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

Win rate53.3%

Standing#1 of 19 · tier S

Pick rate1.8%

Most picked#19 of 19

Matches counted30,213

Unique players519

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	57.03%	949	715	1,664
Goh	56.09%	870	681	1,551
Kage	55.48%	926	743	1,669
Lion	55.45%	789	634	1,423
Akira	55.28%	2,100	1,699	3,799
Brad	54.57%	741	617	1,358
Shun	53.94%	972	830	1,802
Sarah	53.73%	930	801	1,731
Dural	53.50%	168	146	314
Eileen	52.88%	294	262	556
Jacky	52.77%	1,486	1,330	2,816
Vanessa	52.46%	586	531	1,117
Pai	52.30%	888	810	1,698
El Blaze	51.18%	521	497	1,018
Jeffry	51.17%	786	750	1,536
Lau	50.60%	799	780	1,579
Wolf	50.60%	1,101	1,075	2,176
Lei Fei	50.13%	567	564	1,131
Jean	48.39%	617	658	1,275

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
Aoi57.0%	65	55	58	57	56	52	46	58	57	61
Goh56.1%	55	60	59	54	54	62	50	58	58	52
Kage55.5%	52	38	50	63	54	66	51	54	57	62
Lion55.5%	52	58	52	54	54	62	64	50	56	50
Akira55.3%	49	58	51	58	55	57	62	55	56	55
Brad54.6%	50	57	57	63	67	53	51	52	42	51
Shun53.9%	50	53	48	52	55	54	57	57	56	53
Sarah53.7%	50	55	56	55	58	55	50	50	56	48
Dural53.5%	47	51	50	47	58	56	57	75	46	52
Eileen52.9%	54	50	45	52	44	49	68	54	57	57
Jacky52.8%	50	60	53	50	54	58	48	52	54	53
Vanessa52.5%	50	52	48	49	56	58	49	54	54	54
Pai52.3%	53	52	56	46	51	55	66	48	53	55
El Blaze51.2%	48	42	60	62	56	54	53	46	51	45
Jeffry51.2%	52	54	51	53	54	46	42	47	51	56
Lau50.6%	49	57	58	47	49	54	47	53	48	45
Wolf50.6%	50	47	54	53	52	53	46	50	50	51
Lei Fei50.1%	49	46	47	54	52	59	62	45	45	52
Jean48.4%	45	51	41	50	49	54	44	45	59	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-1.7 pts behind walls (95% interval -3.4 to +0.0); 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
Aoi57.0%	58	56
Goh56.1%	57	56
Kage55.5%	53	61
Lion55.5%	53	55
Akira55.3%	54	56
Brad54.6%	53	56
Shun53.9%	53	54
Sarah53.7%	54	54
Dural53.5%	52	56
Eileen52.9%	53	50
Jacky52.8%	53	55
Vanessa52.5%	51	56
Pai52.3%	51	54
El Blaze51.2%	51	51
Jeffry51.2%	51	53
Lau50.6%	52	49
Wolf50.6%	51	52
Lei Fei50.1%	48	54
Jean48.4%	49	48

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
Aoi53.6%	57	51	55	53	53	51	47	55	53	56
Goh53.3%	52	53	55	52	54	58	49	54	55	52
Kage53.1%	51	43	50	58	53	59	51	52	53	58
Akira53.1%	50	54	51	54	54	55	56	52	53	54
Lion52.9%	51	54	51	52	53	56	57	51	53	51
Shun52.9%	51	52	50	51	54	53	53	54	54	53
Vanessa52.5%	52	52	50	50	54	56	50	53	54	53
Sarah52.4%	50	52	54	53	55	53	51	52	54	50
Brad52.2%	50	54	54	56	59	52	52	50	46	50
Eileen51.8%	54	49	48	51	47	50	58	52	53	56
Dural51.3%	52	49	49	45	55	50	52	59	48	51
Jacky51.1%	50	54	51	49	51	54	49	51	51	53
Jeffry51.1%	51	52	52	53	52	48	47	48	51	53
Pai51.0%	51	50	53	47	50	53	59	49	52	52
Lau50.5%	50	52	55	49	51	52	48	51	49	48
Wolf50.1%	51	49	52	50	51	52	46	50	50	49
El Blaze50.0%	50	45	55	53	51	51	49	50	50	47
Lei Fei49.9%	49	46	48	49	51	55	59	48	49	51
Jean48.6%	47	50	45	49	50	51	48	47	54	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-1.3 pts behind walls (95% interval -2.1 to -0.4); 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
Aoi53.6%	54	53
Goh53.3%	54	55
Kage53.1%	51	57
Akira53.1%	52	54
Lion52.9%	52	53
Shun52.9%	52	53
Vanessa52.5%	52	54
Sarah52.4%	52	53
Brad52.2%	51	53
Eileen51.8%	52	51
Dural51.3%	50	53
Jacky51.1%	51	53
Jeffry51.1%	51	52
Pai51.0%	50	52
Lau50.5%	51	50
Wolf50.1%	50	51
El Blaze50.0%	50	49
Lei Fei49.9%	48	52
Jean48.6%	49	49

