| CHEFBLCK vs Kazuya | 43–31 | 58.11% |
| CHEFBLCK vs Reina | 41–14 | 74.55% |
| CHEFBLCK vs Bryan | 28–24 | 53.85% |
| CHEFBLCK vs Heihachi | 30–11 | 73.17% |
| CHEFBLCK vs King | 23–13 | 63.89% |
| CHEFBLCK vs Jin | 17–19 | 47.22% |
| CHEFBLCK vs Steve | 19–11 | 63.33% |
| CHEFBLCK vs Clive | 20–8 | 71.43% |
| CHEFBLCK vs Devil Jin | 13–14 | 48.15% |
| CHEFBLCK vs Law | 18–8 | 69.23% |
| CHEFBLCK vs Yoshimitsu | 11–13 | 45.83% |
| CHEFBLCK vs Lee | 14–9 | 60.87% |
| CHEFBLCK vs Asuka | 17–5 | 77.27% |
| CHEFBLCK vs Lili | 14–6 | 70.00% |
| CHEFBLCK vs Dragunov | 12–8 | 60.00% |
| CHEFBLCK vs Paul | 9–10 | 47.37% |
| CHEFBLCK vs Hwoarang | 6–12 | 33.33% |
| CHEFBLCK vs Lars | 8–10 | 44.44% |
| CHEFBLCK vs Raven | 9–9 | 50.00% |
| CHEFBLCK vs Eddy | 10–8 | 55.56% |
| CHEFBLCK vs Alisa | 8–8 | 50.00% |
| CHEFBLCK vs Nina | 8–8 | 50.00% |
| CHEFBLCK vs Victor | 13–2 | 86.67% |
| CHEFBLCK vs Feng | 9–4 | 69.23% |
| CHEFBLCK vs Azucena | 9–4 | 69.23% |
| CHEFBLCK vs Xiaoyu | 8–4 | 66.67% |
| CHEFBLCK vs Jun | 7–4 | 63.64% |
| CHEFBLCK vs Zafina | 4–6 | 40.00% |
| CHEFBLCK vs Lidia | 5–5 | 50.00% |
| CHEFBLCK vs Leroy | 6–3 | 66.67% |
| CHEFBLCK vs Leo | 6–2 | 75.00% |
| CHEFBLCK vs Claudio | 3–3 | 50.00% |
| CHEFBLCK vs Shaheen | 3–3 | 50.00% |
| CHEFBLCK vs Jack-8 | 1–3 | 25.00% |
| CHEFBLCK vs Kuma | 2–2 | 50.00% |
| CHEFBLCK vs Panda | 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.