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

Win rate51.0%

Standing#6 of 19 · tier A

Pick rate4.6%

Most picked#13 of 19

Matches counted75,599

Unique players767

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	54.12%	3,147	2,668	5,815
Akira	53.84%	5,003	4,289	9,292
Goh	53.60%	2,355	2,039	4,394
Jacky	51.65%	3,840	3,594	7,434
Taka	51.61%	658	617	1,275
Aoi	51.30%	2,066	1,961	4,027
Sarah	50.84%	2,319	2,242	4,561
Jeffry	50.46%	2,344	2,301	4,645
Kage	50.43%	2,280	2,241	4,521
Lion	50.09%	1,932	1,925	3,857
Pai	50.08%	2,167	2,160	4,327
Vanessa	50.04%	1,403	1,401	2,804
Shun	49.91%	1,904	1,911	3,815
Brad	49.25%	1,685	1,736	3,421
Eileen	48.49%	580	616	1,196
Lei Fei	48.15%	1,341	1,444	2,785
El Blaze	47.89%	1,223	1,331	2,554
Lau	47.47%	1,980	2,191	4,171
Dural	46.24%	326	379	705

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
Wolf54.1%	57	56	55	57	53	54	50	52	53	50
Akira53.8%	53	53	52	54	54	54	54	51	55	54
Goh53.6%	51	52	56	53	53	54	51	56	55	51
Jacky51.6%	52	51	50	50	52	52	54	50	50	54
Taka51.6%	55	49	59	50	51	46	56	55	41	57
Aoi51.3%	49	53	53	53	56	51	50	51	47	48
Sarah50.8%	51	51	52	50	52	50	51	49	52	51
Jeffry50.5%	52	46	52	54	47	49	53	51	46	53
Kage50.4%	48	55	50	51	50	48	49	48	52	53
Lion50.1%	52	53	50	49	47	48	56	50	50	48
Pai50.1%	53	52	56	47	54	46	45	51	44	49
Vanessa50.0%	47	50	51	51	49	52	47	52	48	50
Shun49.9%	52	49	50	48	53	46	51	52	50	50
Brad49.2%	52	49	46	48	51	48	50	48	47	54
Eileen48.5%	51	48	52	48	49	51	51	45	46	39
Lei Fei48.1%	47	52	49	51	46	51	41	48	48	49
El Blaze47.9%	47	47	46	51	44	52	35	48	51	52
Lau47.5%	54	43	47	44	52	46	47	45	45	50
Dural46.2%	46	37	48	48	45	42	47	50	60	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+0.0 pts behind walls (95% interval -1.1 to +1.1); within chance across the 20 characters tested, q=0.995

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
Wolf54.1%	55	52
Akira53.8%	53	54
Goh53.6%	54	52
Jacky51.6%	51	53
Taka51.6%	51	52
Aoi51.3%	51	51
Sarah50.8%	51	51
Jeffry50.5%	50	50
Kage50.4%	51	50
Lion50.1%	51	48
Pai50.1%	51	50
Vanessa50.0%	50	50
Shun49.9%	50	50
Brad49.2%	48	51
Eileen48.5%	48	47
Lei Fei48.1%	49	48
El Blaze47.9%	48	49
Lau47.5%	47	49
Dural46.2%	48	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
Goh52.3%	52	53	54	52	52	52	50	53	53	51
Wolf52.2%	54	53	52	54	51	52	51	52	52	50
Akira52.1%	52	52	51	53	52	52	53	51	53	51
Taka51.4%	53	50	55	51	50	49	52	53	46	54
Jacky51.1%	52	51	50	50	51	52	53	51	50	52
Aoi50.8%	49	52	53	51	53	51	51	51	49	49
Sarah50.7%	51	50	51	50	51	51	51	51	52	51
Shun50.6%	52	50	50	50	53	49	50	51	51	51
Jeffry50.3%	51	48	51	52	48	49	52	50	49	52
Kage50.2%	49	54	49	50	51	49	49	49	51	51
Lion50.0%	51	51	50	49	49	49	53	51	50	49
Pai50.0%	52	52	53	48	51	49	47	51	47	49
Vanessa49.9%	49	51	51	51	50	50	48	51	49	50
Brad49.7%	49	50	48	50	50	49	50	50	49	52
Lei Fei48.8%	48	50	50	51	47	50	45	48	49	49
El Blaze48.7%	48	48	48	50	46	51	42	49	50	50
Eileen48.6%	49	49	50	49	49	51	49	48	47	43
Lau48.3%	51	47	48	46	50	48	48	47	47	49
Dural47.6%	48	44	49	49	46	46	48	49	55	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+0.2 pts behind walls (95% interval -0.4 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
Goh52.3%	53	52
Wolf52.2%	53	51
Akira52.1%	52	52
Taka51.4%	51	51
Jacky51.1%	51	52
Aoi50.8%	51	51
Sarah50.7%	51	51
Shun50.6%	51	51
Jeffry50.3%	50	50
Kage50.2%	50	50
Lion50.0%	50	49
Pai50.0%	50	50
Vanessa49.9%	50	50
Brad49.7%	49	50
Lei Fei48.8%	49	49
El Blaze48.7%	49	49
Eileen48.6%	49	48
Lau48.3%	48	49
Dural47.6%	49	47

