| AGGYLAS vs Jin | 138–122 | 53.08% |
| AGGYLAS vs Kazuya | 128–128 | 50.00% |
| AGGYLAS vs Dragunov | 115–136 | 45.82% |
| AGGYLAS vs Heihachi | 108–103 | 51.18% |
| AGGYLAS vs King | 76–121 | 38.58% |
| AGGYLAS vs Yoshimitsu | 110–82 | 57.29% |
| AGGYLAS vs Bryan | 109–83 | 56.77% |
| AGGYLAS vs Reina | 98–90 | 52.13% |
| AGGYLAS vs Hwoarang | 71–92 | 43.56% |
| AGGYLAS vs Lili | 87–70 | 55.41% |
| AGGYLAS vs Paul | 78–75 | 50.98% |
| AGGYLAS vs Law | 67–86 | 43.79% |
| AGGYLAS vs Steve | 74–78 | 48.68% |
| AGGYLAS vs Devil Jin | 74–70 | 51.39% |
| AGGYLAS vs Asuka | 69–60 | 53.49% |
| AGGYLAS vs Victor | 59–68 | 46.46% |
| AGGYLAS vs Lars | 46–76 | 37.70% |
| AGGYLAS vs Leo | 54–56 | 49.09% |
| AGGYLAS vs Jun | 59–44 | 57.28% |
| AGGYLAS vs Jack-8 | 38–60 | 38.78% |
| AGGYLAS vs Xiaoyu | 47–48 | 49.47% |
| AGGYLAS vs Claudio | 40–47 | 45.98% |
| AGGYLAS vs Lee | 39–47 | 45.35% |
| AGGYLAS vs Azucena | 47–33 | 58.75% |
| AGGYLAS vs Feng | 45–32 | 58.44% |
| AGGYLAS vs Alisa | 34–41 | 45.33% |
| AGGYLAS vs Nina | 25–47 | 34.72% |
| AGGYLAS vs Fahkumram | 40–29 | 57.97% |
| AGGYLAS vs Lidia | 30–37 | 44.78% |
| AGGYLAS vs Leroy | 28–33 | 45.90% |
| AGGYLAS vs Clive | 17–40 | 29.82% |
| AGGYLAS vs Shaheen | 23–28 | 45.10% |
| AGGYLAS vs Raven | 31–20 | 60.78% |
| AGGYLAS vs Zafina | 20–29 | 40.82% |
| AGGYLAS vs Eddy | 23–18 | 56.10% |
| AGGYLAS vs Kuma | 20–19 | 51.28% |
| AGGYLAS vs Anna | 6–9 | 40.00% |
| AGGYLAS vs Panda | 6–5 | 54.55% |
| AGGYLAS vs Miary Zo | 0–6 | 0.00% |
| AGGYLAS vs Armor King | 4–1 | 80.00% |
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.