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

Win rate51.4%

Standing#3 of 19 · tier A

Pick rate1.8%

Most picked#18 of 19

Matches counted30,276

Unique players434

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Wolf	55.68%	1,108	882	1,990
Vanessa	54.30%	556	468	1,024
Goh	53.12%	861	760	1,621
Pai	52.56%	925	835	1,760
Aoi	52.50%	997	902	1,899
Akira	52.20%	1,914	1,753	3,667
Jeffry	52.08%	913	840	1,753
Brad	51.79%	679	632	1,311
Sarah	51.66%	947	886	1,833
Jean	51.51%	616	580	1,196
Shun	50.55%	834	816	1,650
Jacky	50.25%	1,420	1,406	2,826
Lau	50.17%	864	858	1,722
Kage	49.85%	826	831	1,657
El Blaze	49.82%	548	552	1,100
Lion	49.02%	751	781	1,532
Lei Fei	48.23%	436	468	904
Taka	47.12%	262	294	556
Dural	42.91%	118	157	275

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
Wolf55.7%	55	55	57	54	57	56	61	57	54	55
Vanessa54.3%	62	59	44	55	50	57	50	55	51	54
Goh53.1%	55	46	52	57	56	49	58	48	55	59
Pai52.6%	56	57	62	49	50	52	53	52	45	50
Aoi52.5%	49	58	56	55	54	55	44	48	51	54
Akira52.2%	50	58	55	54	49	51	48	53	53	49
Jeffry52.1%	49	54	45	49	50	59	53	48	59	57
Brad51.8%	54	50	47	56	52	53	47	56	51	52
Sarah51.7%	55	52	49	52	52	53	52	49	50	52
Jean51.5%	49	52	48	52	51	49	49	55	54	61
Shun50.5%	56	56	45	49	46	50	48	45	48	61
Jacky50.2%	52	49	44	48	50	51	53	50	52	53
Lau50.2%	49	57	46	57	50	52	48	42	46	54
Kage49.9%	55	57	45	49	50	51	44	44	49	48
El Blaze49.8%	49	56	50	47	44	53	54	42	51	55
Lion49.0%	43	50	52	52	52	49	33	45	54	55
Lei Fei48.2%	50	44	55	51	38	47	47	43	54	48
Taka47.1%	46	50	55	48	56	51	32	46	43	43
Dural42.9%	45	61	29	38	34	47	52	29	21	58

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-0.6 pts behind walls (95% interval -2.3 to +1.2); within chance across the 20 characters tested, q=0.880

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
Wolf55.7%	55	56
Vanessa54.3%	55	54
Goh53.1%	52	55
Pai52.6%	54	51
Aoi52.5%	53	55
Akira52.2%	54	49
Jeffry52.1%	51	55
Brad51.8%	52	52
Sarah51.7%	51	52
Jean51.5%	52	53
Shun50.5%	50	53
Jacky50.2%	49	51
Lau50.2%	49	52
Kage49.9%	50	50
El Blaze49.8%	49	50
Lion49.0%	49	52
Lei Fei48.2%	49	45
Taka47.1%	47	50
Dural42.9%	40	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
Wolf53.1%	53	52	55	52	52	53	56	53	52	53
Vanessa51.8%	56	54	47	53	48	54	50	52	49	54
Aoi51.7%	50	56	54	54	53	53	46	50	50	52
Akira51.4%	51	55	53	52	50	52	48	52	51	49
Pai51.4%	53	55	56	49	50	51	54	51	48	50
Jean51.4%	51	51	50	51	51	49	51	52	53	57
Sarah51.2%	53	52	50	52	51	52	50	50	51	52
Goh51.2%	52	47	50	55	53	48	53	48	54	53
Shun51.2%	53	54	48	50	50	50	52	48	51	57
Brad51.1%	53	50	48	53	51	51	49	54	51	50
Jeffry50.7%	49	51	48	50	50	53	52	48	54	53
Lau50.4%	50	55	49	55	49	53	49	46	48	52
Jacky50.2%	51	50	47	49	50	52	50	50	51	51
Kage50.2%	53	54	48	50	48	50	48	46	50	50
Lion49.8%	48	51	51	51	52	50	41	46	53	53
El Blaze49.2%	47	53	49	47	47	52	51	45	50	51
Lei Fei48.8%	49	47	52	51	44	47	50	46	52	47
Taka48.2%	46	51	52	49	53	50	42	48	47	44
Dural47.0%	48	58	41	48	43	45	50	43	39	52

