| Alex vs Armor King | 38–47 | 44.71% |
| Alex vs Steve | 34–32–1 | 51.52% |
| Alex vs King | 24–27 | 47.06% |
| Alex vs Dragunov | 27–24 | 52.94% |
| Alex vs Kazuya | 26–24 | 52.00% |
| Alex vs Heihachi | 18–28 | 39.13% |
| Alex vs Jin | 26–19 | 57.78% |
| Alex vs Bryan | 21–21 | 50.00% |
| Alex vs Reina | 23–9 | 71.88% |
| Alex vs Lidia | 12–18 | 40.00% |
| Alex vs Miary Zo | 8–22 | 26.67% |
| Alex vs Hwoarang | 7–21 | 25.00% |
| Alex vs Law | 20–7 | 74.07% |
| Alex vs Fahkumram | 8–17 | 32.00% |
| Alex vs Victor | 9–15 | 37.50% |
| Alex vs Yoshimitsu | 15–5 | 75.00% |
| Alex vs Lars | 12–8 | 60.00% |
| Alex vs Lili | 11–6 | 64.71% |
| Alex vs Asuka | 9–7 | 56.25% |
| Alex vs Eddy | 7–9 | 43.75% |
| Alex vs Paul | 9–6 | 60.00% |
| Alex vs Jun | 10–5 | 66.67% |
| Alex vs Azucena | 10–5 | 66.67% |
| Alex vs Alisa | 6–8 | 42.86% |
| Alex vs Clive | 1–13 | 7.14% |
| Alex vs Anna | 1–13 | 7.14% |
| Alex vs Devil Jin | 8–5 | 61.54% |
| Alex vs Lee | 6–7 | 46.15% |
| Alex vs Leroy | 4–9 | 30.77% |
| Alex vs Jack-8 | 1–11 | 8.33% |
| Alex vs Feng | 6–5 | 54.55% |
| Alex vs Raven | 6–4 | 60.00% |
| Alex vs Xiaoyu | 5–3 | 62.50% |
| Alex vs Nina | 4–4 | 50.00% |
| Alex vs Kuma | 2–5 | 28.57% |
| Alex vs Leo | 4–2 | 66.67% |
| Alex vs Panda | 2–3 | 40.00% |
| Alex vs Claudio | 2–2 | 50.00% |
| Alex vs Shaheen | 2–0 | 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.