| GMonkey vs King | 130–146 | 47.10% |
| GMonkey vs Kazuya | 108–136 | 44.26% |
| GMonkey vs Dragunov | 125–116 | 51.87% |
| GMonkey vs Paul | 103–119 | 46.40% |
| GMonkey vs Reina | 120–102 | 54.05% |
| GMonkey vs Hwoarang | 112–99 | 53.08% |
| GMonkey vs Jin | 98–102 | 49.00% |
| GMonkey vs Bryan | 82–106 | 43.62% |
| GMonkey vs Lili | 81–94 | 46.29% |
| GMonkey vs Asuka | 90–81 | 52.63% |
| GMonkey vs Steve | 76–84 | 47.50% |
| GMonkey vs Law | 72–81 | 47.06% |
| GMonkey vs Jun | 71–60 | 54.20% |
| GMonkey vs Victor | 59–66 | 47.20% |
| GMonkey vs Armor King | 48–66 | 42.11% |
| GMonkey vs Heihachi | 53–57 | 48.18% |
| GMonkey vs Yoshimitsu | 59–49 | 54.63% |
| GMonkey vs Xiaoyu | 54–49 | 52.43% |
| GMonkey vs Azucena | 52–50 | 50.98% |
| GMonkey vs Fahkumram | 45–57 | 44.12% |
| GMonkey vs Feng | 45–51 | 46.88% |
| GMonkey vs Lars | 47–48 | 49.47% |
| GMonkey vs Eddy | 49–39 | 55.68% |
| GMonkey vs Leo | 45–41 | 52.33% |
| GMonkey vs Claudio | 37–46 | 44.58% |
| GMonkey vs Lidia | 39–41 | 48.75% |
| GMonkey vs Nina | 26–52 | 33.33% |
| GMonkey vs Alisa | 31–45 | 40.79% |
| GMonkey vs Clive | 32–41 | 43.84% |
| GMonkey vs Jack-8 | 35–34 | 50.72% |
| GMonkey vs Devil Jin | 31–36 | 46.27% |
| GMonkey vs Leroy | 23–37 | 38.33% |
| GMonkey vs Shaheen | 18–33 | 35.29% |
| GMonkey vs Kuma | 17–33 | 34.00% |
| GMonkey vs Lee | 22–27 | 44.90% |
| GMonkey vs Raven | 17–24 | 41.46% |
| GMonkey vs Anna | 11–19 | 36.67% |
| GMonkey vs Zafina | 12–16 | 42.86% |
| GMonkey vs Panda | 8–7 | 53.33% |
| GMonkey vs Miary Zo | 4–10 | 28.57% |
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.