| toastybuns vs Jin | 41–36 | 53.25% |
| toastybuns vs Reina | 41–32 | 56.16% |
| toastybuns vs Hwoarang | 30–38 | 44.12% |
| toastybuns vs King | 32–23 | 58.18% |
| toastybuns vs Steve | 25–25 | 50.00% |
| toastybuns vs Bryan | 25–24 | 51.02% |
| toastybuns vs Lars | 23–25 | 47.92% |
| toastybuns vs Kazuya | 24–23 | 51.06% |
| toastybuns vs Dragunov | 28–19 | 59.57% |
| toastybuns vs Alisa | 21–26 | 44.68% |
| toastybuns vs Paul | 24–21–1 | 53.33% |
| toastybuns vs Lee | 19–24 | 44.19% |
| toastybuns vs Yoshimitsu | 23–18 | 56.10% |
| toastybuns vs Victor | 31–7 | 81.58% |
| toastybuns vs Jun | 20–17 | 54.05% |
| toastybuns vs Xiaoyu | 16–19 | 45.71% |
| toastybuns vs Asuka | 28–7 | 80.00% |
| toastybuns vs Eddy | 21–14 | 60.00% |
| toastybuns vs Feng | 13–19 | 40.62% |
| toastybuns vs Lili | 21–11 | 65.62% |
| toastybuns vs Law | 14–15 | 48.28% |
| toastybuns vs Leo | 19–10 | 65.52% |
| toastybuns vs Azucena | 14–13 | 51.85% |
| toastybuns vs Claudio | 9–13 | 40.91% |
| toastybuns vs Nina | 12–8 | 60.00% |
| toastybuns vs Devil Jin | 8–11 | 42.11% |
| toastybuns vs Raven | 6–13 | 31.58% |
| toastybuns vs Jack-8 | 8–10 | 44.44% |
| toastybuns vs Kuma | 10–7 | 58.82% |
| toastybuns vs Leroy | 8–7 | 53.33% |
| toastybuns vs Lidia | 8–7 | 53.33% |
| toastybuns vs Zafina | 6–5 | 54.55% |
| toastybuns vs Heihachi | 7–3 | 70.00% |
| toastybuns vs Shaheen | 4–5 | 44.44% |
| toastybuns vs Panda | 4–1 | 80.00% |
| toastybuns vs Fahkumram | 3–0 | 100.00% |
| toastybuns vs Armor King | 0–2 | 0.00% |
| toastybuns vs Miary Zo | 1–0 | 100.00% |
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.