| Mg_Alchemist vs Jin | 77–51 | 60.16% |
| Mg_Alchemist vs Kazuya | 74–44 | 62.71% |
| Mg_Alchemist vs King | 69–47 | 59.48% |
| Mg_Alchemist vs Law | 53–46 | 53.54% |
| Mg_Alchemist vs Hwoarang | 62–35 | 63.92% |
| Mg_Alchemist vs Devil Jin | 46–46 | 50.00% |
| Mg_Alchemist vs Paul | 61–29 | 67.78% |
| Mg_Alchemist vs Bryan | 48–41 | 53.93% |
| Mg_Alchemist vs Reina | 45–39 | 53.57% |
| Mg_Alchemist vs Eddy | 44–33 | 57.14% |
| Mg_Alchemist vs Feng | 35–37 | 48.61% |
| Mg_Alchemist vs Steve | 39–28 | 58.21% |
| Mg_Alchemist vs Heihachi | 44–23 | 65.67% |
| Mg_Alchemist vs Jun | 37–28 | 56.92% |
| Mg_Alchemist vs Lili | 34–30 | 53.12% |
| Mg_Alchemist vs Dragunov | 34–28 | 54.84% |
| Mg_Alchemist vs Clive | 25–36 | 40.98% |
| Mg_Alchemist vs Yoshimitsu | 29–21 | 58.00% |
| Mg_Alchemist vs Nina | 32–17 | 65.31% |
| Mg_Alchemist vs Victor | 23–23 | 50.00% |
| Mg_Alchemist vs Asuka | 24–20 | 54.55% |
| Mg_Alchemist vs Leroy | 30–13 | 69.77% |
| Mg_Alchemist vs Raven | 22–20 | 52.38% |
| Mg_Alchemist vs Jack-8 | 20–21 | 48.78% |
| Mg_Alchemist vs Lars | 23–14 | 62.16% |
| Mg_Alchemist vs Lee | 22–15 | 59.46% |
| Mg_Alchemist vs Leo | 19–16 | 54.29% |
| Mg_Alchemist vs Alisa | 17–14 | 54.84% |
| Mg_Alchemist vs Claudio | 16–15 | 51.61% |
| Mg_Alchemist vs Shaheen | 17–12 | 58.62% |
| Mg_Alchemist vs Kuma | 15–14 | 51.72% |
| Mg_Alchemist vs Xiaoyu | 19–9 | 67.86% |
| Mg_Alchemist vs Azucena | 17–10 | 62.96% |
| Mg_Alchemist vs Zafina | 10–12 | 45.45% |
| Mg_Alchemist vs Lidia | 3–7 | 30.00% |
| Mg_Alchemist vs Panda | 2–2 | 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.