| Alyx vs Kazuya | 22–31 | 41.51% |
| Alyx vs King | 19–26 | 42.22% |
| Alyx vs Law | 17–23 | 42.50% |
| Alyx vs Reina | 13–22 | 37.14% |
| Alyx vs Bryan | 18–15 | 54.55% |
| Alyx vs Lili | 22–11 | 66.67% |
| Alyx vs Steve | 20–12 | 62.50% |
| Alyx vs Hwoarang | 15–16 | 48.39% |
| Alyx vs Dragunov | 15–15 | 50.00% |
| Alyx vs Heihachi | 15–15 | 50.00% |
| Alyx vs Clive | 16–14 | 53.33% |
| Alyx vs Devil Jin | 10–16 | 38.46% |
| Alyx vs Jin | 9–16 | 36.00% |
| Alyx vs Eddy | 11–14 | 44.00% |
| Alyx vs Yoshimitsu | 13–9 | 59.09% |
| Alyx vs Azucena | 11–11 | 50.00% |
| Alyx vs Victor | 14–8 | 63.64% |
| Alyx vs Asuka | 11–8 | 57.89% |
| Alyx vs Lars | 6–13 | 31.58% |
| Alyx vs Leo | 8–9 | 47.06% |
| Alyx vs Jun | 8–9 | 47.06% |
| Alyx vs Lee | 9–6 | 60.00% |
| Alyx vs Anna | 5–9 | 35.71% |
| Alyx vs Leroy | 6–7 | 46.15% |
| Alyx vs Armor King | 6–7 | 46.15% |
| Alyx vs Feng | 7–5 | 58.33% |
| Alyx vs Nina | 8–3 | 72.73% |
| Alyx vs Paul | 2–7 | 22.22% |
| Alyx vs Alisa | 3–6 | 33.33% |
| Alyx vs Xiaoyu | 4–4 | 50.00% |
| Alyx vs Claudio | 5–1 | 83.33% |
| Alyx vs Panda | 3–3 | 50.00% |
| Alyx vs Zafina | 2–4 | 33.33% |
| Alyx vs Lidia | 3–3 | 50.00% |
| Alyx vs Fahkumram | 5–1 | 83.33% |
| Alyx vs Jack-8 | 2–3 | 40.00% |
| Alyx vs Raven | 4–0 | 100.00% |
| Alyx vs Shaheen | 2–1 | 66.67% |
| Alyx vs Kuma | 2–1 | 66.67% |
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.