| GeeGee vs Kazuya | 257–312 | 45.17% |
| GeeGee vs Jin | 231–272 | 45.92% |
| GeeGee vs Bryan | 224–218 | 50.68% |
| GeeGee vs King | 181–186 | 49.32% |
| GeeGee vs Hwoarang | 167–175 | 48.83% |
| GeeGee vs Reina | 152–181 | 45.65% |
| GeeGee vs Steve | 118–184 | 39.07% |
| GeeGee vs Yoshimitsu | 120–163 | 42.40% |
| GeeGee vs Heihachi | 113–167 | 40.36% |
| GeeGee vs Paul | 122–125 | 49.39% |
| GeeGee vs Dragunov | 113–118 | 48.92% |
| GeeGee vs Law | 115–110 | 51.11% |
| GeeGee vs Lili | 93–108 | 46.27% |
| GeeGee vs Lee | 69–104 | 39.88% |
| GeeGee vs Azucena | 65–95 | 40.62% |
| GeeGee vs Devil Jin | 64–90 | 41.56% |
| GeeGee vs Eddy | 78–71 | 52.35% |
| GeeGee vs Jun | 65–75 | 46.43% |
| GeeGee vs Asuka | 85–49 | 63.43% |
| GeeGee vs Lars | 59–69 | 46.09% |
| GeeGee vs Feng | 60–59 | 50.42% |
| GeeGee vs Alisa | 57–62 | 47.90% |
| GeeGee vs Victor | 38–78 | 32.76% |
| GeeGee vs Nina | 42–64 | 39.62% |
| GeeGee vs Lidia | 45–52 | 46.39% |
| GeeGee vs Xiaoyu | 44–50 | 46.81% |
| GeeGee vs Claudio | 29–52 | 35.80% |
| GeeGee vs Leo | 44–33 | 57.14% |
| GeeGee vs Clive | 27–50 | 35.06% |
| GeeGee vs Jack-8 | 34–34 | 50.00% |
| GeeGee vs Leroy | 25–43 | 36.76% |
| GeeGee vs Raven | 36–32 | 52.94% |
| GeeGee vs Zafina | 14–27 | 34.15% |
| GeeGee vs Shaheen | 18–21 | 46.15% |
| GeeGee vs Fahkumram | 17–17 | 50.00% |
| GeeGee vs Anna | 16–15 | 51.61% |
| GeeGee vs Kuma | 15–14 | 51.72% |
| GeeGee vs Armor King | 4–12 | 25.00% |
| GeeGee vs Panda | 1–10 | 9.09% |
| GeeGee vs Miary Zo | 5–6 | 45.45% |
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.