| BFF-Genso vs King | 125–97 | 56.31% |
| BFF-Genso vs Jin | 97–117 | 45.33% |
| BFF-Genso vs Kazuya | 108–104 | 50.94% |
| BFF-Genso vs Hwoarang | 97–91 | 51.60% |
| BFF-Genso vs Law | 75–90 | 45.45% |
| BFF-Genso vs Bryan | 82–82–1 | 50.00% |
| BFF-Genso vs Steve | 82–80 | 50.62% |
| BFF-Genso vs Reina | 71–89 | 44.38% |
| BFF-Genso vs Paul | 54–74 | 42.19% |
| BFF-Genso vs Lars | 66–61 | 51.97% |
| BFF-Genso vs Eddy | 59–65 | 47.58% |
| BFF-Genso vs Jun | 61–62 | 49.59% |
| BFF-Genso vs Yoshimitsu | 50–52 | 49.02% |
| BFF-Genso vs Lee | 40–57 | 41.24% |
| BFF-Genso vs Clive | 49–44 | 52.69% |
| BFF-Genso vs Azucena | 40–48 | 45.45% |
| BFF-Genso vs Dragunov | 40–47 | 45.98% |
| BFF-Genso vs Nina | 34–53 | 39.08% |
| BFF-Genso vs Asuka | 44–42 | 51.16% |
| BFF-Genso vs Victor | 37–49 | 43.02% |
| BFF-Genso vs Lili | 41–41 | 50.00% |
| BFF-Genso vs Heihachi | 48–31 | 60.76% |
| BFF-Genso vs Lidia | 33–44 | 42.86% |
| BFF-Genso vs Devil Jin | 43–33 | 56.58% |
| BFF-Genso vs Feng | 33–42 | 44.00% |
| BFF-Genso vs Raven | 32–29 | 52.46% |
| BFF-Genso vs Leo | 23–36 | 38.98% |
| BFF-Genso vs Xiaoyu | 29–29 | 50.00% |
| BFF-Genso vs Armor King | 21–28 | 42.86% |
| BFF-Genso vs Miary Zo | 23–25 | 47.92% |
| BFF-Genso vs Jack-8 | 16–30 | 34.78% |
| BFF-Genso vs Leroy | 22–23 | 48.89% |
| BFF-Genso vs Alisa | 17–27 | 38.64% |
| BFF-Genso vs Fahkumram | 18–23 | 43.90% |
| BFF-Genso vs Kuma | 25–8 | 75.76% |
| BFF-Genso vs Claudio | 15–15 | 50.00% |
| BFF-Genso vs Shaheen | 10–14 | 41.67% |
| BFF-Genso vs Anna | 6–12 | 33.33% |
| BFF-Genso vs Panda | 11–6 | 64.71% |
| BFF-Genso vs Zafina | 6–10 | 37.50% |
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.