| HUGSANDK1SSES vs Kazuya | 35–39 | 47.30% |
| HUGSANDK1SSES vs Steve | 19–30 | 38.78% |
| HUGSANDK1SSES vs Jin | 28–19 | 59.57% |
| HUGSANDK1SSES vs King | 25–21 | 54.35% |
| HUGSANDK1SSES vs Reina | 23–22 | 51.11% |
| HUGSANDK1SSES vs Azucena | 23–20 | 53.49% |
| HUGSANDK1SSES vs Law | 28–14 | 66.67% |
| HUGSANDK1SSES vs Dragunov | 15–22 | 40.54% |
| HUGSANDK1SSES vs Yoshimitsu | 10–26 | 27.78% |
| HUGSANDK1SSES vs Lili | 16–20 | 44.44% |
| HUGSANDK1SSES vs Eddy | 13–23 | 36.11% |
| HUGSANDK1SSES vs Asuka | 18–14 | 56.25% |
| HUGSANDK1SSES vs Bryan | 8–17 | 32.00% |
| HUGSANDK1SSES vs Victor | 11–12 | 47.83% |
| HUGSANDK1SSES vs Alisa | 7–15 | 31.82% |
| HUGSANDK1SSES vs Hwoarang | 12–9 | 57.14% |
| HUGSANDK1SSES vs Claudio | 7–14 | 33.33% |
| HUGSANDK1SSES vs Xiaoyu | 11–9 | 55.00% |
| HUGSANDK1SSES vs Feng | 10–7 | 58.82% |
| HUGSANDK1SSES vs Lars | 6–11 | 35.29% |
| HUGSANDK1SSES vs Leo | 9–7 | 56.25% |
| HUGSANDK1SSES vs Nina | 4–10 | 28.57% |
| HUGSANDK1SSES vs Lee | 9–4 | 69.23% |
| HUGSANDK1SSES vs Zafina | 4–8 | 33.33% |
| HUGSANDK1SSES vs Jun | 6–6 | 50.00% |
| HUGSANDK1SSES vs Kuma | 7–4 | 63.64% |
| HUGSANDK1SSES vs Raven | 5–6 | 45.45% |
| HUGSANDK1SSES vs Lidia | 5–6 | 45.45% |
| HUGSANDK1SSES vs Paul | 4–6 | 40.00% |
| HUGSANDK1SSES vs Jack-8 | 2–8 | 20.00% |
| HUGSANDK1SSES vs Devil Jin | 1–8 | 11.11% |
| HUGSANDK1SSES vs Leroy | 2–7 | 22.22% |
| HUGSANDK1SSES vs Heihachi | 3–5 | 37.50% |
| HUGSANDK1SSES vs Shaheen | 1–2 | 33.33% |
| HUGSANDK1SSES vs Panda | 2–1 | 66.67% |
| HUGSANDK1SSES vs Miary Zo | 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.