| Pats vs Kazuya | 32–27 | 54.24% |
| Pats vs King | 31–23 | 57.41% |
| Pats vs Jin | 21–30 | 41.18% |
| Pats vs Reina | 24–24 | 50.00% |
| Pats vs Hwoarang | 19–23 | 45.24% |
| Pats vs Steve | 17–24 | 41.46% |
| Pats vs Dragunov | 17–21 | 44.74% |
| Pats vs Law | 24–12 | 66.67% |
| Pats vs Victor | 9–17 | 34.62% |
| Pats vs Paul | 10–12 | 45.45% |
| Pats vs Yoshimitsu | 10–11 | 47.62% |
| Pats vs Asuka | 12–9 | 57.14% |
| Pats vs Eddy | 7–14 | 33.33% |
| Pats vs Azucena | 12–8 | 60.00% |
| Pats vs Bryan | 7–12 | 36.84% |
| Pats vs Devil Jin | 11–8 | 57.89% |
| Pats vs Kuma | 10–9 | 52.63% |
| Pats vs Shaheen | 8–10 | 44.44% |
| Pats vs Lili | 9–7 | 56.25% |
| Pats vs Lars | 6–10 | 37.50% |
| Pats vs Lee | 9–6 | 60.00% |
| Pats vs Nina | 7–7 | 50.00% |
| Pats vs Leo | 7–5 | 58.33% |
| Pats vs Leroy | 4–8 | 33.33% |
| Pats vs Raven | 5–7 | 41.67% |
| Pats vs Xiaoyu | 8–3 | 72.73% |
| Pats vs Feng | 4–6 | 40.00% |
| Pats vs Jun | 4–6 | 40.00% |
| Pats vs Miary Zo | 6–4 | 60.00% |
| Pats vs Alisa | 4–4 | 50.00% |
| Pats vs Jack-8 | 4–2 | 66.67% |
| Pats vs Panda | 3–3 | 50.00% |
| Pats vs Heihachi | 4–2 | 66.67% |
| Pats vs Claudio | 2–3 | 40.00% |
| Pats vs Armor King | 2–3 | 40.00% |
| Pats vs Lidia | 1–2 | 33.33% |
| Pats vs Clive | 3–0 | 100.00% |
| Pats vs Fahkumram | 0–2 | 0.00% |
| Pats 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.