| Toasty_Tom_ vs Kazuya | 11–12 | 47.83% |
| Toasty_Tom_ vs Reina | 16–6 | 72.73% |
| Toasty_Tom_ vs Eddy | 6–10 | 37.50% |
| Toasty_Tom_ vs King | 10–4 | 71.43% |
| Toasty_Tom_ vs Hwoarang | 8–6 | 57.14% |
| Toasty_Tom_ vs Nina | 5–9 | 35.71% |
| Toasty_Tom_ vs Paul | 6–4 | 60.00% |
| Toasty_Tom_ vs Jack-8 | 5–5 | 50.00% |
| Toasty_Tom_ vs Xiaoyu | 5–4 | 55.56% |
| Toasty_Tom_ vs Bryan | 2–7 | 22.22% |
| Toasty_Tom_ vs Lars | 5–4 | 55.56% |
| Toasty_Tom_ vs Jun | 5–4 | 55.56% |
| Toasty_Tom_ vs Yoshimitsu | 4–4 | 50.00% |
| Toasty_Tom_ vs Lee | 5–3 | 62.50% |
| Toasty_Tom_ vs Jin | 4–3 | 57.14% |
| Toasty_Tom_ vs Lili | 2–4 | 33.33% |
| Toasty_Tom_ vs Dragunov | 2–4 | 33.33% |
| Toasty_Tom_ vs Asuka | 4–1 | 80.00% |
| Toasty_Tom_ vs Azucena | 3–2 | 60.00% |
| Toasty_Tom_ vs Heihachi | 2–3 | 40.00% |
| Toasty_Tom_ vs Steve | 3–1 | 75.00% |
| Toasty_Tom_ vs Leo | 1–3 | 25.00% |
| Toasty_Tom_ vs Raven | 2–2 | 50.00% |
| Toasty_Tom_ vs Lidia | 4–0 | 100.00% |
| Toasty_Tom_ vs Feng | 0–3 | 0.00% |
| Toasty_Tom_ vs Shaheen | 1–2 | 33.33% |
| Toasty_Tom_ vs Leroy | 0–3 | 0.00% |
| Toasty_Tom_ vs Law | 2–0 | 100.00% |
| Toasty_Tom_ vs Alisa | 0–2 | 0.00% |
| Toasty_Tom_ vs Zafina | 2–0 | 100.00% |
| Toasty_Tom_ vs Victor | 2–0 | 100.00% |
| Toasty_Tom_ vs Devil Jin | 1–0 | 100.00% |
| Toasty_Tom_ vs Kuma | 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.