| Drunk Uncle vs Hwoarang | 13–13 | 50.00% |
| Drunk Uncle vs Eddy | 6–16 | 27.27% |
| Drunk Uncle vs Reina | 13–7 | 65.00% |
| Drunk Uncle vs Steve | 11–4 | 73.33% |
| Drunk Uncle vs Lili | 6–8 | 42.86% |
| Drunk Uncle vs King | 5–7 | 41.67% |
| Drunk Uncle vs Leroy | 5–6 | 45.45% |
| Drunk Uncle vs Azucena | 3–8 | 27.27% |
| Drunk Uncle vs Law | 4–5–1 | 44.44% |
| Drunk Uncle vs Kazuya | 7–3 | 70.00% |
| Drunk Uncle vs Asuka | 4–6 | 40.00% |
| Drunk Uncle vs Lars | 2–8 | 20.00% |
| Drunk Uncle vs Jin | 2–7 | 22.22% |
| Drunk Uncle vs Bryan | 4–5 | 44.44% |
| Drunk Uncle vs Dragunov | 2–7 | 22.22% |
| Drunk Uncle vs Alisa | 3–4 | 42.86% |
| Drunk Uncle vs Zafina | 1–6 | 14.29% |
| Drunk Uncle vs Xiaoyu | 1–5 | 16.67% |
| Drunk Uncle vs Lee | 4–2 | 66.67% |
| Drunk Uncle vs Jun | 0–6 | 0.00% |
| Drunk Uncle vs Victor | 1–5 | 16.67% |
| Drunk Uncle vs Yoshimitsu | 1–4 | 20.00% |
| Drunk Uncle vs Jack-8 | 2–3 | 40.00% |
| Drunk Uncle vs Panda | 1–4 | 20.00% |
| Drunk Uncle vs Raven | 1–4 | 20.00% |
| Drunk Uncle vs Feng | 3–1 | 75.00% |
| Drunk Uncle vs Leo | 1–3 | 25.00% |
| Drunk Uncle vs Nina | 2–2 | 50.00% |
| Drunk Uncle vs Kuma | 1–3 | 25.00% |
| Drunk Uncle vs Paul | 1–2 | 33.33% |
| Drunk Uncle vs Claudio | 2–1 | 66.67% |
| Drunk Uncle vs Shaheen | 2–1 | 66.67% |
| Drunk Uncle vs Devil Jin | 0–2 | 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.