| Quesday vs Dragunov | 78–68 | 53.42% |
| Quesday vs Bryan | 70–68 | 50.72% |
| Quesday vs Jin | 76–61 | 55.47% |
| Quesday vs Leo | 75–61 | 55.15% |
| Quesday vs King | 79–52 | 60.31% |
| Quesday vs Eddy | 54–66 | 45.00% |
| Quesday vs Shaheen | 68–47 | 59.13% |
| Quesday vs Lili | 59–53 | 52.68% |
| Quesday vs Hwoarang | 59–46 | 56.19% |
| Quesday vs Feng | 42–59 | 41.58% |
| Quesday vs Reina | 44–53 | 45.36% |
| Quesday vs Victor | 56–37 | 60.22% |
| Quesday vs Law | 43–44 | 49.43% |
| Quesday vs Xiaoyu | 45–40 | 52.94% |
| Quesday vs Yoshimitsu | 54–25 | 68.35% |
| Quesday vs Alisa | 53–22 | 70.67% |
| Quesday vs Paul | 47–27 | 63.51% |
| Quesday vs Jack-8 | 37–34 | 52.11% |
| Quesday vs Jun | 43–28 | 60.56% |
| Quesday vs Raven | 40–27 | 59.70% |
| Quesday vs Asuka | 33–33 | 50.00% |
| Quesday vs Kazuya | 46–19 | 70.77% |
| Quesday vs Lars | 27–35 | 43.55% |
| Quesday vs Steve | 32–27 | 54.24% |
| Quesday vs Claudio | 30–28 | 51.72% |
| Quesday vs Azucena | 32–25 | 56.14% |
| Quesday vs Nina | 34–22 | 60.71% |
| Quesday vs Lee | 29–27 | 51.79% |
| Quesday vs Zafina | 24–29 | 45.28% |
| Quesday vs Devil Jin | 34–10 | 77.27% |
| Quesday vs Kuma | 18–24 | 42.86% |
| Quesday vs Lidia | 18–23 | 43.90% |
| Quesday vs Leroy | 21–15 | 58.33% |
| Quesday vs Panda | 14–12 | 53.85% |
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.