| BetaLose vs King | 18–27 | 40.00% |
| BetaLose vs Kazuya | 22–19 | 53.66% |
| BetaLose vs Reina | 22–17 | 56.41% |
| BetaLose vs Dragunov | 15–17 | 46.88% |
| BetaLose vs Paul | 17–14 | 54.84% |
| BetaLose vs Lili | 7–13 | 35.00% |
| BetaLose vs Hwoarang | 3–15 | 16.67% |
| BetaLose vs Bryan | 7–11 | 38.89% |
| BetaLose vs Xiaoyu | 11–5 | 68.75% |
| BetaLose vs Jin | 7–9 | 43.75% |
| BetaLose vs Claudio | 6–10 | 37.50% |
| BetaLose vs Heihachi | 8–7 | 53.33% |
| BetaLose vs Kuma | 8–6 | 57.14% |
| BetaLose vs Fahkumram | 3–11 | 21.43% |
| BetaLose vs Steve | 9–4 | 69.23% |
| BetaLose vs Devil Jin | 7–5 | 58.33% |
| BetaLose vs Yoshimitsu | 7–3 | 70.00% |
| BetaLose vs Leo | 4–6 | 40.00% |
| BetaLose vs Lidia | 9–1 | 90.00% |
| BetaLose vs Asuka | 6–3 | 66.67% |
| BetaLose vs Leroy | 3–6 | 33.33% |
| BetaLose vs Nina | 3–5 | 37.50% |
| BetaLose vs Lee | 5–3 | 62.50% |
| BetaLose vs Azucena | 4–4 | 50.00% |
| BetaLose vs Victor | 5–3 | 62.50% |
| BetaLose vs Lars | 4–3 | 57.14% |
| BetaLose vs Alisa | 2–5 | 28.57% |
| BetaLose vs Eddy | 0–6 | 0.00% |
| BetaLose vs Feng | 1–4 | 20.00% |
| BetaLose vs Jun | 2–3 | 40.00% |
| BetaLose vs Jack-8 | 1–3 | 25.00% |
| BetaLose vs Shaheen | 2–2 | 50.00% |
| BetaLose vs Panda | 3–1 | 75.00% |
| BetaLose vs Clive | 2–1 | 66.67% |
| BetaLose vs Law | 1–1 | 50.00% |
| BetaLose vs Zafina | 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.