| Dinner Kim vs Reina | 19–21 | 47.50% |
| Dinner Kim vs Dragunov | 18–18 | 50.00% |
| Dinner Kim vs King | 16–19 | 45.71% |
| Dinner Kim vs Jun | 19–15 | 55.88% |
| Dinner Kim vs Kazuya | 17–9 | 65.38% |
| Dinner Kim vs Hwoarang | 11–13 | 45.83% |
| Dinner Kim vs Law | 13–10 | 56.52% |
| Dinner Kim vs Jin | 14–9 | 60.87% |
| Dinner Kim vs Lili | 14–9 | 60.87% |
| Dinner Kim vs Bryan | 13–9 | 59.09% |
| Dinner Kim vs Azucena | 13–9 | 59.09% |
| Dinner Kim vs Victor | 13–9 | 59.09% |
| Dinner Kim vs Devil Jin | 9–11 | 45.00% |
| Dinner Kim vs Lars | 7–12 | 36.84% |
| Dinner Kim vs Paul | 8–9 | 47.06% |
| Dinner Kim vs Yoshimitsu | 6–8 | 42.86% |
| Dinner Kim vs Asuka | 7–6 | 53.85% |
| Dinner Kim vs Feng | 5–8 | 38.46% |
| Dinner Kim vs Xiaoyu | 7–5 | 58.33% |
| Dinner Kim vs Alisa | 6–6 | 50.00% |
| Dinner Kim vs Kuma | 6–4 | 60.00% |
| Dinner Kim vs Eddy | 4–6 | 40.00% |
| Dinner Kim vs Steve | 4–5 | 44.44% |
| Dinner Kim vs Jack-8 | 4–4 | 50.00% |
| Dinner Kim vs Leo | 3–5 | 37.50% |
| Dinner Kim vs Raven | 5–2 | 71.43% |
| Dinner Kim vs Leroy | 4–1 | 80.00% |
| Dinner Kim vs Claudio | 1–3 | 25.00% |
| Dinner Kim vs Shaheen | 2–2 | 50.00% |
| Dinner Kim vs Nina | 2–2 | 50.00% |
| Dinner Kim vs Lee | 3–1 | 75.00% |
| Dinner Kim vs Panda | 1–2 | 33.33% |
| Dinner Kim vs Zafina | 2–1 | 66.67% |
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.