| Bearlixs vs Hwoarang | 20–24 | 45.45% |
| Bearlixs vs Kazuya | 23–20 | 53.49% |
| Bearlixs vs Jin | 22–19 | 53.66% |
| Bearlixs vs Clive | 18–22 | 45.00% |
| Bearlixs vs Reina | 19–11 | 63.33% |
| Bearlixs vs Dragunov | 17–12 | 58.62% |
| Bearlixs vs Eddy | 13–15 | 46.43% |
| Bearlixs vs Lee | 15–12 | 55.56% |
| Bearlixs vs Azucena | 11–13 | 45.83% |
| Bearlixs vs Victor | 9–15 | 37.50% |
| Bearlixs vs Law | 12–9 | 57.14% |
| Bearlixs vs Steve | 15–5 | 75.00% |
| Bearlixs vs Lars | 11–9 | 55.00% |
| Bearlixs vs Jun | 9–11 | 45.00% |
| Bearlixs vs Asuka | 12–6 | 66.67% |
| Bearlixs vs Paul | 10–7 | 58.82% |
| Bearlixs vs King | 11–5 | 68.75% |
| Bearlixs vs Bryan | 11–4 | 73.33% |
| Bearlixs vs Xiaoyu | 6–8 | 42.86% |
| Bearlixs vs Yoshimitsu | 9–4 | 69.23% |
| Bearlixs vs Claudio | 6–7 | 46.15% |
| Bearlixs vs Nina | 8–3 | 72.73% |
| Bearlixs vs Kuma | 6–4 | 60.00% |
| Bearlixs vs Leroy | 10–0 | 100.00% |
| Bearlixs vs Heihachi | 7–3 | 70.00% |
| Bearlixs vs Lili | 3–6 | 33.33% |
| Bearlixs vs Lidia | 4–4 | 50.00% |
| Bearlixs vs Raven | 3–4 | 42.86% |
| Bearlixs vs Leo | 1–5 | 16.67% |
| Bearlixs vs Feng | 0–5 | 0.00% |
| Bearlixs vs Alisa | 2–3 | 40.00% |
| Bearlixs vs Zafina | 3–2 | 60.00% |
| Bearlixs vs Jack-8 | 2–1 | 66.67% |
| Bearlixs vs Devil Jin | 0–2 | 0.00% |
| Bearlixs vs Shaheen | 2–0 | 100.00% |
| Bearlixs vs Panda | 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.