| AlphaXen vs King | 61–50 | 54.95% |
| AlphaXen vs Jin | 42–51 | 45.16% |
| AlphaXen vs Kazuya | 53–38 | 58.24% |
| AlphaXen vs Reina | 27–40 | 40.30% |
| AlphaXen vs Law | 30–33 | 47.62% |
| AlphaXen vs Hwoarang | 21–37 | 36.21% |
| AlphaXen vs Steve | 30–28 | 51.72% |
| AlphaXen vs Lili | 22–35 | 38.60% |
| AlphaXen vs Bryan | 31–23 | 57.41% |
| AlphaXen vs Jun | 26–28 | 48.15% |
| AlphaXen vs Paul | 20–31 | 39.22% |
| AlphaXen vs Eddy | 28–23 | 54.90% |
| AlphaXen vs Asuka | 27–23 | 54.00% |
| AlphaXen vs Dragunov | 23–25 | 47.92% |
| AlphaXen vs Lee | 29–19 | 60.42% |
| AlphaXen vs Azucena | 24–24 | 50.00% |
| AlphaXen vs Yoshimitsu | 19–25 | 43.18% |
| AlphaXen vs Xiaoyu | 25–19 | 56.82% |
| AlphaXen vs Lars | 16–25 | 39.02% |
| AlphaXen vs Victor | 20–17 | 54.05% |
| AlphaXen vs Armor King | 16–18 | 47.06% |
| AlphaXen vs Nina | 17–15 | 53.12% |
| AlphaXen vs Heihachi | 16–14 | 53.33% |
| AlphaXen vs Devil Jin | 12–14 | 46.15% |
| AlphaXen vs Kuma | 10–14 | 41.67% |
| AlphaXen vs Fahkumram | 12–12 | 50.00% |
| AlphaXen vs Claudio | 13–10 | 56.52% |
| AlphaXen vs Feng | 9–13 | 40.91% |
| AlphaXen vs Alisa | 8–14 | 36.36% |
| AlphaXen vs Lidia | 9–12 | 42.86% |
| AlphaXen vs Miary Zo | 6–11 | 35.29% |
| AlphaXen vs Raven | 7–9 | 43.75% |
| AlphaXen vs Jack-8 | 5–10 | 33.33% |
| AlphaXen vs Leroy | 6–7 | 46.15% |
| AlphaXen vs Anna | 5–5 | 50.00% |
| AlphaXen vs Leo | 5–4 | 55.56% |
| AlphaXen vs Shaheen | 7–1 | 87.50% |
| AlphaXen vs Zafina | 6–2 | 75.00% |
| AlphaXen vs Clive | 4–4 | 50.00% |
| AlphaXen vs Panda | 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.