| LazyAlpaca vs Steve | 8–7 | 53.33% |
| LazyAlpaca vs Jin | 6–6 | 50.00% |
| LazyAlpaca vs Law | 3–8 | 27.27% |
| LazyAlpaca vs Hwoarang | 7–3 | 70.00% |
| LazyAlpaca vs Victor | 5–5 | 50.00% |
| LazyAlpaca vs Armor King | 5–5 | 50.00% |
| LazyAlpaca vs Devil Jin | 3–5 | 37.50% |
| LazyAlpaca vs Dragunov | 3–5 | 37.50% |
| LazyAlpaca vs Kazuya | 4–3 | 57.14% |
| LazyAlpaca vs Lili | 1–5 | 16.67% |
| LazyAlpaca vs Jun | 4–2 | 66.67% |
| LazyAlpaca vs Raven | 3–3 | 50.00% |
| LazyAlpaca vs Xiaoyu | 2–3 | 40.00% |
| LazyAlpaca vs Lee | 3–2 | 60.00% |
| LazyAlpaca vs Azucena | 3–2 | 60.00% |
| LazyAlpaca vs Miary Zo | 2–3 | 40.00% |
| LazyAlpaca vs Asuka | 1–3 | 25.00% |
| LazyAlpaca vs Shaheen | 0–4 | 0.00% |
| LazyAlpaca vs Kuma | 2–2 | 50.00% |
| LazyAlpaca vs Reina | 2–2 | 50.00% |
| LazyAlpaca vs Eddy | 0–4 | 0.00% |
| LazyAlpaca vs Lidia | 2–2 | 50.00% |
| LazyAlpaca vs King | 2–1 | 66.67% |
| LazyAlpaca vs Bryan | 2–1 | 66.67% |
| LazyAlpaca vs Anna | 2–1 | 66.67% |
| LazyAlpaca vs Paul | 0–2 | 0.00% |
| LazyAlpaca vs Feng | 0–2 | 0.00% |
| LazyAlpaca vs Lars | 0–2 | 0.00% |
| LazyAlpaca vs Alisa | 1–1 | 50.00% |
| LazyAlpaca vs Claudio | 2–0 | 100.00% |
| LazyAlpaca vs Leroy | 0–2 | 0.00% |
| LazyAlpaca vs Heihachi | 0–2 | 0.00% |
| LazyAlpaca vs Yoshimitsu | 0–1 | 0.00% |
| LazyAlpaca vs Nina | 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.