53	53	51	49	51
Akira50.6%	50	49	52	51	52	53	52	49	49	49
Shun50.6%	50	52	49	50	49	51	49	51	52	51
Aoi50.2%	50	51	50	54	49	51	50	51	49	50
Jeffry49.8%	48	50	47	50	49	51	52	53	48	51
Brad49.8%	47	49	47	53	51	49	52	50	51	51
Sarah49.7%	49	49	51	50	52	47	47	49	51	50
Dural49.6%	52	48	45	50	54	48	53	51	48	52
Jacky49.5%	50	46	49	48	48	50	52	51	50	52
Pai49.2%	49	47	50	50	48	51	51	49	47	50
Lei Fei49.1%	49	45	51	51	50	47	53	48	49	50
Lau48.9%	49	47	47	50	49	51	47	49	48	50
Vanessa48.9%	46	50	48	50	47	48	48	50	47	54
Kage48.9%	47	51	45	47	48	49	52	50	51	50
Jean48.3%	50	51	47	49	48	49	49	44	48	50
El Blaze48.0%	49	47	48	48	51	49	50	47	48	44
Lion48.0%	47	51	49	47	48	48	48	47	50	47
Eileen47.2%	46	51	51	46	47	46	46	50	43	48
Taka46.8%	47	48	48	44	47	37	50	48	47	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 -1.3 to -0.1); within chance across the 20 characters tested, q=0.104

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
Wolf50.8%	50	52
Akira50.6%	50	51
Shun50.6%	51	50
Aoi50.2%	50	50
Jeffry49.8%	49	50
Brad49.8%	49	50
Sarah49.7%	50	50
Dural49.6%	49	51
Jacky49.5%	49	50
Pai49.2%	49	50
Lei Fei49.1%	49	49
Lau48.9%	48	50
Vanessa48.9%	48	49
Kage48.9%	49	49
Jean48.3%	48	49
El Blaze48.0%	48	48
Lion48.0%	49	48
Eileen47.2%	47	47
Taka46.8%	47	44

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	5.19%	10	26,412
South America	5.74%	6	7,721
North America	8.79%	3	7,472
Europe	9.36%	2	1,556
Middle East	0.00%	13	0
Oceania	0.00%	11	0
Not recorded	3.77%	10	1,705

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

Win rate47.7%

Standing#15 of 19 · tier C

Pick rate3.3%

Most picked#14 of 19

Matches counted4,268

Unique players21

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Sarah	60.66%	128	83	211
Dural	57.14%	16	12	28
Eileen	56.55%	82	63	145
Shun	56.53%	199	153	352
Wolf	55.08%	65	53	118
Jean	52.63%	60	54	114
Pai	50.43%	58	57	115
Akira	48.48%	175	186	361
Vanessa	48.16%	183	197	380
Aoi	47.78%	43	47	90
Taka	46.67%	42	48	90
Lion	46.57%	163	187	350
Kage	46.26%	161	187	348
Jacky	44.25%	154	194	348
Lau	43.40%	230	300	530
El Blaze	43.10%	100	132	232
Brad	41.55%	86	121	207
Jeffry	37.27%	41	69	110
Lei Fei	35.25%	49	90	139

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
Sarah60.7%	59	63	64	55	60	67	69	65	75	56
Dural57.1%	75	33	60	100	20	50	·	33	100	·
Eileen56.5%	56	67	41	60	69	29	40	64	56	61
Shun56.5%	61	60	59	48	62	47	45	43	62	59
Wolf55.1%	69	56	47	50	36	82	40	38	53	58
Jean52.6%	47	17	46	61	72	20	33	57	67	62
Pai50.4%	37	26	80	86	62	0	38	33	85	55
Akira48.5%	45	49	43	52	58	46	29	45	48	45
Vanessa48.2%	55	41	47	58	55	31	37	51	46	51
Aoi47.8%	50	45	56	25	75	60	33	46	43	75
Taka46.7%	15	55	38	70	38	50	83	33	0	55
Lion46.6%	53	50	51	52	46	37	44	48	41	33
Kage46.3%	34	52	45	50	45	55	30	28	47	54
Jacky44.2%	51	55	45	42	56	38	33	35	39	47
Lau43.4%	41	40	42	33	44	57	48	37	43	56
El Blaze43.1%	34	38	63	44	29	30	33	46	54	49
Brad41.5%	47	15	23	63	50	39	9	52	40	47
Jeffry37.3%	20	38	42	36	44	40	0	40	20	50
Lei Fei35.2%	30	22	26	54	27	60	25	37	58	39

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-3.1 pts behind walls (95% interval -7.0 to +0.8); within chance across the 20 characters tested, q=0.400

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
Sarah60.7%	62	60
Dural57.1%	65	29
Eileen56.5%	56	58
Shun56.5%	57	57
Wolf55.1%	53	62
Jean52.6%	51	61
Pai50.4%	51	56
Akira48.5%	47	50
Vanessa48.2%	50	47
Aoi47.8%	44	71
Taka46.7%	41	48
Lion46.6%	49	39
Kage46.3%	43	52
Jacky44.2%	44	47
Lau43.4%	39	52
El Blaze43.1%	45	39
Brad41.5%	43	45
Jeffry37.3%	33	45
Lei Fei35.2%	36	37

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Sarah54.7%	56	53	55	51	53	55	59	56	65	56
Shun54.5%	57	56	51	45	58	52	48	48	62	56
Eileen54.2%	55	60	45	58	60	47	41	56	52	58
Dural52.7%	60	36	52	69	37	57	·	45	75	·
Pai51.4%	43	40	62	63	56	0	47	46	69	55
Wolf50.8%	53	47	47	54	44	62	45	41	53	52
Jean50.7%	49	29	47	54	61	29	46	55	50	58
Vanessa49.4%	52	47	52	55	52	42	41	50	48	51
Aoi49.3%	49	45	53	41	67	58	38	51	50	60
Kage49.0%	42	54	50	49	49	53	42	40	49	54
Lion48.3%	54	50	50	50	46	46	48	49	47	37
Akira48.3%	45	49	46	50	53	46	38	48	51	44
Jacky47.4%	51	54	47	45	53	45	42	44	43	45
Taka47.4%	37	51	42	60	47	48	62	42	25	47
El Blaze47.2%	40	45	56	52	43	43	46	50	51	47
Lau46.6%	46	45	49	39	48	52	49	45	44	52
Brad46.0%	47	36	35	55	51	45	24	52	44	50
Jeffry42.8%	33	37	46	45	39	43	33	50	41	53
Lei Fei41.8%	39	39	34	54	40	53	36	45	48	39

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-1.3 pts behind walls (95% interval -3.3 to +0.7); within chance across the 20 characters tested, q=0.600

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
Sarah54.7%	55	55
Shun54.5%	54	56
Eileen54.2%	54	56
Dural52.7%	56	42
Pai51.4%	51	54
Wolf50.8%	50	54
Jean50.7%	50	56
Vanessa49.4%	51	49
Aoi49.3%	48	61
Kage49.0%	47	52
Lion48.3%	50	43
Akira48.3%	48	48
Jacky47.4%	48	48
Taka47.4%	45	47
El Blaze47.2%	48	45
Lau46.6%	45	50
Brad46.0%	46	49
Jeffry42.8%	41	46
Lei Fei41.8%	43	41

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	3.50%	14	4,255
North America	0.15%	19	8
Europe	3.16%	12	88
South America	0.00%	15	0
Not recorded	0.98%	17	41

Goh

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