| ERA7652 vs Armor King | 47–41 | 53.41% |
| ERA7652 vs Kazuya | 35–33 | 51.47% |
| ERA7652 vs King | 39–27 | 59.09% |
| ERA7652 vs Jin | 24–23 | 51.06% |
| ERA7652 vs Law | 19–27 | 41.30% |
| ERA7652 vs Steve | 24–21 | 53.33% |
| ERA7652 vs Fahkumram | 21–23 | 47.73% |
| ERA7652 vs Hwoarang | 26–12 | 68.42% |
| ERA7652 vs Lee | 13–22 | 37.14% |
| ERA7652 vs Bryan | 8–24 | 25.00% |
| ERA7652 vs Paul | 15–13 | 53.57% |
| ERA7652 vs Azucena | 17–11 | 60.71% |
| ERA7652 vs Heihachi | 12–16 | 42.86% |
| ERA7652 vs Eddy | 11–14 | 44.00% |
| ERA7652 vs Yoshimitsu | 12–12 | 50.00% |
| ERA7652 vs Reina | 10–14 | 41.67% |
| ERA7652 vs Dragunov | 9–14 | 39.13% |
| ERA7652 vs Asuka | 10–10 | 50.00% |
| ERA7652 vs Jun | 8–10 | 44.44% |
| ERA7652 vs Lidia | 5–11 | 31.25% |
| ERA7652 vs Clive | 9–7 | 56.25% |
| ERA7652 vs Leroy | 9–6 | 60.00% |
| ERA7652 vs Anna | 9–6 | 60.00% |
| ERA7652 vs Jack-8 | 8–5 | 61.54% |
| ERA7652 vs Victor | 7–6 | 53.85% |
| ERA7652 vs Xiaoyu | 9–3 | 75.00% |
| ERA7652 vs Feng | 3–9 | 25.00% |
| ERA7652 vs Lars | 3–9 | 25.00% |
| ERA7652 vs Alisa | 9–3 | 75.00% |
| ERA7652 vs Devil Jin | 4–6 | 40.00% |
| ERA7652 vs Lili | 5–5 | 50.00% |
| ERA7652 vs Nina | 5–4 | 55.56% |
| ERA7652 vs Leo | 2–6 | 25.00% |
| ERA7652 vs Kuma | 5–3 | 62.50% |
| ERA7652 vs Miary Zo | 3–5 | 37.50% |
| ERA7652 vs Zafina | 5–2 | 71.43% |
| ERA7652 vs Raven | 2–5 | 28.57% |
| ERA7652 vs Claudio | 3–2 | 60.00% |
| ERA7652 vs Shaheen | 0–1 | 0.00% |
| ERA7652 vs Panda | 0–1 | 0.00% |
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.