| Urmatch_ vs Hwoarang | 65–46 | 58.56% |
| Urmatch_ vs Law | 39–35 | 52.70% |
| Urmatch_ vs Jin | 38–33 | 53.52% |
| Urmatch_ vs Kazuya | 33–38 | 46.48% |
| Urmatch_ vs Dragunov | 38–31 | 55.07% |
| Urmatch_ vs Bryan | 36–29 | 55.38% |
| Urmatch_ vs King | 31–33 | 48.44% |
| Urmatch_ vs Paul | 30–28 | 51.72% |
| Urmatch_ vs Yoshimitsu | 24–22 | 52.17% |
| Urmatch_ vs Steve | 31–13 | 70.45% |
| Urmatch_ vs Reina | 26–12–2 | 68.42% |
| Urmatch_ vs Xiaoyu | 14–19 | 42.42% |
| Urmatch_ vs Raven | 13–19 | 40.62% |
| Urmatch_ vs Lars | 16–13 | 55.17% |
| Urmatch_ vs Asuka | 18–10 | 64.29% |
| Urmatch_ vs Devil Jin | 17–11 | 60.71% |
| Urmatch_ vs Feng | 14–12 | 53.85% |
| Urmatch_ vs Azucena | 13–13 | 50.00% |
| Urmatch_ vs Lee | 12–13 | 48.00% |
| Urmatch_ vs Lili | 9–15 | 37.50% |
| Urmatch_ vs Jun | 12–12 | 50.00% |
| Urmatch_ vs Alisa | 12–10 | 54.55% |
| Urmatch_ vs Heihachi | 14–8 | 63.64% |
| Urmatch_ vs Leroy | 10–11 | 47.62% |
| Urmatch_ vs Eddy | 7–12 | 36.84% |
| Urmatch_ vs Victor | 8–8 | 50.00% |
| Urmatch_ vs Fahkumram | 8–8 | 50.00% |
| Urmatch_ vs Nina | 5–10 | 33.33% |
| Urmatch_ vs Jack-8 | 4–10 | 28.57% |
| Urmatch_ vs Shaheen | 8–4 | 66.67% |
| Urmatch_ vs Armor King | 5–7 | 41.67% |
| Urmatch_ vs Anna | 7–4 | 63.64% |
| Urmatch_ vs Claudio | 4–5 | 44.44% |
| Urmatch_ vs Leo | 4–4 | 50.00% |
| Urmatch_ vs Clive | 5–3 | 62.50% |
| Urmatch_ vs Kuma | 7–0 | 100.00% |
| Urmatch_ vs Lidia | 6–1 | 85.71% |
| Urmatch_ vs Miary Zo | 3–2 | 60.00% |
| Urmatch_ vs Zafina | 1–3 | 25.00% |
| Urmatch_ vs Panda | 2–1 | 66.67% |
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.