| toastertime99 vs King | 44–52 | 45.83% |
| toastertime99 vs Kazuya | 62–34 | 64.58% |
| toastertime99 vs Jin | 41–31 | 56.94% |
| toastertime99 vs Bryan | 30–39 | 43.48% |
| toastertime99 vs Reina | 37–32 | 53.62% |
| toastertime99 vs Lidia | 36–24 | 60.00% |
| toastertime99 vs Hwoarang | 32–25 | 56.14% |
| toastertime99 vs Lee | 24–26 | 48.00% |
| toastertime99 vs Paul | 30–19 | 61.22% |
| toastertime99 vs Yoshimitsu | 23–21 | 52.27% |
| toastertime99 vs Devil Jin | 22–16 | 57.89% |
| toastertime99 vs Lili | 16–18 | 47.06% |
| toastertime99 vs Dragunov | 22–12 | 64.71% |
| toastertime99 vs Victor | 19–15 | 55.88% |
| toastertime99 vs Leo | 16–17 | 48.48% |
| toastertime99 vs Law | 23–9 | 71.88% |
| toastertime99 vs Steve | 17–13 | 56.67% |
| toastertime99 vs Jun | 8–21 | 27.59% |
| toastertime99 vs Xiaoyu | 7–20 | 25.93% |
| toastertime99 vs Lars | 14–11 | 56.00% |
| toastertime99 vs Azucena | 14–11 | 56.00% |
| toastertime99 vs Claudio | 10–14 | 41.67% |
| toastertime99 vs Asuka | 8–14 | 36.36% |
| toastertime99 vs Feng | 11–9 | 55.00% |
| toastertime99 vs Heihachi | 12–6 | 66.67% |
| toastertime99 vs Clive | 9–6 | 60.00% |
| toastertime99 vs Shaheen | 8–6 | 57.14% |
| toastertime99 vs Kuma | 6–8 | 42.86% |
| toastertime99 vs Nina | 11–2 | 84.62% |
| toastertime99 vs Eddy | 4–9 | 30.77% |
| toastertime99 vs Alisa | 10–2 | 83.33% |
| toastertime99 vs Leroy | 5–6 | 45.45% |
| toastertime99 vs Raven | 3–8 | 27.27% |
| toastertime99 vs Jack-8 | 5–5 | 50.00% |
| toastertime99 vs Panda | 7–2 | 77.78% |
| toastertime99 vs Zafina | 3–2 | 60.00% |
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.