| oninn vs Jin | 20–16 | 55.56% |
| oninn vs Kazuya | 23–10 | 69.70% |
| oninn vs Paul | 19–8 | 70.37% |
| oninn vs King | 15–11 | 57.69% |
| oninn vs Steve | 15–4 | 78.95% |
| oninn vs Victor | 10–8 | 55.56% |
| oninn vs Lili | 10–7 | 58.82% |
| oninn vs Bryan | 12–4 | 75.00% |
| oninn vs Alisa | 4–12 | 25.00% |
| oninn vs Reina | 16–0 | 100.00% |
| oninn vs Yoshimitsu | 6–9 | 40.00% |
| oninn vs Dragunov | 11–4 | 73.33% |
| oninn vs Law | 11–3 | 78.57% |
| oninn vs Feng | 10–4 | 71.43% |
| oninn vs Lee | 6–7 | 46.15% |
| oninn vs Asuka | 3–9 | 25.00% |
| oninn vs Nina | 10–2 | 83.33% |
| oninn vs Lidia | 5–7 | 41.67% |
| oninn vs Devil Jin | 5–5 | 50.00% |
| oninn vs Jun | 5–5 | 50.00% |
| oninn vs Hwoarang | 4–4 | 50.00% |
| oninn vs Xiaoyu | 6–2 | 75.00% |
| oninn vs Shaheen | 2–6 | 25.00% |
| oninn vs Clive | 5–3 | 62.50% |
| oninn vs Kuma | 5–1 | 83.33% |
| oninn vs Leroy | 5–1 | 83.33% |
| oninn vs Lars | 4–1 | 80.00% |
| oninn vs Eddy | 3–2 | 60.00% |
| oninn vs Leo | 2–1 | 66.67% |
| oninn vs Claudio | 2–1 | 66.67% |
| oninn vs Azucena | 1–2 | 33.33% |
| oninn vs Raven | 2–1 | 66.67% |
| oninn vs Miary Zo | 2–1 | 66.67% |
| oninn vs Jack-8 | 2–0 | 100.00% |
| oninn vs Zafina | 1–1 | 50.00% |
| oninn vs Anna | 2–0 | 100.00% |
| oninn vs Armor King | 2–0 | 100.00% |
| oninn vs Fahkumram | 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.