| Odelroy vs Kazuya | 82–104 | 44.09% |
| Odelroy vs Jin | 87–93 | 48.33% |
| Odelroy vs Reina | 82–82 | 50.00% |
| Odelroy vs King | 66–88 | 42.86% |
| Odelroy vs Hwoarang | 76–68 | 52.78% |
| Odelroy vs Law | 58–62 | 48.33% |
| Odelroy vs Bryan | 51–61 | 45.54% |
| Odelroy vs Steve | 52–46 | 53.06% |
| Odelroy vs Lili | 44–49 | 47.31% |
| Odelroy vs Nina | 44–46 | 48.89% |
| Odelroy vs Devil Jin | 38–51 | 42.70% |
| Odelroy vs Lidia | 44–44 | 50.00% |
| Odelroy vs Eddy | 41–45 | 47.67% |
| Odelroy vs Paul | 35–50 | 41.18% |
| Odelroy vs Yoshimitsu | 35–50 | 41.18% |
| Odelroy vs Azucena | 41–43 | 48.81% |
| Odelroy vs Dragunov | 37–43 | 46.25% |
| Odelroy vs Heihachi | 31–43 | 41.89% |
| Odelroy vs Alisa | 29–35 | 45.31% |
| Odelroy vs Jun | 32–30 | 51.61% |
| Odelroy vs Victor | 30–31 | 49.18% |
| Odelroy vs Jack-8 | 17–38 | 30.91% |
| Odelroy vs Asuka | 25–30 | 45.45% |
| Odelroy vs Feng | 21–30 | 41.18% |
| Odelroy vs Lee | 27–22 | 55.10% |
| Odelroy vs Xiaoyu | 20–21 | 48.78% |
| Odelroy vs Claudio | 20–20 | 50.00% |
| Odelroy vs Leroy | 17–23 | 42.50% |
| Odelroy vs Lars | 14–20 | 41.18% |
| Odelroy vs Leo | 16–14 | 53.33% |
| Odelroy vs Raven | 17–7 | 70.83% |
| Odelroy vs Zafina | 7–14 | 33.33% |
| Odelroy vs Kuma | 3–17 | 15.00% |
| Odelroy vs Shaheen | 4–11 | 26.67% |
| Odelroy vs Clive | 5–9 | 35.71% |
| Odelroy vs Panda | 2–5 | 28.57% |
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.