Matchups · .... • Wavu Wank

....

2NeD-FHaF-n67B xNewB JL America

Ratings

Unqualified (σ² < 110)

Xiaoyu

μ 1777

^{σ² 77}

1024 games

Name history

....
AOPer
Just
Knicks in 5
Justin

Games Opps Matchups

.... vs King	37–23	61.67%
.... vs Law	33–21	61.11%
.... vs Hwoarang	26–21	55.32%
.... vs Jin	26–20	56.52%
.... vs Bryan	26–20	56.52%
.... vs Yoshimitsu	24–21	53.33%
.... vs Kazuya	29–16	64.44%
.... vs Steve	27–17	61.36%
.... vs Lee	21–22	48.84%
.... vs Xiaoyu	22–18	55.00%
.... vs Lars	23–16	58.97%
.... vs Azucena	21–18	53.85%
.... vs Dragunov	24–13	64.86%
.... vs Reina	20–15	57.14%
.... vs Paul	17–17	50.00%
.... vs Lili	16–18	47.06%
.... vs Nina	19–13	59.38%
.... vs Eddy	21–8	72.41%
.... vs Asuka	16–10	61.54%
.... vs Devil Jin	11–15	42.31%
.... vs Jun	6–18	25.00%
.... vs Leroy	8–12	40.00%
.... vs Raven	7–12	36.84%
.... vs Lidia	12–6	66.67%
.... vs Victor	11–6	64.71%
.... vs Kuma	12–4	75.00%
.... vs Leo	9–6	60.00%
.... vs Jack-8	6–8	42.86%
.... vs Feng	7–7	50.00%
.... vs Zafina	9–5	64.29%
.... vs Heihachi	8–3	72.73%
.... vs Claudio	3–7	30.00%
.... vs Shaheen	5–5	50.00%
.... vs Alisa	4–4	50.00%
.... vs Anna	2–2	50.00%
.... vs Panda	3–0	100.00%
.... vs Clive	1–1	50.00%
.... vs Fahkumram	2–0	100.00%
.... vs Armor King	0–2	0.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.