Twocats vs Kazuya | 62–64 | 49.21% |
Twocats vs Reina | 60–65 | 48.00% |
Twocats vs Hwoarang | 52–59 | 46.85% |
Twocats vs King | 35–70 | 33.33% |
Twocats vs Jin | 43–62 | 40.95% |
Twocats vs Steve | 47–53 | 47.00% |
Twocats vs Eddy | 32–59 | 35.16% |
Twocats vs Bryan | 38–49 | 43.68% |
Twocats vs Law | 42–42 | 50.00% |
Twocats vs Jun | 38–31 | 55.07% |
Twocats vs Paul | 25–40 | 38.46% |
Twocats vs Yoshimitsu | 24–39 | 38.10% |
Twocats vs Asuka | 29–32 | 47.54% |
Twocats vs Azucena | 27–32 | 45.76% |
Twocats vs Dragunov | 29–29 | 50.00% |
Twocats vs Devil Jin | 14–31 | 31.11% |
Twocats vs Lili | 19–26 | 42.22% |
Twocats vs Lee | 20–25 | 44.44% |
Twocats vs Leo | 19–25 | 43.18% |
Twocats vs Victor | 17–26 | 39.53% |
Twocats vs Lars | 15–24 | 38.46% |
Twocats vs Clive | 19–19 | 50.00% |
Twocats vs Alisa | 18–19 | 48.65% |
Twocats vs Lidia | 20–16 | 55.56% |
Twocats vs Leroy | 14–21 | 40.00% |
Twocats vs Xiaoyu | 16–18 | 47.06% |
Twocats vs Jack-8 | 11–22 | 33.33% |
Twocats vs Nina | 13–19 | 40.62% |
Twocats vs Heihachi | 13–14 | 48.15% |
Twocats vs Feng | 10–15 | 40.00% |
Twocats vs Raven | 14–11 | 56.00% |
Twocats vs Claudio | 7–12 | 36.84% |
Twocats vs Shaheen | 6–13 | 31.58% |
Twocats vs Panda | 8–8 | 50.00% |
Twocats vs Kuma | 5–10 | 33.33% |
Twocats vs Zafina | 8–7 | 53.33% |
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.