| QPlun vs Dragunov | 71–55 | 56.35% |
| QPlun vs Bryan | 45–55 | 45.00% |
| QPlun vs Kazuya | 49–49 | 50.00% |
| QPlun vs Reina | 60–32 | 65.22% |
| QPlun vs Jin | 28–56 | 33.33% |
| QPlun vs Lili | 46–37 | 55.42% |
| QPlun vs Paul | 37–39 | 48.68% |
| QPlun vs King | 42–29 | 59.15% |
| QPlun vs Victor | 39–32 | 54.93% |
| QPlun vs Eddy | 40–29 | 57.97% |
| QPlun vs Yoshimitsu | 40–26 | 60.61% |
| QPlun vs Xiaoyu | 31–34 | 47.69% |
| QPlun vs Jun | 45–18 | 71.43% |
| QPlun vs Azucena | 41–16 | 71.93% |
| QPlun vs Claudio | 26–30 | 46.43% |
| QPlun vs Hwoarang | 23–30–1 | 43.40% |
| QPlun vs Lidia | 24–28 | 46.15% |
| QPlun vs Devil Jin | 24–26 | 48.00% |
| QPlun vs Feng | 21–28 | 42.86% |
| QPlun vs Lee | 23–26 | 46.94% |
| QPlun vs Asuka | 21–22 | 48.84% |
| QPlun vs Steve | 26–16 | 61.90% |
| QPlun vs Lars | 24–16 | 60.00% |
| QPlun vs Law | 15–23 | 39.47% |
| QPlun vs Alisa | 18–19 | 48.65% |
| QPlun vs Leo | 22–14 | 61.11% |
| QPlun vs Jack-8 | 14–17 | 45.16% |
| QPlun vs Raven | 14–17 | 45.16% |
| QPlun vs Leroy | 12–14 | 46.15% |
| QPlun vs Shaheen | 4–21 | 16.00% |
| QPlun vs Nina | 11–13 | 45.83% |
| QPlun vs Panda | 6–12 | 33.33% |
| QPlun vs Zafina | 8–10 | 44.44% |
| QPlun vs Clive | 6–10 | 37.50% |
| QPlun vs Kuma | 8–7 | 53.33% |
| QPlun vs Heihachi | 6–3 | 66.67% |
| QPlun vs Anna | 3–1 | 75.00% |
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.