| Cheeks vs Kazuya | 27–12 | 69.23% |
| Cheeks vs King | 20–11 | 64.52% |
| Cheeks vs Bryan | 19–11 | 63.33% |
| Cheeks vs Dragunov | 15–13 | 53.57% |
| Cheeks vs Reina | 16–10 | 61.54% |
| Cheeks vs Law | 14–8 | 63.64% |
| Cheeks vs Jin | 15–6 | 71.43% |
| Cheeks vs Hwoarang | 15–5 | 75.00% |
| Cheeks vs Lars | 10–9 | 52.63% |
| Cheeks vs Steve | 9–7 | 56.25% |
| Cheeks vs Azucena | 9–7 | 56.25% |
| Cheeks vs Lee | 9–6 | 60.00% |
| Cheeks vs Victor | 10–5 | 66.67% |
| Cheeks vs Lili | 10–4 | 71.43% |
| Cheeks vs Eddy | 13–1 | 92.86% |
| Cheeks vs Alisa | 13–0 | 100.00% |
| Cheeks vs Kuma | 9–3 | 75.00% |
| Cheeks vs Jun | 7–5 | 58.33% |
| Cheeks vs Paul | 8–3 | 72.73% |
| Cheeks vs Yoshimitsu | 8–3 | 72.73% |
| Cheeks vs Nina | 9–2 | 81.82% |
| Cheeks vs Xiaoyu | 4–6 | 40.00% |
| Cheeks vs Claudio | 4–6 | 40.00% |
| Cheeks vs Raven | 7–3 | 70.00% |
| Cheeks vs Jack-8 | 4–5 | 44.44% |
| Cheeks vs Shaheen | 7–1 | 87.50% |
| Cheeks vs Leo | 7–0 | 100.00% |
| Cheeks vs Leroy | 3–3 | 50.00% |
| Cheeks vs Devil Jin | 3–2 | 60.00% |
| Cheeks vs Panda | 4–1 | 80.00% |
| Cheeks vs Asuka | 4–0 | 100.00% |
| Cheeks vs Feng | 1–3 | 25.00% |
| Cheeks vs Lidia | 1–2 | 33.33% |
| Cheeks vs Heihachi | 2–1 | 66.67% |
| Cheeks vs Clive | 3–0 | 100.00% |
| Cheeks vs Zafina | 1–1 | 50.00% |
| Cheeks vs Fahkumram | 2–0 | 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.