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	1.62%	18	14,640
North America	2.10%	18	5,931
South America	1.44%	19	4,581
Europe	2.60%	16	1,123
Oceania	0.30%	17	22
Middle East	0.00%	18	0
Not recorded	2.68%	17	4,410

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

Win rate52.9%

Standing#2 of 19 · tier S

Pick rate1.8%

Most picked#19 of 19

Matches counted13,898

Unique players375

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Eileen	60.07%	161	107	268
Kage	57.42%	263	195	458
Aoi	56.36%	598	463	1,061
Goh	55.49%	389	312	701
Akira	54.68%	1,105	916	2,021
Sarah	53.85%	524	449	973
Shun	53.40%	471	411	882
Lion	53.16%	311	274	585
Jean	51.86%	237	220	457
Lei Fei	51.76%	220	205	425
Pai	51.75%	517	482	999
Brad	51.49%	225	212	437
Lau	51.44%	268	253	521
Vanessa	51.28%	221	210	431
Dural	51.03%	74	71	145
Jacky	51.00%	589	566	1,155
Jeffry	50.47%	374	367	741
Wolf	49.06%	602	625	1,227
El Blaze	48.91%	201	210	411

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
Eileen60.1%	59	59	60	78	36	52	60	67	65	72
Kage57.4%	51	45	55	80	41	69	52	55	57	70
Aoi56.4%	61	58	61	57	55	51	42	55	55	61
Goh55.5%	50	65	64	49	52	56	50	59	60	49
Akira54.7%	45	59	47	56	55	56	69	57	55	58
Sarah53.9%	54	53	56	53	55	57	52	51	55	47
Shun53.4%	54	45	48	54	59	55	54	54	56	53
Lion53.2%	53	52	51	62	55	51	50	46	56	51
Jean51.9%	45	50	38	53	59	69	40	59	67	42
Lei Fei51.8%	60	50	39	54	53	64	64	44	47	46
Pai51.8%	44	50	54	50	49	59	61	50	60	54
Brad51.5%	50	62	58	63	55	45	36	37	41	51
Lau51.4%	60	61	60	51	50	61	47	48	47	41
Vanessa51.3%	44	47	41	43	63	55	63	51	60	62
Dural51.0%	50	40	57	30	52	62	33	82	38	44
Jacky51.0%	49	59	54	46	49	54	44	54	51	60
Jeffry50.5%	52	60	51	51	52	45	40	42	51	53
Wolf49.1%	51	47	52	54	49	50	38	52	48	47
El Blaze48.9%	45	40	60	47	50	62	39	43	57	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-0.9 pts behind walls (95% interval -3.2 to +1.5); within chance across the 20 characters tested, q=0.802

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
Eileen60.1%	64	50
Kage57.4%	56	62
Aoi56.4%	58	55
Goh55.5%	58	53
Akira54.7%	53	56
Sarah53.9%	54	53
Shun53.4%	52	55
Lion53.2%	53	52
Jean51.9%	51	55
Lei Fei51.8%	49	54
Pai51.8%	51	54
Brad51.5%	53	50
Lau51.4%	53	52
Vanessa51.3%	47	60
Dural51.0%	53	52
Jacky51.0%	52	53
Jeffry50.5%	50	50
Wolf49.1%	51	48
El Blaze48.9%	48	54

