| derpingtoast vs Jin | 136–109 | 55.51% |
| derpingtoast vs Kazuya | 109–92 | 54.23% |
| derpingtoast vs Bryan | 98–79 | 55.37% |
| derpingtoast vs Steve | 73–82 | 47.10% |
| derpingtoast vs King | 78–75 | 50.98% |
| derpingtoast vs Lee | 87–62 | 58.39% |
| derpingtoast vs Hwoarang | 75–71 | 51.37% |
| derpingtoast vs Reina | 89–57 | 60.96% |
| derpingtoast vs Devil Jin | 76–66 | 53.52% |
| derpingtoast vs Azucena | 76–64 | 54.29% |
| derpingtoast vs Heihachi | 62–69 | 47.33% |
| derpingtoast vs Yoshimitsu | 62–68 | 47.69% |
| derpingtoast vs Paul | 73–56 | 56.59% |
| derpingtoast vs Lili | 67–57 | 54.03% |
| derpingtoast vs Law | 68–55 | 55.28% |
| derpingtoast vs Dragunov | 54–66 | 45.00% |
| derpingtoast vs Leo | 51–56 | 47.66% |
| derpingtoast vs Lars | 58–47 | 55.24% |
| derpingtoast vs Asuka | 51–52 | 49.51% |
| derpingtoast vs Jun | 48–49–1 | 49.48% |
| derpingtoast vs Raven | 54–41 | 56.84% |
| derpingtoast vs Feng | 43–51 | 45.74% |
| derpingtoast vs Nina | 50–43 | 53.76% |
| derpingtoast vs Xiaoyu | 40–48 | 45.45% |
| derpingtoast vs Jack-8 | 34–54 | 38.64% |
| derpingtoast vs Victor | 42–38 | 52.50% |
| derpingtoast vs Leroy | 30–49 | 37.97% |
| derpingtoast vs Alisa | 40–35 | 53.33% |
| derpingtoast vs Zafina | 34–38 | 47.22% |
| derpingtoast vs Claudio | 30–35 | 46.15% |
| derpingtoast vs Kuma | 31–31 | 50.00% |
| derpingtoast vs Eddy | 30–32 | 48.39% |
| derpingtoast vs Lidia | 15–30 | 33.33% |
| derpingtoast vs Shaheen | 22–21 | 51.16% |
| derpingtoast vs Panda | 12–12 | 50.00% |
| derpingtoast vs Clive | 4–11 | 26.67% |
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.