| ESPN33 vs King | 31–52 | 37.35% |
| ESPN33 vs Jin | 25–49 | 33.78% |
| ESPN33 vs Steve | 33–36 | 47.83% |
| ESPN33 vs Eddy | 20–45 | 30.77% |
| ESPN33 vs Reina | 26–37 | 41.27% |
| ESPN33 vs Hwoarang | 17–40 | 29.82% |
| ESPN33 vs Kazuya | 14–36 | 28.00% |
| ESPN33 vs Law | 9–30 | 23.08% |
| ESPN33 vs Dragunov | 15–21 | 41.67% |
| ESPN33 vs Victor | 11–24 | 31.43% |
| ESPN33 vs Paul | 8–23 | 25.81% |
| ESPN33 vs Bryan | 8–23 | 25.81% |
| ESPN33 vs Azucena | 11–20 | 35.48% |
| ESPN33 vs Lars | 7–22 | 24.14% |
| ESPN33 vs Lee | 15–14 | 51.72% |
| ESPN33 vs Jun | 10–19 | 34.48% |
| ESPN33 vs Xiaoyu | 14–14 | 50.00% |
| ESPN33 vs Lili | 17–11 | 60.71% |
| ESPN33 vs Asuka | 9–16 | 36.00% |
| ESPN33 vs Leo | 8–14 | 36.36% |
| ESPN33 vs Leroy | 9–13 | 40.91% |
| ESPN33 vs Yoshimitsu | 8–13 | 38.10% |
| ESPN33 vs Devil Jin | 6–15 | 28.57% |
| ESPN33 vs Nina | 11–10 | 52.38% |
| ESPN33 vs Raven | 8–11 | 42.11% |
| ESPN33 vs Lidia | 10–7 | 58.82% |
| ESPN33 vs Feng | 7–8 | 46.67% |
| ESPN33 vs Fahkumram | 7–5 | 58.33% |
| ESPN33 vs Alisa | 4–7 | 36.36% |
| ESPN33 vs Shaheen | 3–8 | 27.27% |
| ESPN33 vs Claudio | 2–8 | 20.00% |
| ESPN33 vs Kuma | 2–8 | 20.00% |
| ESPN33 vs Jack-8 | 2–7 | 22.22% |
| ESPN33 vs Zafina | 7–1 | 87.50% |
| ESPN33 vs Panda | 2–4 | 33.33% |
| ESPN33 vs Heihachi | 2–3 | 40.00% |
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.