| Alcreon vs Kazuya | 28–14 | 66.67% |
| Alcreon vs Reina | 21–12 | 63.64% |
| Alcreon vs King | 11–18 | 37.93% |
| Alcreon vs Victor | 16–13 | 55.17% |
| Alcreon vs Heihachi | 13–13 | 50.00% |
| Alcreon vs Dragunov | 10–10 | 50.00% |
| Alcreon vs Jin | 6–13 | 31.58% |
| Alcreon vs Lili | 11–8 | 57.89% |
| Alcreon vs Lars | 9–10 | 47.37% |
| Alcreon vs Law | 13–5 | 72.22% |
| Alcreon vs Asuka | 9–8 | 52.94% |
| Alcreon vs Paul | 8–8 | 50.00% |
| Alcreon vs Claudio | 7–8 | 46.67% |
| Alcreon vs Bryan | 4–10 | 28.57% |
| Alcreon vs Lidia | 8–5 | 61.54% |
| Alcreon vs Hwoarang | 10–2 | 83.33% |
| Alcreon vs Eddy | 5–7 | 41.67% |
| Alcreon vs Steve | 8–2 | 80.00% |
| Alcreon vs Devil Jin | 3–6 | 33.33% |
| Alcreon vs Nina | 6–3 | 66.67% |
| Alcreon vs Yoshimitsu | 5–3 | 62.50% |
| Alcreon vs Xiaoyu | 4–4 | 50.00% |
| Alcreon vs Leo | 4–3 | 57.14% |
| Alcreon vs Leroy | 4–3 | 57.14% |
| Alcreon vs Jack-8 | 3–3 | 50.00% |
| Alcreon vs Alisa | 1–5 | 16.67% |
| Alcreon vs Jun | 2–3 | 40.00% |
| Alcreon vs Azucena | 4–1 | 80.00% |
| Alcreon vs Clive | 2–3 | 40.00% |
| Alcreon vs Lee | 2–2 | 50.00% |
| Alcreon vs Kuma | 4–0 | 100.00% |
| Alcreon vs Feng | 0–3 | 0.00% |
| Alcreon vs Armor King | 1–2 | 33.33% |
| Alcreon vs Zafina | 1–1 | 50.00% |
| Alcreon vs Raven | 0–2 | 0.00% |
| Alcreon vs Fahkumram | 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.