| Agilon vs Kazuya | 47–26 | 64.38% |
| Agilon vs Jin | 29–15 | 65.91% |
| Agilon vs Asuka | 26–14 | 65.00% |
| Agilon vs Bryan | 21–16 | 56.76% |
| Agilon vs Reina | 21–16 | 56.76% |
| Agilon vs Lili | 18–16 | 52.94% |
| Agilon vs Hwoarang | 20–10 | 66.67% |
| Agilon vs King | 16–11 | 59.26% |
| Agilon vs Steve | 19–5 | 79.17% |
| Agilon vs Paul | 14–9 | 60.87% |
| Agilon vs Jun | 15–8 | 65.22% |
| Agilon vs Heihachi | 20–3 | 86.96% |
| Agilon vs Devil Jin | 14–7 | 66.67% |
| Agilon vs Alisa | 12–7 | 63.16% |
| Agilon vs Yoshimitsu | 9–9 | 50.00% |
| Agilon vs Xiaoyu | 10–6 | 62.50% |
| Agilon vs Lidia | 6–10 | 37.50% |
| Agilon vs Lee | 8–6 | 57.14% |
| Agilon vs Leroy | 10–4 | 71.43% |
| Agilon vs Leo | 4–9 | 30.77% |
| Agilon vs Dragunov | 9–2 | 81.82% |
| Agilon vs Claudio | 4–7 | 36.36% |
| Agilon vs Feng | 2–7 | 22.22% |
| Agilon vs Lars | 6–3 | 66.67% |
| Agilon vs Clive | 6–2 | 75.00% |
| Agilon vs Nina | 5–2 | 71.43% |
| Agilon vs Azucena | 6–1 | 85.71% |
| Agilon vs Armor King | 4–3 | 57.14% |
| Agilon vs Victor | 3–3 | 50.00% |
| Agilon vs Law | 3–2 | 60.00% |
| Agilon vs Shaheen | 2–3 | 40.00% |
| Agilon vs Kuma | 1–4 | 20.00% |
| Agilon vs Eddy | 1–3 | 25.00% |
| Agilon vs Jack-8 | 0–3 | 0.00% |
| Agilon vs Zafina | 1–2 | 33.33% |
| Agilon vs Raven | 2–1 | 66.67% |
| Agilon vs Miary Zo | 2–1 | 66.67% |
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.