| E-Gahhd vs King | 73–87 | 45.62% |
| E-Gahhd vs Kazuya | 77–83 | 48.12% |
| E-Gahhd vs Reina | 73–64 | 53.28% |
| E-Gahhd vs Bryan | 68–52 | 56.67% |
| E-Gahhd vs Jin | 44–73 | 37.61% |
| E-Gahhd vs Steve | 47–66 | 41.59% |
| E-Gahhd vs Hwoarang | 54–42 | 56.25% |
| E-Gahhd vs Azucena | 45–49 | 47.87% |
| E-Gahhd vs Miary Zo | 43–46 | 48.31% |
| E-Gahhd vs Yoshimitsu | 50–38 | 56.82% |
| E-Gahhd vs Lee | 40–45 | 47.06% |
| E-Gahhd vs Heihachi | 45–40 | 52.94% |
| E-Gahhd vs Dragunov | 41–43 | 48.81% |
| E-Gahhd vs Law | 44–39 | 53.01% |
| E-Gahhd vs Lili | 34–49 | 40.96% |
| E-Gahhd vs Paul | 33–42 | 44.00% |
| E-Gahhd vs Eddy | 36–36 | 50.00% |
| E-Gahhd vs Jun | 38–31 | 55.07% |
| E-Gahhd vs Armor King | 36–33 | 52.17% |
| E-Gahhd vs Xiaoyu | 34–34 | 50.00% |
| E-Gahhd vs Lars | 44–24 | 64.71% |
| E-Gahhd vs Asuka | 29–35 | 45.31% |
| E-Gahhd vs Leo | 22–29 | 43.14% |
| E-Gahhd vs Nina | 27–19 | 58.70% |
| E-Gahhd vs Clive | 20–26 | 43.48% |
| E-Gahhd vs Feng | 23–21 | 52.27% |
| E-Gahhd vs Fahkumram | 16–21 | 43.24% |
| E-Gahhd vs Jack-8 | 21–15 | 58.33% |
| E-Gahhd vs Claudio | 14–21 | 40.00% |
| E-Gahhd vs Leroy | 21–14 | 60.00% |
| E-Gahhd vs Kuma | 14–19 | 42.42% |
| E-Gahhd vs Alisa | 15–17 | 46.88% |
| E-Gahhd vs Zafina | 18–14 | 56.25% |
| E-Gahhd vs Victor | 11–21 | 34.38% |
| E-Gahhd vs Raven | 16–16 | 50.00% |
| E-Gahhd vs Devil Jin | 13–14–1 | 48.15% |
| E-Gahhd vs Lidia | 11–13 | 45.83% |
| E-Gahhd vs Anna | 7–15 | 31.82% |
| E-Gahhd vs Shaheen | 7–9 | 43.75% |
| E-Gahhd vs Panda | 3–4 | 42.86% |
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.