| sLeePy1 vs Kazuya | 61–55 | 52.59% |
| sLeePy1 vs Jin | 41–58 | 41.41% |
| sLeePy1 vs Reina | 44–47 | 48.35% |
| sLeePy1 vs Steve | 49–40 | 55.06% |
| sLeePy1 vs Bryan | 44–34 | 56.41% |
| sLeePy1 vs Hwoarang | 40–34 | 54.05% |
| sLeePy1 vs Law | 34–35 | 49.28% |
| sLeePy1 vs King | 20–42 | 32.26% |
| sLeePy1 vs Yoshimitsu | 27–29 | 48.21% |
| sLeePy1 vs Lili | 24–30 | 44.44% |
| sLeePy1 vs Paul | 22–30 | 42.31% |
| sLeePy1 vs Azucena | 25–27 | 48.08% |
| sLeePy1 vs Lee | 27–16 | 62.79% |
| sLeePy1 vs Asuka | 24–17 | 58.54% |
| sLeePy1 vs Jun | 24–16 | 60.00% |
| sLeePy1 vs Victor | 20–20 | 50.00% |
| sLeePy1 vs Xiaoyu | 17–21 | 44.74% |
| sLeePy1 vs Leo | 20–18 | 52.63% |
| sLeePy1 vs Eddy | 13–24 | 35.14% |
| sLeePy1 vs Dragunov | 17–19 | 47.22% |
| sLeePy1 vs Lars | 15–14 | 51.72% |
| sLeePy1 vs Raven | 12–17 | 41.38% |
| sLeePy1 vs Shaheen | 15–12 | 55.56% |
| sLeePy1 vs Devil Jin | 11–14 | 44.00% |
| sLeePy1 vs Feng | 10–14 | 41.67% |
| sLeePy1 vs Nina | 9–15 | 37.50% |
| sLeePy1 vs Alisa | 9–14 | 39.13% |
| sLeePy1 vs Leroy | 7–10 | 41.18% |
| sLeePy1 vs Kuma | 6–10 | 37.50% |
| sLeePy1 vs Zafina | 7–9 | 43.75% |
| sLeePy1 vs Jack-8 | 5–9 | 35.71% |
| sLeePy1 vs Claudio | 7–7 | 50.00% |
| sLeePy1 vs Heihachi | 5–7 | 41.67% |
| sLeePy1 vs Clive | 3–7 | 30.00% |
| sLeePy1 vs Panda | 1–6 | 14.29% |
| sLeePy1 vs Lidia | 1–2 | 33.33% |
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.