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	4.39%	13	39,609
North America	4.31%	12	12,145
South America	5.62%	7	17,934
Europe	3.43%	14	1,485
Oceania	0.84%	14	61
Middle East	0.19%	10	4
Not recorded	4.80%	10	7,879

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

Win rate53.2%

Standing#1 of 19 · tier S

Pick rate3.9%

Most picked#13 of 19

Matches counted29,409

Unique players582

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	56.10%	2,170	1,698	3,868
Goh	55.40%	872	702	1,574
Wolf	54.50%	1,483	1,238	2,721
Lion	54.08%	716	608	1,324
Kage	53.96%	668	570	1,238
Jeffry	53.93%	968	827	1,795
Jacky	53.83%	1,483	1,272	2,755
Sarah	53.72%	1,113	959	2,072
Aoi	53.18%	1,120	986	2,106
Eileen	52.35%	279	254	533
El Blaze	52.30%	524	478	1,002
Brad	52.08%	476	438	914
Lau	51.11%	596	570	1,166
Pai	51.00%	1,095	1,052	2,147
Lei Fei	50.46%	385	378	763
Shun	50.00%	893	893	1,786
Vanessa	49.48%	480	490	970
Taka	48.14%	220	237	457
Dural	44.95%	98	120	218

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
Akira56.1%	54	57	55	56	58	54	57	52	59	56
Goh55.4%	56	59	56	56	55	58	52	47	60	53
Wolf54.5%	56	59	54	57	54	50	50	49	54	53
Lion54.1%	55	53	50	56	57	50	65	59	53	50
Kage54.0%	46	56	53	55	56	57	57	53	56	52
Jeffry53.9%	59	49	57	57	45	57	54	53	51	55
Jacky53.8%	56	53	52	51	58	53	53	53	53	51
Sarah53.7%	57	48	59	55	54	50	60	51	51	53
Aoi53.2%	52	60	54	54	56	49	53	54	50	48
Eileen52.4%	47	53	64	38	59	56	51	45	58	48
El Blaze52.3%	58	54	42	55	47	60	40	55	55	54
Brad52.1%	62	59	46	55	58	42	49	46	50	55
Lau51.1%	58	47	48	47	55	50	52	47	48	55
Pai51.0%	55	54	61	45	54	49	41	55	43	51
Lei Fei50.5%	47	55	47	51	47	54	44	51	53	52
Shun50.0%	54	50	53	44	56	48	53	48	49	49
Vanessa49.5%	49	51	49	48	51	54	53	50	42	52
Taka48.1%	55	50	62	47	41	31	60	41	33	58
Dural45.0%	45	36	33	62	35	33	47	64	73	36

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls+0.4 pts behind walls (95% interval -1.3 to +2.0); within chance across the 20 characters tested, q=0.951

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
Akira56.1%	56	56
Goh55.4%	56	55
Wolf54.5%	55	53
Lion54.1%	54	52
Kage54.0%	53	55
Jeffry53.9%	54	52
Jacky53.8%	53	54
Sarah53.7%	54	52
Aoi53.2%	54	51
Eileen52.4%	51	55
El Blaze52.3%	52	54
Brad52.1%	52	51
Lau51.1%	49	54
Pai51.0%	52	51
Lei Fei50.5%	51	51
Shun50.0%	49	51
Vanessa49.5%	48	52
Taka48.1%	49	45
Dural45.0%	52	35

