| Slypig vs Kazuya | 68–69 | 49.64% |
| Slypig vs Reina | 75–52 | 59.06% |
| Slypig vs King | 50–68 | 42.37% |
| Slypig vs Steve | 53–46 | 53.54% |
| Slypig vs Dragunov | 45–49 | 47.87% |
| Slypig vs Jin | 46–44 | 51.11% |
| Slypig vs Bryan | 35–43 | 44.87% |
| Slypig vs Hwoarang | 44–28 | 61.11% |
| Slypig vs Law | 34–34 | 50.00% |
| Slypig vs Yoshimitsu | 30–32 | 48.39% |
| Slypig vs Lili | 36–24 | 60.00% |
| Slypig vs Heihachi | 28–28 | 50.00% |
| Slypig vs Jun | 20–33 | 37.74% |
| Slypig vs Lars | 17–34 | 33.33% |
| Slypig vs Paul | 25–22 | 53.19% |
| Slypig vs Azucena | 22–24 | 47.83% |
| Slypig vs Lidia | 20–22 | 47.62% |
| Slypig vs Asuka | 12–27 | 30.77% |
| Slypig vs Lee | 17–20 | 45.95% |
| Slypig vs Leo | 16–20 | 44.44% |
| Slypig vs Feng | 12–23 | 34.29% |
| Slypig vs Alisa | 11–24 | 31.43% |
| Slypig vs Xiaoyu | 17–17 | 50.00% |
| Slypig vs Leroy | 18–16 | 52.94% |
| Slypig vs Eddy | 13–21 | 38.24% |
| Slypig vs Clive | 18–12 | 60.00% |
| Slypig vs Jack-8 | 16–13 | 55.17% |
| Slypig vs Nina | 14–15 | 48.28% |
| Slypig vs Kuma | 12–14 | 46.15% |
| Slypig vs Victor | 9–17 | 34.62% |
| Slypig vs Devil Jin | 7–17 | 29.17% |
| Slypig vs Raven | 6–17 | 26.09% |
| Slypig vs Claudio | 8–13 | 38.10% |
| Slypig vs Shaheen | 9–12 | 42.86% |
| Slypig vs Zafina | 7–5 | 58.33% |
| Slypig vs Panda | 0–4 | 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.