| tonyvnt vs King | 16–22 | 42.11% |
| tonyvnt vs Hwoarang | 18–15 | 54.55% |
| tonyvnt vs Kazuya | 13–15 | 46.43% |
| tonyvnt vs Paul | 11–13 | 45.83% |
| tonyvnt vs Jin | 7–17 | 29.17% |
| tonyvnt vs Lili | 12–12 | 50.00% |
| tonyvnt vs Reina | 15–9 | 62.50% |
| tonyvnt vs Yoshimitsu | 17–6 | 73.91% |
| tonyvnt vs Law | 11–10 | 52.38% |
| tonyvnt vs Azucena | 12–9 | 57.14% |
| tonyvnt vs Steve | 11–8 | 57.89% |
| tonyvnt vs Victor | 8–8 | 50.00% |
| tonyvnt vs Eddy | 6–10 | 37.50% |
| tonyvnt vs Feng | 6–9 | 40.00% |
| tonyvnt vs Zafina | 8–7 | 53.33% |
| tonyvnt vs Jun | 4–10 | 28.57% |
| tonyvnt vs Lars | 8–4 | 66.67% |
| tonyvnt vs Lee | 6–6 | 50.00% |
| tonyvnt vs Anna | 6–6 | 50.00% |
| tonyvnt vs Claudio | 4–7 | 36.36% |
| tonyvnt vs Heihachi | 6–4 | 60.00% |
| tonyvnt vs Devil Jin | 2–7 | 22.22% |
| tonyvnt vs Dragunov | 7–2 | 77.78% |
| tonyvnt vs Kuma | 5–4 | 55.56% |
| tonyvnt vs Xiaoyu | 4–4 | 50.00% |
| tonyvnt vs Jack-8 | 5–3 | 62.50% |
| tonyvnt vs Alisa | 4–4 | 50.00% |
| tonyvnt vs Nina | 2–4 | 33.33% |
| tonyvnt vs Leo | 4–1 | 80.00% |
| tonyvnt vs Raven | 2–3 | 40.00% |
| tonyvnt vs Lidia | 2–3 | 40.00% |
| tonyvnt vs Bryan | 2–1 | 66.67% |
| tonyvnt vs Asuka | 2–1 | 66.67% |
| tonyvnt vs Panda | 1–2 | 33.33% |
| tonyvnt vs Leroy | 2–1 | 66.67% |
| tonyvnt vs Clive | 3–0 | 100.00% |
| tonyvnt vs Shaheen | 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.