| Shalco vs Kazuya | 107–86 | 55.44% |
| Shalco vs Jin | 76–88 | 46.34% |
| Shalco vs Reina | 77–78 | 49.68% |
| Shalco vs Yoshimitsu | 66–56 | 54.10% |
| Shalco vs Hwoarang | 50–71 | 41.32% |
| Shalco vs King | 50–62 | 44.64% |
| Shalco vs Bryan | 62–49 | 55.86% |
| Shalco vs Paul | 57–50 | 53.27% |
| Shalco vs Dragunov | 46–56 | 45.10% |
| Shalco vs Law | 48–50 | 48.98% |
| Shalco vs Steve | 44–51 | 46.32% |
| Shalco vs Lee | 38–40 | 48.72% |
| Shalco vs Lili | 35–34 | 50.72% |
| Shalco vs Devil Jin | 35–29 | 54.69% |
| Shalco vs Feng | 28–32 | 46.67% |
| Shalco vs Xiaoyu | 28–29 | 49.12% |
| Shalco vs Lidia | 33–24 | 57.89% |
| Shalco vs Jun | 31–24 | 56.36% |
| Shalco vs Lars | 22–32 | 40.74% |
| Shalco vs Raven | 26–27 | 49.06% |
| Shalco vs Asuka | 27–24 | 52.94% |
| Shalco vs Eddy | 23–28 | 45.10% |
| Shalco vs Azucena | 38–12 | 76.00% |
| Shalco vs Victor | 27–22 | 55.10% |
| Shalco vs Nina | 24–23 | 51.06% |
| Shalco vs Alisa | 26–20 | 56.52% |
| Shalco vs Zafina | 16–29 | 35.56% |
| Shalco vs Claudio | 13–27 | 32.50% |
| Shalco vs Leroy | 23–17 | 57.50% |
| Shalco vs Jack-8 | 18–21 | 46.15% |
| Shalco vs Heihachi | 28–11 | 71.79% |
| Shalco vs Shaheen | 20–18 | 52.63% |
| Shalco vs Leo | 19–15 | 55.88% |
| Shalco vs Kuma | 11–20 | 35.48% |
| Shalco vs Clive | 2–3 | 40.00% |
| Shalco vs Panda | 2–2 | 50.00% |
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.