| GnGomY vs Kazuya | 253–208 | 54.88% |
| GnGomY vs Bryan | 207–162 | 56.10% |
| GnGomY vs Dragunov | 184–164 | 52.87% |
| GnGomY vs Jin | 181–149 | 54.85% |
| GnGomY vs Heihachi | 166–151 | 52.37% |
| GnGomY vs Paul | 174–121 | 58.98% |
| GnGomY vs Hwoarang | 149–94 | 61.32% |
| GnGomY vs Clive | 133–109 | 54.96% |
| GnGomY vs Reina | 134–94 | 58.77% |
| GnGomY vs Steve | 116–101 | 53.46% |
| GnGomY vs Devil Jin | 106–106 | 50.00% |
| GnGomY vs Asuka | 108–98 | 52.43% |
| GnGomY vs King | 111–93 | 54.41% |
| GnGomY vs Victor | 108–83 | 56.54% |
| GnGomY vs Lili | 106–80 | 56.99% |
| GnGomY vs Lars | 79–106 | 42.70% |
| GnGomY vs Feng | 74–83 | 47.13% |
| GnGomY vs Jun | 78–78 | 50.00% |
| GnGomY vs Claudio | 73–74 | 49.66% |
| GnGomY vs Lidia | 79–66 | 54.48% |
| GnGomY vs Jack-8 | 64–76 | 45.71% |
| GnGomY vs Yoshimitsu | 74–65 | 53.24% |
| GnGomY vs Law | 66–66 | 50.00% |
| GnGomY vs Azucena | 78–54 | 59.09% |
| GnGomY vs Alisa | 73–54 | 57.48% |
| GnGomY vs Leroy | 67–59 | 53.17% |
| GnGomY vs Lee | 64–56 | 53.33% |
| GnGomY vs Nina | 54–57 | 48.65% |
| GnGomY vs Fahkumram | 51–48 | 51.52% |
| GnGomY vs Shaheen | 48–43 | 52.75% |
| GnGomY vs Leo | 41–45 | 47.67% |
| GnGomY vs Raven | 43–42 | 50.59% |
| GnGomY vs Anna | 49–33 | 59.76% |
| GnGomY vs Xiaoyu | 38–40 | 48.72% |
| GnGomY vs Armor King | 45–31 | 59.21% |
| GnGomY vs Eddy | 37–31 | 54.41% |
| GnGomY vs Kuma | 30–37 | 44.78% |
| GnGomY vs Zafina | 39–27 | 59.09% |
| GnGomY vs Panda | 13–23 | 36.11% |
| GnGomY vs Miary Zo | 13–14 | 48.15% |
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.