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.1 pts behind walls (95% interval -1.0 to +0.7); within chance across the 20 characters tested, q=0.901

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Wolf53.1%	53	53
Vanessa51.8%	52	52
Aoi51.7%	52	52
Akira51.4%	52	50
Pai51.4%	52	50
Jean51.4%	51	52
Sarah51.2%	51	51
Goh51.2%	51	51
Shun51.2%	51	53
Brad51.1%	52	51
Jeffry50.7%	50	52
Lau50.4%	50	51
Jacky50.2%	50	51
Kage50.2%	50	50
Lion49.8%	50	51
El Blaze49.2%	49	50
Lei Fei48.8%	49	46
Taka48.2%	48	49
Dural47.0%	47	47

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	1.60%	19	14,476
North America	1.67%	19	4,702
South America	2.07%	18	6,616
Europe	1.31%	19	566
Oceania	5.78%	7	419
Middle East	0.00%	13	0
Not recorded	2.56%	18	4,203

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

Win rate50.4%

Standing#11 of 19 · tier B

Pick rate2.0%

Most picked#18 of 19

Matches counted15,414

Unique players321

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Akira	54.34%	1,140	958	2,098
Wolf	54.34%	651	547	1,198
Brad	53.17%	277	244	521
Aoi	52.30%	647	590	1,237
Goh	52.25%	407	372	779
Pai	51.23%	561	534	1,095
El Blaze	51.02%	250	240	490
Jeffry	51.01%	507	487	994
Vanessa	49.57%	231	235	466
Lei Fei	48.72%	171	180	351
Kage	48.63%	336	355	691
Jacky	48.59%	657	695	1,352
Lau	48.47%	316	336	652
Sarah	47.75%	467	511	978
Jean	47.65%	254	279	533
Lion	46.76%	317	361	678
Shun	46.73%	422	481	903
Taka	39.93%	107	161	268
Dural	38.46%	50	80	130

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

Stage Impact To Match WP

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

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

How significance is decided

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

Each matchup, stage by stage

Win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Akira54.3%	52	59	57	59	51	47	52	58	59	50
Wolf54.3%	53	58	55	57	50	55	56	56	53	53
Brad53.2%	53	57	61	62	51	49	40	54	48	57
Aoi52.3%	47	54	59	53	53	53	45	50	51	59
Goh52.2%	56	43	52	62	60	39	57	46	53	66
Pai51.2%	57	60	61	50	46	58	56	51	39	43
El Blaze51.0%	44	56	51	55	44	59	60	27	60	50
Jeffry51.0%	49	53	46	47	44	52	51	47	60	60
Vanessa49.6%	55	54	41	57	43	52	35	51	42	50
Lei Fei48.7%	49	50	50	52	44	51	43	45	47	50
Kage48.6%	56	58	44	48	39	52	53	44	43	47
Jacky48.6%	53	41	45	43	53	52	43	45	51	55
Lau48.5%	49	46	47	53	45	60	46	37	47	53
Sarah47.8%	54	48	38	48	49	49	48	40	44	55
Jean47.6%	53	47	36	62	41	44	49	55	42	52
Lion46.8%	43	49	48	52	53	49	37	45	49	43
Shun46.7%	55	50	38	44	42	48	46	44	42	55
Taka39.9%	41	41	40	22	64	48	40	33	35	28
Dural38.5%	53	46	17	42	13	50	45	18	0	61

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-0.2 pts behind walls (95% interval -2.5 to +2.1); within chance across the 20 characters tested, q=0.971

