| pleasebuffleroy vs Hwoarang | 12–9 | 57.14% |
| pleasebuffleroy vs King | 8–5 | 61.54% |
| pleasebuffleroy vs Eddy | 5–7 | 41.67% |
| pleasebuffleroy vs Feng | 6–5 | 54.55% |
| pleasebuffleroy vs Miary Zo | 6–5 | 54.55% |
| pleasebuffleroy vs Reina | 4–5 | 44.44% |
| pleasebuffleroy vs Nina | 4–4 | 50.00% |
| pleasebuffleroy vs Leroy | 6–2 | 75.00% |
| pleasebuffleroy vs Leo | 4–3 | 57.14% |
| pleasebuffleroy vs Yoshimitsu | 3–3 | 50.00% |
| pleasebuffleroy vs Jin | 3–3 | 50.00% |
| pleasebuffleroy vs Steve | 3–3 | 50.00% |
| pleasebuffleroy vs Dragunov | 3–3 | 50.00% |
| pleasebuffleroy vs Xiaoyu | 4–1 | 80.00% |
| pleasebuffleroy vs Lili | 1–4 | 20.00% |
| pleasebuffleroy vs Bryan | 1–3 | 25.00% |
| pleasebuffleroy vs Kazuya | 3–1 | 75.00% |
| pleasebuffleroy vs Azucena | 2–2 | 50.00% |
| pleasebuffleroy vs Victor | 2–2 | 50.00% |
| pleasebuffleroy vs Law | 1–2 | 33.33% |
| pleasebuffleroy vs Jack-8 | 2–1 | 66.67% |
| pleasebuffleroy vs Alisa | 1–2 | 33.33% |
| pleasebuffleroy vs Raven | 2–1 | 66.67% |
| pleasebuffleroy vs Asuka | 1–1 | 50.00% |
| pleasebuffleroy vs Devil Jin | 0–2 | 0.00% |
| pleasebuffleroy vs Claudio | 2–0 | 100.00% |
| pleasebuffleroy vs Paul | 1–0 | 100.00% |
| pleasebuffleroy vs Lee | 1–0 | 100.00% |
| pleasebuffleroy vs Lidia | 1–0 | 100.00% |
| pleasebuffleroy vs Clive | 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.