| Farfollero vs Law | 7–13 | 35.00% |
| Farfollero vs Jin | 6–14 | 30.00% |
| Farfollero vs Hwoarang | 4–8 | 33.33% |
| Farfollero vs Jun | 5–7 | 41.67% |
| Farfollero vs Reina | 8–3 | 72.73% |
| Farfollero vs Bryan | 1–9 | 10.00% |
| Farfollero vs Lili | 3–7 | 30.00% |
| Farfollero vs Azucena | 3–6 | 33.33% |
| Farfollero vs Yoshimitsu | 4–4 | 50.00% |
| Farfollero vs Kazuya | 2–6 | 25.00% |
| Farfollero vs Steve | 0–8 | 0.00% |
| Farfollero vs Lars | 5–3 | 62.50% |
| Farfollero vs Clive | 2–6 | 25.00% |
| Farfollero vs Feng | 2–5 | 28.57% |
| Farfollero vs Kuma | 6–1 | 85.71% |
| Farfollero vs King | 4–2 | 66.67% |
| Farfollero vs Victor | 1–5 | 16.67% |
| Farfollero vs Eddy | 1–5 | 16.67% |
| Farfollero vs Paul | 0–5 | 0.00% |
| Farfollero vs Asuka | 3–2 | 60.00% |
| Farfollero vs Alisa | 2–3 | 40.00% |
| Farfollero vs Lee | 1–4 | 20.00% |
| Farfollero vs Lidia | 3–2 | 60.00% |
| Farfollero vs Anna | 3–2 | 60.00% |
| Farfollero vs Devil Jin | 3–1 | 75.00% |
| Farfollero vs Dragunov | 1–3 | 25.00% |
| Farfollero vs Shaheen | 2–2 | 50.00% |
| Farfollero vs Leroy | 0–4 | 0.00% |
| Farfollero vs Raven | 0–4 | 0.00% |
| Farfollero vs Heihachi | 4–0 | 100.00% |
| Farfollero vs Xiaoyu | 3–0 | 100.00% |
| Farfollero vs Fahkumram | 1–2 | 33.33% |
| Farfollero vs Nina | 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.