| Ggplayer vs Eddy | 8–0 | 100.00% |
| Ggplayer vs Law | 6–0 | 100.00% |
| Ggplayer vs Bryan | 6–0 | 100.00% |
| Ggplayer vs Hwoarang | 4–0 | 100.00% |
| Ggplayer vs Steve | 4–0 | 100.00% |
| Ggplayer vs Paul | 3–0 | 100.00% |
| Ggplayer vs Jun | 2–1 | 66.67% |
| Ggplayer vs Kazuya | 2–0 | 100.00% |
| Ggplayer vs Leo | 2–0 | 100.00% |
| Ggplayer vs Alisa | 2–0 | 100.00% |
| Ggplayer vs Kuma | 1–1 | 50.00% |
| Ggplayer vs Azucena | 2–0 | 100.00% |
| Ggplayer vs Victor | 2–0 | 100.00% |
| Ggplayer vs King | 1–0 | 100.00% |
| Ggplayer vs Yoshimitsu | 1–0 | 100.00% |
| Ggplayer vs Dragunov | 1–0 | 100.00% |
| Ggplayer vs Claudio | 1–0 | 100.00% |
| Ggplayer vs Reina | 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.