| Tcampbell vs Lars | 4–3 | 57.14% |
| Tcampbell vs Steve | 2–4 | 33.33% |
| Tcampbell vs Azucena | 4–2 | 66.67% |
| Tcampbell vs Reina | 5–0 | 100.00% |
| Tcampbell vs Law | 0–4 | 0.00% |
| Tcampbell vs Kazuya | 1–3 | 25.00% |
| Tcampbell vs Leroy | 2–2 | 50.00% |
| Tcampbell vs King | 0–3 | 0.00% |
| Tcampbell vs Hwoarang | 2–1 | 66.67% |
| Tcampbell vs Jin | 2–1 | 66.67% |
| Tcampbell vs Leo | 3–0 | 100.00% |
| Tcampbell vs Eddy | 1–2 | 33.33% |
| Tcampbell vs Bryan | 1–1 | 50.00% |
| Tcampbell vs Lili | 0–2 | 0.00% |
| Tcampbell vs Lee | 0–2 | 0.00% |
| Tcampbell vs Kuma | 0–2 | 0.00% |
| Tcampbell vs Jun | 0–2 | 0.00% |
| Tcampbell vs Yoshimitsu | 1–0 | 100.00% |
| Tcampbell vs Feng | 0–1 | 0.00% |
| Tcampbell vs Dragunov | 0–1 | 0.00% |
| Tcampbell vs Victor | 1–0 | 100.00% |
| Tcampbell vs Raven | 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.