| BIMBA TERIBBILE vs Hwoarang | 19–12 | 61.29% |
| BIMBA TERIBBILE vs Lili | 12–12 | 50.00% |
| BIMBA TERIBBILE vs Azucena | 18–3 | 85.71% |
| BIMBA TERIBBILE vs Jack-8 | 12–8 | 60.00% |
| BIMBA TERIBBILE vs Nina | 8–11 | 42.11% |
| BIMBA TERIBBILE vs Lee | 8–8 | 50.00% |
| BIMBA TERIBBILE vs Jin | 8–7 | 53.33% |
| BIMBA TERIBBILE vs Bryan | 6–6 | 50.00% |
| BIMBA TERIBBILE vs Asuka | 10–2 | 83.33% |
| BIMBA TERIBBILE vs Victor | 7–5 | 58.33% |
| BIMBA TERIBBILE vs Law | 7–4 | 63.64% |
| BIMBA TERIBBILE vs Xiaoyu | 8–3 | 72.73% |
| BIMBA TERIBBILE vs Dragunov | 7–4 | 63.64% |
| BIMBA TERIBBILE vs Eddy | 5–5 | 50.00% |
| BIMBA TERIBBILE vs Kuma | 7–2 | 77.78% |
| BIMBA TERIBBILE vs Steve | 4–4 | 50.00% |
| BIMBA TERIBBILE vs Alisa | 5–3 | 62.50% |
| BIMBA TERIBBILE vs Leo | 7–0 | 100.00% |
| BIMBA TERIBBILE vs Jun | 5–2 | 71.43% |
| BIMBA TERIBBILE vs Raven | 6–1 | 85.71% |
| BIMBA TERIBBILE vs Yoshimitsu | 3–3 | 50.00% |
| BIMBA TERIBBILE vs Devil Jin | 5–0 | 100.00% |
| BIMBA TERIBBILE vs Leroy | 5–0 | 100.00% |
| BIMBA TERIBBILE vs Heihachi | 3–2 | 60.00% |
| BIMBA TERIBBILE vs King | 0–4 | 0.00% |
| BIMBA TERIBBILE vs Kazuya | 2–2 | 50.00% |
| BIMBA TERIBBILE vs Reina | 2–2 | 50.00% |
| BIMBA TERIBBILE vs Feng | 1–2 | 33.33% |
| BIMBA TERIBBILE vs Clive | 2–1 | 66.67% |
| BIMBA TERIBBILE vs Anna | 3–0 | 100.00% |
| BIMBA TERIBBILE vs Paul | 2–0 | 100.00% |
| BIMBA TERIBBILE vs Claudio | 0–2 | 0.00% |
| BIMBA TERIBBILE vs Zafina | 2–0 | 100.00% |
| BIMBA TERIBBILE vs Lidia | 0–2 | 0.00% |
| BIMBA TERIBBILE vs Panda | 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.