| Hxs1 vs Jin | 42–28 | 60.00% |
| Hxs1 vs King | 31–32 | 49.21% |
| Hxs1 vs Law | 34–21 | 61.82% |
| Hxs1 vs Kazuya | 22–26 | 45.83% |
| Hxs1 vs Armor King | 17–25 | 40.48% |
| Hxs1 vs Steve | 17–16 | 51.52% |
| Hxs1 vs Fahkumram | 15–9 | 62.50% |
| Hxs1 vs Hwoarang | 12–11 | 52.17% |
| Hxs1 vs Dragunov | 11–12 | 47.83% |
| Hxs1 vs Bryan | 8–14 | 36.36% |
| Hxs1 vs Azucena | 12–10 | 54.55% |
| Hxs1 vs Reina | 12–7 | 63.16% |
| Hxs1 vs Yoshimitsu | 12–6 | 66.67% |
| Hxs1 vs Lili | 10–7 | 58.82% |
| Hxs1 vs Alisa | 8–9 | 47.06% |
| Hxs1 vs Heihachi | 4–12 | 25.00% |
| Hxs1 vs Lee | 8–7 | 53.33% |
| Hxs1 vs Clive | 7–7 | 50.00% |
| Hxs1 vs Paul | 6–7 | 46.15% |
| Hxs1 vs Devil Jin | 6–5 | 54.55% |
| Hxs1 vs Jun | 8–3 | 72.73% |
| Hxs1 vs Asuka | 3–7 | 30.00% |
| Hxs1 vs Eddy | 4–6 | 40.00% |
| Hxs1 vs Lars | 1–8 | 11.11% |
| Hxs1 vs Miary Zo | 5–4 | 55.56% |
| Hxs1 vs Feng | 2–4 | 33.33% |
| Hxs1 vs Nina | 2–4 | 33.33% |
| Hxs1 vs Lidia | 4–2 | 66.67% |
| Hxs1 vs Xiaoyu | 2–3 | 40.00% |
| Hxs1 vs Leo | 1–4 | 20.00% |
| Hxs1 vs Claudio | 3–2 | 60.00% |
| Hxs1 vs Shaheen | 4–1 | 80.00% |
| Hxs1 vs Kuma | 1–4 | 20.00% |
| Hxs1 vs Victor | 2–3 | 40.00% |
| Hxs1 vs Jack-8 | 2–2 | 50.00% |
| Hxs1 vs Anna | 2–1 | 66.67% |
| Hxs1 vs Panda | 1–0 | 100.00% |
| Hxs1 vs Zafina | 1–0 | 100.00% |
| Hxs1 vs Raven | 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.