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
Eileen55.5%	57	53	55	69	45	51	50	58	57	63
Kage53.6%	49	47	55	65	45	59	54	51	52	61
Goh53.5%	50	55	58	49	54	55	51	55	57	52
Aoi53.4%	55	53	58	53	53	52	44	54	52	56
Akira52.9%	48	55	48	53	53	54	60	55	54	55
Sarah52.7%	52	50	54	52	54	54	53	52	54	51
Lei Fei52.2%	55	50	43	54	53	59	61	48	52	48
Shun52.0%	53	46	50	51	55	54	51	53	52	51
Lion51.9%	50	51	50	55	54	50	51	50	53	53
Vanessa51.4%	48	49	46	47	57	53	55	51	59	60
Lau50.9%	55	56	58	52	48	56	52	46	47	46
Jean50.8%	48	51	41	51	53	57	47	56	61	46
Pai50.7%	47	49	51	49	50	55	57	50	55	51
Dural50.5%	58	44	52	36	55	51	46	65	39	45
Brad50.5%	49	57	53	57	51	49	45	40	45	49
Jacky50.0%	49	55	52	47	50	51	45	52	49	56
Jeffry49.9%	50	55	52	52	49	46	44	45	50	51
Wolf49.1%	50	50	52	51	48	51	43	50	49	46
El Blaze48.4%	48	42	56	44	49	54	42	48	53	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 -1.9 to +0.6); within chance across the 20 characters tested, q=0.531

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
Eileen55.5%	57	51
Kage53.6%	53	56
Goh53.5%	54	54
Aoi53.4%	54	53
Akira52.9%	52	54
Sarah52.7%	53	53
Lei Fei52.2%	51	53
Shun52.0%	51	53
Lion51.9%	52	52
Vanessa51.4%	49	56
Lau50.9%	52	51
Jean50.8%	51	51
Pai50.7%	50	52
Dural50.5%	51	51
Brad50.5%	51	50
Jacky50.0%	50	52
Jeffry49.9%	50	49
Wolf49.1%	50	48
El Blaze48.4%	48	50

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	1.51%	19	4,107
North America	2.10%	18	4,020
South America	1.08%	19	1,979
Europe	2.52%	16	600
Oceania	0.32%	16	22
Middle East	0.00%	18	0
Not recorded	2.95%	16	3,396

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

Win rate53.6%

Standing#1 of 19 · tier S

Pick rate1.7%

Most picked#18 of 19

Matches counted13,330

Unique players184

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Aoi	59.17%	313	216	529
Dural	57.05%	89	67	156
Goh	56.97%	433	327	760
Akira	56.96%	868	656	1,524
Lion	56.34%	329	255	584
Kage	55.36%	496	400	896
Jacky	54.41%	790	662	1,452
Brad	54.40%	420	352	772
Shun	54.14%	386	327	713
Pai	52.86%	314	280	594
Wolf	52.76%	440	394	834
Sarah	52.38%	341	310	651
Lau	51.62%	399	374	773
Jeffry	50.97%	366	352	718
El Blaze	50.59%	256	250	506
Vanessa	49.44%	221	226	447
Lei Fei	48.93%	252	263	515
Eileen	48.21%	94	101	195
Jean	47.96%	341	370	711

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
Aoi59.2%	69	53	49	58	57	55	55	63	59	67
Dural57.0%	47	59	38	60	68	50	56	64	50	75
Goh57.0%	54	57	55	61	55	70	54	56	55	56
Akira57.0%	55	57	56	60	58	62	60	53	55	54
Lion56.3%	49	63	51	49	53	71	70	51	54	52
Kage55.4%	54	40	49	56	57	70	47	52	59	58
Jacky54.4%	52	61	52	53	58	59	53	51	59	51
Brad54.4%	49	52	55	60	70	56	64	56	39	51
Shun54.1%	49	63	46	49	51	50	51	54	59	55
Pai52.9%	66	52	59	36	57	50	71	39	49	55
Wolf52.8%	53	47	58	52	51	58	56	47	51	57
Sarah52.4%	41	58	54	57	66	51	44	48	59	42
Lau51.6%	44	55	59	44	58	55	42	52	53	46
Jeffry51.0%	53	48	49	53	58	48	41	51	52	60
El Blaze50.6%	43	44	58	71	62	48	60	42	41	44
Vanessa49.4%	50	50	51	50	50	51	29	49	49	47
Lei Fei48.9%	41	40	53	53	49	55	62	45	45	56
Eileen48.2%	57	38	20	43	53	44	86	44	56	55
Jean48.0%	46	51	42	54	45	48	47	37	56	49

