| Mirror vs Clive | 56–26 | 68.29% |
| Mirror vs Bryan | 38–28 | 57.58% |
| Mirror vs Jin | 38–23 | 62.30% |
| Mirror vs Kazuya | 34–22 | 60.71% |
| Mirror vs King | 32–16 | 66.67% |
| Mirror vs Dragunov | 27–14 | 65.85% |
| Mirror vs Jun | 16–21 | 43.24% |
| Mirror vs Law | 17–18 | 48.57% |
| Mirror vs Reina | 26–9 | 74.29% |
| Mirror vs Steve | 19–15 | 55.88% |
| Mirror vs Devil Jin | 22–12 | 64.71% |
| Mirror vs Heihachi | 12–13 | 48.00% |
| Mirror vs Victor | 16–8 | 66.67% |
| Mirror vs Paul | 11–9 | 55.00% |
| Mirror vs Hwoarang | 12–8 | 60.00% |
| Mirror vs Claudio | 9–10 | 47.37% |
| Mirror vs Azucena | 12–7 | 63.16% |
| Mirror vs Yoshimitsu | 11–5 | 68.75% |
| Mirror vs Lee | 12–4 | 75.00% |
| Mirror vs Asuka | 8–7 | 53.33% |
| Mirror vs Nina | 11–3 | 78.57% |
| Mirror vs Lili | 8–5 | 61.54% |
| Mirror vs Raven | 6–7 | 46.15% |
| Mirror vs Alisa | 4–8 | 33.33% |
| Mirror vs Lidia | 8–4 | 66.67% |
| Mirror vs Lars | 9–2 | 81.82% |
| Mirror vs Xiaoyu | 5–5 | 50.00% |
| Mirror vs Jack-8 | 5–4 | 55.56% |
| Mirror vs Eddy | 6–3 | 66.67% |
| Mirror vs Shaheen | 1–6 | 14.29% |
| Mirror vs Kuma | 5–2 | 71.43% |
| Mirror vs Anna | 4–3 | 57.14% |
| Mirror vs Feng | 0–6 | 0.00% |
| Mirror vs Leo | 3–2 | 60.00% |
| Mirror vs Panda | 1–2 | 33.33% |
| Mirror vs Leroy | 1–2 | 33.33% |
| Mirror vs Fahkumram | 2–0 | 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.