| TMOR vs King | 69–39 | 63.89% |
| TMOR vs Reina | 46–48 | 48.94% |
| TMOR vs Jin | 40–41 | 49.38% |
| TMOR vs Kazuya | 35–40 | 46.67% |
| TMOR vs Steve | 25–40 | 38.46% |
| TMOR vs Bryan | 31–33 | 48.44% |
| TMOR vs Lili | 27–32 | 45.76% |
| TMOR vs Paul | 27–24 | 52.94% |
| TMOR vs Lidia | 18–32 | 36.00% |
| TMOR vs Yoshimitsu | 25–23 | 52.08% |
| TMOR vs Heihachi | 25–23 | 52.08% |
| TMOR vs Jun | 20–25 | 44.44% |
| TMOR vs Hwoarang | 21–23 | 47.73% |
| TMOR vs Dragunov | 19–25 | 43.18% |
| TMOR vs Lee | 23–16 | 58.97% |
| TMOR vs Azucena | 20–17 | 54.05% |
| TMOR vs Nina | 21–13 | 61.76% |
| TMOR vs Lars | 17–16 | 51.52% |
| TMOR vs Xiaoyu | 15–17 | 46.88% |
| TMOR vs Law | 11–19 | 36.67% |
| TMOR vs Feng | 16–12 | 57.14% |
| TMOR vs Leo | 14–14 | 50.00% |
| TMOR vs Victor | 17–11 | 60.71% |
| TMOR vs Asuka | 10–17 | 37.04% |
| TMOR vs Devil Jin | 12–13 | 48.00% |
| TMOR vs Leroy | 9–13 | 40.91% |
| TMOR vs Eddy | 8–13 | 38.10% |
| TMOR vs Claudio | 8–11 | 42.11% |
| TMOR vs Clive | 4–13 | 23.53% |
| TMOR vs Jack-8 | 10–6 | 62.50% |
| TMOR vs Alisa | 7–8 | 46.67% |
| TMOR vs Shaheen | 4–10 | 28.57% |
| TMOR vs Raven | 3–10 | 23.08% |
| TMOR vs Zafina | 6–6 | 50.00% |
| TMOR vs Anna | 8–4 | 66.67% |
| TMOR vs Kuma | 3–7 | 30.00% |
| TMOR vs Armor King | 5–2 | 71.43% |
| TMOR vs Fahkumram | 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.