| EatingBeanzz vs Hwoarang | 21–22 | 48.84% |
| EatingBeanzz vs Kazuya | 23–12 | 65.71% |
| EatingBeanzz vs King | 15–15 | 50.00% |
| EatingBeanzz vs Miary Zo | 19–11 | 63.33% |
| EatingBeanzz vs Bryan | 17–11 | 60.71% |
| EatingBeanzz vs Steve | 20–8 | 71.43% |
| EatingBeanzz vs Azucena | 15–11 | 57.69% |
| EatingBeanzz vs Jin | 12–12 | 50.00% |
| EatingBeanzz vs Armor King | 11–11 | 50.00% |
| EatingBeanzz vs Heihachi | 7–14 | 33.33% |
| EatingBeanzz vs Jun | 13–7 | 65.00% |
| EatingBeanzz vs Reina | 11–9 | 55.00% |
| EatingBeanzz vs Victor | 12–6 | 66.67% |
| EatingBeanzz vs Dragunov | 9–8 | 52.94% |
| EatingBeanzz vs Law | 9–7 | 56.25% |
| EatingBeanzz vs Xiaoyu | 9–7 | 56.25% |
| EatingBeanzz vs Lee | 8–8 | 50.00% |
| EatingBeanzz vs Asuka | 5–9 | 35.71% |
| EatingBeanzz vs Fahkumram | 7–6 | 53.85% |
| EatingBeanzz vs Lili | 8–3 | 72.73% |
| EatingBeanzz vs Raven | 5–6 | 45.45% |
| EatingBeanzz vs Nina | 4–6 | 40.00% |
| EatingBeanzz vs Clive | 5–4 | 55.56% |
| EatingBeanzz vs Jack-8 | 3–4 | 42.86% |
| EatingBeanzz vs Lidia | 2–5 | 28.57% |
| EatingBeanzz vs Lars | 3–3 | 50.00% |
| EatingBeanzz vs Shaheen | 1–5 | 16.67% |
| EatingBeanzz vs Eddy | 3–3 | 50.00% |
| EatingBeanzz vs Anna | 5–1 | 83.33% |
| EatingBeanzz vs Yoshimitsu | 3–2 | 60.00% |
| EatingBeanzz vs Devil Jin | 0–5 | 0.00% |
| EatingBeanzz vs Paul | 3–1 | 75.00% |
| EatingBeanzz vs Alisa | 2–2 | 50.00% |
| EatingBeanzz vs Kuma | 1–2 | 33.33% |
| EatingBeanzz vs Leroy | 2–1 | 66.67% |
| EatingBeanzz vs Feng | 2–0 | 100.00% |
| EatingBeanzz vs Claudio | 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.