INeedGlitch2Win vs Eddy | 4–7 | 36.36% |
INeedGlitch2Win vs King | 3–7 | 30.00% |
INeedGlitch2Win vs Hwoarang | 6–4 | 60.00% |
INeedGlitch2Win vs Jun | 2–6 | 25.00% |
INeedGlitch2Win vs Reina | 5–3 | 62.50% |
INeedGlitch2Win vs Leo | 5–1 | 83.33% |
INeedGlitch2Win vs Yoshimitsu | 2–3 | 40.00% |
INeedGlitch2Win vs Xiaoyu | 3–2 | 60.00% |
INeedGlitch2Win vs Bryan | 1–4 | 20.00% |
INeedGlitch2Win vs Jin | 2–2 | 50.00% |
INeedGlitch2Win vs Kazuya | 2–2 | 50.00% |
INeedGlitch2Win vs Steve | 2–1 | 66.67% |
INeedGlitch2Win vs Feng | 1–2 | 33.33% |
INeedGlitch2Win vs Alisa | 1–2 | 33.33% |
INeedGlitch2Win vs Raven | 2–1 | 66.67% |
INeedGlitch2Win vs Paul | 2–0 | 100.00% |
INeedGlitch2Win vs Law | 1–1 | 50.00% |
INeedGlitch2Win vs Devil Jin | 2–0 | 100.00% |
INeedGlitch2Win vs Lili | 0–2 | 0.00% |
INeedGlitch2Win vs Nina | 0–2 | 0.00% |
INeedGlitch2Win vs Azucena | 2–0 | 100.00% |
INeedGlitch2Win vs Lars | 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.