| NotVeryFriendly vs Jin | 14–8 | 63.64% |
| NotVeryFriendly vs Kazuya | 11–11 | 50.00% |
| NotVeryFriendly vs Hwoarang | 16–3 | 84.21% |
| NotVeryFriendly vs Reina | 12–6 | 66.67% |
| NotVeryFriendly vs Lidia | 17–1 | 94.44% |
| NotVeryFriendly vs King | 10–6 | 62.50% |
| NotVeryFriendly vs Law | 8–7 | 53.33% |
| NotVeryFriendly vs Yoshimitsu | 10–5 | 66.67% |
| NotVeryFriendly vs Steve | 11–4 | 73.33% |
| NotVeryFriendly vs Dragunov | 11–4 | 73.33% |
| NotVeryFriendly vs Bryan | 6–6 | 50.00% |
| NotVeryFriendly vs Lili | 6–5 | 54.55% |
| NotVeryFriendly vs Jun | 7–4 | 63.64% |
| NotVeryFriendly vs Azucena | 8–3 | 72.73% |
| NotVeryFriendly vs Nina | 7–3 | 70.00% |
| NotVeryFriendly vs Feng | 3–6 | 33.33% |
| NotVeryFriendly vs Alisa | 4–5 | 44.44% |
| NotVeryFriendly vs Claudio | 4–4 | 50.00% |
| NotVeryFriendly vs Victor | 2–5 | 28.57% |
| NotVeryFriendly vs Paul | 4–2 | 66.67% |
| NotVeryFriendly vs Lars | 5–1 | 83.33% |
| NotVeryFriendly vs Lee | 3–3 | 50.00% |
| NotVeryFriendly vs Eddy | 3–2 | 60.00% |
| NotVeryFriendly vs Leo | 2–2 | 50.00% |
| NotVeryFriendly vs Kuma | 1–3 | 25.00% |
| NotVeryFriendly vs Jack-8 | 3–0 | 100.00% |
| NotVeryFriendly vs Asuka | 3–0 | 100.00% |
| NotVeryFriendly vs Xiaoyu | 2–0 | 100.00% |
| NotVeryFriendly vs Devil Jin | 2–0 | 100.00% |
| NotVeryFriendly vs Leroy | 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.