| fascinati0n_ vs Jin | 82–69 | 54.30% |
| fascinati0n_ vs Kazuya | 93–40 | 69.92% |
| fascinati0n_ vs Bryan | 61–56 | 52.14% |
| fascinati0n_ vs Eddy | 58–44 | 56.86% |
| fascinati0n_ vs Steve | 55–44 | 55.56% |
| fascinati0n_ vs King | 52–42 | 55.32% |
| fascinati0n_ vs Dragunov | 47–38 | 55.29% |
| fascinati0n_ vs Jun | 47–38 | 55.29% |
| fascinati0n_ vs Hwoarang | 51–32 | 61.45% |
| fascinati0n_ vs Lee | 49–31 | 61.25% |
| fascinati0n_ vs Lidia | 33–46 | 41.77% |
| fascinati0n_ vs Nina | 56–21 | 72.73% |
| fascinati0n_ vs Reina | 43–33 | 56.58% |
| fascinati0n_ vs Yoshimitsu | 41–34 | 54.67% |
| fascinati0n_ vs Law | 51–23 | 68.92% |
| fascinati0n_ vs Devil Jin | 38–30 | 55.88% |
| fascinati0n_ vs Feng | 36–32 | 52.94% |
| fascinati0n_ vs Asuka | 41–24 | 63.08% |
| fascinati0n_ vs Lili | 33–29 | 53.23% |
| fascinati0n_ vs Leroy | 37–21 | 63.79% |
| fascinati0n_ vs Azucena | 29–25 | 53.70% |
| fascinati0n_ vs Xiaoyu | 34–19 | 64.15% |
| fascinati0n_ vs Jack-8 | 26–25 | 50.98% |
| fascinati0n_ vs Leo | 28–22 | 56.00% |
| fascinati0n_ vs Lars | 25–25 | 50.00% |
| fascinati0n_ vs Paul | 32–17 | 65.31% |
| fascinati0n_ vs Heihachi | 28–16 | 63.64% |
| fascinati0n_ vs Alisa | 27–15 | 64.29% |
| fascinati0n_ vs Claudio | 15–22 | 40.54% |
| fascinati0n_ vs Zafina | 17–19 | 47.22% |
| fascinati0n_ vs Clive | 19–15 | 55.88% |
| fascinati0n_ vs Victor | 16–16 | 50.00% |
| fascinati0n_ vs Raven | 13–12 | 52.00% |
| fascinati0n_ vs Kuma | 11–9 | 55.00% |
| fascinati0n_ vs Panda | 8–5 | 61.54% |
| fascinati0n_ vs Shaheen | 5–6 | 45.45% |
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.