| Bayes vs Law | 4–9 | 30.77% |
| Bayes vs King | 6–5 | 54.55% |
| Bayes vs Steve | 3–6 | 33.33% |
| Bayes vs Hwoarang | 4–4 | 50.00% |
| Bayes vs Eddy | 1–7 | 12.50% |
| Bayes vs Clive | 6–2 | 75.00% |
| Bayes vs Xiaoyu | 2–5 | 28.57% |
| Bayes vs Jin | 5–2 | 71.43% |
| Bayes vs Devil Jin | 1–6 | 14.29% |
| Bayes vs Heihachi | 1–6 | 14.29% |
| Bayes vs Paul | 3–2 | 60.00% |
| Bayes vs Lili | 3–2 | 60.00% |
| Bayes vs Lars | 2–2 | 50.00% |
| Bayes vs Azucena | 2–2 | 50.00% |
| Bayes vs Bryan | 0–3 | 0.00% |
| Bayes vs Kazuya | 0–3 | 0.00% |
| Bayes vs Lidia | 1–2 | 33.33% |
| Bayes vs Asuka | 2–0 | 100.00% |
| Bayes vs Leo | 2–0 | 100.00% |
| Bayes vs Nina | 1–1 | 50.00% |
| Bayes vs Reina | 2–0 | 100.00% |
| Bayes vs Victor | 2–0 | 100.00% |
| Bayes vs Jun | 0–1 | 0.00% |
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.