| GMoney vs Steve | 237–125 | 65.47% |
| GMoney vs Hwoarang | 217–114 | 65.56% |
| GMoney vs Lili | 214–110 | 66.05% |
| GMoney vs Lars | 208–93 | 69.10% |
| GMoney vs Bryan | 195–104 | 65.22% |
| GMoney vs Heihachi | 157–113 | 58.15% |
| GMoney vs Dragunov | 173–91 | 65.53% |
| GMoney vs Nina | 149–109 | 57.75% |
| GMoney vs Leroy | 162–87 | 65.06% |
| GMoney vs King | 163–82 | 66.53% |
| GMoney vs Jun | 143–97 | 59.58% |
| GMoney vs Jin | 152–85 | 64.14% |
| GMoney vs Kazuya | 151–71 | 68.02% |
| GMoney vs Lee | 148–74 | 66.67% |
| GMoney vs Shaheen | 137–80 | 63.13% |
| GMoney vs Yoshimitsu | 141–73 | 65.89% |
| GMoney vs Law | 149–59 | 71.63% |
| GMoney vs Xiaoyu | 131–76 | 63.29% |
| GMoney vs Asuka | 129–72 | 64.18% |
| GMoney vs Feng | 122–79 | 60.70% |
| GMoney vs Azucena | 107–82 | 56.61% |
| GMoney vs Reina | 123–48 | 71.93% |
| GMoney vs Eddy | 98–56 | 63.64% |
| GMoney vs Jack-8 | 112–38 | 74.67% |
| GMoney vs Devil Jin | 94–54 | 63.51% |
| GMoney vs Zafina | 87–56 | 60.84% |
| GMoney vs Claudio | 98–42 | 70.00% |
| GMoney vs Paul | 102–36 | 73.91% |
| GMoney vs Leo | 89–46 | 65.93% |
| GMoney vs Victor | 87–39 | 69.05% |
| GMoney vs Alisa | 83–39 | 68.03% |
| GMoney vs Kuma | 78–36 | 68.42% |
| GMoney vs Raven | 76–25 | 75.25% |
| GMoney vs Lidia | 57–27 | 67.86% |
| GMoney vs Clive | 53–31 | 63.10% |
| GMoney vs Panda | 21–3 | 87.50% |
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.