| The Geek vs Steve | 8–3 | 72.73% |
| The Geek vs Law | 6–4 | 60.00% |
| The Geek vs Victor | 5–5 | 50.00% |
| The Geek vs Yoshimitsu | 4–2 | 66.67% |
| The Geek vs Asuka | 5–1 | 83.33% |
| The Geek vs Devil Jin | 2–4 | 33.33% |
| The Geek vs Leroy | 2–4 | 33.33% |
| The Geek vs King | 2–3 | 40.00% |
| The Geek vs Hwoarang | 4–1 | 80.00% |
| The Geek vs Raven | 2–2 | 50.00% |
| The Geek vs Xiaoyu | 2–1 | 66.67% |
| The Geek vs Lili | 1–2 | 33.33% |
| The Geek vs Lars | 0–3 | 0.00% |
| The Geek vs Nina | 3–0 | 100.00% |
| The Geek vs Reina | 1–2 | 33.33% |
| The Geek vs Eddy | 1–2 | 33.33% |
| The Geek vs Feng | 2–0 | 100.00% |
| The Geek vs Alisa | 1–1 | 50.00% |
| The Geek vs Panda | 1–1 | 50.00% |
| The Geek vs Jin | 0–1 | 0.00% |
| The Geek vs Claudio | 0–1 | 0.00% |
| The Geek vs Shaheen | 1–0 | 100.00% |
| The Geek vs Jun | 0–1 | 0.00% |
| The Geek vs Azucena | 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.