| uNcFred vs Steve | 14–19 | 42.42% |
| uNcFred vs Lili | 16–15 | 51.61% |
| uNcFred vs Hwoarang | 15–15 | 50.00% |
| uNcFred vs Jin | 17–12 | 58.62% |
| uNcFred vs Law | 12–16 | 42.86% |
| uNcFred vs Kazuya | 15–11 | 57.69% |
| uNcFred vs Eddy | 7–15 | 31.82% |
| uNcFred vs Dragunov | 9–12 | 42.86% |
| uNcFred vs King | 8–12 | 40.00% |
| uNcFred vs Jun | 12–6 | 66.67% |
| uNcFred vs Reina | 12–6 | 66.67% |
| uNcFred vs Yoshimitsu | 9–8 | 52.94% |
| uNcFred vs Victor | 5–12 | 29.41% |
| uNcFred vs Heihachi | 9–7 | 56.25% |
| uNcFred vs Clive | 9–6 | 60.00% |
| uNcFred vs Azucena | 9–5 | 64.29% |
| uNcFred vs Paul | 6–6 | 50.00% |
| uNcFred vs Xiaoyu | 5–7 | 41.67% |
| uNcFred vs Lars | 5–7 | 41.67% |
| uNcFred vs Asuka | 2–9 | 18.18% |
| uNcFred vs Feng | 5–6 | 45.45% |
| uNcFred vs Nina | 8–3 | 72.73% |
| uNcFred vs Fahkumram | 7–4 | 63.64% |
| uNcFred vs Bryan | 3–6 | 33.33% |
| uNcFred vs Devil Jin | 4–4 | 50.00% |
| uNcFred vs Alisa | 4–2 | 66.67% |
| uNcFred vs Leo | 4–1 | 80.00% |
| uNcFred vs Lee | 1–4 | 20.00% |
| uNcFred vs Panda | 4–1 | 80.00% |
| uNcFred vs Raven | 4–1 | 80.00% |
| uNcFred vs Lidia | 2–2 | 50.00% |
| uNcFred vs Anna | 2–2 | 50.00% |
| uNcFred vs Jack-8 | 2–1 | 66.67% |
| uNcFred vs Kuma | 1–1 | 50.00% |
| uNcFred vs Shaheen | 1–0 | 100.00% |
| uNcFred vs Armor King | 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.