| Miles222 vs King | 27–31 | 46.55% |
| Miles222 vs Jin | 27–26 | 50.94% |
| Miles222 vs Reina | 33–16 | 67.35% |
| Miles222 vs Hwoarang | 22–26 | 45.83% |
| Miles222 vs Steve | 24–22 | 52.17% |
| Miles222 vs Bryan | 21–16 | 56.76% |
| Miles222 vs Yoshimitsu | 16–19 | 45.71% |
| Miles222 vs Xiaoyu | 14–15 | 48.28% |
| Miles222 vs Kazuya | 15–12 | 55.56% |
| Miles222 vs Law | 9–16 | 36.00% |
| Miles222 vs Paul | 7–16 | 30.43% |
| Miles222 vs Victor | 10–12 | 45.45% |
| Miles222 vs Eddy | 3–19 | 13.64% |
| Miles222 vs Devil Jin | 13–8 | 61.90% |
| Miles222 vs Lili | 12–9 | 57.14% |
| Miles222 vs Dragunov | 11–9 | 55.00% |
| Miles222 vs Alisa | 10–9 | 52.63% |
| Miles222 vs Nina | 14–3 | 82.35% |
| Miles222 vs Asuka | 7–7 | 50.00% |
| Miles222 vs Leroy | 6–8 | 42.86% |
| Miles222 vs Azucena | 6–7 | 46.15% |
| Miles222 vs Shaheen | 5–7 | 41.67% |
| Miles222 vs Leo | 8–3 | 72.73% |
| Miles222 vs Claudio | 7–4 | 63.64% |
| Miles222 vs Jun | 4–7 | 36.36% |
| Miles222 vs Feng | 1–8 | 11.11% |
| Miles222 vs Lars | 5–3 | 62.50% |
| Miles222 vs Clive | 1–7 | 12.50% |
| Miles222 vs Raven | 3–3 | 50.00% |
| Miles222 vs Lidia | 4–2 | 66.67% |
| Miles222 vs Jack-8 | 2–3 | 40.00% |
| Miles222 vs Kuma | 2–2 | 50.00% |
| Miles222 vs Zafina | 0–3 | 0.00% |
| Miles222 vs Heihachi | 2–1 | 66.67% |
| Miles222 vs Lee | 0–2 | 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.