| Blu3m@gic vs Jin | 26–26 | 50.00% |
| Blu3m@gic vs King | 15–27 | 35.71% |
| Blu3m@gic vs Kazuya | 19–23 | 45.24% |
| Blu3m@gic vs Law | 16–17 | 48.48% |
| Blu3m@gic vs Steve | 14–11 | 56.00% |
| Blu3m@gic vs Reina | 14–11 | 56.00% |
| Blu3m@gic vs Dragunov | 8–15 | 34.78% |
| Blu3m@gic vs Bryan | 13–7 | 65.00% |
| Blu3m@gic vs Eddy | 8–12 | 40.00% |
| Blu3m@gic vs Heihachi | 9–9 | 50.00% |
| Blu3m@gic vs Paul | 7–9 | 43.75% |
| Blu3m@gic vs Feng | 6–10 | 37.50% |
| Blu3m@gic vs Claudio | 6–10 | 37.50% |
| Blu3m@gic vs Azucena | 11–5 | 68.75% |
| Blu3m@gic vs Yoshimitsu | 5–10 | 33.33% |
| Blu3m@gic vs Asuka | 9–6 | 60.00% |
| Blu3m@gic vs Jun | 9–6 | 60.00% |
| Blu3m@gic vs Lidia | 12–3 | 80.00% |
| Blu3m@gic vs Fahkumram | 7–8 | 46.67% |
| Blu3m@gic vs Hwoarang | 9–5 | 64.29% |
| Blu3m@gic vs Victor | 7–7 | 50.00% |
| Blu3m@gic vs Lee | 7–6 | 53.85% |
| Blu3m@gic vs Lars | 8–4 | 66.67% |
| Blu3m@gic vs Armor King | 5–7 | 41.67% |
| Blu3m@gic vs Clive | 7–4 | 63.64% |
| Blu3m@gic vs Jack-8 | 3–7 | 30.00% |
| Blu3m@gic vs Lili | 4–6 | 40.00% |
| Blu3m@gic vs Zafina | 5–4 | 55.56% |
| Blu3m@gic vs Leroy | 4–5 | 44.44% |
| Blu3m@gic vs Raven | 3–6 | 33.33% |
| Blu3m@gic vs Anna | 2–6 | 25.00% |
| Blu3m@gic vs Devil Jin | 3–4 | 42.86% |
| Blu3m@gic vs Nina | 5–1 | 83.33% |
| Blu3m@gic vs Miary Zo | 2–3 | 40.00% |
| Blu3m@gic vs Xiaoyu | 2–2 | 50.00% |
| Blu3m@gic vs Leo | 3–1 | 75.00% |
| Blu3m@gic vs Alisa | 1–1 | 50.00% |
| Blu3m@gic vs Kuma | 0–2 | 0.00% |
| Blu3m@gic vs Shaheen | 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.