| UnFuNdAmEnTaLs vs Law | 10–1 | 90.91% |
| UnFuNdAmEnTaLs vs Jin | 9–2 | 81.82% |
| UnFuNdAmEnTaLs vs Kazuya | 7–3 | 70.00% |
| UnFuNdAmEnTaLs vs Armor King | 7–2 | 77.78% |
| UnFuNdAmEnTaLs vs Asuka | 8–0 | 100.00% |
| UnFuNdAmEnTaLs vs Eddy | 6–1 | 85.71% |
| UnFuNdAmEnTaLs vs Heihachi | 7–0 | 100.00% |
| UnFuNdAmEnTaLs vs Hwoarang | 4–2 | 66.67% |
| UnFuNdAmEnTaLs vs Feng | 6–0 | 100.00% |
| UnFuNdAmEnTaLs vs Dragunov | 6–0 | 100.00% |
| UnFuNdAmEnTaLs vs Lidia | 4–2 | 66.67% |
| UnFuNdAmEnTaLs vs Bryan | 4–1 | 80.00% |
| UnFuNdAmEnTaLs vs Steve | 3–2 | 60.00% |
| UnFuNdAmEnTaLs vs Reina | 4–1 | 80.00% |
| UnFuNdAmEnTaLs vs Raven | 4–1 | 80.00% |
| UnFuNdAmEnTaLs vs King | 4–0 | 100.00% |
| UnFuNdAmEnTaLs vs Jack-8 | 3–1 | 75.00% |
| UnFuNdAmEnTaLs vs Lars | 4–0 | 100.00% |
| UnFuNdAmEnTaLs vs Alisa | 4–0 | 100.00% |
| UnFuNdAmEnTaLs vs Lee | 2–1 | 66.67% |
| UnFuNdAmEnTaLs vs Leroy | 2–1 | 66.67% |
| UnFuNdAmEnTaLs vs Victor | 1–2 | 33.33% |
| UnFuNdAmEnTaLs vs Miary Zo | 3–0 | 100.00% |
| UnFuNdAmEnTaLs vs Yoshimitsu | 2–0 | 100.00% |
| UnFuNdAmEnTaLs vs Claudio | 2–0 | 100.00% |
| UnFuNdAmEnTaLs vs Nina | 2–0 | 100.00% |
| UnFuNdAmEnTaLs vs Azucena | 2–0 | 100.00% |
| UnFuNdAmEnTaLs vs Clive | 2–0 | 100.00% |
| UnFuNdAmEnTaLs vs Lili | 1–0 | 100.00% |
| UnFuNdAmEnTaLs vs Leo | 1–0 | 100.00% |
| UnFuNdAmEnTaLs vs Fahkumram | 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.