| Patxi--Field vs King | 12–7 | 63.16% |
| Patxi--Field vs Hwoarang | 11–6 | 64.71% |
| Patxi--Field vs Jin | 11–4 | 73.33% |
| Patxi--Field vs Bryan | 9–6 | 60.00% |
| Patxi--Field vs Eddy | 9–6 | 60.00% |
| Patxi--Field vs Paul | 8–5 | 61.54% |
| Patxi--Field vs Law | 7–6 | 53.85% |
| Patxi--Field vs Steve | 7–4 | 63.64% |
| Patxi--Field vs Lili | 5–6 | 45.45% |
| Patxi--Field vs Zafina | 7–4 | 63.64% |
| Patxi--Field vs Alisa | 5–5 | 50.00% |
| Patxi--Field vs Yoshimitsu | 1–8 | 11.11% |
| Patxi--Field vs Kazuya | 6–3 | 66.67% |
| Patxi--Field vs Feng | 6–3 | 66.67% |
| Patxi--Field vs Leo | 2–5 | 28.57% |
| Patxi--Field vs Leroy | 5–1 | 83.33% |
| Patxi--Field vs Jun | 4–2 | 66.67% |
| Patxi--Field vs Azucena | 2–4 | 33.33% |
| Patxi--Field vs Kuma | 2–3 | 40.00% |
| Patxi--Field vs Reina | 3–2 | 60.00% |
| Patxi--Field vs Lars | 2–2 | 50.00% |
| Patxi--Field vs Victor | 4–0 | 100.00% |
| Patxi--Field vs Asuka | 3–0 | 100.00% |
| Patxi--Field vs Devil Jin | 2–1 | 66.67% |
| Patxi--Field vs Dragunov | 3–0 | 100.00% |
| Patxi--Field vs Nina | 1–2 | 33.33% |
| Patxi--Field vs Xiaoyu | 1–1 | 50.00% |
| Patxi--Field vs Claudio | 2–0 | 100.00% |
| Patxi--Field vs Shaheen | 2–0 | 100.00% |
| Patxi--Field vs Panda | 2–0 | 100.00% |
| Patxi--Field vs Raven | 1–1 | 50.00% |
| Patxi--Field vs Jack-8 | 1–0 | 100.00% |
| Patxi--Field vs Lee | 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.