Matchups · Muska • Wavu Wank

Muska

57nN-7JdD-N7y8 76561198794682167 Middle East

Ratings

Leaderboard (σ² < 75)

King

μ 1860

^{σ² 64}

2713 games

Heihachi

μ 1737

^{σ² 62}

750 games

Unqualified (σ² < 110)

Feng

μ 1774

^{σ² 102}

217 games

Paul

μ 1631

^{σ² 100}

49 games

Games Opps Matchups

Muska vs Dragunov	177–113	61.03%
Muska vs Bryan	141–128	52.42%
Muska vs Jin	116–87	57.14%
Muska vs King	119–81	59.50%
Muska vs Law	103–55	65.19%
Muska vs Paul	96–54	64.00%
Muska vs Steve	85–64	57.05%
Muska vs Hwoarang	88–59	59.86%
Muska vs Jack-8	89–53	62.68%
Muska vs Yoshimitsu	80–61	56.74%
Muska vs Feng	70–59	54.26%
Muska vs Kazuya	75–51	59.52%
Muska vs Reina	84–33	71.79%
Muska vs Eddy	53–59	47.32%
Muska vs Heihachi	53–57	48.18%
Muska vs Victor	66–38	63.46%
Muska vs Nina	54–48	52.94%
Muska vs Devil Jin	51–36	58.62%
Muska vs Lee	53–34	60.92%
Muska vs Leo	35–40	46.67%
Muska vs Lili	46–28	62.16%
Muska vs Lars	37–37	50.00%
Muska vs Claudio	38–31	55.07%
Muska vs Azucena	36–30	54.55%
Muska vs Raven	29–37	43.94%
Muska vs Shaheen	30–33	47.62%
Muska vs Leroy	30–33	47.62%
Muska vs Asuka	40–20	66.67%
Muska vs Zafina	29–24	54.72%
Muska vs Kuma	29–23	55.77%
Muska vs Lidia	18–33	35.29%
Muska vs Xiaoyu	16–33	32.65%
Muska vs Alisa	30–13	69.77%
Muska vs Jun	20–18	52.63%
Muska vs Clive	4–4	50.00%
Muska vs Panda	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.