| AlyDaGrey vs Lidia | 19–19 | 50.00% |
| AlyDaGrey vs Clive | 12–26 | 31.58% |
| AlyDaGrey vs Steve | 21–13 | 61.76% |
| AlyDaGrey vs King | 14–16 | 46.67% |
| AlyDaGrey vs Victor | 11–13 | 45.83% |
| AlyDaGrey vs Reina | 7–15 | 31.82% |
| AlyDaGrey vs Law | 13–8 | 61.90% |
| AlyDaGrey vs Yoshimitsu | 12–6 | 66.67% |
| AlyDaGrey vs Jin | 7–11 | 38.89% |
| AlyDaGrey vs Dragunov | 11–7 | 61.11% |
| AlyDaGrey vs Armor King | 13–5 | 72.22% |
| AlyDaGrey vs Devil Jin | 6–8 | 42.86% |
| AlyDaGrey vs Asuka | 5–8 | 38.46% |
| AlyDaGrey vs Hwoarang | 6–6 | 50.00% |
| AlyDaGrey vs Leroy | 10–2 | 83.33% |
| AlyDaGrey vs Kazuya | 7–4 | 63.64% |
| AlyDaGrey vs Nina | 3–8 | 27.27% |
| AlyDaGrey vs Kuma | 4–7 | 36.36% |
| AlyDaGrey vs Xiaoyu | 5–5 | 50.00% |
| AlyDaGrey vs Lili | 4–6 | 40.00% |
| AlyDaGrey vs Lee | 4–6 | 40.00% |
| AlyDaGrey vs Jun | 3–7 | 30.00% |
| AlyDaGrey vs Eddy | 5–5 | 50.00% |
| AlyDaGrey vs Heihachi | 6–4 | 60.00% |
| AlyDaGrey vs Miary Zo | 7–3 | 70.00% |
| AlyDaGrey vs Lars | 4–4 | 50.00% |
| AlyDaGrey vs Azucena | 3–5 | 37.50% |
| AlyDaGrey vs Paul | 0–6 | 0.00% |
| AlyDaGrey vs Leo | 1–5 | 16.67% |
| AlyDaGrey vs Alisa | 1–5 | 16.67% |
| AlyDaGrey vs Zafina | 5–1 | 83.33% |
| AlyDaGrey vs Fahkumram | 2–4 | 33.33% |
| AlyDaGrey vs Feng | 4–1 | 80.00% |
| AlyDaGrey vs Bryan | 1–3 | 25.00% |
| AlyDaGrey vs Jack-8 | 0–4 | 0.00% |
| AlyDaGrey vs Panda | 2–2 | 50.00% |
| AlyDaGrey vs Anna | 2–2 | 50.00% |
| AlyDaGrey vs Raven | 1–2 | 33.33% |
| AlyDaGrey vs Claudio | 2–0 | 100.00% |
| AlyDaGrey vs Shaheen | 0–1 | 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.