| imtrashngl vs Steve | 9–1 | 90.00% |
| imtrashngl vs King | 4–5 | 44.44% |
| imtrashngl vs Bryan | 5–4 | 55.56% |
| imtrashngl vs Eddy | 5–2 | 71.43% |
| imtrashngl vs Alisa | 5–1 | 83.33% |
| imtrashngl vs Lidia | 2–4 | 33.33% |
| imtrashngl vs Hwoarang | 5–0 | 100.00% |
| imtrashngl vs Asuka | 5–0 | 100.00% |
| imtrashngl vs Lili | 2–3 | 40.00% |
| imtrashngl vs Law | 2–2 | 50.00% |
| imtrashngl vs Jin | 4–0 | 100.00% |
| imtrashngl vs Kazuya | 1–3 | 25.00% |
| imtrashngl vs Devil Jin | 4–0 | 100.00% |
| imtrashngl vs Claudio | 4–0 | 100.00% |
| imtrashngl vs Heihachi | 2–2 | 50.00% |
| imtrashngl vs Paul | 2–1 | 66.67% |
| imtrashngl vs Yoshimitsu | 0–3 | 0.00% |
| imtrashngl vs Lars | 3–0 | 100.00% |
| imtrashngl vs Kuma | 3–0 | 100.00% |
| imtrashngl vs Jun | 1–2 | 33.33% |
| imtrashngl vs Miary Zo | 1–2 | 33.33% |
| imtrashngl vs Xiaoyu | 0–2 | 0.00% |
| imtrashngl vs Jack-8 | 2–0 | 100.00% |
| imtrashngl vs Dragunov | 2–0 | 100.00% |
| imtrashngl vs Leo | 2–0 | 100.00% |
| imtrashngl vs Nina | 2–0 | 100.00% |
| imtrashngl vs Zafina | 2–0 | 100.00% |
| imtrashngl vs Azucena | 2–0 | 100.00% |
| imtrashngl vs Victor | 2–0 | 100.00% |
| imtrashngl vs Anna | 2–0 | 100.00% |
| imtrashngl vs Feng | 1–0 | 100.00% |
| imtrashngl vs Leroy | 0–1 | 0.00% |
| imtrashngl vs Clive | 0–1 | 0.00% |
| imtrashngl vs Armor King | 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.