| HopKick vs Bryan | 167–124 | 57.39% |
| HopKick vs Kazuya | 172–116 | 59.72% |
| HopKick vs King | 114–111 | 50.67% |
| HopKick vs Heihachi | 107–118 | 47.56% |
| HopKick vs Jin | 105–103 | 50.48% |
| HopKick vs Steve | 115–88 | 56.65% |
| HopKick vs Reina | 97–98 | 49.74% |
| HopKick vs Hwoarang | 114–78 | 59.38% |
| HopKick vs Lee | 101–72 | 58.38% |
| HopKick vs Fahkumram | 84–89 | 48.55% |
| HopKick vs Law | 98–50 | 66.22% |
| HopKick vs Paul | 81–65 | 55.48% |
| HopKick vs Lili | 85–58 | 59.44% |
| HopKick vs Anna | 67–67 | 50.00% |
| HopKick vs Dragunov | 69–63 | 52.27% |
| HopKick vs Armor King | 65–67 | 49.24% |
| HopKick vs Lars | 61–55 | 52.59% |
| HopKick vs Yoshimitsu | 56–52 | 51.85% |
| HopKick vs Jun | 57–49 | 53.77% |
| HopKick vs Azucena | 53–53 | 50.00% |
| HopKick vs Leo | 65–36 | 64.36% |
| HopKick vs Xiaoyu | 46–47 | 49.46% |
| HopKick vs Asuka | 42–51 | 45.16% |
| HopKick vs Lidia | 43–48 | 47.25% |
| HopKick vs Nina | 46–42 | 52.27% |
| HopKick vs Devil Jin | 44–42 | 51.16% |
| HopKick vs Victor | 41–43 | 48.81% |
| HopKick vs Feng | 36–47 | 43.37% |
| HopKick vs Clive | 34–46 | 42.50% |
| HopKick vs Jack-8 | 34–39 | 46.58% |
| HopKick vs Raven | 50–23 | 68.49% |
| HopKick vs Miary Zo | 33–38 | 46.48% |
| HopKick vs Eddy | 33–27 | 55.00% |
| HopKick vs Claudio | 24–30 | 44.44% |
| HopKick vs Leroy | 27–25 | 51.92% |
| HopKick vs Alisa | 29–22 | 56.86% |
| HopKick vs Zafina | 28–21 | 57.14% |
| HopKick vs Kuma | 30–18 | 62.50% |
| HopKick vs Shaheen | 19–22 | 46.34% |
| HopKick vs Panda | 4–6 | 40.00% |
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.