| Oopy goopy vs King | 44–45 | 49.44% |
| Oopy goopy vs Armor King | 28–20 | 58.33% |
| Oopy goopy vs Steve | 26–19 | 57.78% |
| Oopy goopy vs Reina | 25–17 | 59.52% |
| Oopy goopy vs Bryan | 21–20 | 51.22% |
| Oopy goopy vs Clive | 30–11 | 73.17% |
| Oopy goopy vs Lili | 26–12 | 68.42% |
| Oopy goopy vs Kazuya | 13–19 | 40.62% |
| Oopy goopy vs Dragunov | 16–16 | 50.00% |
| Oopy goopy vs Jin | 12–19 | 38.71% |
| Oopy goopy vs Lee | 17–14 | 54.84% |
| Oopy goopy vs Heihachi | 22–9 | 70.97% |
| Oopy goopy vs Law | 15–13 | 53.57% |
| Oopy goopy vs Eddy | 13–15 | 46.43% |
| Oopy goopy vs Lars | 18–8 | 69.23% |
| Oopy goopy vs Xiaoyu | 11–13 | 45.83% |
| Oopy goopy vs Yoshimitsu | 12–11 | 52.17% |
| Oopy goopy vs Lidia | 15–8 | 65.22% |
| Oopy goopy vs Fahkumram | 12–8 | 60.00% |
| Oopy goopy vs Hwoarang | 11–8 | 57.89% |
| Oopy goopy vs Jun | 10–9 | 52.63% |
| Oopy goopy vs Victor | 12–7 | 63.16% |
| Oopy goopy vs Paul | 10–8 | 55.56% |
| Oopy goopy vs Devil Jin | 11–7 | 61.11% |
| Oopy goopy vs Azucena | 9–8 | 52.94% |
| Oopy goopy vs Raven | 11–5 | 68.75% |
| Oopy goopy vs Miary Zo | 6–9 | 40.00% |
| Oopy goopy vs Asuka | 9–5 | 64.29% |
| Oopy goopy vs Leroy | 6–7 | 46.15% |
| Oopy goopy vs Nina | 9–3 | 75.00% |
| Oopy goopy vs Claudio | 7–4 | 63.64% |
| Oopy goopy vs Alisa | 7–3 | 70.00% |
| Oopy goopy vs Anna | 4–5 | 44.44% |
| Oopy goopy vs Jack-8 | 5–2 | 71.43% |
| Oopy goopy vs Feng | 3–4 | 42.86% |
| Oopy goopy vs Kuma | 5–2 | 71.43% |
| Oopy goopy vs Zafina | 2–4 | 33.33% |
| Oopy goopy vs Shaheen | 3–2 | 60.00% |
| Oopy goopy vs Panda | 1–2 | 33.33% |
| Oopy goopy vs Leo | 1–0 | 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.