| Agonz16 vs Jin | 22–21 | 51.16% |
| Agonz16 vs Jun | 18–18 | 50.00% |
| Agonz16 vs Armor King | 13–21 | 38.24% |
| Agonz16 vs King | 15–15 | 50.00% |
| Agonz16 vs Hwoarang | 16–11 | 59.26% |
| Agonz16 vs Kazuya | 15–12 | 55.56% |
| Agonz16 vs Azucena | 11–16 | 40.74% |
| Agonz16 vs Dragunov | 16–6 | 72.73% |
| Agonz16 vs Reina | 18–3 | 85.71% |
| Agonz16 vs Lee | 10–6 | 62.50% |
| Agonz16 vs Paul | 5–10 | 33.33% |
| Agonz16 vs Asuka | 6–9 | 40.00% |
| Agonz16 vs Devil Jin | 6–7 | 46.15% |
| Agonz16 vs Claudio | 6–6 | 50.00% |
| Agonz16 vs Lili | 3–8 | 27.27% |
| Agonz16 vs Alisa | 6–4 | 60.00% |
| Agonz16 vs Leo | 1–8 | 11.11% |
| Agonz16 vs Lars | 3–6 | 33.33% |
| Agonz16 vs Bryan | 4–4 | 50.00% |
| Agonz16 vs Steve | 5–3 | 62.50% |
| Agonz16 vs Raven | 4–4 | 50.00% |
| Agonz16 vs Feng | 6–1 | 85.71% |
| Agonz16 vs Nina | 4–3 | 57.14% |
| Agonz16 vs Law | 2–4 | 33.33% |
| Agonz16 vs Yoshimitsu | 5–1 | 83.33% |
| Agonz16 vs Xiaoyu | 2–4 | 33.33% |
| Agonz16 vs Miary Zo | 4–2 | 66.67% |
| Agonz16 vs Heihachi | 2–3 | 40.00% |
| Agonz16 vs Kuma | 2–2 | 50.00% |
| Agonz16 vs Victor | 3–1 | 75.00% |
| Agonz16 vs Jack-8 | 3–0 | 100.00% |
| Agonz16 vs Shaheen | 0–3 | 0.00% |
| Agonz16 vs Lidia | 2–1 | 66.67% |
| Agonz16 vs Leroy | 0–2 | 0.00% |
| Agonz16 vs Eddy | 0–2 | 0.00% |
| Agonz16 vs Anna | 1–1 | 50.00% |
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.