| Hxson vs Kazuya | 35–15 | 70.00% |
| Hxson vs Jin | 31–11 | 73.81% |
| Hxson vs Law | 22–4 | 84.62% |
| Hxson vs King | 21–5 | 80.77% |
| Hxson vs Bryan | 18–7 | 72.00% |
| Hxson vs Paul | 13–5 | 72.22% |
| Hxson vs Lili | 14–3 | 82.35% |
| Hxson vs Dragunov | 10–7 | 58.82% |
| Hxson vs Reina | 9–6 | 60.00% |
| Hxson vs Steve | 10–4 | 71.43% |
| Hxson vs Azucena | 10–3 | 76.92% |
| Hxson vs Yoshimitsu | 8–4 | 66.67% |
| Hxson vs Devil Jin | 11–1 | 91.67% |
| Hxson vs Nina | 10–0 | 100.00% |
| Hxson vs Eddy | 7–3 | 70.00% |
| Hxson vs Lee | 9–0 | 100.00% |
| Hxson vs Asuka | 7–1 | 87.50% |
| Hxson vs Lars | 6–2 | 75.00% |
| Hxson vs Victor | 7–1 | 87.50% |
| Hxson vs Armor King | 5–3 | 62.50% |
| Hxson vs Feng | 4–3 | 57.14% |
| Hxson vs Shaheen | 5–2 | 71.43% |
| Hxson vs Alisa | 4–2 | 66.67% |
| Hxson vs Fahkumram | 3–3 | 50.00% |
| Hxson vs Heihachi | 4–1 | 80.00% |
| Hxson vs Hwoarang | 1–3 | 25.00% |
| Hxson vs Xiaoyu | 0–4 | 0.00% |
| Hxson vs Leo | 2–2 | 50.00% |
| Hxson vs Kuma | 4–0 | 100.00% |
| Hxson vs Claudio | 2–1 | 66.67% |
| Hxson vs Panda | 2–1 | 66.67% |
| Hxson vs Jun | 3–0 | 100.00% |
| Hxson vs Miary Zo | 1–2 | 33.33% |
| Hxson vs Zafina | 2–0 | 100.00% |
| Hxson vs Leroy | 2–0 | 100.00% |
| Hxson vs Anna | 2–0 | 100.00% |
| Hxson vs Jack-8 | 0–1 | 0.00% |
| Hxson vs Raven | 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.