| tkmrt vs Dragunov | 16–29 | 35.56% |
| tkmrt vs Kazuya | 9–32 | 21.95% |
| tkmrt vs King | 20–19 | 51.28% |
| tkmrt vs Law | 8–27 | 22.86% |
| tkmrt vs Steve | 12–23 | 34.29% |
| tkmrt vs Jin | 8–22 | 26.67% |
| tkmrt vs Bryan | 7–15 | 31.82% |
| tkmrt vs Nina | 10–11 | 47.62% |
| tkmrt vs Hwoarang | 7–12 | 36.84% |
| tkmrt vs Jun | 8–11 | 42.11% |
| tkmrt vs Victor | 6–13 | 31.58% |
| tkmrt vs Yoshimitsu | 14–3 | 82.35% |
| tkmrt vs Reina | 9–8 | 52.94% |
| tkmrt vs Heihachi | 4–13 | 23.53% |
| tkmrt vs Feng | 4–12 | 25.00% |
| tkmrt vs Lili | 5–11 | 31.25% |
| tkmrt vs Lee | 7–9 | 43.75% |
| tkmrt vs Devil Jin | 3–11 | 21.43% |
| tkmrt vs Paul | 3–10 | 23.08% |
| tkmrt vs Asuka | 4–8 | 33.33% |
| tkmrt vs Kuma | 3–6 | 33.33% |
| tkmrt vs Azucena | 1–8 | 11.11% |
| tkmrt vs Fahkumram | 1–8 | 11.11% |
| tkmrt vs Claudio | 2–6 | 25.00% |
| tkmrt vs Clive | 3–5 | 37.50% |
| tkmrt vs Xiaoyu | 1–6 | 14.29% |
| tkmrt vs Alisa | 2–5 | 28.57% |
| tkmrt vs Shaheen | 1–6 | 14.29% |
| tkmrt vs Leroy | 3–4 | 42.86% |
| tkmrt vs Lars | 5–1 | 83.33% |
| tkmrt vs Jack-8 | 3–2 | 60.00% |
| tkmrt vs Eddy | 0–5 | 0.00% |
| tkmrt vs Lidia | 4–1 | 80.00% |
| tkmrt vs Anna | 3–2 | 60.00% |
| tkmrt vs Panda | 2–2 | 50.00% |
| tkmrt vs Raven | 2–1 | 66.67% |
| tkmrt vs Leo | 1–1 | 50.00% |
| tkmrt vs Armor King | 0–2 | 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.