| UCNCM vs Jin | 20–21 | 48.78% |
| UCNCM vs Law | 13–19 | 40.62% |
| UCNCM vs King | 15–17 | 46.88% |
| UCNCM vs Steve | 19–13 | 59.38% |
| UCNCM vs Kazuya | 15–13 | 53.57% |
| UCNCM vs Reina | 13–13 | 50.00% |
| UCNCM vs Dragunov | 6–17 | 26.09% |
| UCNCM vs Asuka | 11–11 | 50.00% |
| UCNCM vs Armor King | 7–13 | 35.00% |
| UCNCM vs Paul | 9–10 | 47.37% |
| UCNCM vs Hwoarang | 4–14 | 22.22% |
| UCNCM vs Lidia | 11–5 | 68.75% |
| UCNCM vs Lars | 7–8 | 46.67% |
| UCNCM vs Yoshimitsu | 9–5 | 64.29% |
| UCNCM vs Victor | 3–10 | 23.08% |
| UCNCM vs Heihachi | 5–7 | 41.67% |
| UCNCM vs Fahkumram | 5–7 | 41.67% |
| UCNCM vs Feng | 6–5 | 54.55% |
| UCNCM vs Leo | 6–5 | 54.55% |
| UCNCM vs Leroy | 7–3 | 70.00% |
| UCNCM vs Clive | 4–6 | 40.00% |
| UCNCM vs Lili | 6–3 | 66.67% |
| UCNCM vs Nina | 6–3 | 66.67% |
| UCNCM vs Alisa | 3–5 | 37.50% |
| UCNCM vs Devil Jin | 4–3 | 57.14% |
| UCNCM vs Jun | 1–6 | 14.29% |
| UCNCM vs Azucena | 3–4 | 42.86% |
| UCNCM vs Claudio | 5–1 | 83.33% |
| UCNCM vs Anna | 2–4 | 33.33% |
| UCNCM vs Xiaoyu | 3–2 | 60.00% |
| UCNCM vs Bryan | 1–4 | 20.00% |
| UCNCM vs Shaheen | 3–2 | 60.00% |
| UCNCM vs Eddy | 2–3 | 40.00% |
| UCNCM vs Kuma | 4–0 | 100.00% |
| UCNCM vs Jack-8 | 1–1 | 50.00% |
| UCNCM vs Lee | 0–2 | 0.00% |
| UCNCM vs Panda | 0–2 | 0.00% |
| UCNCM vs Zafina | 0–2 | 0.00% |
| UCNCM vs Raven | 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.