| ejabno vs Kazuya | 118–102 | 53.64% |
| ejabno vs King | 84–74 | 53.16% |
| ejabno vs Heihachi | 70–73 | 48.95% |
| ejabno vs Reina | 72–56 | 56.25% |
| ejabno vs Bryan | 59–56 | 51.30% |
| ejabno vs Jin | 42–72 | 36.84% |
| ejabno vs Steve | 55–51 | 51.89% |
| ejabno vs Hwoarang | 54–46 | 54.00% |
| ejabno vs Law | 54–44 | 55.10% |
| ejabno vs Dragunov | 39–58 | 40.21% |
| ejabno vs Lee | 63–26 | 70.79% |
| ejabno vs Jun | 39–41 | 48.75% |
| ejabno vs Xiaoyu | 37–42 | 46.84% |
| ejabno vs Lars | 24–45 | 34.78% |
| ejabno vs Eddy | 35–33 | 51.47% |
| ejabno vs Paul | 34–33 | 50.75% |
| ejabno vs Yoshimitsu | 29–38 | 43.28% |
| ejabno vs Asuka | 33–32 | 50.77% |
| ejabno vs Azucena | 25–40 | 38.46% |
| ejabno vs Devil Jin | 37–26 | 58.73% |
| ejabno vs Victor | 20–38 | 34.48% |
| ejabno vs Lidia | 28–30 | 48.28% |
| ejabno vs Feng | 17–36 | 32.08% |
| ejabno vs Lili | 29–23 | 55.77% |
| ejabno vs Leo | 26–22 | 54.17% |
| ejabno vs Nina | 18–25 | 41.86% |
| ejabno vs Leroy | 20–19 | 51.28% |
| ejabno vs Kuma | 24–13 | 64.86% |
| ejabno vs Shaheen | 12–21 | 36.36% |
| ejabno vs Alisa | 15–17 | 46.88% |
| ejabno vs Jack-8 | 20–6 | 76.92% |
| ejabno vs Claudio | 11–15 | 42.31% |
| ejabno vs Zafina | 7–15 | 31.82% |
| ejabno vs Raven | 5–17 | 22.73% |
| ejabno vs Clive | 3–4 | 42.86% |
| ejabno vs Panda | 2–4 | 33.33% |
| ejabno vs Anna | 2–4 | 33.33% |
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.