| EnjoyOval vs Armor King | 59–67 | 46.83% |
| EnjoyOval vs Steve | 65–54 | 54.62% |
| EnjoyOval vs King | 55–58 | 48.67% |
| EnjoyOval vs Kazuya | 36–67 | 34.95% |
| EnjoyOval vs Jin | 39–59 | 39.80% |
| EnjoyOval vs Law | 38–56 | 40.43% |
| EnjoyOval vs Reina | 40–51 | 43.96% |
| EnjoyOval vs Azucena | 33–41 | 44.59% |
| EnjoyOval vs Heihachi | 33–40 | 45.21% |
| EnjoyOval vs Hwoarang | 32–40 | 44.44% |
| EnjoyOval vs Bryan | 22–44 | 33.33% |
| EnjoyOval vs Dragunov | 24–38 | 38.71% |
| EnjoyOval vs Lili | 24–33 | 42.11% |
| EnjoyOval vs Paul | 18–37 | 32.73% |
| EnjoyOval vs Eddy | 20–31 | 39.22% |
| EnjoyOval vs Xiaoyu | 26–24 | 52.00% |
| EnjoyOval vs Jun | 21–27 | 43.75% |
| EnjoyOval vs Lidia | 16–30 | 34.78% |
| EnjoyOval vs Fahkumram | 24–20 | 54.55% |
| EnjoyOval vs Lars | 18–25 | 41.86% |
| EnjoyOval vs Victor | 22–15 | 59.46% |
| EnjoyOval vs Nina | 14–21 | 40.00% |
| EnjoyOval vs Alisa | 16–17 | 48.48% |
| EnjoyOval vs Lee | 10–22 | 31.25% |
| EnjoyOval vs Jack-8 | 13–17 | 43.33% |
| EnjoyOval vs Leroy | 12–18 | 40.00% |
| EnjoyOval vs Devil Jin | 12–17 | 41.38% |
| EnjoyOval vs Asuka | 8–20 | 28.57% |
| EnjoyOval vs Yoshimitsu | 14–13 | 51.85% |
| EnjoyOval vs Leo | 9–12 | 42.86% |
| EnjoyOval vs Feng | 4–16 | 20.00% |
| EnjoyOval vs Anna | 11–8 | 57.89% |
| EnjoyOval vs Clive | 9–7 | 56.25% |
| EnjoyOval vs Zafina | 10–5 | 66.67% |
| EnjoyOval vs Claudio | 8–5 | 61.54% |
| EnjoyOval vs Shaheen | 3–9 | 25.00% |
| EnjoyOval vs Raven | 11–1 | 91.67% |
| EnjoyOval vs Kuma | 0–5 | 0.00% |
| EnjoyOval vs Panda | 1–3 | 25.00% |
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.