| UK_7 vs Jin | 30–37 | 44.78% |
| UK_7 vs Kazuya | 22–33 | 40.00% |
| UK_7 vs King | 17–24 | 41.46% |
| UK_7 vs Hwoarang | 14–25 | 35.90% |
| UK_7 vs Law | 21–17 | 55.26% |
| UK_7 vs Steve | 17–14 | 54.84% |
| UK_7 vs Armor King | 10–20 | 33.33% |
| UK_7 vs Reina | 12–16 | 42.86% |
| UK_7 vs Bryan | 11–15 | 42.31% |
| UK_7 vs Jun | 12–13 | 48.00% |
| UK_7 vs Dragunov | 7–15 | 31.82% |
| UK_7 vs Yoshimitsu | 10–11 | 47.62% |
| UK_7 vs Lili | 9–12 | 42.86% |
| UK_7 vs Asuka | 10–9 | 52.63% |
| UK_7 vs Devil Jin | 13–5 | 72.22% |
| UK_7 vs Eddy | 4–14 | 22.22% |
| UK_7 vs Azucena | 8–9 | 47.06% |
| UK_7 vs Clive | 7–10 | 41.18% |
| UK_7 vs Heihachi | 4–12 | 25.00% |
| UK_7 vs Miary Zo | 3–12 | 20.00% |
| UK_7 vs Alisa | 7–6 | 53.85% |
| UK_7 vs Leroy | 4–9 | 30.77% |
| UK_7 vs Victor | 5–8 | 38.46% |
| UK_7 vs Lars | 3–9 | 25.00% |
| UK_7 vs Anna | 7–5 | 58.33% |
| UK_7 vs Feng | 2–9 | 18.18% |
| UK_7 vs Nina | 5–6 | 45.45% |
| UK_7 vs Lee | 4–6 | 40.00% |
| UK_7 vs Paul | 3–6 | 33.33% |
| UK_7 vs Lidia | 4–5 | 44.44% |
| UK_7 vs Kuma | 5–3 | 62.50% |
| UK_7 vs Xiaoyu | 2–3 | 40.00% |
| UK_7 vs Jack-8 | 2–3 | 40.00% |
| UK_7 vs Panda | 2–3 | 40.00% |
| UK_7 vs Fahkumram | 1–4 | 20.00% |
| UK_7 vs Claudio | 1–3 | 25.00% |
| UK_7 vs Shaheen | 2–2 | 50.00% |
| UK_7 vs Leo | 1–1 | 50.00% |
| UK_7 vs Zafina | 0–2 | 0.00% |
| UK_7 vs Raven | 1–0 | 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.