| Biaxin vs Hwoarang | 31–9 | 77.50% |
| Biaxin vs Kazuya | 18–20 | 47.37% |
| Biaxin vs King | 17–15 | 53.12% |
| Biaxin vs Steve | 12–16 | 42.86% |
| Biaxin vs Heihachi | 13–12 | 52.00% |
| Biaxin vs Dragunov | 7–16 | 30.43% |
| Biaxin vs Paul | 10–12 | 45.45% |
| Biaxin vs Jin | 7–14 | 33.33% |
| Biaxin vs Yoshimitsu | 15–5 | 75.00% |
| Biaxin vs Bryan | 7–13 | 35.00% |
| Biaxin vs Reina | 7–13 | 35.00% |
| Biaxin vs Law | 11–8 | 57.89% |
| Biaxin vs Lili | 9–7 | 56.25% |
| Biaxin vs Jun | 6–9 | 40.00% |
| Biaxin vs Fahkumram | 8–7 | 53.33% |
| Biaxin vs Lars | 7–7 | 50.00% |
| Biaxin vs Lee | 2–12 | 14.29% |
| Biaxin vs Eddy | 9–5 | 64.29% |
| Biaxin vs Asuka | 7–6 | 53.85% |
| Biaxin vs Devil Jin | 5–7 | 41.67% |
| Biaxin vs Anna | 4–6 | 40.00% |
| Biaxin vs Alisa | 6–3 | 66.67% |
| Biaxin vs Azucena | 3–6 | 33.33% |
| Biaxin vs Kuma | 5–3 | 62.50% |
| Biaxin vs Zafina | 5–3 | 62.50% |
| Biaxin vs Raven | 3–4 | 42.86% |
| Biaxin vs Clive | 2–5 | 28.57% |
| Biaxin vs Feng | 3–3 | 50.00% |
| Biaxin vs Leo | 1–5 | 16.67% |
| Biaxin vs Xiaoyu | 1–4 | 20.00% |
| Biaxin vs Nina | 5–0 | 100.00% |
| Biaxin vs Victor | 2–3 | 40.00% |
| Biaxin vs Leroy | 2–2 | 50.00% |
| Biaxin vs Claudio | 2–1 | 66.67% |
| Biaxin vs Panda | 3–0 | 100.00% |
| Biaxin vs Lidia | 2–1 | 66.67% |
| Biaxin vs Jack-8 | 1–1 | 50.00% |
| Biaxin vs Shaheen | 0–2 | 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.