| shamp vs Bryan | 70–100 | 41.18% |
| shamp vs Kazuya | 69–75 | 47.92% |
| shamp vs King | 76–63 | 54.68% |
| shamp vs Dragunov | 72–57 | 55.81% |
| shamp vs Hwoarang | 47–77 | 37.90% |
| shamp vs Reina | 44–68 | 39.29% |
| shamp vs Paul | 49–50 | 49.49% |
| shamp vs Law | 51–40 | 56.04% |
| shamp vs Lidia | 31–58 | 34.83% |
| shamp vs Asuka | 59–26 | 69.41% |
| shamp vs Lili | 54–29 | 65.06% |
| shamp vs Jun | 41–42 | 49.40% |
| shamp vs Yoshimitsu | 39–43 | 47.56% |
| shamp vs Lars | 33–44 | 42.86% |
| shamp vs Nina | 37–37 | 50.00% |
| shamp vs Alisa | 37–36 | 50.68% |
| shamp vs Jin | 27–45 | 37.50% |
| shamp vs Heihachi | 23–47 | 32.86% |
| shamp vs Steve | 34–34 | 50.00% |
| shamp vs Victor | 17–40 | 29.82% |
| shamp vs Leo | 34–21 | 61.82% |
| shamp vs Feng | 32–21 | 60.38% |
| shamp vs Azucena | 28–24 | 53.85% |
| shamp vs Claudio | 18–32 | 36.00% |
| shamp vs Leroy | 24–26 | 48.00% |
| shamp vs Xiaoyu | 29–19 | 60.42% |
| shamp vs Jack-8 | 15–33 | 31.25% |
| shamp vs Devil Jin | 14–34 | 29.17% |
| shamp vs Eddy | 19–26 | 42.22% |
| shamp vs Lee | 23–21 | 52.27% |
| shamp vs Kuma | 18–20 | 47.37% |
| shamp vs Shaheen | 11–22 | 33.33% |
| shamp vs Raven | 15–17 | 46.88% |
| shamp vs Zafina | 6–23 | 20.69% |
| shamp vs Anna | 12–16 | 42.86% |
| shamp vs Clive | 1–12 | 7.69% |
| shamp vs Panda | 3–5 | 37.50% |
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.