| Habitual7 vs Jin | 18–29 | 38.30% |
| Habitual7 vs King | 10–24 | 29.41% |
| Habitual7 vs Reina | 17–12 | 58.62% |
| Habitual7 vs Steve | 13–10 | 56.52% |
| Habitual7 vs Hwoarang | 9–11 | 45.00% |
| Habitual7 vs Lili | 13–6 | 68.42% |
| Habitual7 vs Law | 5–13 | 27.78% |
| Habitual7 vs Dragunov | 8–10 | 44.44% |
| Habitual7 vs Jun | 7–11 | 38.89% |
| Habitual7 vs Yoshimitsu | 8–9 | 47.06% |
| Habitual7 vs Nina | 8–9 | 47.06% |
| Habitual7 vs Lars | 10–5 | 66.67% |
| Habitual7 vs Raven | 7–8 | 46.67% |
| Habitual7 vs Victor | 3–10 | 23.08% |
| Habitual7 vs Bryan | 6–6 | 50.00% |
| Habitual7 vs Asuka | 5–6 | 45.45% |
| Habitual7 vs Alisa | 6–5 | 54.55% |
| Habitual7 vs Kazuya | 4–6 | 40.00% |
| Habitual7 vs Jack-8 | 1–9 | 10.00% |
| Habitual7 vs Lee | 4–6 | 40.00% |
| Habitual7 vs Eddy | 2–8 | 20.00% |
| Habitual7 vs Clive | 3–7 | 30.00% |
| Habitual7 vs Azucena | 5–4 | 55.56% |
| Habitual7 vs Heihachi | 6–3 | 66.67% |
| Habitual7 vs Devil Jin | 3–5 | 37.50% |
| Habitual7 vs Kuma | 5–3 | 62.50% |
| Habitual7 vs Lidia | 6–1 | 85.71% |
| Habitual7 vs Xiaoyu | 3–3 | 50.00% |
| Habitual7 vs Feng | 3–2 | 60.00% |
| Habitual7 vs Leo | 3–2 | 60.00% |
| Habitual7 vs Leroy | 4–1 | 80.00% |
| Habitual7 vs Paul | 0–4 | 0.00% |
| Habitual7 vs Shaheen | 2–1 | 66.67% |
| Habitual7 vs Zafina | 3–0 | 100.00% |
| Habitual7 vs Anna | 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.