| hurtysquirty vs Dragunov | 24–17 | 58.54% |
| hurtysquirty vs King | 15–17 | 46.88% |
| hurtysquirty vs Kazuya | 11–17 | 39.29% |
| hurtysquirty vs Jin | 10–12 | 45.45% |
| hurtysquirty vs Azucena | 15–6 | 71.43% |
| hurtysquirty vs Bryan | 10–10 | 50.00% |
| hurtysquirty vs Heihachi | 11–9 | 55.00% |
| hurtysquirty vs Paul | 9–9 | 50.00% |
| hurtysquirty vs Reina | 11–6 | 64.71% |
| hurtysquirty vs Feng | 7–9 | 43.75% |
| hurtysquirty vs Hwoarang | 6–9 | 40.00% |
| hurtysquirty vs Victor | 8–7 | 53.33% |
| hurtysquirty vs Xiaoyu | 8–4 | 66.67% |
| hurtysquirty vs Steve | 6–6 | 50.00% |
| hurtysquirty vs Law | 8–3 | 72.73% |
| hurtysquirty vs Yoshimitsu | 6–5 | 54.55% |
| hurtysquirty vs Devil Jin | 2–8 | 20.00% |
| hurtysquirty vs Eddy | 6–4 | 60.00% |
| hurtysquirty vs Kuma | 3–6 | 33.33% |
| hurtysquirty vs Lili | 2–5 | 28.57% |
| hurtysquirty vs Alisa | 4–3 | 57.14% |
| hurtysquirty vs Nina | 4–3 | 57.14% |
| hurtysquirty vs Claudio | 2–3 | 40.00% |
| hurtysquirty vs Shaheen | 3–2 | 60.00% |
| hurtysquirty vs Zafina | 3–2 | 60.00% |
| hurtysquirty vs Raven | 3–2 | 60.00% |
| hurtysquirty vs Panda | 4–0 | 100.00% |
| hurtysquirty vs Leroy | 1–2 | 33.33% |
| hurtysquirty vs Lars | 1–1 | 50.00% |
| hurtysquirty vs Jun | 1–1 | 50.00% |
| hurtysquirty vs Lidia | 2–0 | 100.00% |
| hurtysquirty vs Lee | 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.