| paet vs Jin | 38–62 | 38.00% |
| paet vs Kazuya | 27–47 | 36.49% |
| paet vs Dragunov | 27–41 | 39.71% |
| paet vs Reina | 29–37 | 43.94% |
| paet vs Steve | 21–30 | 41.18% |
| paet vs King | 19–27 | 41.30% |
| paet vs Bryan | 14–29 | 32.56% |
| paet vs Lili | 25–18 | 58.14% |
| paet vs Law | 15–25 | 37.50% |
| paet vs Paul | 16–21 | 43.24% |
| paet vs Victor | 14–20 | 41.18% |
| paet vs Heihachi | 11–18 | 37.93% |
| paet vs Azucena | 11–17 | 39.29% |
| paet vs Lars | 12–15 | 44.44% |
| paet vs Yoshimitsu | 7–13 | 35.00% |
| paet vs Xiaoyu | 9–11 | 45.00% |
| paet vs Jack-8 | 7–12 | 36.84% |
| paet vs Jun | 5–13 | 27.78% |
| paet vs Hwoarang | 5–12 | 29.41% |
| paet vs Nina | 6–11 | 35.29% |
| paet vs Lidia | 9–7 | 56.25% |
| paet vs Leo | 2–13 | 13.33% |
| paet vs Eddy | 4–9 | 30.77% |
| paet vs Fahkumram | 6–7 | 46.15% |
| paet vs Clive | 4–7 | 36.36% |
| paet vs Leroy | 5–4 | 55.56% |
| paet vs Claudio | 6–2 | 75.00% |
| paet vs Armor King | 2–6 | 25.00% |
| paet vs Asuka | 0–6 | 0.00% |
| paet vs Feng | 0–6 | 0.00% |
| paet vs Lee | 0–6 | 0.00% |
| paet vs Alisa | 5–0 | 100.00% |
| paet vs Shaheen | 2–3 | 40.00% |
| paet vs Devil Jin | 2–2 | 50.00% |
| paet vs Zafina | 0–4 | 0.00% |
| paet vs Raven | 0–4 | 0.00% |
| paet vs Panda | 2–1 | 66.67% |
| paet vs Miary Zo | 2–1 | 66.67% |
| paet vs Kuma | 2–0 | 100.00% |
| paet vs Anna | 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.