| Hustlehard_K vs Victor | 19–9 | 67.86% |
| Hustlehard_K vs Law | 17–10 | 62.96% |
| Hustlehard_K vs Kazuya | 16–9 | 64.00% |
| Hustlehard_K vs Jin | 19–5 | 79.17% |
| Hustlehard_K vs Hwoarang | 10–12 | 45.45% |
| Hustlehard_K vs Steve | 16–4 | 80.00% |
| Hustlehard_K vs King | 8–10 | 44.44% |
| Hustlehard_K vs Bryan | 13–5 | 72.22% |
| Hustlehard_K vs Yoshimitsu | 10–6 | 62.50% |
| Hustlehard_K vs Nina | 10–5 | 66.67% |
| Hustlehard_K vs Reina | 9–6 | 60.00% |
| Hustlehard_K vs Azucena | 9–6 | 60.00% |
| Hustlehard_K vs Dragunov | 10–4 | 71.43% |
| Hustlehard_K vs Lee | 10–4 | 71.43% |
| Hustlehard_K vs Lars | 11–2 | 84.62% |
| Hustlehard_K vs Feng | 9–2 | 81.82% |
| Hustlehard_K vs Xiaoyu | 5–5 | 50.00% |
| Hustlehard_K vs Asuka | 7–3 | 70.00% |
| Hustlehard_K vs Eddy | 6–4 | 60.00% |
| Hustlehard_K vs Lili | 2–7 | 22.22% |
| Hustlehard_K vs Raven | 5–4 | 55.56% |
| Hustlehard_K vs Paul | 4–3 | 57.14% |
| Hustlehard_K vs Jack-8 | 2–4 | 33.33% |
| Hustlehard_K vs Devil Jin | 5–1 | 83.33% |
| Hustlehard_K vs Alisa | 2–3 | 40.00% |
| Hustlehard_K vs Shaheen | 3–2 | 60.00% |
| Hustlehard_K vs Jun | 1–3 | 25.00% |
| Hustlehard_K vs Claudio | 0–3 | 0.00% |
| Hustlehard_K vs Leo | 0–2 | 0.00% |
| Hustlehard_K vs Kuma | 1–1 | 50.00% |
| Hustlehard_K vs Panda | 0–2 | 0.00% |
| Hustlehard_K vs Leroy | 2–0 | 100.00% |
| Hustlehard_K vs Lidia | 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.