| HalfBlakeD vs Kazuya | 42–37 | 53.16% |
| HalfBlakeD vs Azucena | 33–38 | 46.48% |
| HalfBlakeD vs Steve | 33–37 | 47.14% |
| HalfBlakeD vs Dragunov | 32–36 | 47.06% |
| HalfBlakeD vs Reina | 38–29 | 56.72% |
| HalfBlakeD vs Hwoarang | 22–37 | 37.29% |
| HalfBlakeD vs King | 32–26 | 55.17% |
| HalfBlakeD vs Paul | 28–27 | 50.91% |
| HalfBlakeD vs Law | 21–31–1 | 40.38% |
| HalfBlakeD vs Lars | 27–26 | 50.94% |
| HalfBlakeD vs Jin | 26–22 | 54.17% |
| HalfBlakeD vs Lee | 30–17 | 63.83% |
| HalfBlakeD vs Heihachi | 21–24 | 46.67% |
| HalfBlakeD vs Lili | 26–15 | 63.41% |
| HalfBlakeD vs Leo | 12–23 | 34.29% |
| HalfBlakeD vs Yoshimitsu | 14–20 | 41.18% |
| HalfBlakeD vs Devil Jin | 16–17 | 48.48% |
| HalfBlakeD vs Victor | 20–13 | 60.61% |
| HalfBlakeD vs Xiaoyu | 13–19 | 40.62% |
| HalfBlakeD vs Bryan | 15–12 | 55.56% |
| HalfBlakeD vs Jun | 13–13 | 50.00% |
| HalfBlakeD vs Alisa | 12–12 | 50.00% |
| HalfBlakeD vs Claudio | 12–11 | 52.17% |
| HalfBlakeD vs Feng | 15–7 | 68.18% |
| HalfBlakeD vs Raven | 12–9 | 57.14% |
| HalfBlakeD vs Eddy | 10–10 | 50.00% |
| HalfBlakeD vs Asuka | 7–11 | 38.89% |
| HalfBlakeD vs Jack-8 | 7–9 | 43.75% |
| HalfBlakeD vs Shaheen | 8–5 | 61.54% |
| HalfBlakeD vs Nina | 7–6 | 53.85% |
| HalfBlakeD vs Kuma | 5–8 | 38.46% |
| HalfBlakeD vs Leroy | 5–8 | 38.46% |
| HalfBlakeD vs Lidia | 4–9 | 30.77% |
| HalfBlakeD vs Anna | 6–7 | 46.15% |
| HalfBlakeD vs Armor King | 8–4 | 66.67% |
| HalfBlakeD vs Zafina | 2–7 | 22.22% |
| HalfBlakeD vs Panda | 3–2 | 60.00% |
| HalfBlakeD vs Fahkumram | 1–3 | 25.00% |
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.