| MaybeMylton vs King | 10–14 | 41.67% |
| MaybeMylton vs Jin | 8–13 | 38.10% |
| MaybeMylton vs Hwoarang | 9–7 | 56.25% |
| MaybeMylton vs Steve | 8–7 | 53.33% |
| MaybeMylton vs Reina | 6–9 | 40.00% |
| MaybeMylton vs Lili | 4–10 | 28.57% |
| MaybeMylton vs Bryan | 4–9 | 30.77% |
| MaybeMylton vs Lidia | 3–8 | 27.27% |
| MaybeMylton vs Kazuya | 3–7 | 30.00% |
| MaybeMylton vs Dragunov | 3–7 | 30.00% |
| MaybeMylton vs Victor | 3–7 | 30.00% |
| MaybeMylton vs Eddy | 2–8 | 20.00% |
| MaybeMylton vs Devil Jin | 1–8 | 11.11% |
| MaybeMylton vs Jun | 3–6 | 33.33% |
| MaybeMylton vs Leo | 4–4 | 50.00% |
| MaybeMylton vs Azucena | 2–6 | 25.00% |
| MaybeMylton vs Law | 4–3 | 57.14% |
| MaybeMylton vs Lars | 5–2 | 71.43% |
| MaybeMylton vs Leroy | 4–2–1 | 66.67% |
| MaybeMylton vs Xiaoyu | 2–4 | 33.33% |
| MaybeMylton vs Asuka | 0–6 | 0.00% |
| MaybeMylton vs Paul | 2–3 | 40.00% |
| MaybeMylton vs Shaheen | 1–4 | 20.00% |
| MaybeMylton vs Raven | 1–4 | 20.00% |
| MaybeMylton vs Jack-8 | 3–1 | 75.00% |
| MaybeMylton vs Feng | 3–1 | 75.00% |
| MaybeMylton vs Nina | 2–2 | 50.00% |
| MaybeMylton vs Kuma | 1–3 | 25.00% |
| MaybeMylton vs Heihachi | 0–3 | 0.00% |
| MaybeMylton vs Yoshimitsu | 0–2 | 0.00% |
| MaybeMylton vs Claudio | 1–1 | 50.00% |
| MaybeMylton vs Lee | 2–0 | 100.00% |
| MaybeMylton vs Alisa | 0–1 | 0.00% |
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.