| slickmic vs King | 60–58 | 50.85% |
| slickmic vs Reina | 55–39 | 58.51% |
| slickmic vs Jin | 36–53 | 40.45% |
| slickmic vs Law | 44–40 | 52.38% |
| slickmic vs Steve | 39–41 | 48.75% |
| slickmic vs Armor King | 34–35 | 49.28% |
| slickmic vs Jun | 38–30 | 55.88% |
| slickmic vs Bryan | 29–37 | 43.94% |
| slickmic vs Hwoarang | 32–32 | 50.00% |
| slickmic vs Lidia | 32–31 | 50.79% |
| slickmic vs Kazuya | 18–41 | 30.51% |
| slickmic vs Dragunov | 36–20 | 64.29% |
| slickmic vs Yoshimitsu | 27–19–1 | 58.70% |
| slickmic vs Azucena | 22–23 | 48.89% |
| slickmic vs Lee | 21–23 | 47.73% |
| slickmic vs Eddy | 19–25 | 43.18% |
| slickmic vs Lili | 22–17 | 56.41% |
| slickmic vs Alisa | 13–23 | 36.11% |
| slickmic vs Xiaoyu | 16–18 | 47.06% |
| slickmic vs Nina | 19–15 | 55.88% |
| slickmic vs Paul | 15–18 | 45.45% |
| slickmic vs Asuka | 18–15 | 54.55% |
| slickmic vs Miary Zo | 16–16 | 50.00% |
| slickmic vs Heihachi | 18–12 | 60.00% |
| slickmic vs Lars | 12–17 | 41.38% |
| slickmic vs Victor | 9–19 | 32.14% |
| slickmic vs Feng | 2–20 | 9.09% |
| slickmic vs Jack-8 | 8–13 | 38.10% |
| slickmic vs Devil Jin | 10–11 | 47.62% |
| slickmic vs Raven | 8–11 | 42.11% |
| slickmic vs Fahkumram | 7–10 | 41.18% |
| slickmic vs Leroy | 8–8 | 50.00% |
| slickmic vs Anna | 8–8 | 50.00% |
| slickmic vs Claudio | 4–11 | 26.67% |
| slickmic vs Leo | 8–6 | 57.14% |
| slickmic vs Kuma | 2–10 | 16.67% |
| slickmic vs Shaheen | 3–6 | 33.33% |
| slickmic vs Clive | 3–3 | 50.00% |
| slickmic vs Panda | 0–5 | 0.00% |
| slickmic vs Zafina | 1–3 | 25.00% |
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.