| drunk vs Jin | 20–13 | 60.61% |
| drunk vs King | 21–11 | 65.62% |
| drunk vs Kazuya | 22–8 | 73.33% |
| drunk vs Steve | 21–8 | 72.41% |
| drunk vs Reina | 19–9 | 67.86% |
| drunk vs Law | 15–10 | 60.00% |
| drunk vs Heihachi | 20–5 | 80.00% |
| drunk vs Miary Zo | 15–8 | 65.22% |
| drunk vs Yoshimitsu | 14–2 | 87.50% |
| drunk vs Lee | 11–5 | 68.75% |
| drunk vs Dragunov | 10–5 | 66.67% |
| drunk vs Azucena | 12–3 | 80.00% |
| drunk vs Lili | 10–3 | 76.92% |
| drunk vs Paul | 8–3 | 72.73% |
| drunk vs Bryan | 9–2 | 81.82% |
| drunk vs Eddy | 9–2 | 81.82% |
| drunk vs Asuka | 7–3 | 70.00% |
| drunk vs Leroy | 6–4 | 60.00% |
| drunk vs Jun | 6–4 | 60.00% |
| drunk vs Hwoarang | 4–5 | 44.44% |
| drunk vs Alisa | 5–4 | 55.56% |
| drunk vs Victor | 5–4 | 55.56% |
| drunk vs Armor King | 7–2 | 77.78% |
| drunk vs Raven | 6–2 | 75.00% |
| drunk vs Lidia | 7–1 | 87.50% |
| drunk vs Devil Jin | 3–4 | 42.86% |
| drunk vs Anna | 6–1 | 85.71% |
| drunk vs Jack-8 | 5–1 | 83.33% |
| drunk vs Leo | 2–3 | 40.00% |
| drunk vs Nina | 3–2 | 60.00% |
| drunk vs Fahkumram | 4–1 | 80.00% |
| drunk vs Xiaoyu | 2–2 | 50.00% |
| drunk vs Lars | 4–0 | 100.00% |
| drunk vs Kuma | 4–0 | 100.00% |
| drunk vs Clive | 3–0 | 100.00% |
| drunk vs Feng | 1–1 | 50.00% |
| drunk vs Claudio | 2–0 | 100.00% |
| drunk vs Zafina | 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.