| _MiR vs King | 16–25 | 39.02% |
| _MiR vs Reina | 17–24 | 41.46% |
| _MiR vs Jin | 13–26 | 33.33% |
| _MiR vs Law | 9–29 | 23.68% |
| _MiR vs Hwoarang | 15–19 | 44.12% |
| _MiR vs Steve | 10–22 | 31.25% |
| _MiR vs Heihachi | 14–16 | 46.67% |
| _MiR vs Nina | 7–21 | 25.00% |
| _MiR vs Eddy | 3–21 | 12.50% |
| _MiR vs Bryan | 7–15 | 31.82% |
| _MiR vs Yoshimitsu | 9–12 | 42.86% |
| _MiR vs Paul | 0–20 | 0.00% |
| _MiR vs Lili | 7–13 | 35.00% |
| _MiR vs Kazuya | 8–10 | 44.44% |
| _MiR vs Azucena | 8–10 | 44.44% |
| _MiR vs Miary Zo | 8–9 | 47.06% |
| _MiR vs Leo | 5–11 | 31.25% |
| _MiR vs Victor | 2–14 | 12.50% |
| _MiR vs Jun | 8–7 | 53.33% |
| _MiR vs Alisa | 3–10 | 23.08% |
| _MiR vs Lidia | 7–6 | 53.85% |
| _MiR vs Jack-8 | 3–9 | 25.00% |
| _MiR vs Lee | 4–8 | 33.33% |
| _MiR vs Leroy | 5–6 | 45.45% |
| _MiR vs Lars | 1–8 | 11.11% |
| _MiR vs Kuma | 2–7 | 22.22% |
| _MiR vs Devil Jin | 4–4 | 50.00% |
| _MiR vs Feng | 2–6 | 25.00% |
| _MiR vs Dragunov | 0–8 | 0.00% |
| _MiR vs Shaheen | 3–5 | 37.50% |
| _MiR vs Zafina | 4–4 | 50.00% |
| _MiR vs Xiaoyu | 3–4 | 42.86% |
| _MiR vs Asuka | 2–5 | 28.57% |
| _MiR vs Claudio | 0–6 | 0.00% |
| _MiR vs Panda | 1–4 | 20.00% |
| _MiR vs Raven | 1–4 | 20.00% |
| _MiR vs Anna | 2–2 | 50.00% |
| _MiR vs Fahkumram | 1–1 | 50.00% |
| _MiR vs Armor King | 1–0 | 100.00% |
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.