| AJBaby vs King | 23–11 | 67.65% |
| AJBaby vs Kazuya | 21–13 | 61.76% |
| AJBaby vs Eddy | 26–7 | 78.79% |
| AJBaby vs Steve | 24–3 | 88.89% |
| AJBaby vs Law | 19–6 | 76.00% |
| AJBaby vs Reina | 15–10 | 60.00% |
| AJBaby vs Xiaoyu | 11–7 | 61.11% |
| AJBaby vs Lili | 11–6 | 64.71% |
| AJBaby vs Jun | 14–3 | 82.35% |
| AJBaby vs Heihachi | 12–5 | 70.59% |
| AJBaby vs Dragunov | 15–1 | 93.75% |
| AJBaby vs Paul | 12–3 | 80.00% |
| AJBaby vs Asuka | 12–3 | 80.00% |
| AJBaby vs Feng | 9–5 | 64.29% |
| AJBaby vs Jin | 7–6 | 53.85% |
| AJBaby vs Yoshimitsu | 6–5 | 54.55% |
| AJBaby vs Leo | 9–2 | 81.82% |
| AJBaby vs Lee | 3–7 | 30.00% |
| AJBaby vs Azucena | 6–4 | 60.00% |
| AJBaby vs Devil Jin | 7–2 | 77.78% |
| AJBaby vs Lars | 7–2 | 77.78% |
| AJBaby vs Raven | 8–1 | 88.89% |
| AJBaby vs Victor | 6–2 | 75.00% |
| AJBaby vs Hwoarang | 1–6 | 14.29% |
| AJBaby vs Bryan | 7–0 | 100.00% |
| AJBaby vs Nina | 5–2 | 71.43% |
| AJBaby vs Alisa | 4–2 | 66.67% |
| AJBaby vs Leroy | 5–1 | 83.33% |
| AJBaby vs Lidia | 3–2 | 60.00% |
| AJBaby vs Claudio | 3–1 | 75.00% |
| AJBaby vs Panda | 2–0 | 100.00% |
| AJBaby vs Clive | 2–0 | 100.00% |
| AJBaby vs Fahkumram | 2–0 | 100.00% |
| AJBaby vs Armor King | 2–0 | 100.00% |
| AJBaby vs Jack-8 | 1–0 | 100.00% |
| AJBaby vs Kuma | 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.