| MagiLune vs Reina | 33–5 | 86.84% |
| MagiLune vs Jin | 29–4 | 87.88% |
| MagiLune vs Bryan | 24–7 | 77.42% |
| MagiLune vs Hwoarang | 24–5 | 82.76% |
| MagiLune vs King | 19–3 | 86.36% |
| MagiLune vs Heihachi | 16–3 | 84.21% |
| MagiLune vs Fahkumram | 15–3 | 83.33% |
| MagiLune vs Armor King | 12–6 | 66.67% |
| MagiLune vs Kazuya | 13–4 | 76.47% |
| MagiLune vs Yoshimitsu | 11–3 | 78.57% |
| MagiLune vs Dragunov | 8–5 | 61.54% |
| MagiLune vs Lars | 8–4 | 66.67% |
| MagiLune vs Nina | 10–2 | 83.33% |
| MagiLune vs Anna | 8–4 | 66.67% |
| MagiLune vs Victor | 9–1 | 90.00% |
| MagiLune vs Devil Jin | 6–3 | 66.67% |
| MagiLune vs Lee | 7–2 | 77.78% |
| MagiLune vs Jun | 7–2 | 77.78% |
| MagiLune vs Paul | 6–2 | 75.00% |
| MagiLune vs Law | 6–2 | 75.00% |
| MagiLune vs Asuka | 8–0 | 100.00% |
| MagiLune vs Leroy | 5–3 | 62.50% |
| MagiLune vs Azucena | 6–1 | 85.71% |
| MagiLune vs Lili | 6–0 | 100.00% |
| MagiLune vs Alisa | 6–0 | 100.00% |
| MagiLune vs Steve | 3–2 | 60.00% |
| MagiLune vs Jack-8 | 4–1 | 80.00% |
| MagiLune vs Zafina | 3–2 | 60.00% |
| MagiLune vs Kuma | 4–0 | 100.00% |
| MagiLune vs Xiaoyu | 2–0 | 100.00% |
| MagiLune vs Feng | 2–0 | 100.00% |
| MagiLune vs Claudio | 2–0 | 100.00% |
| MagiLune vs Eddy | 2–0 | 100.00% |
| MagiLune vs Clive | 0–2 | 0.00% |
| MagiLune vs Lidia | 0–1 | 0.00% |
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.