| Tekken Cafe vs King | 5–1 | 83.33% |
| Tekken Cafe vs Hwoarang | 4–2 | 66.67% |
| Tekken Cafe vs Steve | 3–2 | 60.00% |
| Tekken Cafe vs Lee | 5–0 | 100.00% |
| Tekken Cafe vs Dragunov | 1–2 | 33.33% |
| Tekken Cafe vs Nina | 2–1 | 66.67% |
| Tekken Cafe vs Leroy | 2–1 | 66.67% |
| Tekken Cafe vs Jun | 2–1 | 66.67% |
| Tekken Cafe vs Reina | 0–3 | 0.00% |
| Tekken Cafe vs Azucena | 0–3 | 0.00% |
| Tekken Cafe vs Eddy | 2–1 | 66.67% |
| Tekken Cafe vs Jin | 0–2 | 0.00% |
| Tekken Cafe vs Lars | 2–0 | 100.00% |
| Tekken Cafe vs Victor | 0–2 | 0.00% |
| Tekken Cafe vs Heihachi | 2–0 | 100.00% |
| Tekken Cafe vs Paul | 0–1 | 0.00% |
| Tekken Cafe vs Yoshimitsu | 1–0 | 100.00% |
| Tekken Cafe vs Lili | 1–0 | 100.00% |
| Tekken Cafe vs Lidia | 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.