| Clothos vs Kazuya | 77–126 | 37.93% |
| Clothos vs Dragunov | 98–94 | 51.04% |
| Clothos vs Reina | 80–108 | 42.55% |
| Clothos vs King | 82–94 | 46.59% |
| Clothos vs Jin | 72–99 | 42.11% |
| Clothos vs Bryan | 76–91 | 45.51% |
| Clothos vs Paul | 77–78 | 49.68% |
| Clothos vs Hwoarang | 63–82 | 43.45% |
| Clothos vs Lili | 67–62 | 51.94% |
| Clothos vs Steve | 56–48 | 53.85% |
| Clothos vs Victor | 55–49 | 52.88% |
| Clothos vs Feng | 37–57 | 39.36% |
| Clothos vs Jun | 49–45 | 52.13% |
| Clothos vs Asuka | 44–41 | 51.76% |
| Clothos vs Azucena | 41–44 | 48.24% |
| Clothos vs Claudio | 38–46 | 45.24% |
| Clothos vs Eddy | 46–38 | 54.76% |
| Clothos vs Law | 40–43 | 48.19% |
| Clothos vs Devil Jin | 36–47 | 43.37% |
| Clothos vs Alisa | 35–39 | 47.30% |
| Clothos vs Leroy | 37–37 | 50.00% |
| Clothos vs Yoshimitsu | 36–36 | 50.00% |
| Clothos vs Lars | 23–48 | 32.39% |
| Clothos vs Nina | 29–42 | 40.85% |
| Clothos vs Lidia | 30–38 | 44.12% |
| Clothos vs Xiaoyu | 32–28 | 53.33% |
| Clothos vs Lee | 25–33 | 43.10% |
| Clothos vs Zafina | 22–25 | 46.81% |
| Clothos vs Kuma | 21–24 | 46.67% |
| Clothos vs Jack-8 | 14–22 | 38.89% |
| Clothos vs Panda | 16–17 | 48.48% |
| Clothos vs Leo | 10–18 | 35.71% |
| Clothos vs Raven | 7–21 | 25.00% |
| Clothos vs Shaheen | 8–13 | 38.10% |
| Clothos vs Heihachi | 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.