| qukixp vs Kazuya | 130–104 | 55.56% |
| qukixp vs Jin | 82–57 | 58.99% |
| qukixp vs Bryan | 45–77 | 36.89% |
| qukixp vs Hwoarang | 56–60 | 48.28% |
| qukixp vs King | 61–52 | 53.98% |
| qukixp vs Reina | 74–39 | 65.49% |
| qukixp vs Steve | 49–42 | 53.85% |
| qukixp vs Dragunov | 42–47 | 47.19% |
| qukixp vs Paul | 37–51 | 42.05% |
| qukixp vs Yoshimitsu | 35–48 | 42.17% |
| qukixp vs Lili | 42–38 | 52.50% |
| qukixp vs Law | 35–30 | 53.85% |
| qukixp vs Asuka | 36–29 | 55.38% |
| qukixp vs Alisa | 27–38 | 41.54% |
| qukixp vs Lee | 32–32 | 50.00% |
| qukixp vs Devil Jin | 30–26 | 53.57% |
| qukixp vs Jun | 33–22 | 60.00% |
| qukixp vs Nina | 29–22 | 56.86% |
| qukixp vs Feng | 22–26 | 45.83% |
| qukixp vs Azucena | 30–18 | 62.50% |
| qukixp vs Raven | 16–24 | 40.00% |
| qukixp vs Xiaoyu | 17–20 | 45.95% |
| qukixp vs Eddy | 15–22 | 40.54% |
| qukixp vs Lars | 21–15 | 58.33% |
| qukixp vs Victor | 14–20 | 41.18% |
| qukixp vs Jack-8 | 14–16 | 46.67% |
| qukixp vs Shaheen | 18–11 | 62.07% |
| qukixp vs Zafina | 10–18 | 35.71% |
| qukixp vs Leroy | 9–14 | 39.13% |
| qukixp vs Claudio | 14–8 | 63.64% |
| qukixp vs Lidia | 11–11 | 50.00% |
| qukixp vs Kuma | 8–10 | 44.44% |
| qukixp vs Panda | 11–6 | 64.71% |
| qukixp vs Leo | 8–8 | 50.00% |
| qukixp vs Heihachi | 1–3 | 25.00% |
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.