| yourecooked vs King | 21–28 | 42.86% |
| yourecooked vs Bryan | 13–14 | 48.15% |
| yourecooked vs Steve | 13–6 | 68.42% |
| yourecooked vs Armor King | 3–14 | 17.65% |
| yourecooked vs Hwoarang | 12–3 | 80.00% |
| yourecooked vs Eddy | 8–6 | 57.14% |
| yourecooked vs Dragunov | 5–6 | 45.45% |
| yourecooked vs Kazuya | 5–5 | 50.00% |
| yourecooked vs Claudio | 5–5 | 50.00% |
| yourecooked vs Heihachi | 5–5 | 50.00% |
| yourecooked vs Yoshimitsu | 6–3 | 66.67% |
| yourecooked vs Leo | 6–3 | 66.67% |
| yourecooked vs Reina | 2–7 | 22.22% |
| yourecooked vs Alisa | 2–6 | 25.00% |
| yourecooked vs Clive | 3–5 | 37.50% |
| yourecooked vs Jin | 1–6 | 14.29% |
| yourecooked vs Victor | 2–5 | 28.57% |
| yourecooked vs Lidia | 4–3 | 57.14% |
| yourecooked vs Lili | 4–2 | 66.67% |
| yourecooked vs Lee | 2–4 | 33.33% |
| yourecooked vs Miary Zo | 5–1 | 83.33% |
| yourecooked vs Paul | 1–4 | 20.00% |
| yourecooked vs Xiaoyu | 1–4 | 20.00% |
| yourecooked vs Asuka | 2–3 | 40.00% |
| yourecooked vs Lars | 3–2 | 60.00% |
| yourecooked vs Law | 2–2 | 50.00% |
| yourecooked vs Jun | 2–2 | 50.00% |
| yourecooked vs Fahkumram | 0–4 | 0.00% |
| yourecooked vs Kuma | 1–2 | 33.33% |
| yourecooked vs Feng | 0–2 | 0.00% |
| yourecooked vs Azucena | 2–0 | 100.00% |
| yourecooked vs Anna | 0–1 | 0.00% |
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.