| #freekuya vs Jin | 28–14 | 66.67% |
| #freekuya vs Azucena | 27–10 | 72.97% |
| #freekuya vs King | 21–15 | 58.33% |
| #freekuya vs Kazuya | 28–5 | 84.85% |
| #freekuya vs Hwoarang | 23–8 | 74.19% |
| #freekuya vs Reina | 17–12 | 58.62% |
| #freekuya vs Eddy | 13–15 | 46.43% |
| #freekuya vs Steve | 12–13 | 48.00% |
| #freekuya vs Bryan | 18–4 | 81.82% |
| #freekuya vs Dragunov | 11–11 | 50.00% |
| #freekuya vs Nina | 16–6 | 72.73% |
| #freekuya vs Xiaoyu | 17–3 | 85.00% |
| #freekuya vs Paul | 9–10 | 47.37% |
| #freekuya vs Victor | 10–8 | 55.56% |
| #freekuya vs Claudio | 8–9 | 47.06% |
| #freekuya vs Jun | 15–1 | 93.75% |
| #freekuya vs Law | 12–3 | 80.00% |
| #freekuya vs Devil Jin | 8–7 | 53.33% |
| #freekuya vs Lars | 6–9 | 40.00% |
| #freekuya vs Lee | 10–4 | 71.43% |
| #freekuya vs Yoshimitsu | 12–1 | 92.31% |
| #freekuya vs Feng | 7–6 | 53.85% |
| #freekuya vs Lili | 10–3 | 76.92% |
| #freekuya vs Jack-8 | 9–3 | 75.00% |
| #freekuya vs Leroy | 6–5 | 54.55% |
| #freekuya vs Lidia | 4–6 | 40.00% |
| #freekuya vs Asuka | 7–2 | 77.78% |
| #freekuya vs Kuma | 4–3 | 57.14% |
| #freekuya vs Alisa | 4–1 | 80.00% |
| #freekuya vs Zafina | 4–1 | 80.00% |
| #freekuya vs Heihachi | 4–1 | 80.00% |
| #freekuya vs Panda | 4–0 | 100.00% |
| #freekuya vs Raven | 3–1 | 75.00% |
| #freekuya vs Leo | 2–0 | 100.00% |
| #freekuya vs Shaheen | 1–0 | 100.00% |
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.