| Habibi vs Hwoarang | 22–22 | 50.00% |
| Habibi vs Kazuya | 30–10 | 75.00% |
| Habibi vs Bryan | 18–14 | 56.25% |
| Habibi vs Jin | 11–18 | 37.93% |
| Habibi vs Lars | 16–12 | 57.14% |
| Habibi vs Paul | 16–11 | 59.26% |
| Habibi vs Asuka | 12–11 | 52.17% |
| Habibi vs Steve | 12–10 | 54.55% |
| Habibi vs Dragunov | 11–8 | 57.89% |
| Habibi vs Lee | 9–10 | 47.37% |
| Habibi vs Reina | 12–7 | 63.16% |
| Habibi vs Leroy | 9–9 | 50.00% |
| Habibi vs Law | 11–6 | 64.71% |
| Habibi vs Yoshimitsu | 7–10 | 41.18% |
| Habibi vs Jack-8 | 12–5 | 70.59% |
| Habibi vs King | 9–7 | 56.25% |
| Habibi vs Lili | 8–8 | 50.00% |
| Habibi vs Azucena | 9–5 | 64.29% |
| Habibi vs Victor | 5–9 | 35.71% |
| Habibi vs Eddy | 10–4 | 71.43% |
| Habibi vs Heihachi | 4–10 | 28.57% |
| Habibi vs Devil Jin | 5–6 | 45.45% |
| Habibi vs Leo | 6–5 | 54.55% |
| Habibi vs Nina | 5–6 | 45.45% |
| Habibi vs Clive | 3–8 | 27.27% |
| Habibi vs Feng | 4–6 | 40.00% |
| Habibi vs Jun | 6–3 | 66.67% |
| Habibi vs Lidia | 4–5 | 44.44% |
| Habibi vs Fahkumram | 1–8 | 11.11% |
| Habibi vs Alisa | 5–3 | 62.50% |
| Habibi vs Raven | 5–2 | 71.43% |
| Habibi vs Armor King | 2–5 | 28.57% |
| Habibi vs Kuma | 3–2 | 60.00% |
| Habibi vs Xiaoyu | 0–4 | 0.00% |
| Habibi vs Zafina | 3–1 | 75.00% |
| Habibi vs Claudio | 1–2 | 33.33% |
| Habibi vs Shaheen | 2–0 | 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.