| Alpfa vs Hwoarang | 16–33 | 32.65% |
| Alpfa vs King | 19–27 | 41.30% |
| Alpfa vs Bryan | 21–23 | 47.73% |
| Alpfa vs Kazuya | 10–26 | 27.78% |
| Alpfa vs Jin | 12–18 | 40.00% |
| Alpfa vs Yoshimitsu | 15–10 | 60.00% |
| Alpfa vs Law | 8–12 | 40.00% |
| Alpfa vs Steve | 10–9 | 52.63% |
| Alpfa vs Dragunov | 5–12 | 29.41% |
| Alpfa vs Reina | 9–8 | 52.94% |
| Alpfa vs Azucena | 7–10 | 41.18% |
| Alpfa vs Heihachi | 4–11 | 26.67% |
| Alpfa vs Anna | 8–7 | 53.33% |
| Alpfa vs Asuka | 8–6 | 57.14% |
| Alpfa vs Nina | 1–13 | 7.14% |
| Alpfa vs Eddy | 3–11 | 21.43% |
| Alpfa vs Lili | 4–9 | 30.77% |
| Alpfa vs Jun | 3–10 | 23.08% |
| Alpfa vs Lars | 2–9 | 18.18% |
| Alpfa vs Paul | 6–4 | 60.00% |
| Alpfa vs Xiaoyu | 4–6 | 40.00% |
| Alpfa vs Devil Jin | 5–5 | 50.00% |
| Alpfa vs Alisa | 1–9 | 10.00% |
| Alpfa vs Jack-8 | 5–4 | 55.56% |
| Alpfa vs Feng | 2–7 | 22.22% |
| Alpfa vs Clive | 2–7 | 22.22% |
| Alpfa vs Leroy | 5–3 | 62.50% |
| Alpfa vs Lidia | 1–6 | 14.29% |
| Alpfa vs Victor | 2–4 | 33.33% |
| Alpfa vs Leo | 3–1 | 75.00% |
| Alpfa vs Panda | 0–4 | 0.00% |
| Alpfa vs Lee | 2–1 | 66.67% |
| Alpfa vs Zafina | 3–0 | 100.00% |
| Alpfa vs Fahkumram | 1–2 | 33.33% |
| Alpfa vs Claudio | 0–2 | 0.00% |
| Alpfa vs Armor King | 2–0 | 100.00% |
| Alpfa vs Miary Zo | 2–0 | 100.00% |
| Alpfa vs Shaheen | 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.