| Mirapdca vs King | 70–55 | 56.00% |
| Mirapdca vs Jin | 60–46 | 56.60% |
| Mirapdca vs Kazuya | 38–41 | 48.10% |
| Mirapdca vs Lili | 35–44 | 44.30% |
| Mirapdca vs Steve | 35–41 | 46.05% |
| Mirapdca vs Bryan | 26–45 | 36.62% |
| Mirapdca vs Reina | 35–33 | 51.47% |
| Mirapdca vs Jun | 29–33 | 46.77% |
| Mirapdca vs Law | 22–36 | 37.93% |
| Mirapdca vs Heihachi | 26–29 | 47.27% |
| Mirapdca vs Yoshimitsu | 20–28 | 41.67% |
| Mirapdca vs Devil Jin | 19–21 | 47.50% |
| Mirapdca vs Dragunov | 12–27 | 30.77% |
| Mirapdca vs Azucena | 17–19 | 47.22% |
| Mirapdca vs Victor | 13–22 | 37.14% |
| Mirapdca vs Hwoarang | 17–15–1 | 53.12% |
| Mirapdca vs Lidia | 16–17 | 48.48% |
| Mirapdca vs Asuka | 18–11 | 62.07% |
| Mirapdca vs Feng | 12–17 | 41.38% |
| Mirapdca vs Paul | 10–18 | 35.71% |
| Mirapdca vs Eddy | 9–18 | 33.33% |
| Mirapdca vs Clive | 15–11 | 57.69% |
| Mirapdca vs Lars | 10–11 | 47.62% |
| Mirapdca vs Claudio | 6–15 | 28.57% |
| Mirapdca vs Xiaoyu | 10–10 | 50.00% |
| Mirapdca vs Nina | 9–11 | 45.00% |
| Mirapdca vs Kuma | 6–14 | 30.00% |
| Mirapdca vs Leo | 6–12–1 | 33.33% |
| Mirapdca vs Armor King | 3–15 | 16.67% |
| Mirapdca vs Lee | 6–11 | 35.29% |
| Mirapdca vs Jack-8 | 7–8 | 46.67% |
| Mirapdca vs Zafina | 5–8 | 38.46% |
| Mirapdca vs Alisa | 4–6 | 40.00% |
| Mirapdca vs Leroy | 5–5 | 50.00% |
| Mirapdca vs Anna | 5–4 | 55.56% |
| Mirapdca vs Miary Zo | 5–4 | 55.56% |
| Mirapdca vs Shaheen | 2–6 | 25.00% |
| Mirapdca vs Raven | 2–6 | 25.00% |
| Mirapdca vs Fahkumram | 4–2 | 66.67% |
| Mirapdca vs Panda | 3–2 | 60.00% |
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.