| ImRandomAsf vs King | 21–1 | 95.45% |
| ImRandomAsf vs Steve | 17–4 | 80.95% |
| ImRandomAsf vs Hwoarang | 15–4 | 78.95% |
| ImRandomAsf vs Kazuya | 14–5 | 73.68% |
| ImRandomAsf vs Jin | 12–4 | 75.00% |
| ImRandomAsf vs Xiaoyu | 13–0 | 100.00% |
| ImRandomAsf vs Jack-8 | 10–2 | 83.33% |
| ImRandomAsf vs Law | 8–3 | 72.73% |
| ImRandomAsf vs Reina | 8–3 | 72.73% |
| ImRandomAsf vs Asuka | 5–4 | 55.56% |
| ImRandomAsf vs Dragunov | 8–1 | 88.89% |
| ImRandomAsf vs Nina | 3–6 | 33.33% |
| ImRandomAsf vs Eddy | 8–1 | 88.89% |
| ImRandomAsf vs Victor | 5–3 | 62.50% |
| ImRandomAsf vs Lee | 4–3 | 57.14% |
| ImRandomAsf vs Jun | 3–4 | 42.86% |
| ImRandomAsf vs Azucena | 6–1 | 85.71% |
| ImRandomAsf vs Yoshimitsu | 3–3 | 50.00% |
| ImRandomAsf vs Lili | 4–2 | 66.67% |
| ImRandomAsf vs Paul | 4–1 | 80.00% |
| ImRandomAsf vs Devil Jin | 4–1 | 80.00% |
| ImRandomAsf vs Lars | 4–1 | 80.00% |
| ImRandomAsf vs Lidia | 3–2 | 60.00% |
| ImRandomAsf vs Heihachi | 5–0 | 100.00% |
| ImRandomAsf vs Miary Zo | 4–1 | 80.00% |
| ImRandomAsf vs Bryan | 3–1 | 75.00% |
| ImRandomAsf vs Feng | 4–0 | 100.00% |
| ImRandomAsf vs Kuma | 3–0 | 100.00% |
| ImRandomAsf vs Leo | 2–0 | 100.00% |
| ImRandomAsf vs Alisa | 2–0 | 100.00% |
| ImRandomAsf vs Clive | 0–2 | 0.00% |
| ImRandomAsf vs Leroy | 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.