| waytoogeeked vs Steve | 8–1 | 88.89% |
| waytoogeeked vs Lili | 2–4 | 33.33% |
| waytoogeeked vs Lidia | 2–4 | 33.33% |
| waytoogeeked vs King | 3–2 | 60.00% |
| waytoogeeked vs Dragunov | 4–1 | 80.00% |
| waytoogeeked vs Jin | 3–1 | 75.00% |
| waytoogeeked vs Nina | 0–4 | 0.00% |
| waytoogeeked vs Miary Zo | 3–1 | 75.00% |
| waytoogeeked vs Feng | 1–2 | 33.33% |
| waytoogeeked vs Shaheen | 2–1 | 66.67% |
| waytoogeeked vs Victor | 1–2 | 33.33% |
| waytoogeeked vs Fahkumram | 2–1 | 66.67% |
| waytoogeeked vs Paul | 2–0 | 100.00% |
| waytoogeeked vs Hwoarang | 2–0 | 100.00% |
| waytoogeeked vs Xiaoyu | 0–2 | 0.00% |
| waytoogeeked vs Bryan | 0–2 | 0.00% |
| waytoogeeked vs Kazuya | 2–0 | 100.00% |
| waytoogeeked vs Alisa | 2–0 | 100.00% |
| waytoogeeked vs Eddy | 0–2 | 0.00% |
| waytoogeeked vs Anna | 0–2 | 0.00% |
| waytoogeeked vs Devil Jin | 1–0 | 100.00% |
| waytoogeeked vs Lars | 1–0 | 100.00% |
| waytoogeeked vs Claudio | 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.