| BlxckHiippy vs King | 20–11 | 64.52% |
| BlxckHiippy vs Jin | 12–8 | 60.00% |
| BlxckHiippy vs Eddy | 7–12 | 36.84% |
| BlxckHiippy vs Lili | 8–9 | 47.06% |
| BlxckHiippy vs Kazuya | 7–9 | 43.75% |
| BlxckHiippy vs Jun | 8–5 | 61.54% |
| BlxckHiippy vs Law | 5–7 | 41.67% |
| BlxckHiippy vs Bryan | 7–5 | 58.33% |
| BlxckHiippy vs Lars | 3–8 | 27.27% |
| BlxckHiippy vs Asuka | 8–2 | 80.00% |
| BlxckHiippy vs Claudio | 6–4 | 60.00% |
| BlxckHiippy vs Azucena | 3–7 | 30.00% |
| BlxckHiippy vs Victor | 7–3 | 70.00% |
| BlxckHiippy vs Xiaoyu | 7–2 | 77.78% |
| BlxckHiippy vs Reina | 7–1 | 87.50% |
| BlxckHiippy vs Paul | 6–1 | 85.71% |
| BlxckHiippy vs Hwoarang | 5–2 | 71.43% |
| BlxckHiippy vs Steve | 7–0 | 100.00% |
| BlxckHiippy vs Feng | 3–4 | 42.86% |
| BlxckHiippy vs Dragunov | 5–2 | 71.43% |
| BlxckHiippy vs Lee | 6–0 | 100.00% |
| BlxckHiippy vs Leo | 2–3 | 40.00% |
| BlxckHiippy vs Nina | 3–2 | 60.00% |
| BlxckHiippy vs Yoshimitsu | 3–1 | 75.00% |
| BlxckHiippy vs Kuma | 1–3 | 25.00% |
| BlxckHiippy vs Leroy | 2–1 | 66.67% |
| BlxckHiippy vs Lidia | 2–1 | 66.67% |
| BlxckHiippy vs Alisa | 2–0 | 100.00% |
| BlxckHiippy vs Shaheen | 2–0 | 100.00% |
| BlxckHiippy vs Heihachi | 2–0 | 100.00% |
| BlxckHiippy vs Devil Jin | 0–1 | 0.00% |
| BlxckHiippy vs Panda | 1–0 | 100.00% |
| BlxckHiippy vs Clive | 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.