| MimicG vs Jin | 34–23 | 59.65% |
| MimicG vs King | 18–17 | 51.43% |
| MimicG vs Kazuya | 16–14 | 53.33% |
| MimicG vs Steve | 20–10 | 66.67% |
| MimicG vs Bryan | 15–13 | 53.57% |
| MimicG vs Lili | 22–6 | 78.57% |
| MimicG vs Dragunov | 15–13 | 53.57% |
| MimicG vs Reina | 17–8 | 68.00% |
| MimicG vs Fahkumram | 7–13 | 35.00% |
| MimicG vs Victor | 9–10 | 47.37% |
| MimicG vs Paul | 8–10 | 44.44% |
| MimicG vs Law | 10–8 | 55.56% |
| MimicG vs Yoshimitsu | 5–11 | 31.25% |
| MimicG vs Xiaoyu | 5–10 | 33.33% |
| MimicG vs Leo | 10–5 | 66.67% |
| MimicG vs Devil Jin | 10–4 | 71.43% |
| MimicG vs Jun | 8–5 | 61.54% |
| MimicG vs Asuka | 9–3 | 75.00% |
| MimicG vs Armor King | 4–8 | 33.33% |
| MimicG vs Hwoarang | 8–3 | 72.73% |
| MimicG vs Lee | 6–5 | 54.55% |
| MimicG vs Jack-8 | 6–4 | 60.00% |
| MimicG vs Azucena | 4–6 | 40.00% |
| MimicG vs Eddy | 4–6 | 40.00% |
| MimicG vs Clive | 6–4 | 60.00% |
| MimicG vs Anna | 3–7 | 30.00% |
| MimicG vs Claudio | 7–2 | 77.78% |
| MimicG vs Lars | 2–6 | 25.00% |
| MimicG vs Kuma | 5–2 | 71.43% |
| MimicG vs Zafina | 3–4 | 42.86% |
| MimicG vs Feng | 2–3–1 | 40.00% |
| MimicG vs Nina | 4–1 | 80.00% |
| MimicG vs Panda | 4–1 | 80.00% |
| MimicG vs Alisa | 4–0 | 100.00% |
| MimicG vs Shaheen | 0–4 | 0.00% |
| MimicG vs Heihachi | 0–4 | 0.00% |
| MimicG vs Leroy | 2–1 | 66.67% |
| MimicG vs Raven | 1–2 | 33.33% |
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.