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 -5.2 to -0.9); holds up against the 20 characters tested, q=0.036

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
Aoi59.2%	59	60
Dural57.0%	53	64
Goh57.0%	56	60
Akira57.0%	56	58
Lion56.3%	53	59
Kage55.4%	52	62
Jacky54.4%	55	56
Brad54.4%	52	58
Shun54.1%	54	53
Pai52.9%	51	54
Wolf52.8%	51	55
Sarah52.4%	53	52
Lau51.6%	51	54
Jeffry51.0%	51	55
El Blaze50.6%	50	50
Vanessa49.4%	50	49
Lei Fei48.9%	46	53
Eileen48.2%	45	51
Jean48.0%	48	48

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
Aoi54.5%	59	50	48	54	54	52	55	58	55	59
Akira53.8%	53	55	53	54	56	56	56	51	52	53
Shun53.7%	53	59	50	50	54	50	51	53	58	54
Kage53.2%	53	46	48	54	53	62	49	52	53	57
Goh53.2%	53	52	52	56	53	63	50	52	53	53
Lion53.1%	49	56	51	51	50	60	58	51	52	51
Dural53.0%	51	53	46	53	57	50	51	51	52	67
Brad52.3%	50	52	53	54	61	53	58	52	45	50
Jacky52.1%	52	53	50	51	53	57	52	50	54	51
Jeffry51.9%	53	49	51	52	56	52	47	51	52	56
Wolf51.5%	52	47	53	50	52	55	51	49	51	54
Pai51.5%	58	51	55	44	52	50	61	45	49	53
Sarah51.3%	45	54	53	53	57	52	44	51	54	45
Lau51.1%	48	51	54	48	56	52	43	54	52	49
Vanessa50.9%	52	51	51	52	52	52	41	50	51	50
El Blaze49.7%	48	46	53	57	53	49	53	47	46	46
Eileen49.2%	53	44	36	42	50	49	71	46	52	55
Lei Fei49.2%	45	43	52	49	50	52	58	48	48	54
Jean48.8%	47	50	47	52	50	48	48	42	51	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-2.1 pts behind walls (95% interval -3.2 to -1.0); holds up against the 20 characters tested, q=0.003

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
Aoi54.5%	54	55
Akira53.8%	53	55
Shun53.7%	54	53
Kage53.2%	51	57
Goh53.2%	53	56
Lion53.1%	52	54
Dural53.0%	51	57
Brad52.3%	51	54
Jacky52.1%	52	53
Jeffry51.9%	51	55
Wolf51.5%	51	54
Pai51.5%	51	52
Sarah51.3%	52	51
Lau51.1%	51	53
Vanessa50.9%	51	51
El Blaze49.7%	50	49
Eileen49.2%	47	52
Lei Fei49.2%	48	52
Jean48.8%	49	49

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	1.52%	18	7,754
South America	1.93%	17	2,598
North America	2.16%	18	1,835
Europe	2.52%	14	419
Middle East	0.00%	18	0
Oceania	0.00%	17	0
Not recorded	2.13%	18	962

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

Win rate53.3%

Standing#3 of 19 · tier A

Pick rate2.2%

Most picked#18 of 19

Matches counted2,985

Unique players29

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Brad	64.43%	96	53	149
El Blaze	63.37%	64	37	101
Sarah	60.75%	65	42	107
Vanessa	60.25%	144	95	239
Jeffry	59.74%	46	31	77
Lion	58.66%	149	105	254
Shun	55.56%	115	92	207
Pai	54.29%	57	48	105
Goh	53.33%	48	42	90
Kage	53.02%	167	148	315
Aoi	51.35%	38	36	74
Wolf	51.30%	59	56	115
Jacky	51.20%	107	102	209
Akira	50.00%	127	127	254
Lei Fei	49.74%	95	96	191
Lau	46.32%	132	153	285
Eileen	41.94%	39	54	93
Dural	38.46%	5	8	13
Jean	36.45%	39	68	107

