| UMR vs Jin | 12–46 | 20.69% |
| UMR vs Reina | 29–25 | 53.70% |
| UMR vs King | 22–29 | 43.14% |
| UMR vs Steve | 20–30 | 40.00% |
| UMR vs Lidia | 12–38 | 24.00% |
| UMR vs Law | 16–29 | 35.56% |
| UMR vs Jun | 17–28 | 37.78% |
| UMR vs Hwoarang | 14–29 | 32.56% |
| UMR vs Lili | 10–27 | 27.03% |
| UMR vs Kazuya | 15–21 | 41.67% |
| UMR vs Asuka | 7–25 | 21.88% |
| UMR vs Dragunov | 11–19 | 36.67% |
| UMR vs Yoshimitsu | 8–18 | 30.77% |
| UMR vs Xiaoyu | 11–13 | 45.83% |
| UMR vs Nina | 6–17 | 26.09% |
| UMR vs Eddy | 4–19 | 17.39% |
| UMR vs Lee | 4–17 | 19.05% |
| UMR vs Bryan | 7–12 | 36.84% |
| UMR vs Feng | 9–10 | 47.37% |
| UMR vs Raven | 6–12 | 33.33% |
| UMR vs Paul | 3–13 | 18.75% |
| UMR vs Devil Jin | 6–10 | 37.50% |
| UMR vs Miary Zo | 6–10 | 37.50% |
| UMR vs Victor | 8–7 | 53.33% |
| UMR vs Anna | 8–6 | 57.14% |
| UMR vs Leroy | 7–5 | 58.33% |
| UMR vs Leo | 7–4 | 63.64% |
| UMR vs Alisa | 1–10 | 9.09% |
| UMR vs Claudio | 2–9 | 18.18% |
| UMR vs Heihachi | 2–8 | 20.00% |
| UMR vs Lars | 1–8 | 11.11% |
| UMR vs Kuma | 4–5 | 44.44% |
| UMR vs Zafina | 5–4 | 55.56% |
| UMR vs Clive | 1–8 | 11.11% |
| UMR vs Azucena | 3–5 | 37.50% |
| UMR vs Shaheen | 2–5 | 28.57% |
| UMR vs Panda | 3–4 | 42.86% |
| UMR vs Armor King | 4–3 | 57.14% |
| UMR vs Jack-8 | 1–5 | 16.67% |
| UMR vs Fahkumram | 0–3 | 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.