| beastslicer vs Heihachi | 42–29 | 59.15% |
| beastslicer vs Bryan | 37–21 | 63.79% |
| beastslicer vs Kazuya | 41–8 | 83.67% |
| beastslicer vs Reina | 30–19 | 61.22% |
| beastslicer vs Jin | 25–20 | 55.56% |
| beastslicer vs Lee | 37–8 | 82.22% |
| beastslicer vs Hwoarang | 26–12 | 68.42% |
| beastslicer vs Yoshimitsu | 23–14 | 62.16% |
| beastslicer vs Steve | 21–15 | 58.33% |
| beastslicer vs Law | 17–16 | 51.52% |
| beastslicer vs Dragunov | 21–10 | 67.74% |
| beastslicer vs Lars | 19–12 | 61.29% |
| beastslicer vs King | 21–8 | 72.41% |
| beastslicer vs Raven | 13–15 | 46.43% |
| beastslicer vs Paul | 21–6 | 77.78% |
| beastslicer vs Devil Jin | 18–9 | 66.67% |
| beastslicer vs Victor | 19–7 | 73.08% |
| beastslicer vs Nina | 19–6 | 76.00% |
| beastslicer vs Lili | 14–10 | 58.33% |
| beastslicer vs Kuma | 12–12 | 50.00% |
| beastslicer vs Xiaoyu | 20–3 | 86.96% |
| beastslicer vs Leo | 14–9 | 60.87% |
| beastslicer vs Jun | 12–11 | 52.17% |
| beastslicer vs Asuka | 17–5 | 77.27% |
| beastslicer vs Azucena | 16–3 | 84.21% |
| beastslicer vs Alisa | 11–7 | 61.11% |
| beastslicer vs Zafina | 5–13 | 27.78% |
| beastslicer vs Fahkumram | 14–3 | 82.35% |
| beastslicer vs Jack-8 | 6–9 | 40.00% |
| beastslicer vs Shaheen | 8–7 | 53.33% |
| beastslicer vs Eddy | 8–5 | 61.54% |
| beastslicer vs Claudio | 9–2 | 81.82% |
| beastslicer vs Leroy | 6–5 | 54.55% |
| beastslicer vs Armor King | 7–4 | 63.64% |
| beastslicer vs Lidia | 8–2 | 80.00% |
| beastslicer vs Anna | 10–0 | 100.00% |
| beastslicer vs Feng | 5–4 | 55.56% |
| beastslicer vs Panda | 4–0 | 100.00% |
| beastslicer vs Clive | 2–1 | 66.67% |
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.