| Miroir vs Kazuya | 77–47 | 62.10% |
| Miroir vs Clive | 71–49 | 59.17% |
| Miroir vs Heihachi | 57–34 | 62.64% |
| Miroir vs Paul | 49–38 | 56.32% |
| Miroir vs Reina | 53–34 | 60.92% |
| Miroir vs Dragunov | 48–33 | 59.26% |
| Miroir vs Bryan | 49–31 | 61.25% |
| Miroir vs Steve | 38–39 | 49.35% |
| Miroir vs Jin | 45–23 | 66.18% |
| Miroir vs Asuka | 26–31 | 45.61% |
| Miroir vs Lidia | 34–21 | 61.82% |
| Miroir vs Eddy | 31–20 | 60.78% |
| Miroir vs King | 18–32 | 36.00% |
| Miroir vs Hwoarang | 28–20 | 58.33% |
| Miroir vs Jun | 19–28 | 40.43% |
| Miroir vs Yoshimitsu | 22–22 | 50.00% |
| Miroir vs Devil Jin | 28–16 | 63.64% |
| Miroir vs Nina | 23–19 | 54.76% |
| Miroir vs Azucena | 23–19 | 54.76% |
| Miroir vs Law | 18–21 | 46.15% |
| Miroir vs Lili | 20–19 | 51.28% |
| Miroir vs Jack-8 | 23–13 | 63.89% |
| Miroir vs Victor | 24–12 | 66.67% |
| Miroir vs Shaheen | 16–19 | 45.71% |
| Miroir vs Claudio | 16–17 | 48.48% |
| Miroir vs Lee | 16–17 | 48.48% |
| Miroir vs Zafina | 13–16 | 44.83% |
| Miroir vs Leroy | 21–4 | 84.00% |
| Miroir vs Lars | 11–13 | 45.83% |
| Miroir vs Alisa | 10–14 | 41.67% |
| Miroir vs Kuma | 14–9 | 60.87% |
| Miroir vs Xiaoyu | 15–7 | 68.18% |
| Miroir vs Feng | 11–10 | 52.38% |
| Miroir vs Leo | 12–8 | 60.00% |
| Miroir vs Raven | 11–1 | 91.67% |
| Miroir vs Anna | 4–7 | 36.36% |
| Miroir vs Panda | 4–4 | 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.