| Epsilon vs Kazuya | 147–151 | 49.33% |
| Epsilon vs Jin | 94–132 | 41.59% |
| Epsilon vs King | 93–123 | 43.06% |
| Epsilon vs Bryan | 93–110 | 45.81% |
| Epsilon vs Hwoarang | 100–98 | 50.51% |
| Epsilon vs Reina | 95–94 | 50.26% |
| Epsilon vs Steve | 78–88 | 46.99% |
| Epsilon vs Law | 51–88 | 36.69% |
| Epsilon vs Eddy | 72–57 | 55.81% |
| Epsilon vs Paul | 49–79 | 38.28% |
| Epsilon vs Yoshimitsu | 57–68 | 45.60% |
| Epsilon vs Dragunov | 55–69 | 44.35% |
| Epsilon vs Lili | 48–71 | 40.34% |
| Epsilon vs Jun | 56–62 | 47.46% |
| Epsilon vs Lars | 57–56 | 50.44% |
| Epsilon vs Azucena | 54–58 | 48.21% |
| Epsilon vs Heihachi | 44–66 | 40.00% |
| Epsilon vs Lee | 49–57 | 46.23% |
| Epsilon vs Asuka | 30–63 | 32.26% |
| Epsilon vs Feng | 31–58 | 34.83% |
| Epsilon vs Leo | 33–42 | 44.00% |
| Epsilon vs Victor | 35–39 | 47.30% |
| Epsilon vs Nina | 30–37 | 44.78% |
| Epsilon vs Leroy | 30–34 | 46.88% |
| Epsilon vs Xiaoyu | 21–42 | 33.33% |
| Epsilon vs Devil Jin | 25–38 | 39.68% |
| Epsilon vs Lidia | 24–34 | 41.38% |
| Epsilon vs Jack-8 | 22–24 | 47.83% |
| Epsilon vs Alisa | 24–22 | 52.17% |
| Epsilon vs Raven | 22–23 | 48.89% |
| Epsilon vs Claudio | 15–24 | 38.46% |
| Epsilon vs Armor King | 15–14 | 51.72% |
| Epsilon vs Kuma | 13–15 | 46.43% |
| Epsilon vs Clive | 10–18 | 35.71% |
| Epsilon vs Fahkumram | 12–13 | 48.00% |
| Epsilon vs Shaheen | 16–6 | 72.73% |
| Epsilon vs Anna | 8–10 | 44.44% |
| Epsilon vs Zafina | 4–13 | 23.53% |
| Epsilon vs Miary Zo | 3–4 | 42.86% |
| Epsilon vs Panda | 3–2 | 60.00% |
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.