| UglyNOA vs Jin | 28–31 | 47.46% |
| UglyNOA vs King | 18–20 | 47.37% |
| UglyNOA vs Dragunov | 15–22 | 40.54% |
| UglyNOA vs Bryan | 14–21 | 40.00% |
| UglyNOA vs Kazuya | 16–15 | 51.61% |
| UglyNOA vs Law | 15–14 | 51.72% |
| UglyNOA vs Heihachi | 13–16 | 44.83% |
| UglyNOA vs Yoshimitsu | 16–10 | 61.54% |
| UglyNOA vs Hwoarang | 10–10 | 50.00% |
| UglyNOA vs Lee | 7–13 | 35.00% |
| UglyNOA vs Victor | 10–7 | 58.82% |
| UglyNOA vs Feng | 9–7 | 56.25% |
| UglyNOA vs Fahkumram | 9–6 | 60.00% |
| UglyNOA vs Eddy | 8–6 | 57.14% |
| UglyNOA vs Steve | 10–3 | 76.92% |
| UglyNOA vs Devil Jin | 5–8 | 38.46% |
| UglyNOA vs Jun | 5–7 | 41.67% |
| UglyNOA vs Paul | 6–4 | 60.00% |
| UglyNOA vs Clive | 3–7 | 30.00% |
| UglyNOA vs Azucena | 4–5 | 44.44% |
| UglyNOA vs Jack-8 | 5–3 | 62.50% |
| UglyNOA vs Claudio | 2–6 | 25.00% |
| UglyNOA vs Raven | 5–3 | 62.50% |
| UglyNOA vs Lars | 1–6 | 14.29% |
| UglyNOA vs Lili | 1–5 | 16.67% |
| UglyNOA vs Zafina | 4–2 | 66.67% |
| UglyNOA vs Reina | 4–2 | 66.67% |
| UglyNOA vs Armor King | 2–4 | 33.33% |
| UglyNOA vs Asuka | 4–1 | 80.00% |
| UglyNOA vs Alisa | 2–2 | 50.00% |
| UglyNOA vs Leo | 1–2 | 33.33% |
| UglyNOA vs Lidia | 0–3 | 0.00% |
| UglyNOA vs Anna | 2–1 | 66.67% |
| UglyNOA vs Kuma | 2–0 | 100.00% |
| UglyNOA vs Xiaoyu | 0–1 | 0.00% |
| UglyNOA vs Nina | 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.