| Slick Moranis vs Reina | 9–25 | 26.47% |
| Slick Moranis vs Law | 11–20 | 35.48% |
| Slick Moranis vs Steve | 10–20 | 33.33% |
| Slick Moranis vs King | 10–18 | 35.71% |
| Slick Moranis vs Kazuya | 7–19 | 26.92% |
| Slick Moranis vs Jun | 7–18 | 28.00% |
| Slick Moranis vs Eddy | 7–18 | 28.00% |
| Slick Moranis vs Hwoarang | 4–16 | 20.00% |
| Slick Moranis vs Azucena | 9–9 | 50.00% |
| Slick Moranis vs Jin | 3–14 | 17.65% |
| Slick Moranis vs Lee | 6–11 | 35.29% |
| Slick Moranis vs Nina | 5–10 | 33.33% |
| Slick Moranis vs Leo | 5–9 | 35.71% |
| Slick Moranis vs Xiaoyu | 4–9 | 30.77% |
| Slick Moranis vs Lili | 3–10 | 23.08% |
| Slick Moranis vs Claudio | 2–11 | 15.38% |
| Slick Moranis vs Victor | 2–11 | 15.38% |
| Slick Moranis vs Paul | 1–11 | 8.33% |
| Slick Moranis vs Dragunov | 4–6 | 40.00% |
| Slick Moranis vs Yoshimitsu | 6–3 | 66.67% |
| Slick Moranis vs Bryan | 0–9 | 0.00% |
| Slick Moranis vs Alisa | 3–6 | 33.33% |
| Slick Moranis vs Jack-8 | 3–5 | 37.50% |
| Slick Moranis vs Asuka | 2–5 | 28.57% |
| Slick Moranis vs Kuma | 2–5 | 28.57% |
| Slick Moranis vs Leroy | 1–5 | 16.67% |
| Slick Moranis vs Devil Jin | 1–4 | 20.00% |
| Slick Moranis vs Feng | 1–4 | 20.00% |
| Slick Moranis vs Shaheen | 2–1 | 66.67% |
| Slick Moranis vs Panda | 0–3 | 0.00% |
| Slick Moranis vs Raven | 1–2 | 33.33% |
| Slick Moranis vs Lars | 0–2 | 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.