| O CLÃ vs Jin | 162–188 | 46.29% |
| O CLÃ vs Kazuya | 125–175 | 41.67% |
| O CLÃ vs King | 138–157 | 46.78% |
| O CLÃ vs Law | 97–136 | 41.63% |
| O CLÃ vs Heihachi | 100–125 | 44.44% |
| O CLÃ vs Reina | 122–86 | 58.65% |
| O CLÃ vs Eddy | 78–98 | 44.32% |
| O CLÃ vs Steve | 78–96 | 44.83% |
| O CLÃ vs Dragunov | 74–94 | 44.05% |
| O CLÃ vs Armor King | 76–86 | 46.91% |
| O CLÃ vs Bryan | 62–93 | 40.00% |
| O CLÃ vs Lili | 55–98 | 35.95% |
| O CLÃ vs Jun | 66–87 | 43.14% |
| O CLÃ vs Hwoarang | 70–76 | 47.95% |
| O CLÃ vs Victor | 53–80 | 39.85% |
| O CLÃ vs Asuka | 61–65 | 48.41% |
| O CLÃ vs Lidia | 68–53 | 56.20% |
| O CLÃ vs Paul | 43–66 | 39.45% |
| O CLÃ vs Feng | 40–64 | 38.46% |
| O CLÃ vs Azucena | 57–43 | 57.00% |
| O CLÃ vs Xiaoyu | 33–58 | 36.26% |
| O CLÃ vs Alisa | 33–52 | 38.82% |
| O CLÃ vs Lars | 47–36 | 56.63% |
| O CLÃ vs Yoshimitsu | 44–37 | 54.32% |
| O CLÃ vs Lee | 37–41 | 47.44% |
| O CLÃ vs Devil Jin | 27–47 | 36.49% |
| O CLÃ vs Nina | 36–33 | 52.17% |
| O CLÃ vs Leroy | 28–33 | 45.90% |
| O CLÃ vs Leo | 16–25 | 39.02% |
| O CLÃ vs Raven | 22–14 | 61.11% |
| O CLÃ vs Shaheen | 20–15 | 57.14% |
| O CLÃ vs Jack-8 | 16–14 | 53.33% |
| O CLÃ vs Claudio | 16–14 | 53.33% |
| O CLÃ vs Zafina | 15–15 | 50.00% |
| O CLÃ vs Anna | 12–18 | 40.00% |
| O CLÃ vs Panda | 9–20 | 31.03% |
| O CLÃ vs Kuma | 7–19 | 26.92% |
| O CLÃ vs Clive | 12–12 | 50.00% |
| O CLÃ vs Miary Zo | 7–12 | 36.84% |
| O CLÃ vs Fahkumram | 5–6 | 45.45% |
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.