sphere37 vs Reina | 4–3 | 57.14% |
sphere37 vs Hwoarang | 2–2 | 50.00% |
sphere37 vs Lars | 3–1 | 75.00% |
sphere37 vs Alisa | 0–4 | 0.00% |
sphere37 vs Law | 1–2 | 33.33% |
sphere37 vs Yoshimitsu | 2–1 | 66.67% |
sphere37 vs Xiaoyu | 2–1 | 66.67% |
sphere37 vs Jin | 3–0 | 100.00% |
sphere37 vs Lili | 3–0 | 100.00% |
sphere37 vs Dragunov | 2–1 | 66.67% |
sphere37 vs Paul | 2–0 | 100.00% |
sphere37 vs King | 1–1 | 50.00% |
sphere37 vs Jun | 2–0 | 100.00% |
sphere37 vs Victor | 0–2 | 0.00% |
sphere37 vs Eddy | 0–2 | 0.00% |
sphere37 vs Steve | 1–0 | 100.00% |
sphere37 vs Devil Jin | 1–0 | 100.00% |
sphere37 vs Shaheen | 1–0 | 100.00% |
sphere37 vs Nina | 1–0 | 100.00% |
sphere37 vs Lee | 0–1 | 0.00% |
sphere37 vs Leroy | 1–0 | 100.00% |
sphere37 vs Azucena | 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.