| bee_ vs King | 110–84 | 56.70% |
| bee_ vs Hwoarang | 100–83 | 54.64% |
| bee_ vs Kazuya | 88–92 | 48.89% |
| bee_ vs Jin | 92–72 | 56.10% |
| bee_ vs Yoshimitsu | 81–69 | 54.00% |
| bee_ vs Law | 93–54 | 63.27% |
| bee_ vs Bryan | 78–65 | 54.55% |
| bee_ vs Reina | 66–67 | 49.62% |
| bee_ vs Lili | 59–70 | 45.74% |
| bee_ vs Steve | 57–62 | 47.90% |
| bee_ vs Dragunov | 65–51 | 56.03% |
| bee_ vs Asuka | 54–44 | 55.10% |
| bee_ vs Lee | 44–47–1 | 48.35% |
| bee_ vs Paul | 44–47 | 48.35% |
| bee_ vs Azucena | 41–46 | 47.13% |
| bee_ vs Jun | 45–40 | 52.94% |
| bee_ vs Victor | 43–37 | 53.75% |
| bee_ vs Lars | 43–31 | 58.11% |
| bee_ vs Devil Jin | 33–40 | 45.21% |
| bee_ vs Xiaoyu | 32–39 | 45.07% |
| bee_ vs Leo | 35–33 | 51.47% |
| bee_ vs Nina | 32–26 | 55.17% |
| bee_ vs Feng | 27–28 | 49.09% |
| bee_ vs Eddy | 23–25 | 47.92% |
| bee_ vs Raven | 30–14 | 68.18% |
| bee_ vs Leroy | 19–24 | 44.19% |
| bee_ vs Jack-8 | 20–21 | 48.78% |
| bee_ vs Alisa | 20–21 | 48.78% |
| bee_ vs Claudio | 19–20 | 48.72% |
| bee_ vs Heihachi | 18–19 | 48.65% |
| bee_ vs Zafina | 17–19 | 47.22% |
| bee_ vs Lidia | 18–17 | 51.43% |
| bee_ vs Shaheen | 11–19 | 36.67% |
| bee_ vs Kuma | 12–16 | 42.86% |
| bee_ vs Panda | 6–7 | 46.15% |
| bee_ vs Clive | 5–8 | 38.46% |
| bee_ vs Fahkumram | 4–4 | 50.00% |
| bee_ vs Anna | 2–3 | 40.00% |
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.