| BBL | Professor vs Hwoarang | 17–10 | 62.96% |
| BBL | Professor vs Jin | 13–14 | 48.15% |
| BBL | Professor vs Nina | 13–13 | 50.00% |
| BBL | Professor vs Bryan | 15–9 | 62.50% |
| BBL | Professor vs Reina | 11–9 | 55.00% |
| BBL | Professor vs Dragunov | 12–7 | 63.16% |
| BBL | Professor vs Steve | 13–5 | 72.22% |
| BBL | Professor vs King | 7–9 | 43.75% |
| BBL | Professor vs Law | 11–4 | 73.33% |
| BBL | Professor vs Xiaoyu | 9–6 | 60.00% |
| BBL | Professor vs Kazuya | 10–4 | 71.43% |
| BBL | Professor vs Yoshimitsu | 9–4 | 69.23% |
| BBL | Professor vs Paul | 6–6 | 50.00% |
| BBL | Professor vs Devil Jin | 4–7 | 36.36% |
| BBL | Professor vs Victor | 5–6 | 45.45% |
| BBL | Professor vs Lidia | 5–6 | 45.45% |
| BBL | Professor vs Leroy | 6–3 | 66.67% |
| BBL | Professor vs Asuka | 7–1 | 87.50% |
| BBL | Professor vs Lee | 3–4 | 42.86% |
| BBL | Professor vs Raven | 3–4 | 42.86% |
| BBL | Professor vs Lars | 1–5 | 16.67% |
| BBL | Professor vs Alisa | 0–6 | 0.00% |
| BBL | Professor vs Claudio | 3–3 | 50.00% |
| BBL | Professor vs Shaheen | 3–3 | 50.00% |
| BBL | Professor vs Zafina | 5–1 | 83.33% |
| BBL | Professor vs Jun | 3–3 | 50.00% |
| BBL | Professor vs Eddy | 3–3 | 50.00% |
| BBL | Professor vs Lili | 2–3 | 40.00% |
| BBL | Professor vs Leo | 2–3 | 40.00% |
| BBL | Professor vs Jack-8 | 1–3 | 25.00% |
| BBL | Professor vs Azucena | 1–3 | 25.00% |
| BBL | Professor vs Panda | 2–1 | 66.67% |
| BBL | Professor vs Feng | 1–1 | 50.00% |
| BBL | Professor vs Heihachi | 1–0 | 100.00% |
| BBL | Professor vs Clive | 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.