| TrainwreckX vs King | 23–21 | 52.27% |
| TrainwreckX vs Steve | 24–14 | 63.16% |
| TrainwreckX vs Jin | 17–18 | 48.57% |
| TrainwreckX vs Kazuya | 24–8 | 75.00% |
| TrainwreckX vs Law | 17–14 | 54.84% |
| TrainwreckX vs Hwoarang | 18–13 | 58.06% |
| TrainwreckX vs Bryan | 14–14 | 50.00% |
| TrainwreckX vs Reina | 13–4 | 76.47% |
| TrainwreckX vs Yoshimitsu | 10–6 | 62.50% |
| TrainwreckX vs Nina | 7–8 | 46.67% |
| TrainwreckX vs Paul | 7–6 | 53.85% |
| TrainwreckX vs Dragunov | 4–8 | 33.33% |
| TrainwreckX vs Kuma | 6–5 | 54.55% |
| TrainwreckX vs Asuka | 6–4 | 60.00% |
| TrainwreckX vs Claudio | 5–5 | 50.00% |
| TrainwreckX vs Raven | 2–8 | 20.00% |
| TrainwreckX vs Lili | 1–8 | 11.11% |
| TrainwreckX vs Jun | 4–4 | 50.00% |
| TrainwreckX vs Azucena | 3–5 | 37.50% |
| TrainwreckX vs Victor | 2–6 | 25.00% |
| TrainwreckX vs Eddy | 4–4 | 50.00% |
| TrainwreckX vs Leo | 3–3 | 50.00% |
| TrainwreckX vs Shaheen | 2–4 | 33.33% |
| TrainwreckX vs Lee | 4–2 | 66.67% |
| TrainwreckX vs Panda | 2–4 | 33.33% |
| TrainwreckX vs Jack-8 | 2–2 | 50.00% |
| TrainwreckX vs Feng | 3–1 | 75.00% |
| TrainwreckX vs Lars | 0–3 | 0.00% |
| TrainwreckX vs Leroy | 1–2 | 33.33% |
| TrainwreckX vs Alisa | 0–2 | 0.00% |
| TrainwreckX vs Heihachi | 0–2 | 0.00% |
| TrainwreckX vs Devil Jin | 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.