| GeeGee vs Jin | 193–210 | 47.89% |
| GeeGee vs Kazuya | 177–168 | 51.30% |
| GeeGee vs Paul | 111–160 | 40.96% |
| GeeGee vs Bryan | 125–136 | 47.89% |
| GeeGee vs King | 136–113 | 54.62% |
| GeeGee vs Law | 127–118 | 51.84% |
| GeeGee vs Hwoarang | 105–104 | 50.24% |
| GeeGee vs Eddy | 91–88 | 50.84% |
| GeeGee vs Dragunov | 73–94 | 43.71% |
| GeeGee vs Yoshimitsu | 81–78–1 | 50.94% |
| GeeGee vs Steve | 68–91 | 42.77% |
| GeeGee vs Alisa | 77–52 | 59.69% |
| GeeGee vs Lars | 66–60 | 52.38% |
| GeeGee vs Azucena | 55–71 | 43.65% |
| GeeGee vs Lili | 66–56 | 54.10% |
| GeeGee vs Feng | 51–70 | 42.15% |
| GeeGee vs Nina | 64–55 | 53.78% |
| GeeGee vs Victor | 72–46 | 61.02% |
| GeeGee vs Asuka | 53–61 | 46.49% |
| GeeGee vs Xiaoyu | 57–46 | 55.34% |
| GeeGee vs Reina | 42–58 | 42.00% |
| GeeGee vs Devil Jin | 42–51 | 45.16% |
| GeeGee vs Jun | 40–51 | 43.96% |
| GeeGee vs Lee | 31–48 | 39.24% |
| GeeGee vs Lidia | 24–53 | 31.17% |
| GeeGee vs Claudio | 36–38 | 48.65% |
| GeeGee vs Raven | 38–33 | 53.52% |
| GeeGee vs Leroy | 27–35 | 43.55% |
| GeeGee vs Jack-8 | 28–29 | 49.12% |
| GeeGee vs Kuma | 20–23 | 46.51% |
| GeeGee vs Panda | 18–21 | 46.15% |
| GeeGee vs Zafina | 13–20 | 39.39% |
| GeeGee vs Leo | 14–17 | 45.16% |
| GeeGee vs Shaheen | 12–18 | 40.00% |
| GeeGee vs Heihachi | 1–5 | 16.67% |
| GeeGee vs Clive | 1–1 | 50.00% |
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.