| BearFN vs King | 199–212 | 48.42% |
| BearFN vs Bryan | 146–144 | 50.34% |
| BearFN vs Steve | 150–129 | 53.76% |
| BearFN vs Reina | 150–127 | 54.15% |
| BearFN vs Jin | 117–148 | 44.15% |
| BearFN vs Kazuya | 133–130 | 50.57% |
| BearFN vs Hwoarang | 102–123 | 45.33% |
| BearFN vs Yoshimitsu | 96–114 | 45.71% |
| BearFN vs Dragunov | 104–100–1 | 50.98% |
| BearFN vs Heihachi | 99–101 | 49.50% |
| BearFN vs Law | 109–89 | 55.05% |
| BearFN vs Lee | 102–94 | 52.04% |
| BearFN vs Lili | 80–115 | 41.03% |
| BearFN vs Jun | 91–92 | 49.73% |
| BearFN vs Azucena | 96–77 | 55.49% |
| BearFN vs Xiaoyu | 92–77 | 54.44% |
| BearFN vs Paul | 66–96 | 40.74% |
| BearFN vs Lars | 64–94 | 40.51% |
| BearFN vs Asuka | 76–63 | 54.68% |
| BearFN vs Nina | 54–59 | 47.79% |
| BearFN vs Clive | 56–57 | 49.56% |
| BearFN vs Devil Jin | 59–53 | 52.68% |
| BearFN vs Victor | 51–59 | 46.36% |
| BearFN vs Jack-8 | 49–58 | 45.79% |
| BearFN vs Leo | 50–50 | 50.00% |
| BearFN vs Raven | 44–41 | 51.76% |
| BearFN vs Lidia | 52–32 | 61.90% |
| BearFN vs Kuma | 43–40 | 51.81% |
| BearFN vs Claudio | 38–44 | 46.34% |
| BearFN vs Fahkumram | 39–41 | 48.75% |
| BearFN vs Alisa | 29–47 | 38.16% |
| BearFN vs Feng | 39–33 | 54.17% |
| BearFN vs Shaheen | 35–37 | 48.61% |
| BearFN vs Leroy | 31–40 | 43.66% |
| BearFN vs Eddy | 29–36 | 44.62% |
| BearFN vs Anna | 22–37 | 37.29% |
| BearFN vs Zafina | 25–30 | 45.45% |
| BearFN vs Panda | 5–12 | 29.41% |
| BearFN vs Armor King | 10–3 | 76.92% |
| BearFN vs Miary Zo | 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.