| Magnolia_Tray vs Reina | 19–8 | 70.37% |
| Magnolia_Tray vs Eddy | 8–11 | 42.11% |
| Magnolia_Tray vs Kazuya | 10–8 | 55.56% |
| Magnolia_Tray vs Law | 12–5 | 70.59% |
| Magnolia_Tray vs Jin | 10–7 | 58.82% |
| Magnolia_Tray vs Steve | 6–10 | 37.50% |
| Magnolia_Tray vs Clive | 11–4 | 73.33% |
| Magnolia_Tray vs King | 7–7 | 50.00% |
| Magnolia_Tray vs Yoshimitsu | 7–5 | 58.33% |
| Magnolia_Tray vs Asuka | 4–6 | 40.00% |
| Magnolia_Tray vs Jun | 2–8 | 20.00% |
| Magnolia_Tray vs Bryan | 4–5 | 44.44% |
| Magnolia_Tray vs Hwoarang | 6–1 | 85.71% |
| Magnolia_Tray vs Dragunov | 1–6 | 14.29% |
| Magnolia_Tray vs Victor | 5–2 | 71.43% |
| Magnolia_Tray vs Feng | 1–5 | 16.67% |
| Magnolia_Tray vs Alisa | 4–2 | 66.67% |
| Magnolia_Tray vs Leroy | 3–3 | 50.00% |
| Magnolia_Tray vs Jack-8 | 3–2 | 60.00% |
| Magnolia_Tray vs Shaheen | 4–1 | 80.00% |
| Magnolia_Tray vs Lili | 2–2 | 50.00% |
| Magnolia_Tray vs Leo | 0–4 | 0.00% |
| Magnolia_Tray vs Nina | 1–3 | 25.00% |
| Magnolia_Tray vs Azucena | 1–3 | 25.00% |
| Magnolia_Tray vs Heihachi | 1–3 | 25.00% |
| Magnolia_Tray vs Anna | 4–0 | 100.00% |
| Magnolia_Tray vs Paul | 0–3 | 0.00% |
| Magnolia_Tray vs Devil Jin | 1–2 | 33.33% |
| Magnolia_Tray vs Lee | 2–1 | 66.67% |
| Magnolia_Tray vs Lidia | 3–0 | 100.00% |
| Magnolia_Tray vs Lars | 1–1 | 50.00% |
| Magnolia_Tray vs Claudio | 1–1 | 50.00% |
| Magnolia_Tray vs Kuma | 1–1 | 50.00% |
| Magnolia_Tray vs Raven | 0–2 | 0.00% |
| Magnolia_Tray vs Xiaoyu | 1–0 | 100.00% |
| Magnolia_Tray vs Panda | 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.