| tost vs Dragunov | 37–37 | 50.00% |
| tost vs Kazuya | 40–24 | 62.50% |
| tost vs Hwoarang | 35–28 | 55.56% |
| tost vs Bryan | 31–27 | 53.45% |
| tost vs Jin | 23–32 | 41.82% |
| tost vs King | 24–23 | 51.06% |
| tost vs Paul | 25–17 | 59.52% |
| tost vs Reina | 20–22 | 47.62% |
| tost vs Asuka | 18–19 | 48.65% |
| tost vs Steve | 26–10 | 72.22% |
| tost vs Victor | 16–12 | 57.14% |
| tost vs Azucena | 18–7 | 72.00% |
| tost vs Lili | 17–7 | 70.83% |
| tost vs Law | 9–13 | 40.91% |
| tost vs Lee | 8–14 | 36.36% |
| tost vs Devil Jin | 14–7 | 66.67% |
| tost vs Alisa | 11–8 | 57.89% |
| tost vs Jun | 6–13 | 31.58% |
| tost vs Heihachi | 10–8 | 55.56% |
| tost vs Clive | 7–11 | 38.89% |
| tost vs Fahkumram | 3–14 | 17.65% |
| tost vs Nina | 14–2 | 87.50% |
| tost vs Lars | 7–8 | 46.67% |
| tost vs Anna | 8–7 | 53.33% |
| tost vs Jack-8 | 3–10 | 23.08% |
| tost vs Leo | 7–5 | 58.33% |
| tost vs Armor King | 3–9 | 25.00% |
| tost vs Yoshimitsu | 4–7 | 36.36% |
| tost vs Lidia | 8–3 | 72.73% |
| tost vs Claudio | 6–4 | 60.00% |
| tost vs Leroy | 5–5 | 50.00% |
| tost vs Xiaoyu | 5–4 | 55.56% |
| tost vs Raven | 6–3 | 66.67% |
| tost vs Shaheen | 4–4 | 50.00% |
| tost vs Panda | 2–6 | 25.00% |
| tost vs Feng | 6–1 | 85.71% |
| tost vs Zafina | 2–2 | 50.00% |
| tost vs Kuma | 2–1 | 66.67% |
| tost vs Eddy | 1–1 | 50.00% |
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.