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Akira54.3%	57	49
Wolf54.3%	55	52
Brad53.2%	55	52
Aoi52.3%	52	55
Goh52.2%	52	54
Pai51.2%	53	49
El Blaze51.0%	50	51
Jeffry51.0%	50	52
Vanessa49.6%	51	48
Lei Fei48.7%	49	49
Kage48.6%	49	47
Jacky48.6%	47	53
Lau48.5%	46	53
Sarah47.8%	46	51
Jean47.6%	49	45
Lion46.8%	48	49
Shun46.7%	46	48
Taka39.9%	36	50
Dural38.5%	34	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
Akira52.5%	51	56	55	55	50	49	50	55	54	50
Wolf52.5%	52	54	54	52	49	52	55	52	53	51
Aoi51.6%	48	54	55	54	52	52	45	50	50	54
Brad51.2%	52	53	54	56	51	49	47	52	49	53
Goh50.8%	51	45	50	59	54	43	52	48	53	58
Jeffry50.3%	49	51	48	49	47	51	51	47	55	56
Pai50.3%	53	56	54	49	47	53	57	51	45	46
El Blaze49.8%	45	53	50	51	48	54	55	37	52	49
Jacky49.7%	52	46	48	46	51	52	47	48	51	52
Kage49.4%	53	53	47	50	43	50	52	45	48	51
Shun49.2%	52	51	45	47	48	50	51	48	47	54
Lau49.1%	48	50	48	51	47	56	49	42	49	52
Sarah49.1%	53	50	45	50	49	49	46	45	47	53
Vanessa49.0%	51	51	45	53	44	52	41	50	43	52
Lei Fei48.6%	49	51	49	53	46	47	47	46	48	47
Jean48.5%	52	47	43	54	46	46	51	51	46	48
Lion48.5%	46	52	50	52	53	49	42	44	51	47
Taka44.5%	43	47	45	31	55	49	50	42	43	37
Dural44.4%	48	48	33	51	35	48	41	44	32	53

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.1 pts behind walls (95% interval -1.1 to +1.3); within chance across the 20 characters tested, q=0.860

How significance is decided

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

Walls Impact To Round Win Probability

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

Opponent	Walls	No walls
Akira52.5%	54	50
Wolf52.5%	53	51
Aoi51.6%	52	53
Brad51.2%	52	51
Goh50.8%	51	51
Jeffry50.3%	50	51
Pai50.3%	51	49
El Blaze49.8%	48	50
Jacky49.7%	49	52
Kage49.4%	50	48
Shun49.2%	49	50
Lau49.1%	48	52
Sarah49.1%	48	50
Vanessa49.0%	49	49
Lei Fei48.6%	49	47
Jean48.5%	49	47
Lion48.5%	49	50
Taka44.5%	43	49
Dural44.4%	45	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	1.73%	18	4,717
North America	1.85%	19	3,536
South America	2.57%	17	4,725
Europe	0.76%	19	182
Oceania	4.23%	7	292
Middle East	0.00%	9	0
Not recorded	2.03%	19	2,334

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

Win rate53.0%

Standing#2 of 19 · tier S

Pick rate1.4%

Most picked#19 of 19

Matches counted10,685

Unique players161

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	58.56%	383	271	654
Vanessa	57.77%	212	155	367
Shun	56.61%	291	223	514
Goh	56.10%	391	306	697
Sarah	54.28%	336	283	619
Pai	53.76%	236	203	439
Jacky	53.61%	564	488	1,052
Aoi	53.54%	287	249	536
El Blaze	52.71%	233	209	442
Lion	52.17%	252	231	483
Jeffry	51.85%	336	312	648
Taka	51.79%	101	94	195
Brad	51.49%	277	261	538
Lei Fei	51.47%	175	165	340
Jean	51.09%	281	269	550
Lau	50.99%	335	322	657
Akira	50.82%	590	571	1,161
Kage	49.25%	328	338	666
Dural	47.24%	60	67	127

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
Wolf58.6%	57	50	59	56	65	58	72	57	53	61
Vanessa57.8%	61	65	50	49	52	67	61	55	64	55
Shun56.6%	54	63	50	57	59	55	53	45	56	67
Goh56.1%	57	51	49	56	57	58	58	52	61	59
Sarah54.3%	50	54	62	58	56	55	55	56	52	47
Pai53.8%	66	44	64	48	53	44	46	49	47	67
Jacky53.6%	52	60	48	49	48	55	60	57	56	54
Aoi53.5%	53	63	54	59	59	62	45	45	53	43
El Blaze52.7%	55	62	48	44	49	51	63	54	49	59
Lion52.2%	39	55	62	61	52	54	9	39	60	65
Jeffry51.9%	46	54	39	51	53	64	50	51	57	52
Taka51.8%	43	62	80	57	47	56	14	56	44	45
Brad51.5%	47	44	42	50	57	51	50	67	57	49
Lei Fei51.5%	60	44	63	48	32	38	67	49	54	55
Jean51.1%	45	52	49	45	57	45	48	54	70	60
Lau51.0%	49	55	50	57	57	46	50	48	41	56
Akira50.8%	51	54	52	48	44	59	45	48	49	51
Kage49.2%	51	55	46	45	59	51	30	43	52	52
Dural47.2%	33	73	33	44	50	40	54	38	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-2.0 pts behind walls (95% interval -4.4 to +0.4); within chance across the 20 characters tested, q=0.297

