| MirroR vs Jin | 52–55 | 48.60% |
| MirroR vs Dragunov | 35–54 | 39.33% |
| MirroR vs Reina | 49–31 | 61.25% |
| MirroR vs Kazuya | 49–28 | 63.64% |
| MirroR vs King | 36–33 | 52.17% |
| MirroR vs Law | 36–29 | 55.38% |
| MirroR vs Lidia | 28–35 | 44.44% |
| MirroR vs Hwoarang | 21–36 | 36.84% |
| MirroR vs Paul | 28–27 | 50.91% |
| MirroR vs Bryan | 20–28 | 41.67% |
| MirroR vs Lars | 25–23 | 52.08% |
| MirroR vs Steve | 24–21 | 53.33% |
| MirroR vs Victor | 24–21 | 53.33% |
| MirroR vs Devil Jin | 23–17 | 57.50% |
| MirroR vs Feng | 16–24 | 40.00% |
| MirroR vs Azucena | 23–17 | 57.50% |
| MirroR vs Asuka | 15–22 | 40.54% |
| MirroR vs Clive | 20–17 | 54.05% |
| MirroR vs Yoshimitsu | 13–23 | 36.11% |
| MirroR vs Lili | 21–14 | 60.00% |
| MirroR vs Alisa | 5–30 | 14.29% |
| MirroR vs Eddy | 22–11 | 66.67% |
| MirroR vs Xiaoyu | 16–16 | 50.00% |
| MirroR vs Leo | 13–17 | 43.33% |
| MirroR vs Jack-8 | 10–15 | 40.00% |
| MirroR vs Kuma | 10–15 | 40.00% |
| MirroR vs Leroy | 9–16 | 36.00% |
| MirroR vs Lee | 9–15 | 37.50% |
| MirroR vs Jun | 13–11 | 54.17% |
| MirroR vs Nina | 11–11 | 50.00% |
| MirroR vs Claudio | 2–16 | 11.11% |
| MirroR vs Shaheen | 6–8 | 42.86% |
| MirroR vs Raven | 1–9 | 10.00% |
| MirroR vs Zafina | 3–4 | 42.86% |
| MirroR vs Heihachi | 2–3 | 40.00% |
| MirroR vs Anna | 2–2 | 50.00% |
| MirroR vs Panda | 1–1 | 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.