| covid19 vs Lars | 11–2 | 84.62% |
| covid19 vs Steve | 4–7 | 36.36% |
| covid19 vs Fahkumram | 2–9 | 18.18% |
| covid19 vs King | 4–5 | 44.44% |
| covid19 vs Jun | 3–5 | 37.50% |
| covid19 vs Azucena | 3–5 | 37.50% |
| covid19 vs Hwoarang | 4–1 | 80.00% |
| covid19 vs Bryan | 1–4 | 20.00% |
| covid19 vs Eddy | 1–4 | 20.00% |
| covid19 vs Yoshimitsu | 4–0 | 100.00% |
| covid19 vs Leo | 0–4 | 0.00% |
| covid19 vs Raven | 2–2 | 50.00% |
| covid19 vs Jin | 1–2 | 33.33% |
| covid19 vs Lili | 2–1 | 66.67% |
| covid19 vs Kazuya | 0–2 | 0.00% |
| covid19 vs Devil Jin | 1–1 | 50.00% |
| covid19 vs Feng | 2–0 | 100.00% |
| covid19 vs Dragunov | 0–2 | 0.00% |
| covid19 vs Reina | 0–2 | 0.00% |
| covid19 vs Law | 1–0 | 100.00% |
| covid19 vs Lee | 1–0 | 100.00% |
| covid19 vs Heihachi | 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.