| Biscuit vs Jin | 37–15 | 71.15% |
| Biscuit vs Kazuya | 25–15 | 62.50% |
| Biscuit vs Hwoarang | 26–13 | 66.67% |
| Biscuit vs Steve | 22–4 | 84.62% |
| Biscuit vs Lee | 14–8 | 63.64% |
| Biscuit vs Paul | 19–2 | 90.48% |
| Biscuit vs Law | 14–7 | 66.67% |
| Biscuit vs King | 16–5 | 76.19% |
| Biscuit vs Dragunov | 13–8 | 61.90% |
| Biscuit vs Bryan | 12–7 | 63.16% |
| Biscuit vs Reina | 13–6 | 68.42% |
| Biscuit vs Eddy | 17–2 | 89.47% |
| Biscuit vs Alisa | 9–8 | 52.94% |
| Biscuit vs Yoshimitsu | 11–5 | 68.75% |
| Biscuit vs Devil Jin | 11–5 | 68.75% |
| Biscuit vs Lili | 12–3 | 80.00% |
| Biscuit vs Lars | 7–8 | 46.67% |
| Biscuit vs Jun | 12–3 | 80.00% |
| Biscuit vs Lidia | 10–4 | 71.43% |
| Biscuit vs Azucena | 7–4 | 63.64% |
| Biscuit vs Feng | 6–4 | 60.00% |
| Biscuit vs Asuka | 9–0 | 100.00% |
| Biscuit vs Claudio | 6–3 | 66.67% |
| Biscuit vs Victor | 5–4 | 55.56% |
| Biscuit vs Leroy | 4–3 | 57.14% |
| Biscuit vs Shaheen | 4–2 | 66.67% |
| Biscuit vs Xiaoyu | 3–2 | 60.00% |
| Biscuit vs Kuma | 3–2 | 60.00% |
| Biscuit vs Raven | 2–3 | 40.00% |
| Biscuit vs Zafina | 1–3 | 25.00% |
| Biscuit vs Jack-8 | 0–3 | 0.00% |
| Biscuit vs Fahkumram | 2–1 | 66.67% |
| Biscuit vs Leo | 1–1 | 50.00% |
| Biscuit vs Nina | 2–0 | 100.00% |
| Biscuit vs Heihachi | 1–1 | 50.00% |
| Biscuit vs Anna | 2–0 | 100.00% |
| Biscuit vs Panda | 1–0 | 100.00% |
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.