| ARAN-MIRA vs Jin | 60–84 | 41.67% |
| ARAN-MIRA vs Kazuya | 51–66 | 43.59% |
| ARAN-MIRA vs King | 47–56 | 45.63% |
| ARAN-MIRA vs Hwoarang | 45–45 | 50.00% |
| ARAN-MIRA vs Steve | 37–42 | 46.84% |
| ARAN-MIRA vs Law | 24–46 | 34.29% |
| ARAN-MIRA vs Eddy | 27–41 | 39.71% |
| ARAN-MIRA vs Dragunov | 34–31 | 52.31% |
| ARAN-MIRA vs Reina | 33–29 | 53.23% |
| ARAN-MIRA vs Jun | 24–33 | 42.11% |
| ARAN-MIRA vs Lili | 25–25 | 50.00% |
| ARAN-MIRA vs Yoshimitsu | 20–26 | 43.48% |
| ARAN-MIRA vs Bryan | 22–24 | 47.83% |
| ARAN-MIRA vs Azucena | 26–19 | 57.78% |
| ARAN-MIRA vs Asuka | 16–27 | 37.21% |
| ARAN-MIRA vs Nina | 27–15 | 64.29% |
| ARAN-MIRA vs Devil Jin | 13–23–1 | 36.11% |
| ARAN-MIRA vs Feng | 13–23 | 36.11% |
| ARAN-MIRA vs Lee | 10–24 | 29.41% |
| ARAN-MIRA vs Alisa | 16–16 | 50.00% |
| ARAN-MIRA vs Xiaoyu | 12–18 | 40.00% |
| ARAN-MIRA vs Lars | 17–13 | 56.67% |
| ARAN-MIRA vs Paul | 13–16 | 44.83% |
| ARAN-MIRA vs Lidia | 12–11 | 52.17% |
| ARAN-MIRA vs Victor | 9–13 | 40.91% |
| ARAN-MIRA vs Heihachi | 7–15 | 31.82% |
| ARAN-MIRA vs Jack-8 | 10–10 | 50.00% |
| ARAN-MIRA vs Leo | 8–11 | 42.11% |
| ARAN-MIRA vs Claudio | 10–6 | 62.50% |
| ARAN-MIRA vs Kuma | 5–11 | 31.25% |
| ARAN-MIRA vs Zafina | 9–7 | 56.25% |
| ARAN-MIRA vs Raven | 4–11 | 26.67% |
| ARAN-MIRA vs Clive | 7–7 | 50.00% |
| ARAN-MIRA vs Fahkumram | 7–6 | 53.85% |
| ARAN-MIRA vs Leroy | 7–5 | 58.33% |
| ARAN-MIRA vs Armor King | 5–4 | 55.56% |
| ARAN-MIRA vs Anna | 6–2 | 75.00% |
| ARAN-MIRA vs Shaheen | 3–3 | 50.00% |
| ARAN-MIRA vs Miary Zo | 3–3 | 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.