| myles vs Fahkumram | 22–19 | 53.66% |
| myles vs King | 9–8 | 52.94% |
| myles vs Clive | 7–10 | 41.18% |
| myles vs Jin | 7–8 | 46.67% |
| myles vs Kazuya | 7–8 | 46.67% |
| myles vs Lee | 4–10 | 28.57% |
| myles vs Xiaoyu | 5–8 | 38.46% |
| myles vs Bryan | 9–4 | 69.23% |
| myles vs Hwoarang | 3–9 | 25.00% |
| myles vs Reina | 9–3 | 75.00% |
| myles vs Steve | 5–6 | 45.45% |
| myles vs Nina | 7–2 | 77.78% |
| myles vs Asuka | 8–0 | 100.00% |
| myles vs Heihachi | 6–2 | 75.00% |
| myles vs Devil Jin | 3–4 | 42.86% |
| myles vs Leo | 3–4 | 42.86% |
| myles vs Azucena | 4–3 | 57.14% |
| myles vs Lidia | 3–4 | 42.86% |
| myles vs Law | 4–2 | 66.67% |
| myles vs Yoshimitsu | 4–2 | 66.67% |
| myles vs Lili | 1–5 | 16.67% |
| myles vs Eddy | 2–4 | 33.33% |
| myles vs Dragunov | 1–4 | 20.00% |
| myles vs Lars | 1–4 | 20.00% |
| myles vs Leroy | 2–3 | 40.00% |
| myles vs Jun | 5–0 | 100.00% |
| myles vs Victor | 2–3 | 40.00% |
| myles vs Anna | 3–2 | 60.00% |
| myles vs Armor King | 2–2 | 50.00% |
| myles vs Paul | 1–2 | 33.33% |
| myles vs Jack-8 | 2–1 | 66.67% |
| myles vs Alisa | 3–0 | 100.00% |
| myles vs Kuma | 1–2 | 33.33% |
| myles vs Shaheen | 2–0 | 100.00% |
| myles vs Panda | 0–2 | 0.00% |
| myles vs Zafina | 1–1 | 50.00% |
| myles vs Raven | 2–0 | 100.00% |
| myles vs Feng | 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.