| oscar vs Steve | 22–35 | 38.60% |
| oscar vs King | 17–30 | 36.17% |
| oscar vs Azucena | 13–17 | 43.33% |
| oscar vs Law | 8–20 | 28.57% |
| oscar vs Jun | 12–16 | 42.86% |
| oscar vs Jin | 12–15 | 44.44% |
| oscar vs Lars | 7–18 | 28.00% |
| oscar vs Bryan | 7–17 | 29.17% |
| oscar vs Lili | 9–15 | 37.50% |
| oscar vs Armor King | 10–14 | 41.67% |
| oscar vs Dragunov | 12–9 | 57.14% |
| oscar vs Reina | 10–11 | 47.62% |
| oscar vs Hwoarang | 8–12 | 40.00% |
| oscar vs Kazuya | 6–13 | 31.58% |
| oscar vs Miary Zo | 8–11 | 42.11% |
| oscar vs Yoshimitsu | 6–11 | 35.29% |
| oscar vs Clive | 2–15 | 11.76% |
| oscar vs Leo | 6–10 | 37.50% |
| oscar vs Lee | 8–8 | 50.00% |
| oscar vs Leroy | 6–9 | 40.00% |
| oscar vs Xiaoyu | 8–6 | 57.14% |
| oscar vs Jack-8 | 6–8 | 42.86% |
| oscar vs Heihachi | 8–6 | 57.14% |
| oscar vs Fahkumram | 10–4 | 71.43% |
| oscar vs Lidia | 3–10 | 23.08% |
| oscar vs Devil Jin | 2–9 | 18.18% |
| oscar vs Nina | 4–6 | 40.00% |
| oscar vs Zafina | 6–4 | 60.00% |
| oscar vs Victor | 4–6 | 40.00% |
| oscar vs Claudio | 3–5 | 37.50% |
| oscar vs Eddy | 1–7 | 12.50% |
| oscar vs Alisa | 5–2 | 71.43% |
| oscar vs Asuka | 3–3 | 50.00% |
| oscar vs Raven | 2–3 | 40.00% |
| oscar vs Kuma | 1–3 | 25.00% |
| oscar vs Feng | 1–2 | 33.33% |
| oscar vs Paul | 0–2 | 0.00% |
| oscar vs Panda | 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.