| sleepin larma vs Law | 16–14 | 53.33% |
| sleepin larma vs Kazuya | 13–15 | 46.43% |
| sleepin larma vs Dragunov | 11–16 | 40.74% |
| sleepin larma vs King | 14–11 | 56.00% |
| sleepin larma vs Jin | 10–11 | 47.62% |
| sleepin larma vs Jun | 5–14 | 26.32% |
| sleepin larma vs Reina | 10–9 | 52.63% |
| sleepin larma vs Paul | 10–7 | 58.82% |
| sleepin larma vs Steve | 13–4 | 76.47% |
| sleepin larma vs Armor King | 5–12 | 29.41% |
| sleepin larma vs Eddy | 5–11 | 31.25% |
| sleepin larma vs Victor | 8–6 | 57.14% |
| sleepin larma vs Fahkumram | 5–8 | 38.46% |
| sleepin larma vs Hwoarang | 8–4 | 66.67% |
| sleepin larma vs Lili | 7–5 | 58.33% |
| sleepin larma vs Jack-8 | 7–4 | 63.64% |
| sleepin larma vs Lars | 5–6 | 45.45% |
| sleepin larma vs Xiaoyu | 6–4 | 60.00% |
| sleepin larma vs Bryan | 3–6 | 33.33% |
| sleepin larma vs Miary Zo | 5–4 | 55.56% |
| sleepin larma vs Yoshimitsu | 5–3 | 62.50% |
| sleepin larma vs Leo | 5–3 | 62.50% |
| sleepin larma vs Heihachi | 4–4 | 50.00% |
| sleepin larma vs Asuka | 3–4 | 42.86% |
| sleepin larma vs Feng | 4–3 | 57.14% |
| sleepin larma vs Nina | 5–2 | 71.43% |
| sleepin larma vs Lee | 6–1 | 85.71% |
| sleepin larma vs Lidia | 4–3 | 57.14% |
| sleepin larma vs Raven | 2–4 | 33.33% |
| sleepin larma vs Azucena | 2–2 | 50.00% |
| sleepin larma vs Alisa | 0–3 | 0.00% |
| sleepin larma vs Claudio | 3–0 | 100.00% |
| sleepin larma vs Leroy | 0–3 | 0.00% |
| sleepin larma vs Clive | 1–2 | 33.33% |
| sleepin larma vs Anna | 1–1 | 50.00% |
| sleepin larma vs Devil Jin | 0–1 | 0.00% |
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.