| Oni-Avarice vs Kazuya | 35–36 | 49.30% |
| Oni-Avarice vs King | 33–36 | 47.83% |
| Oni-Avarice vs Clive | 30–31 | 49.18% |
| Oni-Avarice vs Bryan | 33–23 | 58.93% |
| Oni-Avarice vs Fahkumram | 34–17 | 66.67% |
| Oni-Avarice vs Jin | 17–32 | 34.69% |
| Oni-Avarice vs Jun | 27–20 | 57.45% |
| Oni-Avarice vs Steve | 14–28 | 33.33% |
| Oni-Avarice vs Reina | 22–20 | 52.38% |
| Oni-Avarice vs Law | 19–20 | 48.72% |
| Oni-Avarice vs Heihachi | 25–9 | 73.53% |
| Oni-Avarice vs Hwoarang | 16–16 | 50.00% |
| Oni-Avarice vs Lili | 16–15 | 51.61% |
| Oni-Avarice vs Lee | 13–18 | 41.94% |
| Oni-Avarice vs Xiaoyu | 17–13 | 56.67% |
| Oni-Avarice vs Yoshimitsu | 14–14 | 50.00% |
| Oni-Avarice vs Asuka | 18–10 | 64.29% |
| Oni-Avarice vs Dragunov | 14–14 | 50.00% |
| Oni-Avarice vs Eddy | 11–16 | 40.74% |
| Oni-Avarice vs Paul | 11–15 | 42.31% |
| Oni-Avarice vs Anna | 13–12 | 52.00% |
| Oni-Avarice vs Nina | 8–16 | 33.33% |
| Oni-Avarice vs Lidia | 13–11 | 54.17% |
| Oni-Avarice vs Azucena | 10–11 | 47.62% |
| Oni-Avarice vs Raven | 10–9 | 52.63% |
| Oni-Avarice vs Jack-8 | 6–11 | 35.29% |
| Oni-Avarice vs Leo | 11–6 | 64.71% |
| Oni-Avarice vs Alisa | 6–9 | 40.00% |
| Oni-Avarice vs Leroy | 7–8 | 46.67% |
| Oni-Avarice vs Victor | 3–11 | 21.43% |
| Oni-Avarice vs Feng | 10–3 | 76.92% |
| Oni-Avarice vs Kuma | 6–7 | 46.15% |
| Oni-Avarice vs Devil Jin | 8–3 | 72.73% |
| Oni-Avarice vs Lars | 4–5 | 44.44% |
| Oni-Avarice vs Shaheen | 5–3 | 62.50% |
| Oni-Avarice vs Claudio | 1–5 | 16.67% |
| Oni-Avarice vs Armor King | 3–1 | 75.00% |
| Oni-Avarice vs Panda | 2–0 | 100.00% |
| Oni-Avarice vs Zafina | 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.