| Miamazon vs King | 56–38 | 59.57% |
| Miamazon vs Jin | 45–34 | 56.96% |
| Miamazon vs Law | 56–20 | 73.68% |
| Miamazon vs Kazuya | 38–35 | 52.05% |
| Miamazon vs Clive | 47–25 | 65.28% |
| Miamazon vs Bryan | 34–25 | 57.63% |
| Miamazon vs Yoshimitsu | 30–24 | 55.56% |
| Miamazon vs Steve | 26–24 | 52.00% |
| Miamazon vs Reina | 32–18 | 64.00% |
| Miamazon vs Hwoarang | 31–18 | 63.27% |
| Miamazon vs Heihachi | 30–18 | 62.50% |
| Miamazon vs Paul | 24–17 | 58.54% |
| Miamazon vs Lili | 23–17 | 57.50% |
| Miamazon vs Eddy | 29–10 | 74.36% |
| Miamazon vs Jun | 19–18 | 51.35% |
| Miamazon vs Lidia | 17–16 | 51.52% |
| Miamazon vs Nina | 15–16 | 48.39% |
| Miamazon vs Victor | 20–8 | 71.43% |
| Miamazon vs Alisa | 16–11 | 59.26% |
| Miamazon vs Xiaoyu | 16–8 | 66.67% |
| Miamazon vs Asuka | 14–10 | 58.33% |
| Miamazon vs Feng | 15–9 | 62.50% |
| Miamazon vs Jack-8 | 19–4 | 82.61% |
| Miamazon vs Leo | 19–4 | 82.61% |
| Miamazon vs Devil Jin | 15–7 | 68.18% |
| Miamazon vs Dragunov | 17–4 | 80.95% |
| Miamazon vs Azucena | 8–9 | 47.06% |
| Miamazon vs Lars | 9–7 | 56.25% |
| Miamazon vs Shaheen | 7–3 | 70.00% |
| Miamazon vs Lee | 4–6 | 40.00% |
| Miamazon vs Raven | 7–3 | 70.00% |
| Miamazon vs Claudio | 6–3 | 66.67% |
| Miamazon vs Zafina | 5–3 | 62.50% |
| Miamazon vs Kuma | 3–3 | 50.00% |
| Miamazon vs Leroy | 5–1 | 83.33% |
| Miamazon vs Fahkumram | 3–2 | 60.00% |
| Miamazon vs Panda | 1–2 | 33.33% |
| Miamazon vs Anna | 3–0 | 100.00% |
| Miamazon vs Armor King | 2–1 | 66.67% |
| Miamazon vs Miary Zo | 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.