| Banielson vs Reina | 9–12 | 42.86% |
| Banielson vs Dragunov | 6–8 | 42.86% |
| Banielson vs Steve | 3–9 | 25.00% |
| Banielson vs King | 6–4 | 60.00% |
| Banielson vs Lee | 4–6 | 40.00% |
| Banielson vs Jin | 3–6 | 33.33% |
| Banielson vs Clive | 3–6 | 33.33% |
| Banielson vs Kazuya | 6–2 | 75.00% |
| Banielson vs Alisa | 5–3 | 62.50% |
| Banielson vs Jun | 4–4 | 50.00% |
| Banielson vs Law | 2–5 | 28.57% |
| Banielson vs Hwoarang | 1–6 | 14.29% |
| Banielson vs Asuka | 2–4 | 33.33% |
| Banielson vs Lili | 4–2 | 66.67% |
| Banielson vs Heihachi | 1–5 | 16.67% |
| Banielson vs Anna | 1–5 | 16.67% |
| Banielson vs Paul | 3–2 | 60.00% |
| Banielson vs Leroy | 2–3 | 40.00% |
| Banielson vs Victor | 2–3 | 40.00% |
| Banielson vs Lars | 3–1 | 75.00% |
| Banielson vs Eddy | 2–2 | 50.00% |
| Banielson vs Bryan | 1–2 | 33.33% |
| Banielson vs Nina | 1–2 | 33.33% |
| Banielson vs Panda | 1–2 | 33.33% |
| Banielson vs Xiaoyu | 2–0 | 100.00% |
| Banielson vs Jack-8 | 0–2 | 0.00% |
| Banielson vs Devil Jin | 2–0 | 100.00% |
| Banielson vs Feng | 0–2 | 0.00% |
| Banielson vs Shaheen | 2–0 | 100.00% |
| Banielson vs Kuma | 1–1 | 50.00% |
| Banielson vs Azucena | 2–0 | 100.00% |
| Banielson vs Raven | 0–2 | 0.00% |
| Banielson vs Leo | 0–1 | 0.00% |
| Banielson vs Zafina | 0–1 | 0.00% |
| Banielson vs Lidia | 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.