| NamcoFIEND vs King | 139–102 | 57.68% |
| NamcoFIEND vs Kazuya | 91–117 | 43.75% |
| NamcoFIEND vs Jin | 74–101 | 42.29% |
| NamcoFIEND vs Steve | 84–73 | 53.50% |
| NamcoFIEND vs Armor King | 68–75 | 47.55% |
| NamcoFIEND vs Heihachi | 69–71 | 49.29% |
| NamcoFIEND vs Bryan | 48–74 | 39.34% |
| NamcoFIEND vs Dragunov | 64–55 | 53.78% |
| NamcoFIEND vs Reina | 47–67 | 41.23% |
| NamcoFIEND vs Hwoarang | 48–65 | 42.48% |
| NamcoFIEND vs Law | 55–56 | 49.55% |
| NamcoFIEND vs Lili | 45–50 | 47.37% |
| NamcoFIEND vs Eddy | 41–46 | 47.13% |
| NamcoFIEND vs Clive | 46–38 | 54.76% |
| NamcoFIEND vs Yoshimitsu | 31–51 | 37.80% |
| NamcoFIEND vs Fahkumram | 36–44 | 45.00% |
| NamcoFIEND vs Lars | 34–43 | 44.16% |
| NamcoFIEND vs Xiaoyu | 32–40 | 44.44% |
| NamcoFIEND vs Lee | 32–36 | 47.06% |
| NamcoFIEND vs Asuka | 28–39 | 41.79% |
| NamcoFIEND vs Devil Jin | 29–38 | 43.28% |
| NamcoFIEND vs Paul | 25–41 | 37.88% |
| NamcoFIEND vs Victor | 26–40 | 39.39% |
| NamcoFIEND vs Anna | 30–36 | 45.45% |
| NamcoFIEND vs Azucena | 26–37 | 41.27% |
| NamcoFIEND vs Jun | 31–31 | 50.00% |
| NamcoFIEND vs Leo | 32–29 | 52.46% |
| NamcoFIEND vs Lidia | 20–30 | 40.00% |
| NamcoFIEND vs Alisa | 16–27 | 37.21% |
| NamcoFIEND vs Nina | 14–23 | 37.84% |
| NamcoFIEND vs Raven | 13–24 | 35.14% |
| NamcoFIEND vs Miary Zo | 14–22 | 38.89% |
| NamcoFIEND vs Feng | 16–18 | 47.06% |
| NamcoFIEND vs Kuma | 13–21 | 38.24% |
| NamcoFIEND vs Leroy | 23–11 | 67.65% |
| NamcoFIEND vs Jack-8 | 12–18 | 40.00% |
| NamcoFIEND vs Claudio | 10–14 | 41.67% |
| NamcoFIEND vs Zafina | 10–14 | 41.67% |
| NamcoFIEND vs Shaheen | 3–8 | 27.27% |
| NamcoFIEND vs Panda | 1–3 | 25.00% |
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.