| Tmo_ vs Reina | 29–26 | 52.73% |
| Tmo_ vs Kazuya | 29–18 | 61.70% |
| Tmo_ vs Jin | 17–26 | 39.53% |
| Tmo_ vs King | 12–20 | 37.50% |
| Tmo_ vs Bryan | 14–18 | 43.75% |
| Tmo_ vs Jun | 13–18 | 41.94% |
| Tmo_ vs Hwoarang | 11–19 | 36.67% |
| Tmo_ vs Dragunov | 15–14 | 51.72% |
| Tmo_ vs Heihachi | 16–11 | 59.26% |
| Tmo_ vs Yoshimitsu | 11–13 | 45.83% |
| Tmo_ vs Lee | 13–10 | 56.52% |
| Tmo_ vs Steve | 13–9 | 59.09% |
| Tmo_ vs Asuka | 10–10 | 50.00% |
| Tmo_ vs Lili | 13–6 | 68.42% |
| Tmo_ vs Eddy | 7–10 | 41.18% |
| Tmo_ vs Clive | 10–7 | 58.82% |
| Tmo_ vs Law | 9–7 | 56.25% |
| Tmo_ vs Paul | 7–8 | 46.67% |
| Tmo_ vs Lidia | 5–10 | 33.33% |
| Tmo_ vs Xiaoyu | 7–7 | 50.00% |
| Tmo_ vs Devil Jin | 6–8 | 42.86% |
| Tmo_ vs Raven | 11–3 | 78.57% |
| Tmo_ vs Leo | 7–6 | 53.85% |
| Tmo_ vs Azucena | 5–8 | 38.46% |
| Tmo_ vs Nina | 7–5 | 58.33% |
| Tmo_ vs Victor | 6–6 | 50.00% |
| Tmo_ vs Alisa | 4–7 | 36.36% |
| Tmo_ vs Leroy | 5–5 | 50.00% |
| Tmo_ vs Kuma | 8–1 | 88.89% |
| Tmo_ vs Feng | 2–5 | 28.57% |
| Tmo_ vs Lars | 4–3 | 57.14% |
| Tmo_ vs Shaheen | 0–5 | 0.00% |
| Tmo_ vs Claudio | 2–2 | 50.00% |
| Tmo_ vs Fahkumram | 1–2 | 33.33% |
| Tmo_ vs Panda | 2–0 | 100.00% |
| Tmo_ vs Zafina | 2–0 | 100.00% |
| Tmo_ vs Anna | 1–0 | 100.00% |
| Tmo_ vs Armor King | 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.