| Gokichet gsl vs Hwoarang | 5–5 | 50.00% |
| Gokichet gsl vs Dragunov | 1–5 | 16.67% |
| Gokichet gsl vs Nina | 2–4 | 33.33% |
| Gokichet gsl vs Asuka | 2–3 | 40.00% |
| Gokichet gsl vs Xiaoyu | 2–2 | 50.00% |
| Gokichet gsl vs Steve | 1–2 | 33.33% |
| Gokichet gsl vs Victor | 1–2 | 33.33% |
| Gokichet gsl vs Eddy | 0–3 | 0.00% |
| Gokichet gsl vs Paul | 0–2 | 0.00% |
| Gokichet gsl vs Law | 0–2 | 0.00% |
| Gokichet gsl vs Lili | 0–2 | 0.00% |
| Gokichet gsl vs Leo | 0–2 | 0.00% |
| Gokichet gsl vs Azucena | 0–2 | 0.00% |
| Gokichet gsl vs Fahkumram | 0–2 | 0.00% |
| Gokichet gsl vs King | 0–1 | 0.00% |
| Gokichet gsl vs Yoshimitsu | 0–1 | 0.00% |
| Gokichet gsl vs Reina | 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.