| Epsilon vs Jin | 22–48 | 31.43% |
| Epsilon vs King | 20–46 | 30.30% |
| Epsilon vs Steve | 26–40 | 39.39% |
| Epsilon vs Dragunov | 20–35 | 36.36% |
| Epsilon vs Bryan | 18–36 | 33.33% |
| Epsilon vs Law | 13–31 | 29.55% |
| Epsilon vs Hwoarang | 9–35 | 20.45% |
| Epsilon vs Armor King | 16–28 | 36.36% |
| Epsilon vs Lee | 18–24 | 42.86% |
| Epsilon vs Miary Zo | 13–29 | 30.95% |
| Epsilon vs Kazuya | 3–36 | 7.69% |
| Epsilon vs Heihachi | 7–32 | 17.95% |
| Epsilon vs Eddy | 9–26 | 25.71% |
| Epsilon vs Lars | 9–22 | 29.03% |
| Epsilon vs Paul | 8–18 | 30.77% |
| Epsilon vs Victor | 7–18 | 28.00% |
| Epsilon vs Nina | 13–8 | 61.90% |
| Epsilon vs Fahkumram | 12–9 | 57.14% |
| Epsilon vs Asuka | 7–10 | 41.18% |
| Epsilon vs Lili | 7–10 | 41.18% |
| Epsilon vs Reina | 5–12 | 29.41% |
| Epsilon vs Azucena | 7–10 | 41.18% |
| Epsilon vs Yoshimitsu | 5–11 | 31.25% |
| Epsilon vs Devil Jin | 4–12 | 25.00% |
| Epsilon vs Xiaoyu | 5–10 | 33.33% |
| Epsilon vs Leroy | 6–7 | 46.15% |
| Epsilon vs Feng | 3–9 | 25.00% |
| Epsilon vs Jun | 6–6 | 50.00% |
| Epsilon vs Clive | 2–10 | 16.67% |
| Epsilon vs Leo | 5–5 | 50.00% |
| Epsilon vs Claudio | 3–5 | 37.50% |
| Epsilon vs Kuma | 1–7 | 12.50% |
| Epsilon vs Alisa | 2–5 | 28.57% |
| Epsilon vs Lidia | 1–6 | 14.29% |
| Epsilon vs Raven | 2–4 | 33.33% |
| Epsilon vs Jack-8 | 0–1 | 0.00% |
| Epsilon vs Anna | 1–0 | 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.