| ggenjii vs Kazuya | 212–193 | 52.35% |
| ggenjii vs King | 214–182 | 54.04% |
| ggenjii vs Jin | 174–178 | 49.43% |
| ggenjii vs Bryan | 123–148 | 45.39% |
| ggenjii vs Steve | 116–133 | 46.59% |
| ggenjii vs Reina | 99–139–1 | 41.60% |
| ggenjii vs Lili | 115–121 | 48.73% |
| ggenjii vs Hwoarang | 96–119 | 44.65% |
| ggenjii vs Dragunov | 89–97 | 47.85% |
| ggenjii vs Heihachi | 89–95 | 48.37% |
| ggenjii vs Yoshimitsu | 104–76 | 57.78% |
| ggenjii vs Law | 98–81 | 54.75% |
| ggenjii vs Asuka | 90–71 | 55.90% |
| ggenjii vs Paul | 73–78 | 48.34% |
| ggenjii vs Lars | 62–80 | 43.66% |
| ggenjii vs Lee | 60–80 | 42.86% |
| ggenjii vs Xiaoyu | 72–63 | 53.33% |
| ggenjii vs Azucena | 67–68 | 49.63% |
| ggenjii vs Jun | 76–50 | 60.32% |
| ggenjii vs Eddy | 63–47 | 57.27% |
| ggenjii vs Devil Jin | 46–57 | 44.66% |
| ggenjii vs Victor | 48–55 | 46.60% |
| ggenjii vs Nina | 47–53 | 47.00% |
| ggenjii vs Leo | 45–51 | 46.88% |
| ggenjii vs Lidia | 40–53 | 43.01% |
| ggenjii vs Raven | 44–45 | 49.44% |
| ggenjii vs Feng | 39–43 | 47.56% |
| ggenjii vs Jack-8 | 40–41 | 49.38% |
| ggenjii vs Kuma | 47–34 | 58.02% |
| ggenjii vs Armor King | 42–38 | 52.50% |
| ggenjii vs Alisa | 23–46 | 33.33% |
| ggenjii vs Leroy | 34–35 | 49.28% |
| ggenjii vs Zafina | 24–32 | 42.86% |
| ggenjii vs Fahkumram | 28–28 | 50.00% |
| ggenjii vs Claudio | 22–27 | 44.90% |
| ggenjii vs Clive | 24–25 | 48.98% |
| ggenjii vs Shaheen | 21–26 | 44.68% |
| ggenjii vs Anna | 21–16 | 56.76% |
| ggenjii vs Panda | 10–8 | 55.56% |
| ggenjii vs Miary Zo | 8–9 | 47.06% |
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.