| bluem4gic vs Jin | 10–13 | 43.48% |
| bluem4gic vs King | 8–12 | 40.00% |
| bluem4gic vs Heihachi | 6–9 | 40.00% |
| bluem4gic vs Clive | 8–7 | 53.33% |
| bluem4gic vs Kazuya | 6–8 | 42.86% |
| bluem4gic vs Lili | 3–11 | 21.43% |
| bluem4gic vs Bryan | 5–8 | 38.46% |
| bluem4gic vs Reina | 10–3 | 76.92% |
| bluem4gic vs Hwoarang | 7–5 | 58.33% |
| bluem4gic vs Eddy | 3–9 | 25.00% |
| bluem4gic vs Asuka | 4–6 | 40.00% |
| bluem4gic vs Claudio | 1–7 | 12.50% |
| bluem4gic vs Nina | 4–4 | 50.00% |
| bluem4gic vs Jun | 4–4 | 50.00% |
| bluem4gic vs Lidia | 1–7 | 12.50% |
| bluem4gic vs Law | 3–4 | 42.86% |
| bluem4gic vs Steve | 4–3 | 57.14% |
| bluem4gic vs Jack-8 | 2–5 | 28.57% |
| bluem4gic vs Dragunov | 2–5 | 28.57% |
| bluem4gic vs Lars | 6–1 | 85.71% |
| bluem4gic vs Azucena | 2–5 | 28.57% |
| bluem4gic vs Devil Jin | 2–4 | 33.33% |
| bluem4gic vs Zafina | 1–5 | 16.67% |
| bluem4gic vs Paul | 2–3 | 40.00% |
| bluem4gic vs Yoshimitsu | 3–2 | 60.00% |
| bluem4gic vs Xiaoyu | 3–2 | 60.00% |
| bluem4gic vs Feng | 3–2 | 60.00% |
| bluem4gic vs Leo | 2–1 | 66.67% |
| bluem4gic vs Alisa | 0–3 | 0.00% |
| bluem4gic vs Leroy | 2–1 | 66.67% |
| bluem4gic vs Victor | 2–1 | 66.67% |
| bluem4gic vs Shaheen | 1–1 | 50.00% |
| bluem4gic vs Lee | 0–2 | 0.00% |
| bluem4gic vs Kuma | 0–2 | 0.00% |
| bluem4gic vs Raven | 1–0 | 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.