| HopKick vs Bryan | 7–4 | 63.64% |
| HopKick vs Reina | 4–5 | 44.44% |
| HopKick vs Hwoarang | 6–1 | 85.71% |
| HopKick vs Kazuya | 4–2 | 66.67% |
| HopKick vs Feng | 6–0 | 100.00% |
| HopKick vs Dragunov | 4–1 | 80.00% |
| HopKick vs Lidia | 2–3 | 40.00% |
| HopKick vs Heihachi | 3–2 | 60.00% |
| HopKick vs Jin | 4–0 | 100.00% |
| HopKick vs King | 2–1 | 66.67% |
| HopKick vs Asuka | 2–1 | 66.67% |
| HopKick vs Devil Jin | 0–3 | 0.00% |
| HopKick vs Lars | 1–2 | 33.33% |
| HopKick vs Alisa | 2–1 | 66.67% |
| HopKick vs Shaheen | 2–1 | 66.67% |
| HopKick vs Law | 2–0 | 100.00% |
| HopKick vs Xiaoyu | 2–0 | 100.00% |
| HopKick vs Lee | 0–2 | 0.00% |
| HopKick vs Azucena | 2–0 | 100.00% |
| HopKick vs Victor | 0–2 | 0.00% |
| HopKick vs Paul | 1–0 | 100.00% |
| HopKick vs Steve | 0–1 | 0.00% |
| HopKick vs Lili | 1–0 | 100.00% |
| HopKick vs Jun | 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.