Name history
| HúłK | |
| NTRL-BoRNKiLLER | |
| Bagyong|paolO | |
| Buhawi | |
| Rampage | |
| Juan Paolo | |
| Sang00niuS_40K |
| HúłK vs King | 37–18 | 67.27% |
| HúłK vs Kazuya | 21–25 | 45.65% |
| HúłK vs Hwoarang | 15–20 | 42.86% |
| HúłK vs Law | 19–12 | 61.29% |
| HúłK vs Jin | 17–14 | 54.84% |
| HúłK vs Steve | 20–11 | 64.52% |
| HúłK vs Bryan | 12–16 | 42.86% |
| HúłK vs Paul | 11–16 | 40.74% |
| HúłK vs Heihachi | 14–12 | 53.85% |
| HúłK vs Armor King | 12–13 | 48.00% |
| HúłK vs Dragunov | 8–15 | 34.78% |
| HúłK vs Clive | 14–8 | 63.64% |
| HúłK vs Lili | 6–15 | 28.57% |
| HúłK vs Eddy | 13–8 | 61.90% |
| HúłK vs Fahkumram | 12–9 | 57.14% |
| HúłK vs Azucena | 6–14 | 30.00% |
| HúłK vs Reina | 12–7 | 63.16% |
| HúłK vs Lee | 8–10 | 44.44% |
| HúłK vs Devil Jin | 7–10 | 41.18% |
| HúłK vs Yoshimitsu | 13–3 | 81.25% |
| HúłK vs Xiaoyu | 7–9 | 43.75% |
| HúłK vs Asuka | 5–9 | 35.71% |
| HúłK vs Nina | 9–4 | 69.23% |
| HúłK vs Jun | 3–9 | 25.00% |
| HúłK vs Victor | 6–6 | 50.00% |
| HúłK vs Lars | 4–7 | 36.36% |
| HúłK vs Alisa | 5–4 | 55.56% |
| HúłK vs Raven | 3–6 | 33.33% |
| HúłK vs Lidia | 4–5 | 44.44% |
| HúłK vs Jack-8 | 1–6 | 14.29% |
| HúłK vs Leroy | 4–3 | 57.14% |
| HúłK vs Feng | 2–4 | 33.33% |
| HúłK vs Anna | 4–2 | 66.67% |
| HúłK vs Leo | 3–2 | 60.00% |
| HúłK vs Claudio | 0–5 | 0.00% |
| HúłK vs Zafina | 1–4 | 20.00% |
| HúłK vs Kuma | 0–1 | 0.00% |
| HúłK vs Miary Zo | 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.