| toast vs Steve | 8–5 | 61.54% |
| toast vs Hwoarang | 8–4 | 66.67% |
| toast vs Jin | 8–3 | 72.73% |
| toast vs King | 5–5 | 50.00% |
| toast vs Kuma | 7–3 | 70.00% |
| toast vs Azucena | 8–2 | 80.00% |
| toast vs Lili | 4–5 | 44.44% |
| toast vs Xiaoyu | 4–3 | 57.14% |
| toast vs Dragunov | 3–3 | 50.00% |
| toast vs Bryan | 4–1 | 80.00% |
| toast vs Asuka | 2–3 | 40.00% |
| toast vs Reina | 2–3 | 40.00% |
| toast vs Law | 1–3 | 25.00% |
| toast vs Yoshimitsu | 1–3 | 25.00% |
| toast vs Kazuya | 4–0 | 100.00% |
| toast vs Eddy | 2–2 | 50.00% |
| toast vs Lars | 2–1 | 66.67% |
| toast vs Nina | 0–3 | 0.00% |
| toast vs Jun | 2–1 | 66.67% |
| toast vs Devil Jin | 2–0 | 100.00% |
| toast vs Panda | 2–0 | 100.00% |
| toast vs Leo | 0–1 | 0.00% |
| toast vs Alisa | 1–0 | 100.00% |
| toast vs Zafina | 0–1 | 0.00% |
| toast vs Leroy | 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.