| Mimmy vs King | 17–41 | 29.31% |
| Mimmy vs Kazuya | 12–34 | 26.09% |
| Mimmy vs Jin | 12–25 | 32.43% |
| Mimmy vs Reina | 15–21 | 41.67% |
| Mimmy vs Steve | 11–21 | 34.38% |
| Mimmy vs Law | 15–15 | 50.00% |
| Mimmy vs Eddy | 4–21 | 16.00% |
| Mimmy vs Hwoarang | 11–13 | 45.83% |
| Mimmy vs Azucena | 10–14 | 41.67% |
| Mimmy vs Miary Zo | 12–12 | 50.00% |
| Mimmy vs Lili | 12–10 | 54.55% |
| Mimmy vs Yoshimitsu | 6–14 | 30.00% |
| Mimmy vs Dragunov | 6–10 | 37.50% |
| Mimmy vs Zafina | 6–10 | 37.50% |
| Mimmy vs Jun | 6–10 | 37.50% |
| Mimmy vs Heihachi | 6–9 | 40.00% |
| Mimmy vs Paul | 8–5 | 61.54% |
| Mimmy vs Bryan | 5–8 | 38.46% |
| Mimmy vs Armor King | 6–7 | 46.15% |
| Mimmy vs Lee | 4–8 | 33.33% |
| Mimmy vs Asuka | 7–4 | 63.64% |
| Mimmy vs Nina | 2–9 | 18.18% |
| Mimmy vs Raven | 2–7 | 22.22% |
| Mimmy vs Devil Jin | 4–4 | 50.00% |
| Mimmy vs Lars | 0–7 | 0.00% |
| Mimmy vs Fahkumram | 2–5 | 28.57% |
| Mimmy vs Alisa | 2–4 | 33.33% |
| Mimmy vs Victor | 2–4 | 33.33% |
| Mimmy vs Clive | 0–6 | 0.00% |
| Mimmy vs Kuma | 1–4 | 20.00% |
| Mimmy vs Xiaoyu | 1–3 | 25.00% |
| Mimmy vs Feng | 0–4 | 0.00% |
| Mimmy vs Claudio | 0–4 | 0.00% |
| Mimmy vs Lidia | 2–2 | 50.00% |
| Mimmy vs Jack-8 | 1–2 | 33.33% |
| Mimmy vs Shaheen | 2–1 | 66.67% |
| Mimmy vs Anna | 2–0 | 100.00% |
| Mimmy vs Panda | 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.