| yosf_asofe vs Steve | 26–17 | 60.47% |
| yosf_asofe vs Jin | 17–14 | 54.84% |
| yosf_asofe vs Kazuya | 11–18 | 37.93% |
| yosf_asofe vs King | 14–11 | 56.00% |
| yosf_asofe vs Bryan | 7–13 | 35.00% |
| yosf_asofe vs Law | 11–6 | 64.71% |
| yosf_asofe vs Dragunov | 6–10 | 37.50% |
| yosf_asofe vs Fahkumram | 5–7 | 41.67% |
| yosf_asofe vs Reina | 8–3 | 72.73% |
| yosf_asofe vs Armor King | 4–7 | 36.36% |
| yosf_asofe vs Paul | 6–4 | 60.00% |
| yosf_asofe vs Hwoarang | 5–5 | 50.00% |
| yosf_asofe vs Lili | 5–5 | 50.00% |
| yosf_asofe vs Victor | 7–3 | 70.00% |
| yosf_asofe vs Azucena | 3–5 | 37.50% |
| yosf_asofe vs Asuka | 4–3 | 57.14% |
| yosf_asofe vs Feng | 2–5 | 28.57% |
| yosf_asofe vs Eddy | 2–5 | 28.57% |
| yosf_asofe vs Heihachi | 3–4 | 42.86% |
| yosf_asofe vs Xiaoyu | 5–1 | 83.33% |
| yosf_asofe vs Jun | 3–3 | 50.00% |
| yosf_asofe vs Clive | 1–5 | 16.67% |
| yosf_asofe vs Anna | 4–2 | 66.67% |
| yosf_asofe vs Devil Jin | 3–2 | 60.00% |
| yosf_asofe vs Yoshimitsu | 2–2 | 50.00% |
| yosf_asofe vs Alisa | 2–2 | 50.00% |
| yosf_asofe vs Lee | 3–1 | 75.00% |
| yosf_asofe vs Lars | 3–0 | 100.00% |
| yosf_asofe vs Shaheen | 1–2 | 33.33% |
| yosf_asofe vs Nina | 0–3 | 0.00% |
| yosf_asofe vs Panda | 1–2 | 33.33% |
| yosf_asofe vs Zafina | 2–1 | 66.67% |
| yosf_asofe vs Jack-8 | 0–2 | 0.00% |
| yosf_asofe vs Miary Zo | 0–2 | 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.