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
Brad64.4%	55	73	75	78	82	56	43	80	62	53
El Blaze63.4%	85	46	75	69	50	50	100	71	78	43
Sarah60.8%	64	50	80	60	56	60	67	67	50	80
Vanessa60.2%	64	65	50	71	50	72	57	67	56	58
Jeffry59.7%	29	62	83	67	54	40	67	67	50	71
Lion58.7%	58	57	60	50	54	64	74	57	59	46
Shun55.6%	37	57	60	52	47	65	75	82	44	48
Pai54.3%	78	75	50	47	38	43	100	57	35	70
Goh53.3%	85	45	62	30	62	50	17	67	100	45
Kage53.0%	44	17	49	62	60	51	67	62	52	62
Aoi51.4%	100	30	67	20	67	43	0	67	67	45
Wolf51.3%	17	45	56	38	80	60	50	45	60	57
Jacky51.2%	40	53	58	47	59	65	44	33	48	39
Akira50.0%	50	44	59	65	40	38	39	46	59	43
Lei Fei49.7%	45	60	30	55	55	59	33	48	44	56
Lau46.3%	40	59	48	48	28	33	83	62	35	47
Eileen41.9%	17	57	45	29	67	50	62	55	30	33
Dural38.5%	33	·	·	0	33	50	100	·	·	0
Jean36.5%	33	54	56	21	38	29	·	25	40	0

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 -3.9 to +5.2); within chance across the 20 characters tested, q=0.868

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Brad64.4%	68	65
El Blaze63.4%	70	46
Sarah60.8%	61	68
Vanessa60.2%	61	62
Jeffry59.7%	61	56
Lion58.7%	57	55
Shun55.6%	53	54
Pai54.3%	54	52
Goh53.3%	59	52
Kage53.0%	49	57
Aoi51.4%	54	50
Wolf51.3%	44	66
Jacky51.2%	47	56
Akira50.0%	54	40
Lei Fei49.7%	48	57
Lau46.3%	49	36
Eileen41.9%	39	48
Dural38.5%	20	33
Jean36.5%	42	24

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
El Blaze58.7%	73	56	56	61	48	55	60	65	66	46
Vanessa57.4%	62	62	52	65	51	64	56	62	54	52
Brad56.7%	50	56	70	56	67	51	47	66	57	55
Sarah56.1%	58	50	62	53	57	52	58	67	52	70
Jeffry55.1%	45	53	67	60	55	45	57	56	53	59
Lion54.7%	55	51	53	51	56	58	63	53	56	48
Shun53.8%	42	57	55	51	50	59	59	67	52	52
Goh52.6%	63	49	58	40	53	52	38	58	75	53
Kage52.2%	48	29	49	58	59	52	53	56	53	57
Akira51.6%	52	45	59	60	47	48	43	50	59	47
Pai51.2%	58	58	50	48	47	48	75	50	43	58
Aoi50.5%	71	41	56	37	61	42	0	65	59	47
Wolf50.2%	43	46	49	40	69	52	46	47	54	57
Jacky49.7%	43	51	53	47	52	56	49	43	46	43
Lau48.0%	45	51	51	45	41	41	71	54	43	51
Eileen46.6%	44	50	50	40	50	50	56	57	41	40
Lei Fei46.3%	46	50	38	44	48	51	33	50	44	50
Dural39.6%	36	·	·	0	46	44	60	·	·	25
Jean37.5%	33	48	51	24	40	37	·	31	41	9

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.3 pts behind walls (95% interval -2.8 to +2.1); within chance across the 20 characters tested, q=0.799

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
El Blaze58.7%	63	49
Vanessa57.4%	59	57
Brad56.7%	57	58
Sarah56.1%	55	61
Jeffry55.1%	55	54
Lion54.7%	53	54
Shun53.8%	53	54
Goh52.6%	55	53
Kage52.2%	50	56
Akira51.6%	54	47
Pai51.2%	50	52
Aoi50.5%	53	49
Wolf50.2%	47	58
Jacky49.7%	48	51
Lau48.0%	48	45
Eileen46.6%	47	46
Lei Fei46.3%	46	49
Dural39.6%	24	42
Jean37.5%	41	31

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	2.29%	18	2,779
North America	1.42%	15	76
Europe	3.74%	10	104
South America	0.56%	10	4
Not recorded	1.25%	14	52

Taka

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