| Bad4Bidness vs Steve | 28–27 | 50.91% |
| Bad4Bidness vs Jin | 18–28 | 39.13% |
| Bad4Bidness vs King | 18–24 | 42.86% |
| Bad4Bidness vs Kazuya | 15–25 | 37.50% |
| Bad4Bidness vs Reina | 17–23 | 42.50% |
| Bad4Bidness vs Hwoarang | 17–21 | 44.74% |
| Bad4Bidness vs Jun | 13–22 | 37.14% |
| Bad4Bidness vs Law | 18–9 | 66.67% |
| Bad4Bidness vs Leroy | 9–15 | 37.50% |
| Bad4Bidness vs Bryan | 12–11 | 52.17% |
| Bad4Bidness vs Asuka | 12–8 | 60.00% |
| Bad4Bidness vs Clive | 14–6 | 70.00% |
| Bad4Bidness vs Leo | 12–6 | 66.67% |
| Bad4Bidness vs Victor | 6–11 | 35.29% |
| Bad4Bidness vs Eddy | 4–13 | 23.53% |
| Bad4Bidness vs Lili | 7–9 | 43.75% |
| Bad4Bidness vs Paul | 7–7 | 50.00% |
| Bad4Bidness vs Xiaoyu | 8–5 | 61.54% |
| Bad4Bidness vs Lars | 0–13 | 0.00% |
| Bad4Bidness vs Alisa | 4–8 | 33.33% |
| Bad4Bidness vs Dragunov | 3–8 | 27.27% |
| Bad4Bidness vs Raven | 8–3 | 72.73% |
| Bad4Bidness vs Feng | 2–8 | 20.00% |
| Bad4Bidness vs Nina | 7–3 | 70.00% |
| Bad4Bidness vs Yoshimitsu | 4–5 | 44.44% |
| Bad4Bidness vs Azucena | 4–5 | 44.44% |
| Bad4Bidness vs Claudio | 3–5 | 37.50% |
| Bad4Bidness vs Shaheen | 5–2 | 71.43% |
| Bad4Bidness vs Jack-8 | 2–4 | 33.33% |
| Bad4Bidness vs Kuma | 1–5 | 16.67% |
| Bad4Bidness vs Heihachi | 0–5 | 0.00% |
| Bad4Bidness vs Lee | 0–4 | 0.00% |
| Bad4Bidness vs Panda | 1–3 | 25.00% |
| Bad4Bidness vs Anna | 1–3 | 25.00% |
| Bad4Bidness vs Devil Jin | 1–2 | 33.33% |
| Bad4Bidness vs Lidia | 0–3 | 0.00% |
| Bad4Bidness vs Zafina | 1–1 | 50.00% |
| Bad4Bidness vs Miary Zo | 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.