| oreodaphne vs Dragunov | 22–45 | 32.84% |
| oreodaphne vs Lili | 26–35 | 42.62% |
| oreodaphne vs King | 29–30 | 49.15% |
| oreodaphne vs Kazuya | 34–25 | 57.63% |
| oreodaphne vs Paul | 31–27 | 53.45% |
| oreodaphne vs Azucena | 25–32 | 43.86% |
| oreodaphne vs Hwoarang | 24–26–1 | 48.00% |
| oreodaphne vs Bryan | 17–34 | 33.33% |
| oreodaphne vs Reina | 20–31 | 39.22% |
| oreodaphne vs Jin | 21–27 | 43.75% |
| oreodaphne vs Lars | 17–31 | 35.42% |
| oreodaphne vs Devil Jin | 18–29 | 38.30% |
| oreodaphne vs Victor | 13–29 | 30.95% |
| oreodaphne vs Asuka | 21–18 | 53.85% |
| oreodaphne vs Xiaoyu | 26–12 | 68.42% |
| oreodaphne vs Jun | 16–21 | 43.24% |
| oreodaphne vs Law | 14–21 | 40.00% |
| oreodaphne vs Feng | 17–16 | 51.52% |
| oreodaphne vs Steve | 15–17 | 46.88% |
| oreodaphne vs Yoshimitsu | 14–17 | 45.16% |
| oreodaphne vs Alisa | 8–16 | 33.33% |
| oreodaphne vs Lee | 12–9 | 57.14% |
| oreodaphne vs Claudio | 8–12 | 40.00% |
| oreodaphne vs Nina | 8–12 | 40.00% |
| oreodaphne vs Heihachi | 8–10 | 44.44% |
| oreodaphne vs Leroy | 7–10 | 41.18% |
| oreodaphne vs Raven | 9–8 | 52.94% |
| oreodaphne vs Kuma | 5–10 | 33.33% |
| oreodaphne vs Jack-8 | 5–8 | 38.46% |
| oreodaphne vs Shaheen | 5–8 | 38.46% |
| oreodaphne vs Eddy | 6–7 | 46.15% |
| oreodaphne vs Leo | 7–4 | 63.64% |
| oreodaphne vs Zafina | 4–5 | 44.44% |
| oreodaphne vs Panda | 3–4 | 42.86% |
| oreodaphne vs Lidia | 4–2 | 66.67% |
| oreodaphne vs Clive | 2–3 | 40.00% |
| oreodaphne vs Anna | 3–1 | 75.00% |
| oreodaphne vs Fahkumram | 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.