| IAmTrashAsf vs Steve | 31–14 | 68.89% |
| IAmTrashAsf vs Heihachi | 24–17 | 58.54% |
| IAmTrashAsf vs Victor | 14–18 | 43.75% |
| IAmTrashAsf vs King | 20–11 | 64.52% |
| IAmTrashAsf vs Hwoarang | 14–12 | 53.85% |
| IAmTrashAsf vs Reina | 15–7 | 68.18% |
| IAmTrashAsf vs Jin | 13–8 | 61.90% |
| IAmTrashAsf vs Miary Zo | 11–10 | 52.38% |
| IAmTrashAsf vs Bryan | 8–12 | 40.00% |
| IAmTrashAsf vs Kazuya | 9–10 | 47.37% |
| IAmTrashAsf vs Azucena | 7–12 | 36.84% |
| IAmTrashAsf vs Dragunov | 9–9 | 50.00% |
| IAmTrashAsf vs Law | 9–8 | 52.94% |
| IAmTrashAsf vs Jun | 8–9 | 47.06% |
| IAmTrashAsf vs Lidia | 10–7 | 58.82% |
| IAmTrashAsf vs Armor King | 10–5 | 66.67% |
| IAmTrashAsf vs Paul | 8–5 | 61.54% |
| IAmTrashAsf vs Xiaoyu | 9–4 | 69.23% |
| IAmTrashAsf vs Lili | 7–4 | 63.64% |
| IAmTrashAsf vs Yoshimitsu | 3–7 | 30.00% |
| IAmTrashAsf vs Fahkumram | 2–8 | 20.00% |
| IAmTrashAsf vs Claudio | 3–6 | 33.33% |
| IAmTrashAsf vs Eddy | 6–3 | 66.67% |
| IAmTrashAsf vs Devil Jin | 6–2 | 75.00% |
| IAmTrashAsf vs Alisa | 5–3 | 62.50% |
| IAmTrashAsf vs Nina | 6–2 | 75.00% |
| IAmTrashAsf vs Anna | 3–5 | 37.50% |
| IAmTrashAsf vs Jack-8 | 2–5 | 28.57% |
| IAmTrashAsf vs Feng | 2–5 | 28.57% |
| IAmTrashAsf vs Lars | 4–3 | 57.14% |
| IAmTrashAsf vs Raven | 3–4 | 42.86% |
| IAmTrashAsf vs Clive | 4–3 | 57.14% |
| IAmTrashAsf vs Lee | 2–4 | 33.33% |
| IAmTrashAsf vs Zafina | 5–1 | 83.33% |
| IAmTrashAsf vs Leroy | 5–1 | 83.33% |
| IAmTrashAsf vs Kuma | 4–1 | 80.00% |
| IAmTrashAsf vs Asuka | 2–2 | 50.00% |
| IAmTrashAsf vs Leo | 2–2 | 50.00% |
| IAmTrashAsf vs Shaheen | 1–1 | 50.00% |
| IAmTrashAsf vs Panda | 1–1 | 50.00% |
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.