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
Wolf58.6%	55	61
Vanessa57.8%	57	59
Shun56.6%	54	62
Goh56.1%	55	58
Sarah54.3%	56	53
Pai53.8%	53	54
Jacky53.6%	53	53
Aoi53.5%	54	54
El Blaze52.7%	52	53
Lion52.2%	52	57
Jeffry51.9%	50	57
Taka51.8%	55	49
Brad51.5%	51	53
Lei Fei51.5%	54	43
Jean51.1%	51	54
Lau51.0%	50	54
Akira50.8%	50	51
Kage49.2%	48	54
Dural47.2%	44	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
Shun54.4%	52	57	51	54	59	54	54	48	56	59
Wolf54.1%	55	50	55	55	55	54	60	53	50	55
Vanessa53.4%	54	58	50	47	47	58	57	51	57	55
Pai52.9%	57	49	59	51	52	48	50	49	48	59
Goh52.8%	54	49	49	54	53	54	54	50	57	52
Aoi52.2%	52	57	53	55	55	54	49	49	49	48
Sarah51.9%	48	51	54	53	54	52	53	53	53	49
Jacky51.8%	51	53	49	49	50	54	53	54	53	52
Brad51.5%	49	49	48	51	53	52	52	61	54	48
Lion51.2%	46	52	55	55	49	52	35	48	55	56
Jean51.0%	49	51	51	47	53	46	49	52	62	56
Lau51.0%	51	53	51	56	53	50	51	51	44	54
Lei Fei50.9%	53	49	58	50	43	46	62	49	50	50
Akira50.8%	52	52	52	49	49	58	47	48	47	51
Taka50.8%	47	56	64	58	50	51	29	54	48	45
El Blaze50.6%	50	56	48	46	49	51	56	50	51	51
Jeffry50.5%	47	51	45	51	52	55	52	50	54	50
Dural50.3%	45	68	44	51	52	35	55	43	43	49
Kage49.7%	51	53	50	48	50	51	41	47	50	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-0.8 pts behind walls (95% interval -2.0 to +0.4); within chance across the 20 characters tested, q=0.537

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
Shun54.4%	53	58
Wolf54.1%	53	55
Vanessa53.4%	53	54
Pai52.9%	52	53
Goh52.8%	53	53
Aoi52.2%	53	52
Sarah51.9%	52	52
Jacky51.8%	51	52
Brad51.5%	52	51
Lion51.2%	52	53
Jean51.0%	51	51
Lau51.0%	51	52
Lei Fei50.9%	52	47
Akira50.8%	50	52
Taka50.8%	53	48
El Blaze50.6%	50	51
Jeffry50.5%	50	52
Dural50.3%	50	49
Kage49.7%	50	51

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	1.20%	19	6,100
South America	1.27%	19	1,715
North America	1.27%	19	1,083
Europe	1.11%	17	185
Middle East	0.00%	11	0
Oceania	37.24%	1	127
Not recorded	3.61%	12	1,631

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

Win rate51.2%

Standing#6 of 19 · tier A

Pick rate3.2%

Most picked#15 of 19

Matches counted4,177

Unique players37

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	71.68%	81	32	113
Jeffry	63.06%	70	41	111
Sarah	61.02%	144	92	236
Vanessa	59.16%	113	78	191
Taka	58.06%	54	39	93
Pai	56.64%	128	98	226
Kage	54.00%	162	138	300
Wolf	53.62%	74	64	138
Shun	51.93%	121	112	233
Lau	51.57%	213	200	413
Aoi	50.00%	63	63	126
Brad	49.60%	125	127	252
Lion	49.06%	182	189	371
Jacky	47.16%	199	223	422
Akira	45.10%	184	224	408
Dural	44.44%	8	10	18
Goh	43.45%	63	82	145
Lei Fei	42.25%	90	123	213
El Blaze	38.69%	65	103	168

