| unreal_farsh vs King | 2–8 | 20.00% |
| unreal_farsh vs Reina | 6–2 | 75.00% |
| unreal_farsh vs Hwoarang | 2–4 | 33.33% |
| unreal_farsh vs Law | 4–1 | 80.00% |
| unreal_farsh vs Jack-8 | 2–3 | 40.00% |
| unreal_farsh vs Lili | 3–2 | 60.00% |
| unreal_farsh vs Nina | 0–4 | 0.00% |
| unreal_farsh vs Eddy | 1–3 | 25.00% |
| unreal_farsh vs Yoshimitsu | 1–2 | 33.33% |
| unreal_farsh vs Xiaoyu | 3–0 | 100.00% |
| unreal_farsh vs Feng | 1–2 | 33.33% |
| unreal_farsh vs Raven | 3–0 | 100.00% |
| unreal_farsh vs Jin | 1–1 | 50.00% |
| unreal_farsh vs Asuka | 0–2 | 0.00% |
| unreal_farsh vs Dragunov | 1–1 | 50.00% |
| unreal_farsh vs Alisa | 1–1 | 50.00% |
| unreal_farsh vs Victor | 0–2 | 0.00% |
| unreal_farsh vs Steve | 0–1 | 0.00% |
| unreal_farsh vs Jun | 1–0 | 100.00% |
| unreal_farsh vs Heihachi | 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.