| Umadimcheesy vs King | 19–23 | 45.24% |
| Umadimcheesy vs Hwoarang | 11–19 | 36.67% |
| Umadimcheesy vs Kazuya | 12–13 | 48.00% |
| Umadimcheesy vs Steve | 13–11 | 54.17% |
| Umadimcheesy vs Reina | 15–8 | 65.22% |
| Umadimcheesy vs Lidia | 14–7 | 66.67% |
| Umadimcheesy vs Bryan | 9–8 | 52.94% |
| Umadimcheesy vs Jun | 11–5 | 68.75% |
| Umadimcheesy vs Anna | 4–12 | 25.00% |
| Umadimcheesy vs Law | 7–8 | 46.67% |
| Umadimcheesy vs Victor | 9–6 | 60.00% |
| Umadimcheesy vs Eddy | 9–6 | 60.00% |
| Umadimcheesy vs Clive | 9–6 | 60.00% |
| Umadimcheesy vs Lee | 4–8 | 33.33% |
| Umadimcheesy vs Heihachi | 2–9 | 18.18% |
| Umadimcheesy vs Asuka | 6–4 | 60.00% |
| Umadimcheesy vs Jin | 6–3 | 66.67% |
| Umadimcheesy vs Lars | 4–5 | 44.44% |
| Umadimcheesy vs Dragunov | 3–5 | 37.50% |
| Umadimcheesy vs Panda | 3–5 | 37.50% |
| Umadimcheesy vs Azucena | 4–3 | 57.14% |
| Umadimcheesy vs Armor King | 2–5 | 28.57% |
| Umadimcheesy vs Zafina | 1–5 | 16.67% |
| Umadimcheesy vs Leroy | 3–3 | 50.00% |
| Umadimcheesy vs Raven | 3–3 | 50.00% |
| Umadimcheesy vs Fahkumram | 2–4 | 33.33% |
| Umadimcheesy vs Devil Jin | 5–0 | 100.00% |
| Umadimcheesy vs Lili | 4–1 | 80.00% |
| Umadimcheesy vs Leo | 2–3 | 40.00% |
| Umadimcheesy vs Nina | 2–2 | 50.00% |
| Umadimcheesy vs Yoshimitsu | 0–3 | 0.00% |
| Umadimcheesy vs Jack-8 | 0–3 | 0.00% |
| Umadimcheesy vs Alisa | 1–2 | 33.33% |
| Umadimcheesy vs Paul | 2–0 | 100.00% |
| Umadimcheesy vs Xiaoyu | 0–2 | 0.00% |
| Umadimcheesy vs Claudio | 2–0 | 100.00% |
| Umadimcheesy vs Feng | 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.