| oscar vs Kazuya | 17–31 | 35.42% |
| oscar vs Bryan | 20–25 | 44.44% |
| oscar vs Jin | 19–20 | 48.72% |
| oscar vs Law | 10–18 | 35.71% |
| oscar vs Hwoarang | 13–15 | 46.43% |
| oscar vs King | 9–18 | 33.33% |
| oscar vs Yoshimitsu | 14–13 | 51.85% |
| oscar vs Dragunov | 14–12 | 53.85% |
| oscar vs Nina | 9–16 | 36.00% |
| oscar vs Jun | 17–8 | 68.00% |
| oscar vs Paul | 10–13 | 43.48% |
| oscar vs Steve | 9–14 | 39.13% |
| oscar vs Reina | 12–11 | 52.17% |
| oscar vs Eddy | 10–9 | 52.63% |
| oscar vs Heihachi | 5–13 | 27.78% |
| oscar vs Devil Jin | 10–6 | 62.50% |
| oscar vs Alisa | 11–5 | 68.75% |
| oscar vs Jack-8 | 10–5 | 66.67% |
| oscar vs Victor | 4–11 | 26.67% |
| oscar vs Anna | 9–6 | 60.00% |
| oscar vs Clive | 12–2 | 85.71% |
| oscar vs Lili | 8–5 | 61.54% |
| oscar vs Claudio | 5–7 | 41.67% |
| oscar vs Lidia | 3–9 | 25.00% |
| oscar vs Asuka | 8–3 | 72.73% |
| oscar vs Lars | 6–4 | 60.00% |
| oscar vs Lee | 4–6 | 40.00% |
| oscar vs Miary Zo | 4–6 | 40.00% |
| oscar vs Shaheen | 4–5 | 44.44% |
| oscar vs Xiaoyu | 4–4 | 50.00% |
| oscar vs Zafina | 2–6 | 25.00% |
| oscar vs Azucena | 4–4 | 50.00% |
| oscar vs Leroy | 2–2 | 50.00% |
| oscar vs Feng | 2–1 | 66.67% |
| oscar vs Leo | 2–0 | 100.00% |
| oscar vs Kuma | 2–0 | 100.00% |
| oscar vs Raven | 0–2 | 0.00% |
| oscar vs Fahkumram | 1–1 | 50.00% |
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.