| AMAN AJA vs Jin | 85–81 | 51.20% |
| AMAN AJA vs Kazuya | 66–82 | 44.59% |
| AMAN AJA vs Bryan | 65–72 | 47.45% |
| AMAN AJA vs Dragunov | 55–69 | 44.35% |
| AMAN AJA vs Reina | 58–59 | 49.57% |
| AMAN AJA vs King | 58–51 | 53.21% |
| AMAN AJA vs Hwoarang | 38–45 | 45.78% |
| AMAN AJA vs Lili | 18–62 | 22.50% |
| AMAN AJA vs Yoshimitsu | 35–42 | 45.45% |
| AMAN AJA vs Victor | 38–34 | 52.78% |
| AMAN AJA vs Heihachi | 32–37 | 46.38% |
| AMAN AJA vs Steve | 28–35 | 44.44% |
| AMAN AJA vs Lars | 27–35 | 43.55% |
| AMAN AJA vs Law | 22–34 | 39.29% |
| AMAN AJA vs Paul | 26–25 | 50.98% |
| AMAN AJA vs Lee | 30–21 | 58.82% |
| AMAN AJA vs Jun | 15–30 | 33.33% |
| AMAN AJA vs Lidia | 16–29 | 35.56% |
| AMAN AJA vs Nina | 19–25 | 43.18% |
| AMAN AJA vs Armor King | 23–17 | 57.50% |
| AMAN AJA vs Eddy | 21–17 | 55.26% |
| AMAN AJA vs Xiaoyu | 16–18 | 47.06% |
| AMAN AJA vs Asuka | 15–19 | 44.12% |
| AMAN AJA vs Claudio | 15–19 | 44.12% |
| AMAN AJA vs Azucena | 19–15 | 55.88% |
| AMAN AJA vs Devil Jin | 18–14 | 56.25% |
| AMAN AJA vs Leo | 15–15 | 50.00% |
| AMAN AJA vs Feng | 10–17 | 37.04% |
| AMAN AJA vs Alisa | 9–18 | 33.33% |
| AMAN AJA vs Jack-8 | 9–12 | 42.86% |
| AMAN AJA vs Fahkumram | 8–12 | 40.00% |
| AMAN AJA vs Shaheen | 10–8 | 55.56% |
| AMAN AJA vs Clive | 4–12 | 25.00% |
| AMAN AJA vs Leroy | 3–11 | 21.43% |
| AMAN AJA vs Kuma | 2–8 | 20.00% |
| AMAN AJA vs Raven | 4–6 | 40.00% |
| AMAN AJA vs Anna | 5–5 | 50.00% |
| AMAN AJA vs Miary Zo | 5–5 | 50.00% |
| AMAN AJA vs Zafina | 2–5 | 28.57% |
| AMAN AJA 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.