| Miku Beam vs Jin | 72–47 | 60.50% |
| Miku Beam vs Kazuya | 68–49 | 58.12% |
| Miku Beam vs King | 53–51 | 50.96% |
| Miku Beam vs Steve | 37–33 | 52.86% |
| Miku Beam vs Bryan | 34–31 | 52.31% |
| Miku Beam vs Dragunov | 27–37 | 42.19% |
| Miku Beam vs Reina | 42–20 | 67.74% |
| Miku Beam vs Law | 32–28 | 53.33% |
| Miku Beam vs Heihachi | 31–14 | 68.89% |
| Miku Beam vs Devil Jin | 25–19 | 56.82% |
| Miku Beam vs Azucena | 27–16 | 62.79% |
| Miku Beam vs Paul | 24–17 | 58.54% |
| Miku Beam vs Yoshimitsu | 21–17 | 55.26% |
| Miku Beam vs Hwoarang | 19–18 | 51.35% |
| Miku Beam vs Feng | 17–20 | 45.95% |
| Miku Beam vs Lidia | 9–27 | 25.00% |
| Miku Beam vs Miary Zo | 14–13 | 51.85% |
| Miku Beam vs Lili | 11–13 | 45.83% |
| Miku Beam vs Nina | 15–9 | 62.50% |
| Miku Beam vs Clive | 9–14 | 39.13% |
| Miku Beam vs Claudio | 8–13 | 38.10% |
| Miku Beam vs Lee | 14–7 | 66.67% |
| Miku Beam vs Asuka | 10–10 | 50.00% |
| Miku Beam vs Armor King | 10–9 | 52.63% |
| Miku Beam vs Victor | 10–8 | 55.56% |
| Miku Beam vs Eddy | 9–9 | 50.00% |
| Miku Beam vs Kuma | 6–11 | 35.29% |
| Miku Beam vs Jun | 12–5 | 70.59% |
| Miku Beam vs Shaheen | 10–4 | 71.43% |
| Miku Beam vs Lars | 6–6 | 50.00% |
| Miku Beam vs Anna | 7–5 | 58.33% |
| Miku Beam vs Alisa | 3–8 | 27.27% |
| Miku Beam vs Leroy | 3–8 | 27.27% |
| Miku Beam vs Leo | 4–5 | 44.44% |
| Miku Beam vs Zafina | 3–5 | 37.50% |
| Miku Beam vs Xiaoyu | 2–5 | 28.57% |
| Miku Beam vs Jack-8 | 2–5 | 28.57% |
| Miku Beam vs Raven | 4–2 | 66.67% |
| Miku Beam vs Panda | 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.