| Mim_gogo vs Kazuya | 82–67 | 55.03% |
| Mim_gogo vs King | 77–65 | 54.23% |
| Mim_gogo vs Reina | 54–60 | 47.37% |
| Mim_gogo vs Bryan | 66–42 | 61.11% |
| Mim_gogo vs Jin | 67–39 | 63.21% |
| Mim_gogo vs Steve | 50–38 | 56.82% |
| Mim_gogo vs Hwoarang | 52–28 | 65.00% |
| Mim_gogo vs Dragunov | 35–42 | 45.45% |
| Mim_gogo vs Devil Jin | 46–30 | 60.53% |
| Mim_gogo vs Lee | 36–33 | 52.17% |
| Mim_gogo vs Lili | 38–30 | 55.88% |
| Mim_gogo vs Law | 38–29 | 56.72% |
| Mim_gogo vs Paul | 44–22 | 66.67% |
| Mim_gogo vs Heihachi | 27–39 | 40.91% |
| Mim_gogo vs Armor King | 22–33 | 40.00% |
| Mim_gogo vs Yoshimitsu | 23–29 | 44.23% |
| Mim_gogo vs Asuka | 33–19 | 63.46% |
| Mim_gogo vs Feng | 25–15 | 62.50% |
| Mim_gogo vs Azucena | 26–10 | 72.22% |
| Mim_gogo vs Victor | 9–26 | 25.71% |
| Mim_gogo vs Jun | 28–6 | 82.35% |
| Mim_gogo vs Lars | 15–17 | 46.88% |
| Mim_gogo vs Nina | 20–12 | 62.50% |
| Mim_gogo vs Leo | 13–13 | 50.00% |
| Mim_gogo vs Anna | 14–12 | 53.85% |
| Mim_gogo vs Alisa | 11–14 | 44.00% |
| Mim_gogo vs Eddy | 8–16 | 33.33% |
| Mim_gogo vs Xiaoyu | 10–10 | 50.00% |
| Mim_gogo vs Raven | 11–9 | 55.00% |
| Mim_gogo vs Clive | 12–8 | 60.00% |
| Mim_gogo vs Fahkumram | 6–12 | 33.33% |
| Mim_gogo vs Jack-8 | 4–13 | 23.53% |
| Mim_gogo vs Leroy | 8–6 | 57.14% |
| Mim_gogo vs Lidia | 6–6 | 50.00% |
| Mim_gogo vs Shaheen | 7–4 | 63.64% |
| Mim_gogo vs Kuma | 8–3 | 72.73% |
| Mim_gogo vs Claudio | 5–4 | 55.56% |
| Mim_gogo vs Zafina | 6–3 | 66.67% |
| Mim_gogo vs Miary Zo | 1–2 | 33.33% |
| Mim_gogo vs Panda | 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.