| TUG |TORRIDER14 vs Jin | 29–52 | 35.80% |
| TUG |TORRIDER14 vs Dragunov | 21–34 | 38.18% |
| TUG |TORRIDER14 vs Lidia | 18–37 | 32.73% |
| TUG |TORRIDER14 vs King | 19–32 | 37.25% |
| TUG |TORRIDER14 vs Victor | 17–29 | 36.96% |
| TUG |TORRIDER14 vs Reina | 17–25 | 40.48% |
| TUG |TORRIDER14 vs Law | 12–22 | 35.29% |
| TUG |TORRIDER14 vs Kazuya | 7–27 | 20.59% |
| TUG |TORRIDER14 vs Feng | 14–14 | 50.00% |
| TUG |TORRIDER14 vs Lili | 9–18 | 33.33% |
| TUG |TORRIDER14 vs Bryan | 13–13 | 50.00% |
| TUG |TORRIDER14 vs Azucena | 10–13 | 43.48% |
| TUG |TORRIDER14 vs Asuka | 10–11 | 47.62% |
| TUG |TORRIDER14 vs Heihachi | 10–10 | 50.00% |
| TUG |TORRIDER14 vs Yoshimitsu | 7–11 | 38.89% |
| TUG |TORRIDER14 vs Alisa | 8–9 | 47.06% |
| TUG |TORRIDER14 vs Jun | 7–10 | 41.18% |
| TUG |TORRIDER14 vs Hwoarang | 6–8 | 42.86% |
| TUG |TORRIDER14 vs Eddy | 2–12 | 14.29% |
| TUG |TORRIDER14 vs Nina | 8–5 | 61.54% |
| TUG |TORRIDER14 vs Paul | 2–10 | 16.67% |
| TUG |TORRIDER14 vs Steve | 7–5 | 58.33% |
| TUG |TORRIDER14 vs Lars | 3–7 | 30.00% |
| TUG |TORRIDER14 vs Jack-8 | 3–6 | 33.33% |
| TUG |TORRIDER14 vs Raven | 3–6 | 33.33% |
| TUG |TORRIDER14 vs Claudio | 4–4 | 50.00% |
| TUG |TORRIDER14 vs Devil Jin | 4–3 | 57.14% |
| TUG |TORRIDER14 vs Leo | 3–3 | 50.00% |
| TUG |TORRIDER14 vs Lee | 1–5 | 16.67% |
| TUG |TORRIDER14 vs Kuma | 0–5 | 0.00% |
| TUG |TORRIDER14 vs Xiaoyu | 2–2 | 50.00% |
| TUG |TORRIDER14 vs Leroy | 2–2 | 50.00% |
| TUG |TORRIDER14 vs Clive | 2–2 | 50.00% |
| TUG |TORRIDER14 vs Shaheen | 1–2 | 33.33% |
| TUG |TORRIDER14 vs Zafina | 1–2 | 33.33% |
| TUG |TORRIDER14 vs Panda | 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.