| La Frip vs Kazuya | 27–27 | 50.00% |
| La Frip vs Reina | 23–20 | 53.49% |
| La Frip vs Bryan | 23–19 | 54.76% |
| La Frip vs Jin | 18–21 | 46.15% |
| La Frip vs Law | 16–16 | 50.00% |
| La Frip vs Nina | 15–14 | 51.72% |
| La Frip vs King | 12–13 | 48.00% |
| La Frip vs Lee | 13–12 | 52.00% |
| La Frip vs Azucena | 15–10 | 60.00% |
| La Frip vs Yoshimitsu | 14–8 | 63.64% |
| La Frip vs Hwoarang | 9–13 | 40.91% |
| La Frip vs Dragunov | 10–12 | 45.45% |
| La Frip vs Asuka | 10–11 | 47.62% |
| La Frip vs Lili | 4–15 | 21.05% |
| La Frip vs Paul | 9–6 | 60.00% |
| La Frip vs Steve | 9–5 | 64.29% |
| La Frip vs Eddy | 2–12 | 14.29% |
| La Frip vs Kuma | 5–8 | 38.46% |
| La Frip vs Victor | 8–5 | 61.54% |
| La Frip vs Jun | 6–5 | 54.55% |
| La Frip vs Xiaoyu | 4–6 | 40.00% |
| La Frip vs Alisa | 5–5 | 50.00% |
| La Frip vs Lars | 1–8 | 11.11% |
| La Frip vs Devil Jin | 3–5 | 37.50% |
| La Frip vs Leo | 4–3 | 57.14% |
| La Frip vs Claudio | 4–3 | 57.14% |
| La Frip vs Leroy | 2–5 | 28.57% |
| La Frip vs Clive | 4–3 | 57.14% |
| La Frip vs Heihachi | 4–2 | 66.67% |
| La Frip vs Jack-8 | 1–4 | 20.00% |
| La Frip vs Feng | 1–4 | 20.00% |
| La Frip vs Zafina | 1–3 | 25.00% |
| La Frip vs Raven | 1–3 | 25.00% |
| La Frip vs Panda | 1–2 | 33.33% |
| La Frip vs Shaheen | 2–0 | 100.00% |
| La Frip vs Lidia | 1–1 | 50.00% |
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.