| Geosaj vs Kazuya | 2–12 | 14.29% |
| Geosaj vs Lili | 4–5 | 44.44% |
| Geosaj vs Jun | 2–4 | 33.33% |
| Geosaj vs King | 4–2 | 66.67% |
| Geosaj vs Nina | 0–4 | 0.00% |
| Geosaj vs Paul | 2–1 | 66.67% |
| Geosaj vs Jin | 0–3 | 0.00% |
| Geosaj vs Victor | 2–1 | 66.67% |
| Geosaj vs Law | 0–2 | 0.00% |
| Geosaj vs Hwoarang | 2–0 | 100.00% |
| Geosaj vs Steve | 0–2 | 0.00% |
| Geosaj vs Azucena | 2–0 | 100.00% |
| Geosaj vs Eddy | 0–2 | 0.00% |
| Geosaj vs Feng | 0–2 | 0.00% |
| Geosaj vs Lee | 1–0 | 100.00% |
| Geosaj vs Leroy | 0–1 | 0.00% |
| Geosaj vs Devil Jin | 1–0 | 100.00% |
| Geosaj vs Leo | 1–0 | 100.00% |
| Geosaj vs Lidia | 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.