| sigma_b@lls vs Xiaoyu | 2–5 | 28.57% |
| sigma_b@lls vs Hwoarang | 1–5 | 16.67% |
| sigma_b@lls vs Reina | 3–3 | 50.00% |
| sigma_b@lls vs Lili | 3–2 | 60.00% |
| sigma_b@lls vs Lars | 2–3 | 40.00% |
| sigma_b@lls vs Jin | 1–3 | 25.00% |
| sigma_b@lls vs Kazuya | 1–3 | 25.00% |
| sigma_b@lls vs Steve | 0–4 | 0.00% |
| sigma_b@lls vs Leo | 3–1 | 75.00% |
| sigma_b@lls vs Paul | 1–2 | 33.33% |
| sigma_b@lls vs Panda | 2–1 | 66.67% |
| sigma_b@lls vs Yoshimitsu | 0–2 | 0.00% |
| sigma_b@lls vs Bryan | 0–2 | 0.00% |
| sigma_b@lls vs Nina | 0–2 | 0.00% |
| sigma_b@lls vs Kuma | 0–2 | 0.00% |
| sigma_b@lls vs Heihachi | 2–0 | 100.00% |
| sigma_b@lls vs Jack-8 | 1–0 | 100.00% |
| sigma_b@lls vs Dragunov | 0–1 | 0.00% |
| sigma_b@lls vs Alisa | 0–1 | 0.00% |
| sigma_b@lls vs Clive | 0–1 | 0.00% |
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.