| fetter_Ermac vs Heihachi | 101–96 | 51.27% |
| fetter_Ermac vs Kazuya | 130–59 | 68.78% |
| fetter_Ermac vs Bryan | 87–57 | 60.42% |
| fetter_Ermac vs Jin | 78–63 | 55.32% |
| fetter_Ermac vs Reina | 76–53 | 58.91% |
| fetter_Ermac vs Steve | 57–33 | 63.33% |
| fetter_Ermac vs Paul | 54–26 | 67.50% |
| fetter_Ermac vs King | 43–37 | 53.75% |
| fetter_Ermac vs Hwoarang | 34–38 | 47.22% |
| fetter_Ermac vs Law | 47–20 | 70.15% |
| fetter_Ermac vs Azucena | 35–27 | 56.45% |
| fetter_Ermac vs Clive | 33–29 | 53.23% |
| fetter_Ermac vs Devil Jin | 31–30 | 50.82% |
| fetter_Ermac vs Yoshimitsu | 37–20 | 64.91% |
| fetter_Ermac vs Lili | 29–27 | 51.79% |
| fetter_Ermac vs Dragunov | 35–20 | 63.64% |
| fetter_Ermac vs Lee | 32–21 | 60.38% |
| fetter_Ermac vs Asuka | 23–23 | 50.00% |
| fetter_Ermac vs Nina | 19–24 | 44.19% |
| fetter_Ermac vs Lidia | 15–28 | 34.88% |
| fetter_Ermac vs Eddy | 25–17 | 59.52% |
| fetter_Ermac vs Lars | 18–20 | 47.37% |
| fetter_Ermac vs Victor | 25–13 | 65.79% |
| fetter_Ermac vs Leo | 19–18 | 51.35% |
| fetter_Ermac vs Leroy | 22–15 | 59.46% |
| fetter_Ermac vs Feng | 20–16 | 55.56% |
| fetter_Ermac vs Claudio | 18–17 | 51.43% |
| fetter_Ermac vs Jun | 22–13 | 62.86% |
| fetter_Ermac vs Xiaoyu | 14–13 | 51.85% |
| fetter_Ermac vs Jack-8 | 13–13 | 50.00% |
| fetter_Ermac vs Alisa | 11–13 | 45.83% |
| fetter_Ermac vs Raven | 17–4 | 80.95% |
| fetter_Ermac vs Zafina | 5–11 | 31.25% |
| fetter_Ermac vs Kuma | 11–3 | 78.57% |
| fetter_Ermac vs Shaheen | 5–7 | 41.67% |
| fetter_Ermac vs Panda | 3–8 | 27.27% |
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.