| Aghast vs Kazuya | 203–145 | 58.33% |
| Aghast vs Jin | 143–104 | 57.89% |
| Aghast vs Bryan | 129–114 | 53.09% |
| Aghast vs King | 108–104 | 50.94% |
| Aghast vs Heihachi | 109–85 | 56.19% |
| Aghast vs Reina | 124–68 | 64.58% |
| Aghast vs Hwoarang | 95–62 | 60.51% |
| Aghast vs Lili | 74–68 | 52.11% |
| Aghast vs Dragunov | 70–63 | 52.63% |
| Aghast vs Paul | 59–70 | 45.74% |
| Aghast vs Steve | 73–49 | 59.84% |
| Aghast vs Lee | 70–51 | 57.85% |
| Aghast vs Devil Jin | 51–52 | 49.51% |
| Aghast vs Yoshimitsu | 53–39 | 57.61% |
| Aghast vs Asuka | 43–43 | 50.00% |
| Aghast vs Azucena | 45–38 | 54.22% |
| Aghast vs Law | 37–40 | 48.05% |
| Aghast vs Nina | 47–27 | 63.51% |
| Aghast vs Clive | 47–25 | 65.28% |
| Aghast vs Lidia | 37–32 | 53.62% |
| Aghast vs Jun | 25–43 | 36.76% |
| Aghast vs Feng | 34–23 | 59.65% |
| Aghast vs Claudio | 34–22 | 60.71% |
| Aghast vs Lars | 24–24 | 50.00% |
| Aghast vs Leroy | 26–22 | 54.17% |
| Aghast vs Victor | 29–17 | 63.04% |
| Aghast vs Anna | 32–11 | 74.42% |
| Aghast vs Alisa | 18–24 | 42.86% |
| Aghast vs Xiaoyu | 21–18 | 53.85% |
| Aghast vs Leo | 17–22 | 43.59% |
| Aghast vs Jack-8 | 21–16 | 56.76% |
| Aghast vs Eddy | 13–16 | 44.83% |
| Aghast vs Fahkumram | 15–11 | 57.69% |
| Aghast vs Raven | 14–11 | 56.00% |
| Aghast vs Zafina | 10–13 | 43.48% |
| Aghast vs Armor King | 16–6 | 72.73% |
| Aghast vs Kuma | 12–7 | 63.16% |
| Aghast vs Miary Zo | 10–7 | 58.82% |
| Aghast vs Shaheen | 9–7 | 56.25% |
| Aghast vs Panda | 3–4 | 42.86% |
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.