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
Goh53.6%	55	56	54	54	53	53	50	48	55	53
Akira53.3%	53	54	53	53	54	52	54	51	55	53
Wolf52.4%	53	56	52	54	53	50	49	51	51	51
Sarah52.4%	54	50	54	53	53	52	55	51	52	52
Lion52.4%	51	52	51	52	54	50	58	56	52	51
Jeffry52.3%	55	51	55	54	48	51	54	52	50	53
Kage52.2%	46	55	51	52	53	55	54	52	53	52
Aoi52.1%	50	55	54	52	54	50	53	52	51	50
Jacky52.1%	54	52	51	50	55	52	53	52	51	50
Eileen51.5%	48	53	57	46	54	54	49	49	54	52
Brad51.0%	56	54	49	52	53	46	49	50	49	51
El Blaze50.8%	53	50	45	53	49	55	46	52	51	53
Shun50.8%	53	50	52	48	55	51	50	49	51	49
Pai50.7%	52	53	56	47	51	50	45	53	47	51
Lau50.6%	54	50	50	47	51	52	51	48	48	53
Vanessa50.0%	50	51	50	50	51	51	49	52	45	52
Lei Fei50.0%	48	53	48	52	48	51	47	49	53	50
Taka49.2%	52	49	59	49	47	43	53	44	39	54
Dural46.3%	47	43	41	55	41	38	48	60	60	41

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 -0.6 to +1.1); within chance across the 20 characters tested, q=0.722

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
Goh53.6%	54	53
Akira53.3%	53	53
Wolf52.4%	53	51
Sarah52.4%	52	52
Lion52.4%	52	51
Jeffry52.3%	53	51
Kage52.2%	52	53
Aoi52.1%	52	51
Jacky52.1%	52	53
Eileen51.5%	51	53
Brad51.0%	51	50
El Blaze50.8%	50	52
Shun50.8%	50	52
Pai50.7%	52	51
Lau50.6%	50	52
Vanessa50.0%	50	51
Lei Fei50.0%	50	50
Taka49.2%	49	49
Dural46.3%	51	40

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	3.07%	14	8,367
North America	4.20%	11	8,036
South America	3.93%	14	7,237
Europe	3.24%	13	773
Oceania	0.88%	14	61
Middle East	0.00%	12	0
Not recorded	5.35%	8	6,153

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

Win rate49.8%

Standing#12 of 19 · tier B

Pick rate5.8%

Most picked#7 of 19

Matches counted43,299

Unique players295

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	53.89%	1,606	1,374	2,980
Goh	52.81%	1,429	1,277	2,706
Akira	52.32%	2,713	2,472	5,185
Taka	52.04%	370	341	711
Jacky	50.53%	2,237	2,190	4,427
Shun	50.08%	952	949	1,901
Vanessa	49.58%	822	836	1,658
Aoi	49.51%	918	936	1,854
Pai	49.13%	1,012	1,048	2,060
Eileen	48.91%	269	281	550
Kage	48.87%	1,497	1,566	3,063
Lei Fei	48.54%	884	937	1,821
Sarah	48.44%	1,162	1,237	2,399
Jeffry	48.22%	1,327	1,425	2,752
Brad	48.19%	1,147	1,233	2,380
Lion	47.74%	1,088	1,191	2,279
Lau	47.39%	1,262	1,401	2,663
Dural	47.05%	223	251	474
El Blaze	45.96%	660	776	1,436

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
Wolf53.9%	58	52	56	58	51	58	50	54	53	48
Goh52.8%	49	47	57	52	53	51	50	61	54	50
Akira52.3%	53	50	50	54	52	53	52	51	52	53
Taka52.0%	54	49	58	46	55	52	53	63	44	51
Jacky50.5%	51	50	49	51	48	50	56	48	49	56
Shun50.1%	51	47	47	52	52	43	51	55	51	51
Vanessa49.6%	46	48	51	52	47	51	43	53	50	49
Aoi49.5%	46	45	54	52	56	54	47	48	43	49
Pai49.1%	52	51	51	50	54	45	50	48	45	46
Eileen48.9%	55	48	51	55	43	55	52	46	30	40
Kage48.9%	47	55	48	48	47	43	45	47	51	54
Lei Fei48.5%	47	53	50	54	47	51	42	49	47	48
Sarah48.4%	44	52	44	46	50	50	44	48	52	49
Jeffry48.2%	47	45	49	51	48	45	52	50	43	52
Brad48.2%	49	46	45	47	50	50	51	48	45	54
Lion47.7%	51	52	49	47	44	46	50	44	49	46
Lau47.4%	53	43	50	45	52	46	46	45	45	48
Dural47.0%	46	37	55	44	50	45	46	42	55	55
El Blaze46.0%	41	42	53	48	43	47	33	46	47	52

