| timtim vs Jin | 20–26 | 43.48% |
| timtim vs Steve | 20–22 | 47.62% |
| timtim vs Armor King | 15–19 | 44.12% |
| timtim vs King | 13–20 | 39.39% |
| timtim vs Eddy | 16–11 | 59.26% |
| timtim vs Fahkumram | 10–17 | 37.04% |
| timtim vs Paul | 3–23 | 11.54% |
| timtim vs Bryan | 7–17 | 29.17% |
| timtim vs Dragunov | 9–15 | 37.50% |
| timtim vs Anna | 4–18 | 18.18% |
| timtim vs Kazuya | 4–17 | 19.05% |
| timtim vs Yoshimitsu | 10–7 | 58.82% |
| timtim vs Heihachi | 7–10 | 41.18% |
| timtim vs Xiaoyu | 8–6 | 57.14% |
| timtim vs Lili | 5–8 | 38.46% |
| timtim vs Clive | 6–7 | 46.15% |
| timtim vs Law | 5–7 | 41.67% |
| timtim vs Zafina | 3–9 | 25.00% |
| timtim vs Hwoarang | 3–8 | 27.27% |
| timtim vs Lee | 7–4 | 63.64% |
| timtim vs Victor | 5–6 | 45.45% |
| timtim vs Nina | 3–7 | 30.00% |
| timtim vs Reina | 6–4 | 60.00% |
| timtim vs Jun | 3–6 | 33.33% |
| timtim vs Asuka | 2–6 | 25.00% |
| timtim vs Lars | 2–5 | 28.57% |
| timtim vs Devil Jin | 3–3 | 50.00% |
| timtim vs Leroy | 2–4 | 33.33% |
| timtim vs Azucena | 2–4 | 33.33% |
| timtim vs Miary Zo | 3–3 | 50.00% |
| timtim vs Feng | 1–4 | 20.00% |
| timtim vs Jack-8 | 4–0 | 100.00% |
| timtim vs Lidia | 2–2 | 50.00% |
| timtim vs Alisa | 1–2 | 33.33% |
| timtim vs Leo | 2–0 | 100.00% |
| timtim vs Claudio | 0–2 | 0.00% |
| timtim vs Kuma | 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.