| BEATDOWN vs Clive | 25–3 | 89.29% |
| BEATDOWN vs Kazuya | 14–2 | 87.50% |
| BEATDOWN vs Law | 10–2 | 83.33% |
| BEATDOWN vs King | 7–4 | 63.64% |
| BEATDOWN vs Jin | 8–3 | 72.73% |
| BEATDOWN vs Xiaoyu | 7–3 | 70.00% |
| BEATDOWN vs Lidia | 5–5 | 50.00% |
| BEATDOWN vs Feng | 8–1 | 88.89% |
| BEATDOWN vs Nina | 9–0 | 100.00% |
| BEATDOWN vs Steve | 8–0 | 100.00% |
| BEATDOWN vs Jun | 8–0 | 100.00% |
| BEATDOWN vs Heihachi | 7–1 | 87.50% |
| BEATDOWN vs Yoshimitsu | 6–1 | 85.71% |
| BEATDOWN vs Dragunov | 4–3 | 57.14% |
| BEATDOWN vs Azucena | 6–1 | 85.71% |
| BEATDOWN vs Paul | 3–3 | 50.00% |
| BEATDOWN vs Asuka | 5–1 | 83.33% |
| BEATDOWN vs Lili | 3–3 | 50.00% |
| BEATDOWN vs Claudio | 4–2 | 66.67% |
| BEATDOWN vs Victor | 6–0 | 100.00% |
| BEATDOWN vs Raven | 6–0 | 100.00% |
| BEATDOWN vs Hwoarang | 5–0 | 100.00% |
| BEATDOWN vs Lars | 5–0 | 100.00% |
| BEATDOWN vs Eddy | 2–2 | 50.00% |
| BEATDOWN vs Fahkumram | 3–1 | 75.00% |
| BEATDOWN vs Reina | 3–0 | 100.00% |
| BEATDOWN vs Bryan | 2–0 | 100.00% |
| BEATDOWN vs Devil Jin | 2–0 | 100.00% |
| BEATDOWN vs Alisa | 2–0 | 100.00% |
| BEATDOWN vs Lee | 2–0 | 100.00% |
| BEATDOWN vs Panda | 2–0 | 100.00% |
| BEATDOWN vs Leroy | 0–2 | 0.00% |
| BEATDOWN vs Armor King | 2–0 | 100.00% |
| BEATDOWN vs Jack-8 | 1–0 | 100.00% |
| BEATDOWN vs Leo | 1–0 | 100.00% |
| BEATDOWN vs Shaheen | 1–0 | 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.