| farnerb0ck3n vs King | 20–26 | 43.48% |
| farnerb0ck3n vs Lidia | 17–26 | 39.53% |
| farnerb0ck3n vs Steve | 24–12 | 66.67% |
| farnerb0ck3n vs Kazuya | 25–9 | 73.53% |
| farnerb0ck3n vs Jin | 14–18 | 43.75% |
| farnerb0ck3n vs Asuka | 14–12 | 53.85% |
| farnerb0ck3n vs Hwoarang | 12–13 | 48.00% |
| farnerb0ck3n vs Paul | 13–11 | 54.17% |
| farnerb0ck3n vs Reina | 11–12 | 47.83% |
| farnerb0ck3n vs Victor | 12–7 | 63.16% |
| farnerb0ck3n vs Nina | 8–10 | 44.44% |
| farnerb0ck3n vs Lili | 8–9 | 47.06% |
| farnerb0ck3n vs Azucena | 14–3 | 82.35% |
| farnerb0ck3n vs Law | 4–10 | 28.57% |
| farnerb0ck3n vs Xiaoyu | 7–7 | 50.00% |
| farnerb0ck3n vs Jun | 8–6 | 57.14% |
| farnerb0ck3n vs Raven | 7–7 | 50.00% |
| farnerb0ck3n vs Feng | 6–7 | 46.15% |
| farnerb0ck3n vs Dragunov | 9–4 | 69.23% |
| farnerb0ck3n vs Yoshimitsu | 6–6 | 50.00% |
| farnerb0ck3n vs Bryan | 9–3 | 75.00% |
| farnerb0ck3n vs Kuma | 9–3 | 75.00% |
| farnerb0ck3n vs Eddy | 3–8 | 27.27% |
| farnerb0ck3n vs Leo | 3–7 | 30.00% |
| farnerb0ck3n vs Alisa | 5–4 | 55.56% |
| farnerb0ck3n vs Lee | 2–7 | 22.22% |
| farnerb0ck3n vs Jack-8 | 5–3 | 62.50% |
| farnerb0ck3n vs Lars | 3–5 | 37.50% |
| farnerb0ck3n vs Shaheen | 3–3 | 50.00% |
| farnerb0ck3n vs Panda | 1–5 | 16.67% |
| farnerb0ck3n vs Leroy | 2–2 | 50.00% |
| farnerb0ck3n vs Devil Jin | 2–1 | 66.67% |
| farnerb0ck3n vs Claudio | 1–2 | 33.33% |
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.