| look_at_me_mf vs Kazuya | 15–14 | 51.72% |
| look_at_me_mf vs Jun | 18–3 | 85.71% |
| look_at_me_mf vs Jin | 9–8 | 52.94% |
| look_at_me_mf vs Bryan | 14–2 | 87.50% |
| look_at_me_mf vs Asuka | 10–6 | 62.50% |
| look_at_me_mf vs Dragunov | 10–5 | 66.67% |
| look_at_me_mf vs Reina | 8–6 | 57.14% |
| look_at_me_mf vs Victor | 10–4 | 71.43% |
| look_at_me_mf vs Paul | 5–5 | 50.00% |
| look_at_me_mf vs King | 4–6 | 40.00% |
| look_at_me_mf vs Steve | 4–6 | 40.00% |
| look_at_me_mf vs Yoshimitsu | 6–2 | 75.00% |
| look_at_me_mf vs Xiaoyu | 6–2 | 75.00% |
| look_at_me_mf vs Leo | 3–5 | 37.50% |
| look_at_me_mf vs Jack-8 | 4–3 | 57.14% |
| look_at_me_mf vs Lili | 6–1 | 85.71% |
| look_at_me_mf vs Leroy | 2–5 | 28.57% |
| look_at_me_mf vs Clive | 7–0 | 100.00% |
| look_at_me_mf vs Hwoarang | 4–2 | 66.67% |
| look_at_me_mf vs Alisa | 4–2 | 66.67% |
| look_at_me_mf vs Lidia | 4–2 | 66.67% |
| look_at_me_mf vs Heihachi | 2–4 | 33.33% |
| look_at_me_mf vs Fahkumram | 4–2 | 66.67% |
| look_at_me_mf vs Law | 4–1 | 80.00% |
| look_at_me_mf vs Kuma | 4–1 | 80.00% |
| look_at_me_mf vs Eddy | 4–1 | 80.00% |
| look_at_me_mf vs Devil Jin | 4–0 | 100.00% |
| look_at_me_mf vs Azucena | 3–1 | 75.00% |
| look_at_me_mf vs Nina | 3–0 | 100.00% |
| look_at_me_mf vs Lars | 2–0 | 100.00% |
| look_at_me_mf vs Armor King | 0–2 | 0.00% |
| look_at_me_mf vs Anna | 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.