| LarsaPerdere vs Jun | 12–6 | 66.67% |
| LarsaPerdere vs King | 13–4 | 76.47% |
| LarsaPerdere vs Lili | 15–1 | 93.75% |
| LarsaPerdere vs Paul | 11–4 | 73.33% |
| LarsaPerdere vs Reina | 10–5 | 66.67% |
| LarsaPerdere vs Bryan | 11–1 | 91.67% |
| LarsaPerdere vs Azucena | 10–2 | 83.33% |
| LarsaPerdere vs Jin | 8–3 | 72.73% |
| LarsaPerdere vs Law | 6–4 | 60.00% |
| LarsaPerdere vs Yoshimitsu | 9–1 | 90.00% |
| LarsaPerdere vs Lee | 6–4 | 60.00% |
| LarsaPerdere vs Victor | 8–2 | 80.00% |
| LarsaPerdere vs Hwoarang | 7–2 | 77.78% |
| LarsaPerdere vs Asuka | 5–4 | 55.56% |
| LarsaPerdere vs Lars | 8–1 | 88.89% |
| LarsaPerdere vs Nina | 6–3 | 66.67% |
| LarsaPerdere vs Dragunov | 3–4 | 42.86% |
| LarsaPerdere vs Leo | 4–3 | 57.14% |
| LarsaPerdere vs Kazuya | 4–2 | 66.67% |
| LarsaPerdere vs Kuma | 5–0 | 100.00% |
| LarsaPerdere vs Xiaoyu | 4–0 | 100.00% |
| LarsaPerdere vs Steve | 2–2 | 50.00% |
| LarsaPerdere vs Feng | 2–2 | 50.00% |
| LarsaPerdere vs Jack-8 | 2–1 | 66.67% |
| LarsaPerdere vs Devil Jin | 2–1 | 66.67% |
| LarsaPerdere vs Claudio | 1–2 | 33.33% |
| LarsaPerdere vs Leroy | 3–0 | 100.00% |
| LarsaPerdere vs Eddy | 2–1 | 66.67% |
| LarsaPerdere vs Heihachi | 2–1 | 66.67% |
| LarsaPerdere vs Alisa | 2–0 | 100.00% |
| LarsaPerdere vs Zafina | 1–1 | 50.00% |
| LarsaPerdere vs Raven | 2–0 | 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.