| mag1c vs Jin | 65–33 | 66.33% |
| mag1c vs Dragunov | 45–43 | 51.14% |
| mag1c vs King | 31–54 | 36.47% |
| mag1c vs Bryan | 42–42 | 50.00% |
| mag1c vs Reina | 46–35 | 56.79% |
| mag1c vs Victor | 34–38 | 47.22% |
| mag1c vs Yoshimitsu | 28–42 | 40.00% |
| mag1c vs Kazuya | 40–28 | 58.82% |
| mag1c vs Hwoarang | 31–32 | 49.21% |
| mag1c vs Steve | 28–31 | 47.46% |
| mag1c vs Law | 24–32 | 42.86% |
| mag1c vs Lili | 22–33 | 40.00% |
| mag1c vs Paul | 25–25 | 50.00% |
| mag1c vs Asuka | 19–30 | 38.78% |
| mag1c vs Jun | 27–19 | 58.70% |
| mag1c vs Lee | 21–20 | 51.22% |
| mag1c vs Devil Jin | 18–17 | 51.43% |
| mag1c vs Azucena | 22–13 | 62.86% |
| mag1c vs Lars | 15–19 | 44.12% |
| mag1c vs Feng | 21–10 | 67.74% |
| mag1c vs Claudio | 12–18 | 40.00% |
| mag1c vs Heihachi | 15–13 | 53.57% |
| mag1c vs Nina | 9–18 | 33.33% |
| mag1c vs Xiaoyu | 9–17 | 34.62% |
| mag1c vs Raven | 10–13 | 43.48% |
| mag1c vs Lidia | 11–12 | 47.83% |
| mag1c vs Leroy | 14–7 | 66.67% |
| mag1c vs Leo | 6–13 | 31.58% |
| mag1c vs Alisa | 6–13 | 31.58% |
| mag1c vs Eddy | 9–10 | 47.37% |
| mag1c vs Jack-8 | 7–9 | 43.75% |
| mag1c vs Zafina | 3–8 | 27.27% |
| mag1c vs Armor King | 6–5 | 54.55% |
| mag1c vs Shaheen | 3–7 | 30.00% |
| mag1c vs Panda | 1–4 | 20.00% |
| mag1c vs Kuma | 1–2 | 33.33% |
| mag1c vs Anna | 1–2 | 33.33% |
| mag1c vs Clive | 2–0 | 100.00% |
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.