| ravendar83 vs Jin | 60–54 | 52.63% |
| ravendar83 vs Hwoarang | 43–56 | 43.43% |
| ravendar83 vs Kazuya | 47–47 | 50.00% |
| ravendar83 vs Dragunov | 41–50 | 45.05% |
| ravendar83 vs King | 40–42 | 48.78% |
| ravendar83 vs Paul | 42–36 | 53.85% |
| ravendar83 vs Lili | 34–38 | 47.22% |
| ravendar83 vs Reina | 36–32 | 52.94% |
| ravendar83 vs Bryan | 33–34 | 49.25% |
| ravendar83 vs Victor | 24–35 | 40.68% |
| ravendar83 vs Law | 25–33 | 43.10% |
| ravendar83 vs Asuka | 26–25 | 50.98% |
| ravendar83 vs Azucena | 26–24 | 52.00% |
| ravendar83 vs Jun | 27–18 | 60.00% |
| ravendar83 vs Steve | 19–23 | 45.24% |
| ravendar83 vs Devil Jin | 18–21 | 46.15% |
| ravendar83 vs Heihachi | 10–22 | 31.25% |
| ravendar83 vs Lars | 11–20 | 35.48% |
| ravendar83 vs Feng | 8–21–1 | 27.59% |
| ravendar83 vs Xiaoyu | 13–15 | 46.43% |
| ravendar83 vs Yoshimitsu | 11–16 | 40.74% |
| ravendar83 vs Leroy | 11–15 | 42.31% |
| ravendar83 vs Lee | 6–19 | 24.00% |
| ravendar83 vs Clive | 13–12 | 52.00% |
| ravendar83 vs Jack-8 | 7–17 | 29.17% |
| ravendar83 vs Claudio | 11–12 | 47.83% |
| ravendar83 vs Eddy | 8–15 | 34.78% |
| ravendar83 vs Leo | 8–14 | 36.36% |
| ravendar83 vs Alisa | 5–15 | 25.00% |
| ravendar83 vs Shaheen | 7–8 | 46.67% |
| ravendar83 vs Nina | 11–4 | 73.33% |
| ravendar83 vs Zafina | 8–7 | 53.33% |
| ravendar83 vs Kuma | 4–10 | 28.57% |
| ravendar83 vs Raven | 7–5 | 58.33% |
| ravendar83 vs Lidia | 3–8 | 27.27% |
| ravendar83 vs Armor King | 3–6 | 33.33% |
| ravendar83 vs Anna | 2–4 | 33.33% |
| ravendar83 vs Panda | 2–0 | 100.00% |
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.