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 -1.4 to +1.0); within chance across the 20 characters tested, q=0.860

How significance is decided

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

Walls Impact To Win Probability

Win rate in that matchup with a wall, and without

Opponent	Walls	No walls
Wolf53.9%	55	52
Goh52.8%	53	51
Akira52.3%	52	53
Taka52.0%	52	52
Jacky50.5%	50	52
Shun50.1%	51	49
Vanessa49.6%	50	49
Aoi49.5%	48	53
Pai49.1%	50	48
Eileen48.9%	49	46
Kage48.9%	50	48
Lei Fei48.5%	50	48
Sarah48.4%	48	50
Jeffry48.2%	47	48
Brad48.2%	47	51
Lion47.7%	49	45
Lau47.4%	47	49
Dural47.0%	47	50
El Blaze46.0%	46	47

Worse on this stageNo changeBetter on this stage

Stage Impact To Round WP

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

How significance is decided

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

Each matchup, stage by stage, in rounds

Round win rate in that matchup on that stage

Opponent	Full	Break. full	Half	Break. half	Low	Wall	Mixed	Oct	Rect	Open
Wolf52.1%	54	51	53	53	50	53	52	53	52	50
Goh51.7%	50	49	53	51	52	51	51	56	52	50
Akira51.3%	51	51	50	53	51	52	52	50	51	51
Taka51.2%	53	50	53	48	50	52	52	58	49	50
Shun50.6%	51	49	49	51	51	47	51	52	52	53
Jacky50.5%	51	51	50	50	49	50	53	50	49	53
Aoi49.6%	47	48	52	50	52	52	49	50	47	49
Vanessa49.5%	48	50	49	51	49	49	46	50	50	49
Kage49.3%	49	53	49	49	50	47	47	48	51	51
Sarah49.2%	47	50	47	48	49	50	46	50	52	50
Brad49.2%	47	49	48	49	49	49	51	49	48	52
Pai49.1%	51	50	49	49	52	47	49	49	48	47
Jeffry49.1%	48	47	50	50	49	48	51	49	48	51
Lei Fei49.1%	49	50	52	52	48	49	46	49	48	49
Eileen49.0%	51	49	49	53	47	54	51	48	38	44
Lion48.6%	51	51	49	47	47	48	50	47	49	48
Dural48.5%	49	44	52	48	48	49	47	44	53	53
Lau48.1%	51	47	49	47	50	47	47	47	47	48
El Blaze47.7%	45	45	52	48	46	49	40	48	49	50

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls+0.1 pts behind walls (95% interval -0.5 to +0.7); within chance across the 20 characters tested, q=0.961

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
Wolf52.1%	53	51
Goh51.7%	52	51
Akira51.3%	51	51
Taka51.2%	51	51
Shun50.6%	51	50
Jacky50.5%	50	51
Aoi49.6%	49	51
Vanessa49.5%	50	49
Kage49.3%	50	49
Sarah49.2%	49	50
Brad49.2%	48	50
Pai49.1%	49	49
Jeffry49.1%	49	49
Lei Fei49.1%	50	49
Eileen49.0%	49	49
Lion48.6%	49	48
Dural48.5%	49	50
Lau48.1%	48	48
El Blaze47.7%	48	48

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	5.62%	7	28,607
South America	7.93%	2	10,662
North America	4.68%	10	3,977
Europe	4.13%	10	687
Middle East	0.39%	8	4
Oceania	0.00%	13	0
Not recorded	3.57%	13	1,614

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

Win rate46.2%

Standing#17 of 19 · tier C

Pick rate2.2%

Most picked#19 of 19

Matches counted2,891

Unique players45

Period2026/03/26 – 2026/10/18

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Taka	63.55%	68	39	107
Vanessa	57.39%	101	75	176
Kage	52.27%	115	105	220
Wolf	50.88%	58	56	114
Lion	50.39%	128	126	254
Akira	50.21%	120	119	239
Jeffry	50.00%	49	49	98
Pai	50.00%	60	60	120
Sarah	48.89%	44	46	90
Brad	48.82%	62	65	127
Jacky	47.62%	120	132	252
Goh	47.37%	54	60	114
Shun	46.09%	59	69	128
Aoi	41.79%	28	39	67
Dural	38.46%	5	8	13
Lei Fei	35.82%	72	129	201
Lau	35.67%	122	220	342
El Blaze	33.62%	39	77	116
Eileen	28.32%	32	81	113

