| ScaLPeL vs Bryan | 129–124 | 50.99% |
| ScaLPeL vs King | 84–109 | 43.52% |
| ScaLPeL vs Steve | 98–57 | 63.23% |
| ScaLPeL vs Armor King | 62–67 | 48.06% |
| ScaLPeL vs Kazuya | 67–59 | 53.17% |
| ScaLPeL vs Heihachi | 65–43 | 60.19% |
| ScaLPeL vs Paul | 43–63 | 40.57% |
| ScaLPeL vs Jin | 58–41 | 58.59% |
| ScaLPeL vs Law | 43–51 | 45.74% |
| ScaLPeL vs Dragunov | 47–42 | 52.81% |
| ScaLPeL vs Lars | 53–36 | 59.55% |
| ScaLPeL vs Raven | 28–55 | 33.73% |
| ScaLPeL vs Hwoarang | 36–40 | 47.37% |
| ScaLPeL vs Lili | 43–32 | 57.33% |
| ScaLPeL vs Lee | 40–34 | 54.05% |
| ScaLPeL vs Xiaoyu | 37–27 | 57.81% |
| ScaLPeL vs Reina | 32–32 | 50.00% |
| ScaLPeL vs Eddy | 35–28 | 55.56% |
| ScaLPeL vs Fahkumram | 33–28 | 54.10% |
| ScaLPeL vs Nina | 30–28 | 51.72% |
| ScaLPeL vs Devil Jin | 23–34 | 40.35% |
| ScaLPeL vs Clive | 31–25 | 55.36% |
| ScaLPeL vs Alisa | 27–27 | 50.00% |
| ScaLPeL vs Victor | 22–32 | 40.74% |
| ScaLPeL vs Yoshimitsu | 31–20 | 60.78% |
| ScaLPeL vs Asuka | 20–26 | 43.48% |
| ScaLPeL vs Jack-8 | 23–20 | 53.49% |
| ScaLPeL vs Shaheen | 22–21 | 51.16% |
| ScaLPeL vs Jun | 11–32 | 25.58% |
| ScaLPeL vs Kuma | 17–23 | 42.50% |
| ScaLPeL vs Anna | 12–28 | 30.00% |
| ScaLPeL vs Feng | 17–21 | 44.74% |
| ScaLPeL vs Miary Zo | 13–20 | 39.39% |
| ScaLPeL vs Claudio | 16–13 | 55.17% |
| ScaLPeL vs Azucena | 13–16 | 44.83% |
| ScaLPeL vs Lidia | 21–8 | 72.41% |
| ScaLPeL vs Zafina | 10–16 | 38.46% |
| ScaLPeL vs Leroy | 18–8 | 69.23% |
| ScaLPeL vs Leo | 16–6 | 72.73% |
| ScaLPeL vs Panda | 5–13 | 27.78% |
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.