Virtua Fighter 5 REVO · v1.10 · Every character

Vanessa

Mid and high combined29,209 matchesMid ranks22,917 matchesHigh ranks6,292 matches

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

Win rate48.7%

Standing#18 of 19 · tier D

Pick rate3.9%

Most picked#16 of 19

Matches counted29,209

Unique players202

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Jeffry	52.58%	897	809	1,706
Wolf	51.92%	810	750	1,560
Goh	51.68%	844	789	1,633
Akira	49.81%	1,586	1,598	3,184
Jacky	49.57%	1,498	1,524	3,022
Jean	49.24%	808	833	1,641
Shun	48.92%	768	802	1,570
Aoi	48.78%	599	629	1,228
Dural	48.64%	107	113	220
Sarah	48.38%	792	845	1,637
Pai	48.31%	629	673	1,302
Brad	47.82%	746	814	1,560
Kage	47.69%	928	1,018	1,946
Taka	47.52%	278	307	585
Lei Fei	46.86%	574	651	1,225
Lion	46.35%	851	985	1,836
Lau	45.69%	849	1,009	1,858
El Blaze	45.23%	455	551	1,006
Eileen	41.63%	204	286	490

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

Stage Impact To Win Probability

Change from this character's own 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
Jeffry52.6%	52	54	56	53	53	53	57	47	47	53
Wolf51.9%	54	47	48	56	58	54	55	49	52	50
Goh51.7%	51	53	56	46	56	56	54	50	55	44
Akira49.8%	55	52	47	49	53	49	52	46	52	46
Jacky49.6%	50	47	51	43	57	52	47	46	51	53
Jean49.2%	54	51	48	48	50	49	53	45	46	50
Shun48.9%	50	55	46	43	46	54	42	49	45	57
Aoi48.8%	56	49	50	49	49	46	53	47	49	46
Dural48.6%	48	75	52	39	42	32	62	36	58	57
Sarah48.4%	50	47	47	41	53	53	52	43	49	50
Pai48.3%	53	48	41	51	45	46	46	47	53	48
Brad47.8%	43	51	59	48	48	52	43	50	46	40
Kage47.7%	41	45	43	47	54	51	45	52	48	47
Taka47.5%	44	44	52	42	55	42	74	43	49	52
Lei Fei46.9%	51	43	44	46	50	52	54	48	46	41
Lion46.4%	51	49	42	43	50	44	60	39	45	45
Lau45.7%	45	42	50	43	44	46	49	44	54	45
El Blaze45.2%	48	41	47	45	43	47	36	47	44	44
Eileen41.6%	33	36	54	48	43	39	38	41	43	44

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-1.3 pts behind walls (95% interval -2.7 to +0.1); within chance across the 20 characters tested, q=0.235

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
Jeffry52.6%	51	53
Wolf51.9%	51	54
Goh51.7%	52	53
Akira49.8%	50	49
Jacky49.6%	48	54
Jean49.2%	49	50
Shun48.9%	48	53
Aoi48.8%	50	47
Dural48.6%	50	43
Sarah48.4%	46	52
Pai48.3%	49	46
Brad47.8%	49	47
Kage47.7%	46	51
Taka47.5%	46	49
Lei Fei46.9%	46	47
Lion46.4%	45	47
Lau45.7%	46	45
El Blaze45.2%	46	44
Eileen41.6%	42	42

Worse on this stageNo changeBetter on this stage

Stage Impact To Round 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
Jeffry51.5%	51	52	53	52	53	51	55	48	50	51
Wolf51.2%	53	49	51	52	54	52	52	50	50	50
Goh50.8%	52	51	51	48	53	54	53	50	52	46
Shun50.2%	51	53	49	47	48	52	47	50	49	55
Jacky50.0%	51	48	50	48	53	51	49	47	50	52
Akira49.9%	51	51	49	50	51	49	52	48	51	48
Jean49.8%	51	50	49	49	50	50	52	49	48	50
Pai49.2%	51	49	45	51	49	47	49	49	51	49
Sarah49.0%	49	49	48	46	52	51	51	47	50	49
Aoi49.0%	53	50	50	50	49	47	50	48	48	47
Dural48.8%	53	61	52	46	43	41	52	43	51	55
Brad48.6%	46	50	55	50	49	51	45	49	47	45
Kage48.6%	46	47	46	49	52	49	47	51	49	48
Lei Fei48.4%	52	47	46	49	49	52	51	47	47	46
Lion48.3%	49	51	45	47	50	47	54	47	47	47
Lau47.6%	47	46	49	47	47	47	48	47	51	48
El Blaze47.4%	49	44	47	49	46	47	42	48	49	46
Taka47.1%	43	45	50	43	50	44	61	45	47	50
Eileen45.9%	41	44	52	48	49	44	42	48	47	45

