| Quintacylb vs Kazuya | 147–190 | 43.62% |
| Quintacylb vs Jin | 139–165 | 45.72% |
| Quintacylb vs King | 133–142 | 48.36% |
| Quintacylb vs Law | 73–135 | 35.10% |
| Quintacylb vs Armor King | 91–114–1 | 44.39% |
| Quintacylb vs Hwoarang | 74–122 | 37.76% |
| Quintacylb vs Bryan | 91–101 | 47.40% |
| Quintacylb vs Steve | 98–90 | 52.13% |
| Quintacylb vs Heihachi | 76–107 | 41.53% |
| Quintacylb vs Dragunov | 62–89 | 41.06% |
| Quintacylb vs Reina | 67–82 | 44.97% |
| Quintacylb vs Fahkumram | 72–73 | 49.66% |
| Quintacylb vs Yoshimitsu | 74–66 | 52.86% |
| Quintacylb vs Paul | 40–76 | 34.48% |
| Quintacylb vs Jun | 50–66 | 43.10% |
| Quintacylb vs Nina | 50–63 | 44.25% |
| Quintacylb vs Devil Jin | 52–60 | 46.43% |
| Quintacylb vs Lili | 37–72 | 33.94% |
| Quintacylb vs Eddy | 39–66 | 37.14% |
| Quintacylb vs Anna | 40–59 | 40.40% |
| Quintacylb vs Lars | 40–53 | 43.01% |
| Quintacylb vs Azucena | 34–57 | 37.36% |
| Quintacylb vs Xiaoyu | 46–43 | 51.69% |
| Quintacylb vs Victor | 40–49 | 44.94% |
| Quintacylb vs Lee | 38–45 | 45.78% |
| Quintacylb vs Asuka | 30–45 | 40.00% |
| Quintacylb vs Alisa | 28–42 | 40.00% |
| Quintacylb vs Clive | 15–41 | 26.79% |
| Quintacylb vs Leo | 26–26 | 50.00% |
| Quintacylb vs Leroy | 27–25 | 51.92% |
| Quintacylb vs Lidia | 23–29 | 44.23% |
| Quintacylb vs Feng | 28–22 | 56.00% |
| Quintacylb vs Claudio | 22–27 | 44.90% |
| Quintacylb vs Miary Zo | 22–23 | 48.89% |
| Quintacylb vs Raven | 19–20 | 48.72% |
| Quintacylb vs Jack-8 | 15–12 | 55.56% |
| Quintacylb vs Shaheen | 11–15 | 42.31% |
| Quintacylb vs Panda | 10–12 | 45.45% |
| Quintacylb vs Kuma | 8–11 | 42.11% |
| Quintacylb vs Zafina | 7–11 | 38.89% |
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.