| bcfccf vs Hwoarang | 122–96 | 55.96% |
| bcfccf vs Bryan | 120–96 | 55.56% |
| bcfccf vs Dragunov | 98–101 | 49.25% |
| bcfccf vs Asuka | 92–87 | 51.40% |
| bcfccf vs Kazuya | 93–80 | 53.76% |
| bcfccf vs Jin | 94–72 | 56.63% |
| bcfccf vs Steve | 99–65 | 60.37% |
| bcfccf vs Law | 83–80 | 50.92% |
| bcfccf vs Reina | 78–52 | 60.00% |
| bcfccf vs Yoshimitsu | 67–60 | 52.76% |
| bcfccf vs King | 65–59 | 52.42% |
| bcfccf vs Paul | 71–50 | 58.68% |
| bcfccf vs Lee | 58–63 | 47.93% |
| bcfccf vs Lars | 57–55 | 50.89% |
| bcfccf vs Alisa | 39–67 | 36.79% |
| bcfccf vs Lili | 57–47 | 54.81% |
| bcfccf vs Eddy | 55–48 | 53.40% |
| bcfccf vs Nina | 56–42 | 57.14% |
| bcfccf vs Victor | 52–45 | 53.61% |
| bcfccf vs Feng | 48–47 | 50.53% |
| bcfccf vs Jack-8 | 55–38 | 59.14% |
| bcfccf vs Jun | 46–47 | 49.46% |
| bcfccf vs Heihachi | 45–46 | 49.45% |
| bcfccf vs Devil Jin | 51–38 | 57.30% |
| bcfccf vs Lidia | 44–43 | 50.57% |
| bcfccf vs Fahkumram | 42–40 | 51.22% |
| bcfccf vs Azucena | 41–36 | 53.25% |
| bcfccf vs Leroy | 40–34 | 54.05% |
| bcfccf vs Shaheen | 31–41 | 43.06% |
| bcfccf vs Leo | 40–28 | 58.82% |
| bcfccf vs Raven | 33–34 | 49.25% |
| bcfccf vs Claudio | 30–31 | 49.18% |
| bcfccf vs Anna | 26–35 | 42.62% |
| bcfccf vs Armor King | 26–32 | 44.83% |
| bcfccf vs Clive | 23–28 | 45.10% |
| bcfccf vs Xiaoyu | 23–27 | 46.00% |
| bcfccf vs Zafina | 24–21 | 53.33% |
| bcfccf vs Kuma | 11–26 | 29.73% |
| bcfccf vs Miary Zo | 16–13 | 55.17% |
| bcfccf vs Panda | 15–11 | 57.69% |
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.