| EJTheKage vs King | 128–125 | 50.59% |
| EJTheKage vs Kazuya | 124–114 | 52.10% |
| EJTheKage vs Law | 120–96 | 55.56% |
| EJTheKage vs Jin | 108–106 | 50.47% |
| EJTheKage vs Reina | 105–101 | 50.97% |
| EJTheKage vs Bryan | 86–109 | 44.10% |
| EJTheKage vs Steve | 90–102 | 46.88% |
| EJTheKage vs Hwoarang | 87–86 | 50.29% |
| EJTheKage vs Dragunov | 79–88 | 47.31% |
| EJTheKage vs Armor King | 57–88 | 39.31% |
| EJTheKage vs Lili | 57–84 | 40.43% |
| EJTheKage vs Heihachi | 69–67 | 50.74% |
| EJTheKage vs Asuka | 71–61 | 53.79% |
| EJTheKage vs Azucena | 70–59 | 54.26% |
| EJTheKage vs Jun | 54–67 | 44.63% |
| EJTheKage vs Paul | 54–66 | 45.00% |
| EJTheKage vs Lee | 40–69 | 36.70% |
| EJTheKage vs Fahkumram | 45–52 | 46.39% |
| EJTheKage vs Yoshimitsu | 51–44 | 53.68% |
| EJTheKage vs Eddy | 46–46 | 50.00% |
| EJTheKage vs Lars | 50–41 | 54.95% |
| EJTheKage vs Alisa | 38–52 | 42.22% |
| EJTheKage vs Victor | 29–61 | 32.22% |
| EJTheKage vs Xiaoyu | 28–58 | 32.56% |
| EJTheKage vs Clive | 42–40 | 51.22% |
| EJTheKage vs Leo | 39–42 | 48.15% |
| EJTheKage vs Feng | 32–46 | 41.03% |
| EJTheKage vs Nina | 35–39 | 47.30% |
| EJTheKage vs Leroy | 36–34 | 51.43% |
| EJTheKage vs Devil Jin | 38–26 | 59.38% |
| EJTheKage vs Claudio | 30–27 | 52.63% |
| EJTheKage vs Lidia | 29–27 | 51.79% |
| EJTheKage vs Raven | 27–28 | 49.09% |
| EJTheKage vs Jack-8 | 28–21 | 57.14% |
| EJTheKage vs Zafina | 22–23 | 48.89% |
| EJTheKage vs Shaheen | 29–12 | 70.73% |
| EJTheKage vs Anna | 18–20 | 47.37% |
| EJTheKage vs Kuma | 13–19 | 40.62% |
| EJTheKage vs Panda | 8–10 | 44.44% |
| EJTheKage vs Miary Zo | 5–8 | 38.46% |
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.