| Toastbaby_tv vs Armor King | 102–82 | 55.43% |
| Toastbaby_tv vs Kazuya | 53–69 | 43.44% |
| Toastbaby_tv vs Bryan | 50–40 | 55.56% |
| Toastbaby_tv vs King | 44–45 | 49.44% |
| Toastbaby_tv vs Reina | 42–37 | 53.16% |
| Toastbaby_tv vs Jin | 41–27 | 60.29% |
| Toastbaby_tv vs Hwoarang | 32–35 | 47.76% |
| Toastbaby_tv vs Paul | 26–39 | 40.00% |
| Toastbaby_tv vs Dragunov | 37–18 | 67.27% |
| Toastbaby_tv vs Heihachi | 26–26 | 50.00% |
| Toastbaby_tv vs Yoshimitsu | 28–21 | 57.14% |
| Toastbaby_tv vs Azucena | 19–25 | 43.18% |
| Toastbaby_tv vs Law | 18–15 | 54.55% |
| Toastbaby_tv vs Steve | 15–18 | 45.45% |
| Toastbaby_tv vs Devil Jin | 11–22 | 33.33% |
| Toastbaby_tv vs Lee | 16–15 | 51.61% |
| Toastbaby_tv vs Asuka | 12–18 | 40.00% |
| Toastbaby_tv vs Feng | 21–9 | 70.00% |
| Toastbaby_tv vs Lili | 12–17 | 41.38% |
| Toastbaby_tv vs Raven | 10–17 | 37.04% |
| Toastbaby_tv vs Fahkumram | 10–16 | 38.46% |
| Toastbaby_tv vs Alisa | 13–12 | 52.00% |
| Toastbaby_tv vs Jun | 11–14 | 44.00% |
| Toastbaby_tv vs Clive | 7–17 | 29.17% |
| Toastbaby_tv vs Leo | 15–6 | 71.43% |
| Toastbaby_tv vs Lidia | 10–11 | 47.62% |
| Toastbaby_tv vs Anna | 9–11 | 45.00% |
| Toastbaby_tv vs Nina | 13–6 | 68.42% |
| Toastbaby_tv vs Claudio | 8–10 | 44.44% |
| Toastbaby_tv vs Zafina | 8–9 | 47.06% |
| Toastbaby_tv vs Jack-8 | 7–9 | 43.75% |
| Toastbaby_tv vs Lars | 8–5 | 61.54% |
| Toastbaby_tv vs Leroy | 10–3 | 76.92% |
| Toastbaby_tv vs Shaheen | 7–5 | 58.33% |
| Toastbaby_tv vs Eddy | 3–7 | 30.00% |
| Toastbaby_tv vs Xiaoyu | 4–4 | 50.00% |
| Toastbaby_tv vs Kuma | 5–2 | 71.43% |
| Toastbaby_tv vs Victor | 1–4 | 20.00% |
| Toastbaby_tv vs Panda | 2–0 | 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.