Matchups · @좋쿠나 • Wavu Wank

@좋쿠나

5ry9-M2Jy-ByaT jootkuna Asia

Ratings

Unqualified (σ² < 110)

Asuka

μ 1862

^{σ² 91}

1947 games

Jun

μ 1833

^{σ² 91}

2224 games

Alisa

μ 1788

^{σ² 88}

1162 games

Lili

μ 1558

^{σ² 87}

184 games

Clive

μ 1546

^{σ² 104}

742 games

Hwoarang

μ 1353

^{σ² 98}

137 games

Provisional (σ² ≥ 110)

Shaheen

μ 1701

^{σ² 250}

2 games

Xiaoyu

μ 1637

^{σ² 141}

1378 games

Nina

μ 1590

^{σ² 142}

294 games

Games Opps Matchups

@좋쿠나 vs King	219–211	50.93%
@좋쿠나 vs Bryan	195–186	51.18%
@좋쿠나 vs Hwoarang	215–160	57.33%
@좋쿠나 vs Jin	170–188	47.49%
@좋쿠나 vs Kazuya	186–157	54.23%
@좋쿠나 vs Paul	131–183	41.72%
@좋쿠나 vs Dragunov	181–132	57.83%
@좋쿠나 vs Asuka	160–124	56.34%
@좋쿠나 vs Reina	160–113	58.61%
@좋쿠나 vs Law	149–116	56.23%
@좋쿠나 vs Steve	128–126	50.39%
@좋쿠나 vs Lars	115–134	46.18%
@좋쿠나 vs Victor	128–118	52.03%
@좋쿠나 vs Lili	115–122	48.52%
@좋쿠나 vs Jun	110–110	50.00%
@좋쿠나 vs Lee	103–97	51.50%
@좋쿠나 vs Heihachi	92–105	46.70%
@좋쿠나 vs Yoshimitsu	98–98	50.00%
@좋쿠나 vs Leroy	99–94	51.30%
@좋쿠나 vs Azucena	98–93	51.31%
@좋쿠나 vs Claudio	69–117	37.10%
@좋쿠나 vs Devil Jin	87–97	47.28%
@좋쿠나 vs Feng	91–93	49.46%
@좋쿠나 vs Clive	93–87	51.67%
@좋쿠나 vs Nina	95–81	53.98%
@좋쿠나 vs Leo	77–87	46.95%
@좋쿠나 vs Alisa	70–93–1	42.94%
@좋쿠나 vs Eddy	92–71	56.44%
@좋쿠나 vs Jack-8	73–89	45.06%
@좋쿠나 vs Lidia	80–55	59.26%
@좋쿠나 vs Zafina	54–76	41.54%
@좋쿠나 vs Raven	47–80	37.01%
@좋쿠나 vs Xiaoyu	73–53	57.94%
@좋쿠나 vs Kuma	53–61	46.49%
@좋쿠나 vs Shaheen	45–64	41.28%
@좋쿠나 vs Anna	39–51	43.33%
@좋쿠나 vs Fahkumram	51–37	57.95%
@좋쿠나 vs Panda	39–30	56.52%

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.