| Aglimagli vs Kazuya | 149–87 | 63.14% |
| Aglimagli vs Reina | 99–115 | 46.26% |
| Aglimagli vs Bryan | 125–88 | 58.69% |
| Aglimagli vs King | 112–94 | 54.37% |
| Aglimagli vs Jin | 96–102 | 48.48% |
| Aglimagli vs Steve | 103–86 | 54.50% |
| Aglimagli vs Hwoarang | 87–99 | 46.77% |
| Aglimagli vs Law | 81–85 | 48.80% |
| Aglimagli vs Lee | 86–68 | 55.84% |
| Aglimagli vs Nina | 77–66 | 53.85% |
| Aglimagli vs Paul | 90–51 | 63.83% |
| Aglimagli vs Asuka | 67–71 | 48.55% |
| Aglimagli vs Dragunov | 75–55 | 57.69% |
| Aglimagli vs Armor King | 62–66 | 48.44% |
| Aglimagli vs Yoshimitsu | 63–62 | 50.40% |
| Aglimagli vs Lars | 55–64 | 46.22% |
| Aglimagli vs Xiaoyu | 57–61 | 48.31% |
| Aglimagli vs Devil Jin | 58–58 | 50.00% |
| Aglimagli vs Heihachi | 58–47 | 55.24% |
| Aglimagli vs Azucena | 38–65 | 36.89% |
| Aglimagli vs Raven | 32–65 | 32.99% |
| Aglimagli vs Lili | 39–55 | 41.49% |
| Aglimagli vs Jun | 39–50 | 43.82% |
| Aglimagli vs Leo | 48–37 | 56.47% |
| Aglimagli vs Lidia | 39–39 | 50.00% |
| Aglimagli vs Victor | 29–45 | 39.19% |
| Aglimagli vs Feng | 39–33 | 54.17% |
| Aglimagli vs Jack-8 | 33–36 | 47.83% |
| Aglimagli vs Alisa | 29–39 | 42.65% |
| Aglimagli vs Claudio | 33–28 | 54.10% |
| Aglimagli vs Clive | 25–36 | 40.98% |
| Aglimagli vs Shaheen | 28–31 | 47.46% |
| Aglimagli vs Kuma | 21–28 | 42.86% |
| Aglimagli vs Leroy | 20–27 | 42.55% |
| Aglimagli vs Eddy | 19–27 | 41.30% |
| Aglimagli vs Fahkumram | 20–20 | 50.00% |
| Aglimagli vs Zafina | 14–20 | 41.18% |
| Aglimagli vs Anna | 11–17 | 39.29% |
| Aglimagli vs Panda | 2–3 | 40.00% |
| Aglimagli vs Miary Zo | 2–3 | 40.00% |
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.