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
Jean71.7%	50	78	86	54	73	89	100	60	71	75
Jeffry63.1%	67	59	64	54	83	100	100	44	60	56
Sarah61.0%	76	61	72	55	58	63	64	65	59	52
Vanessa59.2%	88	62	41	59	67	33	100	62	50	62
Taka58.1%	83	43	55	71	33	50	38	45	70	67
Pai56.6%	41	66	62	46	68	31	67	65	79	54
Kage54.0%	68	60	45	62	54	49	43	41	56	47
Wolf53.6%	62	50	57	31	86	53	58	57	64	43
Shun51.9%	62	74	54	48	40	48	44	48	50	67
Lau51.6%	50	69	33	66	44	48	47	42	55	52
Aoi50.0%	56	71	45	60	38	75	33	50	50	56
Brad49.6%	66	44	21	62	40	71	56	38	45	48
Lion49.1%	48	44	46	33	51	40	50	51	58	63
Jacky47.2%	50	52	30	59	41	38	67	47	42	46
Akira45.1%	38	59	52	42	56	50	31	48	35	36
Dural44.4%	50	·	·	20	25	·	100	·	100	100
Goh43.5%	44	33	59	40	31	71	60	36	44	39
Lei Fei42.2%	26	34	50	57	37	47	36	25	71	42
El Blaze38.7%	42	43	58	32	28	22	33	53	32	60

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+1.6 pts behind walls (95% interval -2.3 to +5.6); within chance across the 20 characters tested, q=0.638

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
Jean71.7%	67	77
Jeffry63.1%	59	71
Sarah61.0%	63	58
Vanessa59.2%	60	54
Taka58.1%	61	52
Pai56.6%	58	53
Kage54.0%	55	49
Wolf53.6%	53	56
Shun51.9%	55	52
Lau51.6%	53	47
Aoi50.0%	53	56
Brad49.6%	47	51
Lion49.1%	48	51
Jacky47.2%	46	42
Akira45.1%	46	46
Dural44.4%	40	40
Goh43.5%	44	42
Lei Fei42.2%	41	42
El Blaze38.7%	42	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
Jean67.8%	52	69	74	60	69	87	100	53	62	75
Sarah58.9%	69	59	63	55	54	64	64	63	56	55
Jeffry56.3%	59	56	60	54	65	69	86	45	51	49
Vanessa55.8%	73	54	47	58	63	45	86	56	49	56
Pai53.6%	46	58	59	46	60	38	50	52	75	54
Taka53.4%	56	50	50	60	50	50	44	43	59	60
Wolf53.1%	54	51	58	43	80	50	51	55	56	52
Kage52.9%	59	57	47	57	56	50	49	45	55	47
Shun51.9%	56	61	53	48	45	48	52	49	51	62
Lau51.4%	51	61	45	58	45	51	46	48	53	50
Lion50.3%	53	47	46	39	52	47	42	50	55	60
Brad50.2%	62	47	35	53	48	57	49	47	45	51
Aoi50.2%	53	65	51	56	44	63	39	49	47	51
Akira47.9%	44	56	50	47	52	50	40	49	45	43
Jacky47.8%	48	52	39	55	47	45	54	47	45	46
Goh45.8%	45	40	55	42	40	53	59	44	48	42
Lei Fei45.8%	37	40	49	49	42	49	44	39	64	46
Dural44.3%	53	·	·	29	27	·	75	·	60	75
El Blaze44.0%	39	47	49	42	41	35	40	52	41	53

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 -1.7 to +2.5); 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
Jean67.8%	62	76
Sarah58.9%	60	57
Jeffry56.3%	55	57
Vanessa55.8%	56	55
Pai53.6%	54	52
Taka53.4%	53	54
Wolf53.1%	53	56
Kage52.9%	53	51
Shun51.9%	53	52
Lau51.4%	53	49
Lion50.3%	49	53
Brad50.2%	49	52
Aoi50.2%	52	53
Akira47.9%	48	48
Jacky47.8%	47	46
Goh45.8%	46	44
Lei Fei45.8%	45	45
Dural44.3%	44	37
El Blaze44.0%	45	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	3.01%	16	3,659
North America	1.55%	14	83
Europe	7.15%	6	199
South America	24.68%	2	176
Not recorded	5.71%	8	238

Eileen

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