| againstbanter vs Hwoarang | 6–2 | 75.00% |
| againstbanter vs Miary Zo | 7–0 | 100.00% |
| againstbanter vs Yoshimitsu | 5–1 | 83.33% |
| againstbanter vs Eddy | 5–0 | 100.00% |
| againstbanter vs Clive | 5–0 | 100.00% |
| againstbanter vs Reina | 4–0 | 100.00% |
| againstbanter vs Jin | 2–1 | 66.67% |
| againstbanter vs Steve | 2–1 | 66.67% |
| againstbanter vs Lili | 3–0 | 100.00% |
| againstbanter vs Victor | 3–0 | 100.00% |
| againstbanter vs Law | 2–0 | 100.00% |
| againstbanter vs Kazuya | 2–0 | 100.00% |
| againstbanter vs Asuka | 2–0 | 100.00% |
| againstbanter vs Devil Jin | 2–0 | 100.00% |
| againstbanter vs Claudio | 2–0 | 100.00% |
| againstbanter vs Kuma | 2–0 | 100.00% |
| againstbanter vs Heihachi | 2–0 | 100.00% |
| againstbanter vs Paul | 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.