| Mizzle vs Jin | 11–22 | 33.33% |
| Mizzle vs Armor King | 16–13 | 55.17% |
| Mizzle vs Miary Zo | 13–14 | 48.15% |
| Mizzle vs Steve | 15–9 | 62.50% |
| Mizzle vs Law | 14–8 | 63.64% |
| Mizzle vs King | 10–12 | 45.45% |
| Mizzle vs Hwoarang | 10–12 | 45.45% |
| Mizzle vs Lee | 5–17 | 22.73% |
| Mizzle vs Reina | 5–10 | 33.33% |
| Mizzle vs Kazuya | 2–9 | 18.18% |
| Mizzle vs Asuka | 2–9 | 18.18% |
| Mizzle vs Jun | 2–9 | 18.18% |
| Mizzle vs Paul | 9–1 | 90.00% |
| Mizzle vs Dragunov | 2–8 | 20.00% |
| Mizzle vs Leroy | 6–4 | 60.00% |
| Mizzle vs Azucena | 4–6 | 40.00% |
| Mizzle vs Eddy | 5–5 | 50.00% |
| Mizzle vs Fahkumram | 5–5 | 50.00% |
| Mizzle vs Lars | 3–6 | 33.33% |
| Mizzle vs Shaheen | 2–7 | 22.22% |
| Mizzle vs Bryan | 4–4 | 50.00% |
| Mizzle vs Alisa | 3–5 | 37.50% |
| Mizzle vs Nina | 2–6 | 25.00% |
| Mizzle vs Heihachi | 4–3 | 57.14% |
| Mizzle vs Yoshimitsu | 2–3 | 40.00% |
| Mizzle vs Lidia | 2–3 | 40.00% |
| Mizzle vs Leo | 2–1 | 66.67% |
| Mizzle vs Kuma | 3–0 | 100.00% |
| Mizzle vs Victor | 2–1 | 66.67% |
| Mizzle vs Raven | 0–3 | 0.00% |
| Mizzle vs Clive | 0–2 | 0.00% |
| Mizzle vs Xiaoyu | 1–0 | 100.00% |
| Mizzle vs Jack-8 | 1–0 | 100.00% |
| Mizzle vs Devil Jin | 0–1 | 0.00% |
| Mizzle vs Feng | 0–1 | 0.00% |
| Mizzle vs Lili | 0–1 | 0.00% |
| Mizzle vs Anna | 1–0 | 100.00% |
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.