| unbid vs Lars | 5–4 | 55.56% |
| unbid vs Anna | 6–3 | 66.67% |
| unbid vs Clive | 6–2 | 75.00% |
| unbid vs Asuka | 2–2 | 50.00% |
| unbid vs Eddy | 2–2 | 50.00% |
| unbid vs Jin | 1–2 | 33.33% |
| unbid vs Steve | 2–1 | 66.67% |
| unbid vs Jun | 3–0 | 100.00% |
| unbid vs Victor | 1–2 | 33.33% |
| unbid vs Raven | 3–0 | 100.00% |
| unbid vs Heihachi | 2–1 | 66.67% |
| unbid vs Feng | 0–2 | 0.00% |
| unbid vs Lili | 2–0 | 100.00% |
| unbid vs Leo | 0–2 | 0.00% |
| unbid vs Alisa | 0–2 | 0.00% |
| unbid vs Nina | 2–0 | 100.00% |
| unbid vs Leroy | 2–0 | 100.00% |
| unbid vs King | 0–1 | 0.00% |
| unbid vs Bryan | 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.