| Aggnill vs Steve | 15–10 | 60.00% |
| Aggnill vs Lili | 2–4 | 33.33% |
| Aggnill vs Hwoarang | 3–2 | 60.00% |
| Aggnill vs Devil Jin | 1–4 | 20.00% |
| Aggnill vs Dragunov | 2–3 | 40.00% |
| Aggnill vs Reina | 1–4 | 20.00% |
| Aggnill vs Victor | 1–4 | 20.00% |
| Aggnill vs Eddy | 0–5 | 0.00% |
| Aggnill vs King | 2–2 | 50.00% |
| Aggnill vs Jin | 3–1 | 75.00% |
| Aggnill vs Asuka | 0–4 | 0.00% |
| Aggnill vs Lars | 0–4 | 0.00% |
| Aggnill vs Alisa | 0–4 | 0.00% |
| Aggnill vs Feng | 0–2 | 0.00% |
| Aggnill vs Lee | 0–2 | 0.00% |
| Aggnill vs Kuma | 0–2 | 0.00% |
| Aggnill vs Panda | 0–2 | 0.00% |
| Aggnill vs Heihachi | 2–0 | 100.00% |
| Aggnill vs Armor King | 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.