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 -1.1 to +0.3); within chance across the 20 characters tested, q=0.407

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
Jeffry51.5%	51	52
Wolf51.2%	51	52
Goh50.8%	51	51
Shun50.2%	50	51
Jacky50.0%	49	52
Akira49.9%	50	49
Jean49.8%	50	50
Pai49.2%	49	48
Sarah49.0%	48	51
Aoi49.0%	50	48
Dural48.8%	51	45
Brad48.6%	49	48
Kage48.6%	48	49
Lei Fei48.4%	48	49
Lion48.3%	48	48
Lau47.6%	48	47
El Blaze47.4%	48	46
Taka47.1%	46	48
Eileen45.9%	46	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	3.74%	17	20,190
South America	5.59%	7	6,275
North America	3.00%	17	2,271
Europe	1.82%	18	317
Middle East	0.00%	19	0
Oceania	0.00%	18	0
Not recorded	3.59%	10	1,308

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

Win rate49.9%

Standing#11 of 19 · tier B

Pick rate3.5%

Most picked#17 of 19

Matches counted22,917

Unique players187

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Taka	52.80%	198	177	375
Wolf	52.49%	706	639	1,345
Goh	51.60%	661	620	1,281
Jeffry	51.53%	774	728	1,502
Jacky	51.42%	1,161	1,097	2,258
Akira	51.29%	1,290	1,225	2,515
Lei Fei	51.05%	463	444	907
Jean	49.97%	743	744	1,487
Aoi	49.87%	557	560	1,117
Shun	49.11%	578	599	1,177
Kage	49.00%	711	740	1,451
Sarah	48.96%	658	686	1,344
Pai	48.84%	527	552	1,079
Brad	48.24%	577	619	1,196
El Blaze	48.12%	371	400	771
Lion	47.27%	588	656	1,244
Dural	47.24%	94	105	199
Lau	46.90%	627	710	1,337
Eileen	43.07%	143	189	332

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

Stage Impact To Win Probability

Change from this character's own 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
Taka52.8%	50	51	53	47	62	55	80	50	50	55
Wolf52.5%	56	49	49	58	57	51	51	50	54	49
Goh51.6%	52	51	57	49	59	54	51	50	55	42
Jeffry51.5%	51	55	55	50	53	53	56	47	47	50
Jacky51.4%	52	49	51	44	60	54	46	48	51	55
Akira51.3%	57	54	51	50	51	50	55	48	56	46
Lei Fei51.0%	53	47	50	48	54	57	57	53	51	44
Jean50.0%	54	52	49	49	52	50	53	46	48	50
Aoi49.9%	57	50	50	51	53	47	55	49	49	45
Shun49.1%	47	57	47	40	48	55	45	48	40	63
Kage49.0%	44	45	41	48	58	53	47	55	50	46
Sarah49.0%	51	47	49	43	55	52	48	44	48	52
Pai48.8%	56	47	42	49	48	45	46	49	51	48
Brad48.2%	47	51	59	49	46	52	48	50	44	42
El Blaze48.1%	51	42	56	49	44	48	29	50	47	52
Lion47.3%	54	51	40	41	55	44	61	38	47	47
Dural47.2%	45	73	53	38	41	21	50	38	58	58
Lau46.9%	45	45	54	39	48	48	49	45	56	46
Eileen43.1%	42	39	52	53	43	33	41	50	37	45

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-1.2 pts behind walls (95% interval -2.8 to +0.4); within chance across the 20 characters tested, q=0.380

