| B4ngher4ng vs Kazuya | 40–63 | 38.83% |
| B4ngher4ng vs Bryan | 44–41 | 51.76% |
| B4ngher4ng vs Jin | 32–47 | 40.51% |
| B4ngher4ng vs Steve | 38–40 | 48.72% |
| B4ngher4ng vs Heihachi | 37–40 | 48.05% |
| B4ngher4ng vs King | 27–36 | 42.86% |
| B4ngher4ng vs Armor King | 37–26 | 58.73% |
| B4ngher4ng vs Hwoarang | 27–28 | 49.09% |
| B4ngher4ng vs Paul | 23–31 | 42.59% |
| B4ngher4ng vs Dragunov | 23–23 | 50.00% |
| B4ngher4ng vs Law | 19–23 | 45.24% |
| B4ngher4ng vs Reina | 25–17 | 59.52% |
| B4ngher4ng vs Eddy | 17–21 | 44.74% |
| B4ngher4ng vs Jun | 15–21 | 41.67% |
| B4ngher4ng vs Xiaoyu | 15–20 | 42.86% |
| B4ngher4ng vs Lili | 16–17 | 48.48% |
| B4ngher4ng vs Devil Jin | 15–17 | 46.88% |
| B4ngher4ng vs Lars | 17–15 | 53.12% |
| B4ngher4ng vs Nina | 10–21 | 32.26% |
| B4ngher4ng vs Yoshimitsu | 15–14 | 51.72% |
| B4ngher4ng vs Azucena | 10–17 | 37.04% |
| B4ngher4ng vs Asuka | 10–16 | 38.46% |
| B4ngher4ng vs Fahkumram | 12–12 | 50.00% |
| B4ngher4ng vs Feng | 7–16 | 30.43% |
| B4ngher4ng vs Lidia | 7–13 | 35.00% |
| B4ngher4ng vs Lee | 10–9 | 52.63% |
| B4ngher4ng vs Alisa | 9–8 | 52.94% |
| B4ngher4ng vs Jack-8 | 5–11 | 31.25% |
| B4ngher4ng vs Victor | 9–6 | 60.00% |
| B4ngher4ng vs Clive | 4–11 | 26.67% |
| B4ngher4ng vs Anna | 7–7 | 50.00% |
| B4ngher4ng vs Claudio | 5–7 | 41.67% |
| B4ngher4ng vs Kuma | 2–8 | 20.00% |
| B4ngher4ng vs Raven | 2–7 | 22.22% |
| B4ngher4ng vs Shaheen | 3–5 | 37.50% |
| B4ngher4ng vs Leroy | 5–1 | 83.33% |
| B4ngher4ng vs Leo | 2–3 | 40.00% |
| B4ngher4ng vs Panda | 2–2 | 50.00% |
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.