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
Taka63.5%	67	46	44	79	62	71	·	75	60	100
Vanessa57.4%	44	62	65	57	65	46	100	57	69	53
Kage52.3%	74	53	48	61	52	57	62	27	44	50
Wolf50.9%	40	64	57	55	60	30	57	36	52	42
Lion50.4%	42	52	62	38	41	60	83	53	44	65
Akira50.2%	48	52	59	36	40	47	57	45	71	45
Jeffry50.0%	69	67	30	100	44	40	50	42	53	50
Pai50.0%	58	25	50	46	67	17	40	27	80	69
Sarah48.9%	50	54	71	50	40	67	0	38	38	50
Brad48.8%	33	38	53	33	22	61	25	55	60	56
Jacky47.6%	40	34	45	33	52	69	17	66	41	47
Goh47.4%	53	83	54	39	28	80	67	43	33	38
Shun46.1%	42	67	45	53	12	50	29	40	41	57
Aoi41.8%	62	67	29	67	50	33	·	·	25	0
Dural38.5%	·	50	·	0	67	·	·	·	100	0
Lei Fei35.8%	36	25	44	32	30	47	31	26	47	38
Lau35.7%	33	32	33	32	43	38	31	36	41	42
El Blaze33.6%	40	53	24	56	18	44	0	25	67	29
Eileen28.3%	50	22	14	46	27	11	0	40	29	25

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 -5.7 to +3.5); within chance across the 20 characters tested, q=0.829

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
Taka63.5%	58	76
Vanessa57.4%	59	55
Kage52.3%	52	54
Wolf50.9%	52	44
Lion50.4%	47	52
Akira50.2%	52	44
Jeffry50.0%	54	45
Pai50.0%	46	60
Sarah48.9%	48	55
Brad48.8%	46	53
Jacky47.6%	44	57
Goh47.4%	49	39
Shun46.1%	49	40
Aoi41.8%	50	32
Dural38.5%	38	40
Lei Fei35.8%	35	38
Lau35.7%	34	41
El Blaze33.6%	38	30
Eileen28.3%	33	23

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
Taka62.5%	67	52	49	76	60	63	·	69	59	91
Vanessa53.9%	49	56	62	53	55	46	60	52	61	51
Kage51.5%	63	52	50	54	50	55	56	40	48	50
Wolf51.1%	43	61	52	51	54	45	52	45	54	44
Pai50.7%	54	44	54	45	55	33	48	39	64	59
Lion50.2%	46	53	56	43	47	54	63	54	47	56
Sarah49.9%	57	50	57	54	46	61	40	41	45	54
Akira49.7%	49	51	54	43	43	46	45	48	60	50
Brad49.7%	43	44	51	41	39	55	31	54	58	51
Jacky49.6%	47	44	48	46	49	62	33	59	41	48
Jeffry49.4%	57	58	41	81	44	42	44	45	56	46
Goh49.3%	51	71	53	46	39	71	54	45	50	42
Shun48.8%	48	56	49	48	28	45	41	51	49	55
Aoi43.7%	52	50	39	54	50	38	·	·	36	21
El Blaze42.8%	45	52	38	53	29	48	25	44	58	37
Lei Fei41.8%	43	33	47	40	36	48	38	42	44	42
Lau41.6%	38	37	42	40	47	42	37	43	45	43
Dural38.0%	·	47	·	18	50	·	·	·	60	14
Eileen32.2%	48	31	26	40	31	13	0	47	38	25

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 -1.8 to +3.1); 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
Taka62.5%	59	69
Vanessa53.9%	56	51
Kage51.5%	52	52
Wolf51.1%	52	48
Pai50.7%	49	53
Lion50.2%	49	51
Sarah49.9%	49	55
Akira49.7%	51	47
Brad49.7%	49	51
Jacky49.6%	48	54
Jeffry49.4%	52	44
Goh49.3%	50	44
Shun48.8%	50	43
Aoi43.7%	47	39
El Blaze42.8%	46	38
Lei Fei41.8%	42	42
Lau41.6%	41	44
Dural38.0%	39	37
Eileen32.2%	38	24

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	2.17%	19	2,635
North America	2.46%	12	132
Europe	0.90%	17	25
South America	4.91%	6	35
Not recorded	2.69%	10	112

Jean

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