| Eram_y_ vs Kazuya | 132–139 | 48.71% |
| Eram_y_ vs Jin | 130–139 | 48.33% |
| Eram_y_ vs Bryan | 119–102 | 53.85% |
| Eram_y_ vs Reina | 120–73 | 62.18% |
| Eram_y_ vs King | 92–66 | 58.23% |
| Eram_y_ vs Paul | 78–79 | 49.68% |
| Eram_y_ vs Hwoarang | 76–71 | 51.70% |
| Eram_y_ vs Dragunov | 66–77 | 46.15% |
| Eram_y_ vs Steve | 65–65 | 50.00% |
| Eram_y_ vs Law | 62–64 | 49.21% |
| Eram_y_ vs Yoshimitsu | 69–57 | 54.76% |
| Eram_y_ vs Lili | 66–51 | 56.41% |
| Eram_y_ vs Xiaoyu | 39–61 | 39.00% |
| Eram_y_ vs Alisa | 47–52 | 47.47% |
| Eram_y_ vs Victor | 46–48 | 48.94% |
| Eram_y_ vs Devil Jin | 42–50 | 45.65% |
| Eram_y_ vs Asuka | 29–59 | 32.95% |
| Eram_y_ vs Lee | 45–39 | 53.57% |
| Eram_y_ vs Nina | 32–50 | 39.02% |
| Eram_y_ vs Jun | 38–43 | 46.91% |
| Eram_y_ vs Feng | 31–48 | 39.24% |
| Eram_y_ vs Azucena | 26–53 | 32.91% |
| Eram_y_ vs Eddy | 41–37 | 52.56% |
| Eram_y_ vs Clive | 39–37 | 51.32% |
| Eram_y_ vs Lars | 36–26 | 58.06% |
| Eram_y_ vs Leroy | 35–26 | 57.38% |
| Eram_y_ vs Leo | 27–29 | 48.21% |
| Eram_y_ vs Zafina | 30–25 | 54.55% |
| Eram_y_ vs Jack-8 | 30–21 | 58.82% |
| Eram_y_ vs Heihachi | 24–18 | 57.14% |
| Eram_y_ vs Claudio | 17–22 | 43.59% |
| Eram_y_ vs Lidia | 11–27 | 28.95% |
| Eram_y_ vs Raven | 17–16 | 51.52% |
| Eram_y_ vs Kuma | 11–21 | 34.38% |
| Eram_y_ vs Shaheen | 12–17 | 41.38% |
| Eram_y_ vs Miary Zo | 14–4 | 77.78% |
| Eram_y_ vs Panda | 5–1 | 83.33% |
| Eram_y_ vs Anna | 0–4 | 0.00% |
| Eram_y_ vs Armor King | 3–0 | 100.00% |
| Eram_y_ vs Fahkumram | 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.