| TimaDikiy vs Reina | 30–5 | 85.71% |
| TimaDikiy vs Jin | 19–10 | 65.52% |
| TimaDikiy vs Kazuya | 21–6 | 77.78% |
| TimaDikiy vs King | 17–7 | 70.83% |
| TimaDikiy vs Bryan | 17–6 | 73.91% |
| TimaDikiy vs Steve | 11–10 | 52.38% |
| TimaDikiy vs Heihachi | 12–9 | 57.14% |
| TimaDikiy vs Lili | 14–4 | 77.78% |
| TimaDikiy vs Law | 13–4 | 76.47% |
| TimaDikiy vs Yoshimitsu | 10–4 | 71.43% |
| TimaDikiy vs Feng | 6–6 | 50.00% |
| TimaDikiy vs Azucena | 9–3 | 75.00% |
| TimaDikiy vs Paul | 5–6 | 45.45% |
| TimaDikiy vs Xiaoyu | 6–4 | 60.00% |
| TimaDikiy vs Devil Jin | 8–2 | 80.00% |
| TimaDikiy vs Lidia | 6–4 | 60.00% |
| TimaDikiy vs Hwoarang | 7–2 | 77.78% |
| TimaDikiy vs Jack-8 | 6–2 | 75.00% |
| TimaDikiy vs Asuka | 4–4 | 50.00% |
| TimaDikiy vs Dragunov | 7–1 | 87.50% |
| TimaDikiy vs Clive | 3–5 | 37.50% |
| TimaDikiy vs Jun | 4–3 | 57.14% |
| TimaDikiy vs Victor | 6–1 | 85.71% |
| TimaDikiy vs Eddy | 6–1 | 85.71% |
| TimaDikiy vs Alisa | 3–3 | 50.00% |
| TimaDikiy vs Lars | 4–1 | 80.00% |
| TimaDikiy vs Nina | 4–1 | 80.00% |
| TimaDikiy vs Leroy | 3–2 | 60.00% |
| TimaDikiy vs Lee | 3–1 | 75.00% |
| TimaDikiy vs Leo | 1–2 | 33.33% |
| TimaDikiy vs Panda | 1–2 | 33.33% |
| TimaDikiy vs Zafina | 2–1 | 66.67% |
| TimaDikiy vs Shaheen | 1–0 | 100.00% |
| TimaDikiy vs Raven | 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.