| BeefStroke vs Yoshimitsu | 58–45 | 56.31% |
| BeefStroke vs Asuka | 48–26 | 64.86% |
| BeefStroke vs Bryan | 31–36 | 46.27% |
| BeefStroke vs Kazuya | 29–35 | 45.31% |
| BeefStroke vs Dragunov | 15–48 | 23.81% |
| BeefStroke vs Victor | 26–36 | 41.94% |
| BeefStroke vs Reina | 26–30 | 46.43% |
| BeefStroke vs Jin | 20–24 | 45.45% |
| BeefStroke vs Hwoarang | 17–20 | 45.95% |
| BeefStroke vs Steve | 19–16 | 54.29% |
| BeefStroke vs Lili | 17–18 | 48.57% |
| BeefStroke vs Eddy | 8–25 | 24.24% |
| BeefStroke vs King | 16–11 | 59.26% |
| BeefStroke vs Law | 8–17 | 32.00% |
| BeefStroke vs Xiaoyu | 15–8 | 65.22% |
| BeefStroke vs Paul | 12–7 | 63.16% |
| BeefStroke vs Lars | 10–9 | 52.63% |
| BeefStroke vs Feng | 5–13 | 27.78% |
| BeefStroke vs Kuma | 5–12 | 29.41% |
| BeefStroke vs Alisa | 9–6 | 60.00% |
| BeefStroke vs Leroy | 12–3 | 80.00% |
| BeefStroke vs Devil Jin | 6–6 | 50.00% |
| BeefStroke vs Jun | 6–6 | 50.00% |
| BeefStroke vs Lee | 5–6 | 45.45% |
| BeefStroke vs Nina | 2–6 | 25.00% |
| BeefStroke vs Panda | 3–5 | 37.50% |
| BeefStroke vs Azucena | 3–5 | 37.50% |
| BeefStroke vs Claudio | 2–5 | 28.57% |
| BeefStroke vs Shaheen | 6–1 | 85.71% |
| BeefStroke vs Raven | 5–2 | 71.43% |
| BeefStroke vs Jack-8 | 4–2 | 66.67% |
| BeefStroke vs Zafina | 0–4 | 0.00% |
| BeefStroke vs Leo | 2–1 | 66.67% |
| BeefStroke vs Heihachi | 2–0 | 100.00% |
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.