Matchups · no name • Wavu Wank

no name

2mBm-6FdJ-t9MQ 76561198392538859 Asia

Ratings

Provisional (σ² ≥ 110)

Feng

μ 1594

^{σ² 121}

1346 games

Asuka

μ 1509

^{σ² 185}

11 games

Games Opps Matchups

no name vs Hwoarang	31–61	33.70%
no name vs Dragunov	39–35	52.70%
no name vs Reina	33–38	46.48%
no name vs King	37–24	60.66%
no name vs Paul	36–23	61.02%
no name vs Alisa	37–22	62.71%
no name vs Jin	27–31	46.55%
no name vs Feng	20–32	38.46%
no name vs Lili	37–15	71.15%
no name vs Asuka	27–24	52.94%
no name vs Yoshimitsu	26–23	53.06%
no name vs Kazuya	21–25	45.65%
no name vs Bryan	23–20	53.49%
no name vs Leo	16–23	41.03%
no name vs Steve	18–18	50.00%
no name vs Lee	15–21	41.67%
no name vs Victor	10–26	27.78%
no name vs Lidia	20–15	57.14%
no name vs Claudio	19–15	55.88%
no name vs Jun	18–13	58.06%
no name vs Law	18–12	60.00%
no name vs Eddy	15–15	50.00%
no name vs Xiaoyu	14–15	48.28%
no name vs Jack-8	14–15	48.28%
no name vs Lars	11–18	37.93%
no name vs Azucena	11–15	42.31%
no name vs Devil Jin	8–16	33.33%
no name vs Raven	11–13	45.83%
no name vs Nina	18–5	78.26%
no name vs Zafina	7–15	31.82%
no name vs Leroy	13–9	59.09%
no name vs Shaheen	9–8	52.94%
no name vs Kuma	13–4	76.47%
no name vs Heihachi	7–8	46.67%
no name vs Panda	4–1	80.00%
no name vs Clive	0–1	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.