| ToffeeBun vs Reina | 20–30 | 40.00% |
| ToffeeBun vs Jin | 23–24 | 48.94% |
| ToffeeBun vs Kazuya | 23–24 | 48.94% |
| ToffeeBun vs Hwoarang | 11–23 | 32.35% |
| ToffeeBun vs Jun | 18–14 | 56.25% |
| ToffeeBun vs Lili | 19–12 | 61.29% |
| ToffeeBun vs Dragunov | 19–11 | 63.33% |
| ToffeeBun vs Bryan | 15–14 | 51.72% |
| ToffeeBun vs King | 5–23 | 17.86% |
| ToffeeBun vs Yoshimitsu | 17–11 | 60.71% |
| ToffeeBun vs Paul | 11–15 | 42.31% |
| ToffeeBun vs Asuka | 12–12 | 50.00% |
| ToffeeBun vs Steve | 10–11 | 47.62% |
| ToffeeBun vs Devil Jin | 9–12 | 42.86% |
| ToffeeBun vs Xiaoyu | 7–12 | 36.84% |
| ToffeeBun vs Law | 6–12 | 33.33% |
| ToffeeBun vs Lee | 11–7 | 61.11% |
| ToffeeBun vs Leo | 9–8 | 52.94% |
| ToffeeBun vs Nina | 9–8 | 52.94% |
| ToffeeBun vs Lars | 9–7 | 56.25% |
| ToffeeBun vs Raven | 6–9 | 40.00% |
| ToffeeBun vs Eddy | 7–7 | 50.00% |
| ToffeeBun vs Leroy | 10–3 | 76.92% |
| ToffeeBun vs Azucena | 5–6 | 45.45% |
| ToffeeBun vs Heihachi | 7–4 | 63.64% |
| ToffeeBun vs Alisa | 8–1 | 88.89% |
| ToffeeBun vs Feng | 2–5 | 28.57% |
| ToffeeBun vs Victor | 4–3 | 57.14% |
| ToffeeBun vs Zafina | 4–2 | 66.67% |
| ToffeeBun vs Claudio | 0–5 | 0.00% |
| ToffeeBun vs Lidia | 4–1 | 80.00% |
| ToffeeBun vs Clive | 3–1 | 75.00% |
| ToffeeBun vs Panda | 2–1 | 66.67% |
| ToffeeBun vs Shaheen | 1–0 | 100.00% |
| ToffeeBun vs Anna | 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.