| usersevenone vs Dragunov | 24–23 | 51.06% |
| usersevenone vs Jin | 21–20 | 51.22% |
| usersevenone vs King | 15–22 | 40.54% |
| usersevenone vs Bryan | 20–16 | 55.56% |
| usersevenone vs Reina | 19–10 | 65.52% |
| usersevenone vs Kazuya | 14–9 | 60.87% |
| usersevenone vs Paul | 15–7 | 68.18% |
| usersevenone vs Steve | 9–13 | 40.91% |
| usersevenone vs Devil Jin | 9–11 | 45.00% |
| usersevenone vs Eddy | 6–9 | 40.00% |
| usersevenone vs Law | 7–6 | 53.85% |
| usersevenone vs Yoshimitsu | 7–6 | 53.85% |
| usersevenone vs Hwoarang | 4–9 | 30.77% |
| usersevenone vs Nina | 5–8 | 38.46% |
| usersevenone vs Jun | 4–9 | 30.77% |
| usersevenone vs Victor | 5–8 | 38.46% |
| usersevenone vs Lidia | 7–6 | 53.85% |
| usersevenone vs Claudio | 6–6 | 50.00% |
| usersevenone vs Lee | 5–6 | 45.45% |
| usersevenone vs Lars | 4–6 | 40.00% |
| usersevenone vs Lili | 3–6 | 33.33% |
| usersevenone vs Azucena | 5–4 | 55.56% |
| usersevenone vs Shaheen | 1–7 | 12.50% |
| usersevenone vs Kuma | 5–3 | 62.50% |
| usersevenone vs Asuka | 3–4 | 42.86% |
| usersevenone vs Leo | 4–3 | 57.14% |
| usersevenone vs Xiaoyu | 2–4 | 33.33% |
| usersevenone vs Raven | 3–3 | 50.00% |
| usersevenone vs Feng | 2–3 | 40.00% |
| usersevenone vs Panda | 0–5 | 0.00% |
| usersevenone vs Zafina | 1–4 | 20.00% |
| usersevenone vs Leroy | 2–2 | 50.00% |
| usersevenone vs Alisa | 1–2 | 33.33% |
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.