| ToastyATL vs Jin | 47–36 | 56.63% |
| ToastyATL vs King | 41–24 | 63.08% |
| ToastyATL vs Law | 35–27 | 56.45% |
| ToastyATL vs Dragunov | 32–26 | 55.17% |
| ToastyATL vs Bryan | 43–13 | 76.79% |
| ToastyATL vs Yoshimitsu | 34–20 | 62.96% |
| ToastyATL vs Lee | 34–18 | 65.38% |
| ToastyATL vs Raven | 27–24 | 52.94% |
| ToastyATL vs Steve | 29–21 | 58.00% |
| ToastyATL vs Lars | 17–32 | 34.69% |
| ToastyATL vs Paul | 25–17 | 59.52% |
| ToastyATL vs Kazuya | 31–11 | 73.81% |
| ToastyATL vs Leo | 20–21 | 48.78% |
| ToastyATL vs Jack-8 | 20–20 | 50.00% |
| ToastyATL vs Reina | 20–20 | 50.00% |
| ToastyATL vs Hwoarang | 24–15 | 61.54% |
| ToastyATL vs Azucena | 19–20 | 48.72% |
| ToastyATL vs Asuka | 25–13 | 65.79% |
| ToastyATL vs Feng | 19–16 | 54.29% |
| ToastyATL vs Claudio | 17–16 | 51.52% |
| ToastyATL vs Leroy | 19–14 | 57.58% |
| ToastyATL vs Jun | 19–14 | 57.58% |
| ToastyATL vs Lili | 14–14 | 50.00% |
| ToastyATL vs Zafina | 16–12 | 57.14% |
| ToastyATL vs Kuma | 15–12 | 55.56% |
| ToastyATL vs Alisa | 11–15 | 42.31% |
| ToastyATL vs Shaheen | 13–12 | 52.00% |
| ToastyATL vs Xiaoyu | 7–16 | 30.43% |
| ToastyATL vs Victor | 8–15 | 34.78% |
| ToastyATL vs Eddy | 9–14 | 39.13% |
| ToastyATL vs Devil Jin | 16–6 | 72.73% |
| ToastyATL vs Nina | 7–8 | 46.67% |
| ToastyATL vs Panda | 8–7 | 53.33% |
| ToastyATL vs Heihachi | 6–6 | 50.00% |
| ToastyATL vs Anna | 6–4 | 60.00% |
| ToastyATL vs Clive | 4–5 | 44.44% |
| ToastyATL vs Armor King | 1–6 | 14.29% |
| ToastyATL vs Lidia | 0–5 | 0.00% |
| ToastyATL vs Fahkumram | 1–3 | 25.00% |
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.