| jose2722 vs King | 59–68 | 46.46% |
| jose2722 vs Jin | 63–55 | 53.39% |
| jose2722 vs Armor King | 33–45 | 42.31% |
| jose2722 vs Kazuya | 41–34 | 54.67% |
| jose2722 vs Asuka | 32–35 | 47.76% |
| jose2722 vs Steve | 37–28 | 56.92% |
| jose2722 vs Eddy | 24–39 | 38.10% |
| jose2722 vs Reina | 40–21 | 65.57% |
| jose2722 vs Hwoarang | 27–31 | 46.55% |
| jose2722 vs Lili | 32–26 | 55.17% |
| jose2722 vs Bryan | 25–29 | 46.30% |
| jose2722 vs Heihachi | 29–23 | 55.77% |
| jose2722 vs Azucena | 29–19 | 60.42% |
| jose2722 vs Law | 23–21 | 52.27% |
| jose2722 vs Clive | 23–21 | 52.27% |
| jose2722 vs Dragunov | 22–19 | 53.66% |
| jose2722 vs Lidia | 23–16 | 58.97% |
| jose2722 vs Paul | 20–18 | 52.63% |
| jose2722 vs Nina | 18–18 | 50.00% |
| jose2722 vs Yoshimitsu | 15–18 | 45.45% |
| jose2722 vs Devil Jin | 7–22 | 24.14% |
| jose2722 vs Lars | 12–17 | 41.38% |
| jose2722 vs Victor | 13–13 | 50.00% |
| jose2722 vs Alisa | 10–15 | 40.00% |
| jose2722 vs Jun | 9–14 | 39.13% |
| jose2722 vs Xiaoyu | 14–6 | 70.00% |
| jose2722 vs Leroy | 10–10 | 50.00% |
| jose2722 vs Lee | 8–11 | 42.11% |
| jose2722 vs Jack-8 | 3–11 | 21.43% |
| jose2722 vs Kuma | 7–7 | 50.00% |
| jose2722 vs Panda | 6–8 | 42.86% |
| jose2722 vs Fahkumram | 3–9 | 25.00% |
| jose2722 vs Leo | 4–6 | 40.00% |
| jose2722 vs Shaheen | 6–4 | 60.00% |
| jose2722 vs Anna | 3–5 | 37.50% |
| jose2722 vs Raven | 1–5 | 16.67% |
| jose2722 vs Feng | 2–3 | 40.00% |
| jose2722 vs Zafina | 2–2 | 50.00% |
| jose2722 vs Miary Zo | 3–1 | 75.00% |
| jose2722 vs Claudio | 0–1 | 0.00% |
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.