| TheProGamer vs Hwoarang | 1–6 | 14.29% |
| TheProGamer vs Reina | 6–1 | 85.71% |
| TheProGamer vs Jin | 1–5 | 16.67% |
| TheProGamer vs King | 2–3 | 40.00% |
| TheProGamer vs Lili | 2–3 | 40.00% |
| TheProGamer vs Kazuya | 1–3 | 25.00% |
| TheProGamer vs Dragunov | 0–4 | 0.00% |
| TheProGamer vs Alisa | 2–2 | 50.00% |
| TheProGamer vs Lidia | 3–1 | 75.00% |
| TheProGamer vs Law | 1–2 | 33.33% |
| TheProGamer vs Xiaoyu | 1–2 | 33.33% |
| TheProGamer vs Lars | 2–1 | 66.67% |
| TheProGamer vs Claudio | 1–2 | 33.33% |
| TheProGamer vs Paul | 0–2 | 0.00% |
| TheProGamer vs Kuma | 0–2 | 0.00% |
| TheProGamer vs Leroy | 0–2 | 0.00% |
| TheProGamer vs Eddy | 0–2 | 0.00% |
| TheProGamer vs Heihachi | 1–1 | 50.00% |
| TheProGamer vs Clive | 2–0 | 100.00% |
| TheProGamer vs Bryan | 0–1 | 0.00% |
| TheProGamer vs Steve | 0–1 | 0.00% |
| TheProGamer vs Shaheen | 0–1 | 0.00% |
| TheProGamer vs Victor | 0–1 | 0.00% |
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.