| beardy vs King | 28–10 | 73.68% |
| beardy vs Kazuya | 25–13 | 65.79% |
| beardy vs Jin | 22–8 | 73.33% |
| beardy vs Bryan | 22–7 | 75.86% |
| beardy vs Eddy | 18–11 | 62.07% |
| beardy vs Law | 17–6 | 73.91% |
| beardy vs Steve | 16–7 | 69.57% |
| beardy vs Reina | 8–12 | 40.00% |
| beardy vs Lili | 13–5 | 72.22% |
| beardy vs Jun | 10–7 | 58.82% |
| beardy vs Heihachi | 10–7 | 58.82% |
| beardy vs Hwoarang | 12–4 | 75.00% |
| beardy vs Dragunov | 9–7 | 56.25% |
| beardy vs Azucena | 13–3 | 81.25% |
| beardy vs Paul | 11–4 | 73.33% |
| beardy vs Yoshimitsu | 10–5 | 66.67% |
| beardy vs Feng | 10–5 | 66.67% |
| beardy vs Asuka | 9–5 | 64.29% |
| beardy vs Lars | 8–5 | 61.54% |
| beardy vs Victor | 8–5 | 61.54% |
| beardy vs Lee | 9–2 | 81.82% |
| beardy vs Shaheen | 8–2 | 80.00% |
| beardy vs Devil Jin | 3–6 | 33.33% |
| beardy vs Leo | 8–1 | 88.89% |
| beardy vs Xiaoyu | 6–2 | 75.00% |
| beardy vs Claudio | 4–4 | 50.00% |
| beardy vs Nina | 5–2 | 71.43% |
| beardy vs Kuma | 6–1 | 85.71% |
| beardy vs Raven | 2–4 | 33.33% |
| beardy vs Armor King | 5–1 | 83.33% |
| beardy vs Alisa | 4–1 | 80.00% |
| beardy vs Lidia | 2–3 | 40.00% |
| beardy vs Jack-8 | 2–2 | 50.00% |
| beardy vs Clive | 4–0 | 100.00% |
| beardy vs Leroy | 1–2 | 33.33% |
| beardy vs Panda | 0–2 | 0.00% |
| beardy vs Fahkumram | 2–0 | 100.00% |
| beardy vs Anna | 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.