| miles vs Reina | 41–30 | 57.75% |
| miles vs Jin | 32–31 | 50.79% |
| miles vs Kazuya | 31–31 | 50.00% |
| miles vs Steve | 33–28 | 54.10% |
| miles vs King | 33–27 | 55.00% |
| miles vs Law | 27–30 | 47.37% |
| miles vs Lili | 38–19 | 66.67% |
| miles vs Azucena | 26–28 | 48.15% |
| miles vs Bryan | 13–34 | 27.66% |
| miles vs Yoshimitsu | 18–23 | 43.90% |
| miles vs Hwoarang | 21–20 | 51.22% |
| miles vs Lars | 20–19 | 51.28% |
| miles vs Lidia | 14–22 | 38.89% |
| miles vs Dragunov | 20–15 | 57.14% |
| miles vs Jun | 19–14 | 57.58% |
| miles vs Lee | 12–18 | 40.00% |
| miles vs Eddy | 17–13 | 56.67% |
| miles vs Asuka | 15–13 | 53.57% |
| miles vs Paul | 11–12 | 47.83% |
| miles vs Jack-8 | 11–12 | 47.83% |
| miles vs Leo | 11–10 | 52.38% |
| miles vs Heihachi | 8–13 | 38.10% |
| miles vs Leroy | 11–7 | 61.11% |
| miles vs Nina | 11–5 | 68.75% |
| miles vs Xiaoyu | 6–9 | 40.00% |
| miles vs Kuma | 10–5 | 66.67% |
| miles vs Raven | 8–7 | 53.33% |
| miles vs Devil Jin | 4–9 | 30.77% |
| miles vs Victor | 2–10 | 16.67% |
| miles vs Feng | 7–4 | 63.64% |
| miles vs Shaheen | 6–3 | 66.67% |
| miles vs Alisa | 6–2 | 75.00% |
| miles vs Claudio | 2–5 | 28.57% |
| miles vs Miary Zo | 3–3 | 50.00% |
| miles vs Clive | 0–3 | 0.00% |
| miles vs Fahkumram | 3–0 | 100.00% |
| miles vs Panda | 2–0 | 100.00% |
| miles vs Zafina | 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.