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
Taka52.8%	50	57
Wolf52.5%	53	53
Goh51.6%	52	53
Jeffry51.5%	51	52
Jacky51.4%	49	57
Akira51.3%	52	49
Lei Fei51.0%	50	51
Jean50.0%	50	51
Aoi49.9%	51	48
Shun49.1%	47	55
Kage49.0%	47	52
Sarah49.0%	47	53
Pai48.8%	49	47
Brad48.2%	50	46
El Blaze48.1%	49	47
Lion47.3%	45	49
Dural47.2%	50	40
Lau46.9%	47	47
Eileen43.1%	45	40

Worse on this stageNo changeBetter on this stage

Stage Impact To Round 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
Wolf51.4%	54	49	52	53	53	49	50	50	52	50
Goh50.9%	53	50	52	49	54	53	51	50	53	46
Jeffry50.9%	50	52	52	50	53	51	55	49	49	49
Jacky50.8%	52	50	51	48	55	52	48	48	50	53
Akira50.7%	53	52	50	51	50	49	55	49	53	49
Lei Fei50.5%	53	49	49	50	52	55	52	51	49	48
Shun50.3%	50	54	50	46	48	52	49	50	46	58
Jean50.2%	51	51	51	50	51	50	52	49	49	50
Taka50.2%	48	49	51	46	52	52	63	49	48	51
Pai49.7%	52	49	46	50	50	48	49	50	50	49
Aoi49.6%	53	51	50	51	50	48	50	49	48	46
Sarah49.3%	49	49	49	47	53	50	50	47	50	50
Kage49.2%	47	47	46	49	53	50	48	52	50	48
Brad48.8%	48	50	55	51	49	51	46	49	46	46
El Blaze48.8%	50	45	52	51	46	48	40	49	51	49
Lion48.7%	50	52	44	46	53	47	54	46	47	49
Lau48.3%	47	47	52	47	49	48	49	47	53	48
Dural48.1%	51	61	53	45	42	35	44	45	51	56
Eileen47.0%	47	44	51	53	50	42	45	52	43	46

Worse on this stageNo changeBetter on this stage

Walls Impact To Round Win Probability

Against this character's own round rate, in points

Walls or no walls-0.3 pts behind walls (95% interval -1.1 to +0.5); within chance across the 20 characters tested, q=0.711

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
Wolf51.4%	52	51
Goh50.9%	51	51
Jeffry50.9%	50	51
Jacky50.8%	50	53
Akira50.7%	51	49
Lei Fei50.5%	50	51
Shun50.3%	49	53
Jean50.2%	50	50
Taka50.2%	49	52
Pai49.7%	50	49
Aoi49.6%	50	48
Sarah49.3%	49	51
Kage49.2%	49	50
Brad48.8%	50	49
El Blaze48.8%	50	48
Lion48.7%	47	50
Lau48.3%	49	48
Dural48.1%	51	44
Eileen47.0%	48	45

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	3.30%	17	14,449
South America	5.62%	7	6,275
North America	2.47%	17	1,768
Europe	1.70%	16	249
Middle East	0.00%	19	0
Oceania	0.00%	18	0
Not recorded	3.11%	14	1,030

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

Win rate44.4%

Standing#19 of 19 · tier D

Pick rate5.8%

Most picked#6 of 19

Matches counted6,292

Unique players30

Period2026/03/26 – 2026/09/23

Against the roster

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

Opponent	Win %	Wins	Losses	Matches
Dural	61.90%	13	8	21
Jeffry	60.29%	123	81	204
Goh	51.99%	183	169	352
Wolf	48.37%	104	111	215
Shun	48.35%	190	203	393
Brad	46.43%	169	195	364
Pai	45.74%	102	121	223
Sarah	45.73%	134	159	293
Lion	44.43%	263	329	592
Akira	44.25%	296	373	669
Jacky	44.11%	337	427	764
Kage	43.84%	217	278	495
Lau	42.61%	222	299	521
Jean	42.21%	65	89	154
Eileen	38.61%	61	97	158
Taka	38.10%	80	130	210
Aoi	37.84%	42	69	111
El Blaze	35.74%	84	151	235
Lei Fei	34.91%	111	207	318

