| Mimu vs Armor King | 22–25 | 46.81% |
| Mimu vs King | 14–21 | 40.00% |
| Mimu vs Bryan | 16–17 | 48.48% |
| Mimu vs Kazuya | 10–22 | 31.25% |
| Mimu vs Steve | 11–18 | 37.93% |
| Mimu vs Yoshimitsu | 14–13 | 51.85% |
| Mimu vs Lidia | 13–14 | 48.15% |
| Mimu vs Reina | 16–10 | 61.54% |
| Mimu vs Azucena | 13–13 | 50.00% |
| Mimu vs Dragunov | 11–14 | 44.00% |
| Mimu vs Lee | 16–8 | 66.67% |
| Mimu vs Law | 13–10 | 56.52% |
| Mimu vs Hwoarang | 6–16–1 | 27.27% |
| Mimu vs Heihachi | 13–10 | 56.52% |
| Mimu vs Miary Zo | 11–8 | 57.89% |
| Mimu vs Jin | 7–11 | 38.89% |
| Mimu vs Jun | 6–12 | 33.33% |
| Mimu vs Fahkumram | 9–9 | 50.00% |
| Mimu vs Devil Jin | 9–8 | 52.94% |
| Mimu vs Lars | 9–8 | 52.94% |
| Mimu vs Leroy | 8–9 | 47.06% |
| Mimu vs Asuka | 7–7 | 50.00% |
| Mimu vs Eddy | 4–9 | 30.77% |
| Mimu vs Paul | 7–5 | 58.33% |
| Mimu vs Lili | 5–7 | 41.67% |
| Mimu vs Alisa | 2–10 | 16.67% |
| Mimu vs Leo | 7–4 | 63.64% |
| Mimu vs Xiaoyu | 6–4 | 60.00% |
| Mimu vs Nina | 7–3 | 70.00% |
| Mimu vs Feng | 6–2 | 75.00% |
| Mimu vs Raven | 4–4 | 50.00% |
| Mimu vs Shaheen | 3–4 | 42.86% |
| Mimu vs Kuma | 3–2 | 60.00% |
| Mimu vs Clive | 1–4 | 20.00% |
| Mimu vs Anna | 1–4 | 20.00% |
| Mimu vs Claudio | 2–2 | 50.00% |
| Mimu vs Jack-8 | 2–1 | 66.67% |
| Mimu vs Victor | 1–2 | 33.33% |
| Mimu vs Zafina | 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.