Perc4Lunch vs Eddy | 7–6 | 53.85% |
Perc4Lunch vs Kazuya | 8–0 | 100.00% |
Perc4Lunch vs King | 3–4 | 42.86% |
Perc4Lunch vs Steve | 7–0 | 100.00% |
Perc4Lunch vs Jin | 1–5 | 16.67% |
Perc4Lunch vs Bryan | 3–2 | 60.00% |
Perc4Lunch vs Lars | 4–1 | 80.00% |
Perc4Lunch vs Reina | 3–2 | 60.00% |
Perc4Lunch vs Hwoarang | 4–0 | 100.00% |
Perc4Lunch vs Lili | 3–1 | 75.00% |
Perc4Lunch vs Devil Jin | 2–1 | 66.67% |
Perc4Lunch vs Jun | 2–1 | 66.67% |
Perc4Lunch vs Azucena | 2–1 | 66.67% |
Perc4Lunch vs Victor | 3–0 | 100.00% |
Perc4Lunch vs Law | 1–1 | 50.00% |
Perc4Lunch vs Asuka | 2–0 | 100.00% |
Perc4Lunch vs Feng | 2–0 | 100.00% |
Perc4Lunch vs Nina | 1–1 | 50.00% |
Perc4Lunch vs Lidia | 2–0 | 100.00% |
Perc4Lunch vs Yoshimitsu | 0–1 | 0.00% |
Perc4Lunch vs Jack-8 | 0–1 | 0.00% |
Perc4Lunch vs Dragunov | 0–1 | 0.00% |
Perc4Lunch vs Lee | 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.