| _Tima_217_ vs Kazuya | 16–8 | 66.67% |
| _Tima_217_ vs Jin | 10–13 | 43.48% |
| _Tima_217_ vs Lili | 9–10 | 47.37% |
| _Tima_217_ vs Reina | 11–7 | 61.11% |
| _Tima_217_ vs Hwoarang | 9–6 | 60.00% |
| _Tima_217_ vs Steve | 8–7 | 53.33% |
| _Tima_217_ vs Paul | 6–8 | 42.86% |
| _Tima_217_ vs King | 8–5 | 61.54% |
| _Tima_217_ vs Bryan | 5–8 | 38.46% |
| _Tima_217_ vs Leroy | 7–5 | 58.33% |
| _Tima_217_ vs Azucena | 4–6 | 40.00% |
| _Tima_217_ vs Jun | 5–4 | 55.56% |
| _Tima_217_ vs Dragunov | 4–3 | 57.14% |
| _Tima_217_ vs Leo | 4–3 | 57.14% |
| _Tima_217_ vs Heihachi | 1–6 | 14.29% |
| _Tima_217_ vs Nina | 4–2 | 66.67% |
| _Tima_217_ vs Law | 1–4 | 20.00% |
| _Tima_217_ vs Yoshimitsu | 1–4 | 20.00% |
| _Tima_217_ vs Asuka | 2–3 | 40.00% |
| _Tima_217_ vs Kuma | 4–1 | 80.00% |
| _Tima_217_ vs Victor | 2–3 | 40.00% |
| _Tima_217_ vs Jack-8 | 2–2 | 50.00% |
| _Tima_217_ vs Devil Jin | 2–2 | 50.00% |
| _Tima_217_ vs Lee | 1–3 | 25.00% |
| _Tima_217_ vs Lidia | 3–1 | 75.00% |
| _Tima_217_ vs Claudio | 1–2 | 33.33% |
| _Tima_217_ vs Panda | 0–3 | 0.00% |
| _Tima_217_ vs Lars | 2–0 | 100.00% |
| _Tima_217_ vs Alisa | 0–2 | 0.00% |
| _Tima_217_ vs Zafina | 0–2 | 0.00% |
| _Tima_217_ vs Raven | 0–2 | 0.00% |
| _Tima_217_ vs Xiaoyu | 0–1 | 0.00% |
| _Tima_217_ vs Shaheen | 1–0 | 100.00% |
| _Tima_217_ vs Eddy | 0–1 | 0.00% |
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.