| Larska vs Jin | 17–7 | 70.83% |
| Larska vs King | 14–7 | 66.67% |
| Larska vs Kazuya | 13–5 | 72.22% |
| Larska vs Hwoarang | 11–5 | 68.75% |
| Larska vs Dragunov | 9–6 | 60.00% |
| Larska vs Bryan | 12–1 | 92.31% |
| Larska vs Asuka | 13–0 | 100.00% |
| Larska vs Armor King | 11–2 | 84.62% |
| Larska vs Victor | 9–3 | 75.00% |
| Larska vs Xiaoyu | 8–2 | 80.00% |
| Larska vs Steve | 7–2 | 77.78% |
| Larska vs Lili | 9–0 | 100.00% |
| Larska vs Lars | 8–1 | 88.89% |
| Larska vs Jun | 7–2 | 77.78% |
| Larska vs Law | 6–2 | 75.00% |
| Larska vs Nina | 5–3 | 62.50% |
| Larska vs Yoshimitsu | 6–1 | 85.71% |
| Larska vs Alisa | 4–3 | 57.14% |
| Larska vs Azucena | 6–1 | 85.71% |
| Larska vs Claudio | 6–0 | 100.00% |
| Larska vs Leroy | 6–0 | 100.00% |
| Larska vs Reina | 4–2 | 66.67% |
| Larska vs Lidia | 5–1 | 83.33% |
| Larska vs Heihachi | 5–1 | 83.33% |
| Larska vs Jack-8 | 5–0 | 100.00% |
| Larska vs Feng | 3–2 | 60.00% |
| Larska vs Lee | 4–1 | 80.00% |
| Larska vs Clive | 5–0 | 100.00% |
| Larska vs Paul | 4–0 | 100.00% |
| Larska vs Devil Jin | 3–1 | 75.00% |
| Larska vs Eddy | 4–0 | 100.00% |
| Larska vs Kuma | 2–1 | 66.67% |
| Larska vs Panda | 3–0 | 100.00% |
| Larska vs Shaheen | 2–0 | 100.00% |
| Larska vs Zafina | 0–1 | 0.00% |
| Larska vs Raven | 1–0 | 100.00% |
| Larska vs Fahkumram | 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.