| Al__ca vs Reina | 35–28 | 55.56% |
| Al__ca vs Paul | 11–45 | 19.64% |
| Al__ca vs Dragunov | 21–30 | 41.18% |
| Al__ca vs Hwoarang | 21–28 | 42.86% |
| Al__ca vs Jin | 14–34 | 29.17% |
| Al__ca vs Kazuya | 23–23 | 50.00% |
| Al__ca vs Bryan | 16–19 | 45.71% |
| Al__ca vs Lili | 8–25 | 24.24% |
| Al__ca vs King | 8–23 | 25.81% |
| Al__ca vs Yoshimitsu | 8–23 | 25.81% |
| Al__ca vs Devil Jin | 14–15 | 48.28% |
| Al__ca vs Asuka | 12–13 | 48.00% |
| Al__ca vs Steve | 8–15 | 34.78% |
| Al__ca vs Clive | 9–14 | 39.13% |
| Al__ca vs Victor | 11–10 | 52.38% |
| Al__ca vs Claudio | 6–13 | 31.58% |
| Al__ca vs Nina | 5–14 | 26.32% |
| Al__ca vs Eddy | 5–13 | 27.78% |
| Al__ca vs Xiaoyu | 7–10 | 41.18% |
| Al__ca vs Leo | 6–10 | 37.50% |
| Al__ca vs Alisa | 11–5 | 68.75% |
| Al__ca vs Law | 8–7 | 53.33% |
| Al__ca vs Jack-8 | 4–11 | 26.67% |
| Al__ca vs Jun | 3–11 | 21.43% |
| Al__ca vs Azucena | 1–13 | 7.14% |
| Al__ca vs Feng | 3–9 | 25.00% |
| Al__ca vs Lars | 8–3 | 72.73% |
| Al__ca vs Lee | 5–6 | 45.45% |
| Al__ca vs Leroy | 1–6 | 14.29% |
| Al__ca vs Shaheen | 0–6 | 0.00% |
| Al__ca vs Heihachi | 2–4 | 33.33% |
| Al__ca vs Panda | 0–5 | 0.00% |
| Al__ca vs Kuma | 1–3 | 25.00% |
| Al__ca vs Raven | 1–2 | 33.33% |
| Al__ca vs Lidia | 1–2 | 33.33% |
| Al__ca vs Zafina | 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.