| @F40LM YouTube vs King | 26–5 | 83.87% |
| @F40LM YouTube vs Steve | 20–6 | 76.92% |
| @F40LM YouTube vs Kazuya | 18–7 | 72.00% |
| @F40LM YouTube vs Fahkumram | 13–10 | 56.52% |
| @F40LM YouTube vs Reina | 13–6 | 68.42% |
| @F40LM YouTube vs Yoshimitsu | 14–4 | 77.78% |
| @F40LM YouTube vs Hwoarang | 13–5 | 72.22% |
| @F40LM YouTube vs Clive | 10–7 | 58.82% |
| @F40LM YouTube vs Law | 9–6 | 60.00% |
| @F40LM YouTube vs Paul | 9–4 | 69.23% |
| @F40LM YouTube vs Bryan | 9–4 | 69.23% |
| @F40LM YouTube vs Asuka | 10–3 | 76.92% |
| @F40LM YouTube vs Lee | 10–2 | 83.33% |
| @F40LM YouTube vs Azucena | 10–2 | 83.33% |
| @F40LM YouTube vs Eddy | 10–2 | 83.33% |
| @F40LM YouTube vs Jin | 8–3 | 72.73% |
| @F40LM YouTube vs Dragunov | 9–2 | 81.82% |
| @F40LM YouTube vs Claudio | 9–1 | 90.00% |
| @F40LM YouTube vs Jun | 7–3 | 70.00% |
| @F40LM YouTube vs Alisa | 5–4 | 55.56% |
| @F40LM YouTube vs Lidia | 7–1 | 87.50% |
| @F40LM YouTube vs Xiaoyu | 5–1 | 83.33% |
| @F40LM YouTube vs Devil Jin | 4–2 | 66.67% |
| @F40LM YouTube vs Lili | 4–2 | 66.67% |
| @F40LM YouTube vs Leo | 4–2 | 66.67% |
| @F40LM YouTube vs Victor | 6–0 | 100.00% |
| @F40LM YouTube vs Nina | 2–3 | 40.00% |
| @F40LM YouTube vs Heihachi | 4–1 | 80.00% |
| @F40LM YouTube vs Anna | 4–1 | 80.00% |
| @F40LM YouTube vs Lars | 3–0 | 100.00% |
| @F40LM YouTube vs Shaheen | 3–0 | 100.00% |
| @F40LM YouTube vs Leroy | 3–0 | 100.00% |
| @F40LM YouTube vs Armor King | 3–0 | 100.00% |
| @F40LM YouTube vs Jack-8 | 2–0 | 100.00% |
| @F40LM YouTube vs Feng | 0–1 | 0.00% |
| @F40LM YouTube vs Panda | 1–0 | 100.00% |
| @F40LM YouTube vs Zafina | 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.