| TrashRider vs Jin | 15–14 | 51.72% |
| TrashRider vs Jun | 13–9 | 59.09% |
| TrashRider vs Clive | 15–7 | 68.18% |
| TrashRider vs Kazuya | 8–12 | 40.00% |
| TrashRider vs King | 10–7 | 58.82% |
| TrashRider vs Law | 4–10 | 28.57% |
| TrashRider vs Hwoarang | 8–5 | 61.54% |
| TrashRider vs Steve | 5–8 | 38.46% |
| TrashRider vs Yoshimitsu | 9–3 | 75.00% |
| TrashRider vs Xiaoyu | 4–7 | 36.36% |
| TrashRider vs Lidia | 8–3 | 72.73% |
| TrashRider vs Nina | 3–7 | 30.00% |
| TrashRider vs Azucena | 3–7 | 30.00% |
| TrashRider vs Bryan | 4–5 | 44.44% |
| TrashRider vs Reina | 6–3 | 66.67% |
| TrashRider vs Eddy | 3–6 | 33.33% |
| TrashRider vs Paul | 3–5 | 37.50% |
| TrashRider vs Lars | 2–6 | 25.00% |
| TrashRider vs Dragunov | 4–3 | 57.14% |
| TrashRider vs Alisa | 1–5 | 16.67% |
| TrashRider vs Shaheen | 5–0 | 100.00% |
| TrashRider vs Feng | 0–4 | 0.00% |
| TrashRider vs Claudio | 1–3 | 25.00% |
| TrashRider vs Heihachi | 4–0 | 100.00% |
| TrashRider vs Anna | 3–1 | 75.00% |
| TrashRider vs Asuka | 1–2 | 33.33% |
| TrashRider vs Lee | 3–0 | 100.00% |
| TrashRider vs Jack-8 | 0–2 | 0.00% |
| TrashRider vs Devil Jin | 0–2 | 0.00% |
| TrashRider vs Kuma | 0–2 | 0.00% |
| TrashRider vs Raven | 2–0 | 100.00% |
| TrashRider vs Leo | 0–1 | 0.00% |
| TrashRider vs Panda | 1–0 | 100.00% |
| TrashRider vs Victor | 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.