| Ermac1001 vs King | 41–42 | 49.40% |
| Ermac1001 vs Law | 27–27 | 50.00% |
| Ermac1001 vs Miary Zo | 17–30 | 36.17% |
| Ermac1001 vs Armor King | 19–26 | 42.22% |
| Ermac1001 vs Jin | 24–16 | 60.00% |
| Ermac1001 vs Bryan | 11–28 | 28.21% |
| Ermac1001 vs Kazuya | 14–16 | 46.67% |
| Ermac1001 vs Steve | 21–7 | 75.00% |
| Ermac1001 vs Lili | 16–12 | 57.14% |
| Ermac1001 vs Reina | 8–17 | 32.00% |
| Ermac1001 vs Heihachi | 9–15 | 37.50% |
| Ermac1001 vs Jun | 12–10 | 54.55% |
| Ermac1001 vs Clive | 12–10 | 54.55% |
| Ermac1001 vs Paul | 6–15 | 28.57% |
| Ermac1001 vs Hwoarang | 9–12 | 42.86% |
| Ermac1001 vs Lee | 8–12 | 40.00% |
| Ermac1001 vs Eddy | 9–11 | 45.00% |
| Ermac1001 vs Dragunov | 7–12 | 36.84% |
| Ermac1001 vs Xiaoyu | 10–8 | 55.56% |
| Ermac1001 vs Fahkumram | 12–6 | 66.67% |
| Ermac1001 vs Leroy | 7–9 | 43.75% |
| Ermac1001 vs Lars | 8–7 | 53.33% |
| Ermac1001 vs Leo | 7–7 | 50.00% |
| Ermac1001 vs Azucena | 8–6 | 57.14% |
| Ermac1001 vs Asuka | 9–4 | 69.23% |
| Ermac1001 vs Devil Jin | 4–9 | 30.77% |
| Ermac1001 vs Victor | 8–5 | 61.54% |
| Ermac1001 vs Yoshimitsu | 5–7 | 41.67% |
| Ermac1001 vs Alisa | 2–10 | 16.67% |
| Ermac1001 vs Nina | 4–7 | 36.36% |
| Ermac1001 vs Kuma | 3–8 | 27.27% |
| Ermac1001 vs Lidia | 4–7 | 36.36% |
| Ermac1001 vs Claudio | 4–6 | 40.00% |
| Ermac1001 vs Raven | 6–4 | 60.00% |
| Ermac1001 vs Feng | 4–5 | 44.44% |
| Ermac1001 vs Panda | 4–3 | 57.14% |
| Ermac1001 vs Jack-8 | 4–2 | 66.67% |
| Ermac1001 vs Anna | 2–3 | 40.00% |
| Ermac1001 vs Shaheen | 2–0 | 100.00% |
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.