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

Stage Impact To Win Probability

Change from this character's own 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
Dural61.9%	100	100	50	50	50	67	100	0	·	50
Jeffry60.3%	67	50	65	68	50	55	65	48	50	76
Goh52.0%	46	60	50	41	46	67	67	50	52	49
Wolf48.4%	44	38	36	48	60	65	83	37	37	55
Shun48.4%	62	51	43	49	42	49	35	51	62	43
Brad46.4%	32	50	58	44	54	53	32	50	57	30
Pai45.7%	39	50	36	57	9	50	47	33	59	47
Sarah45.7%	41	47	36	32	46	58	69	42	55	43
Lion44.4%	45	44	46	47	42	45	58	44	43	38
Akira44.2%	46	45	36	48	59	44	40	35	39	43
Jacky44.1%	44	37	48	41	42	48	47	37	50	46
Kage43.8%	34	43	49	46	42	47	39	44	39	50
Lau42.6%	47	35	37	50	33	37	47	39	51	43
Jean42.2%	60	39	36	43	31	45	·	41	29	47
Eileen38.6%	13	32	58	41	44	62	0	25	52	38
Taka38.1%	29	32	52	29	45	28	50	30	47	41
Aoi37.8%	25	40	55	33	23	36	33	25	56	54
El Blaze35.7%	36	40	23	32	41	43	64	36	33	21
Lei Fei34.9%	45	36	22	35	39	43	44	29	32	32

Worse on this stageNo changeBetter on this stage

Walls Impact To Win Probability

Against this character's own rate, in points

Walls or no walls-1.4 pts behind walls (95% interval -4.4 to +1.6); within chance across the 20 characters tested, q=0.711

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
Dural61.9%	57	58
Jeffry60.3%	57	63
Goh52.0%	50	53
Wolf48.4%	41	60
Shun48.4%	52	44
Brad46.4%	48	47
Pai45.7%	48	39
Sarah45.7%	43	48
Lion44.4%	45	42
Akira44.2%	41	49
Jacky44.1%	43	45
Kage43.8%	43	46
Lau42.6%	44	37
Jean42.2%	41	41
Eileen38.6%	37	49
Taka38.1%	37	36
Aoi37.8%	39	38
El Blaze35.7%	32	37
Lei Fei34.9%	34	38

Worse on this stageNo changeBetter on this stage

Stage Impact To Round 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
Jeffry56.1%	59	50	57	64	50	54	57	47	52	68
Dural55.6%	100	60	43	57	47	59	75	0	·	50
Goh50.5%	49	53	47	45	49	57	61	50	50	48
Shun49.8%	54	50	45	49	46	50	43	51	61	48
Wolf49.6%	47	46	44	49	54	64	68	45	41	51
Brad48.0%	41	51	56	48	48	52	42	47	54	41
Sarah47.7%	44	47	44	39	49	55	59	47	52	48
Jacky47.6%	47	44	50	48	46	49	51	45	49	49
Lion47.4%	47	48	49	50	46	46	55	49	47	43
Kage46.8%	42	46	48	49	46	47	43	49	45	49
Akira46.8%	46	49	42	48	55	49	44	44	45	45
Pai46.6%	43	50	39	52	27	46	47	42	55	48
Lau45.8%	48	43	41	48	41	44	47	46	49	47
Jean45.6%	53	44	38	46	44	50	·	47	36	49
Eileen43.6%	29	44	54	42	44	52	14	39	52	44
El Blaze42.8%	42	43	34	44	45	45	50	44	43	36
Aoi42.7%	35	44	51	39	36	39	40	35	48	54
Lei Fei42.5%	48	43	35	44	44	47	50	35	43	41
Taka41.2%	32	37	49	35	46	36	46	36	46	45

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 -2.3 to +0.8); within chance across the 20 characters tested, q=0.546

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
Jeffry56.1%	54	59
Dural55.6%	52	54
Goh50.5%	49	51
Shun49.8%	52	48
Wolf49.6%	46	56
Brad48.0%	49	47
Sarah47.7%	46	50
Jacky47.6%	47	48
Lion47.4%	48	45
Kage46.8%	47	47
Akira46.8%	45	50
Pai46.6%	48	42
Lau45.8%	46	43
Jean45.6%	44	48
Eileen43.6%	43	47
El Blaze42.8%	41	43
Aoi42.7%	43	43
Lei Fei42.5%	42	45
Taka41.2%	40	41

Worse on this stageNo changeBetter on this stage

Where they are played

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

Region	Share	Standing	Appearances
Asia	5.63%	8	5,741
North America	11.99%	2	503
Europe	2.47%	14	68
South America	0.00%	19	0
Not recorded	8.52%	4	278