| RAVOS vs Kazuya | 29–38 | 43.28% |
| RAVOS vs Jin | 13–46 | 22.03% |
| RAVOS vs King | 15–36 | 29.41% |
| RAVOS vs Reina | 21–14 | 60.00% |
| RAVOS vs Eddy | 10–24 | 29.41% |
| RAVOS vs Law | 14–19 | 42.42% |
| RAVOS vs Hwoarang | 9–24 | 27.27% |
| RAVOS vs Steve | 16–16 | 50.00% |
| RAVOS vs Dragunov | 14–17 | 45.16% |
| RAVOS vs Bryan | 11–15 | 42.31% |
| RAVOS vs Paul | 10–13 | 43.48% |
| RAVOS vs Alisa | 11–12 | 47.83% |
| RAVOS vs Azucena | 12–10 | 54.55% |
| RAVOS vs Asuka | 8–13 | 38.10% |
| RAVOS vs Anna | 13–7 | 65.00% |
| RAVOS vs Lili | 12–6–1 | 66.67% |
| RAVOS vs Claudio | 6–10 | 37.50% |
| RAVOS vs Jun | 6–10 | 37.50% |
| RAVOS vs Victor | 6–10 | 37.50% |
| RAVOS vs Devil Jin | 9–6 | 60.00% |
| RAVOS vs Lars | 3–9 | 25.00% |
| RAVOS vs Leo | 7–4 | 63.64% |
| RAVOS vs Nina | 8–3 | 72.73% |
| RAVOS vs Heihachi | 5–4 | 55.56% |
| RAVOS vs Yoshimitsu | 1–6 | 14.29% |
| RAVOS vs Feng | 2–5 | 28.57% |
| RAVOS vs Xiaoyu | 4–2 | 66.67% |
| RAVOS vs Lee | 1–4 | 20.00% |
| RAVOS vs Clive | 3–2 | 60.00% |
| RAVOS vs Jack-8 | 2–2 | 50.00% |
| RAVOS vs Zafina | 2–2 | 50.00% |
| RAVOS vs Leroy | 1–3 | 25.00% |
| RAVOS vs Lidia | 2–2 | 50.00% |
| RAVOS vs Raven | 0–3 | 0.00% |
| RAVOS vs Shaheen | 1–1 | 50.00% |
| RAVOS vs Kuma | 1–0 | 100.00% |
| RAVOS vs Panda | 0–1 | 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.