| Shleeptime vs Miary Zo | 20–10 | 66.67% |
| Shleeptime vs King | 18–11 | 62.07% |
| Shleeptime vs Kazuya | 10–19 | 34.48% |
| Shleeptime vs Hwoarang | 10–15 | 40.00% |
| Shleeptime vs Jin | 11–12 | 47.83% |
| Shleeptime vs Law | 10–12 | 45.45% |
| Shleeptime vs Lili | 11–10 | 52.38% |
| Shleeptime vs Dragunov | 11–10 | 52.38% |
| Shleeptime vs Bryan | 9–10 | 47.37% |
| Shleeptime vs Azucena | 12–7 | 63.16% |
| Shleeptime vs Lidia | 3–16 | 15.79% |
| Shleeptime vs Armor King | 8–11 | 42.11% |
| Shleeptime vs Yoshimitsu | 7–9 | 43.75% |
| Shleeptime vs Eddy | 8–8 | 50.00% |
| Shleeptime vs Asuka | 9–6 | 60.00% |
| Shleeptime vs Victor | 6–9 | 40.00% |
| Shleeptime vs Fahkumram | 6–9 | 40.00% |
| Shleeptime vs Reina | 9–5 | 64.29% |
| Shleeptime vs Devil Jin | 7–6 | 53.85% |
| Shleeptime vs Feng | 5–6 | 45.45% |
| Shleeptime vs Lee | 7–3 | 70.00% |
| Shleeptime vs Leroy | 5–5 | 50.00% |
| Shleeptime vs Nina | 3–6 | 33.33% |
| Shleeptime vs Heihachi | 2–7 | 22.22% |
| Shleeptime vs Lars | 3–5 | 37.50% |
| Shleeptime vs Alisa | 3–5 | 37.50% |
| Shleeptime vs Anna | 4–4 | 50.00% |
| Shleeptime vs Paul | 2–5 | 28.57% |
| Shleeptime vs Steve | 3–4 | 42.86% |
| Shleeptime vs Leo | 3–4 | 42.86% |
| Shleeptime vs Raven | 5–2 | 71.43% |
| Shleeptime vs Shaheen | 1–5 | 16.67% |
| Shleeptime vs Jack-8 | 2–3 | 40.00% |
| Shleeptime vs Clive | 2–3 | 40.00% |
| Shleeptime vs Kuma | 0–4 | 0.00% |
| Shleeptime vs Panda | 1–2 | 33.33% |
| Shleeptime vs Jun | 2–1 | 66.67% |
| Shleeptime vs Xiaoyu | 2–0 | 100.00% |
| Shleeptime vs Claudio | 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.