| UNCA vs Kazuya | 41–26 | 61.19% |
| UNCA vs Reina | 35–27 | 56.45% |
| UNCA vs King | 29–22 | 56.86% |
| UNCA vs Paul | 27–21 | 56.25% |
| UNCA vs Jin | 32–16 | 66.67% |
| UNCA vs Asuka | 24–21 | 53.33% |
| UNCA vs Victor | 23–22 | 51.11% |
| UNCA vs Lili | 24–16 | 60.00% |
| UNCA vs Bryan | 16–20 | 44.44% |
| UNCA vs Law | 20–12 | 62.50% |
| UNCA vs Dragunov | 23–9 | 71.88% |
| UNCA vs Steve | 21–10 | 67.74% |
| UNCA vs Alisa | 15–16 | 48.39% |
| UNCA vs Lee | 18–11 | 62.07% |
| UNCA vs Hwoarang | 17–11 | 60.71% |
| UNCA vs Heihachi | 12–16 | 42.86% |
| UNCA vs Xiaoyu | 19–6 | 76.00% |
| UNCA vs Azucena | 15–8 | 65.22% |
| UNCA vs Jun | 16–6 | 72.73% |
| UNCA vs Claudio | 9–10 | 47.37% |
| UNCA vs Clive | 10–9 | 52.63% |
| UNCA vs Devil Jin | 8–9 | 47.06% |
| UNCA vs Lars | 6–9 | 40.00% |
| UNCA vs Nina | 9–6 | 60.00% |
| UNCA vs Lidia | 13–1 | 92.86% |
| UNCA vs Jack-8 | 5–7 | 41.67% |
| UNCA vs Shaheen | 7–5 | 58.33% |
| UNCA vs Eddy | 9–2 | 81.82% |
| UNCA vs Yoshimitsu | 6–3 | 66.67% |
| UNCA vs Feng | 8–1 | 88.89% |
| UNCA vs Leroy | 3–6 | 33.33% |
| UNCA vs Miary Zo | 5–2 | 71.43% |
| UNCA vs Kuma | 5–1 | 83.33% |
| UNCA vs Leo | 3–2 | 60.00% |
| UNCA vs Zafina | 1–4 | 20.00% |
| UNCA vs Raven | 3–1 | 75.00% |
| UNCA vs Anna | 3–1 | 75.00% |
| UNCA vs Armor King | 3–0 | 100.00% |
| UNCA vs Panda | 1–0 | 100.00% |
| UNCA vs Fahkumram | 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.