| MrQuang vs Kazuya | 108–146 | 42.52% |
| MrQuang vs Jin | 85–98 | 46.45% |
| MrQuang vs Bryan | 75–97 | 43.60% |
| MrQuang vs King | 80–83 | 49.08% |
| MrQuang vs Reina | 70–85 | 45.16% |
| MrQuang vs Hwoarang | 47–85 | 35.61% |
| MrQuang vs Steve | 52–76 | 40.62% |
| MrQuang vs Dragunov | 48–63 | 43.24% |
| MrQuang vs Heihachi | 46–59 | 43.81% |
| MrQuang vs Lili | 37–55 | 40.22% |
| MrQuang vs Jun | 26–62 | 29.55% |
| MrQuang vs Lee | 20–64 | 23.81% |
| MrQuang vs Fahkumram | 38–45 | 45.78% |
| MrQuang vs Law | 46–36 | 56.10% |
| MrQuang vs Yoshimitsu | 32–50 | 39.02% |
| MrQuang vs Paul | 32–48 | 40.00% |
| MrQuang vs Victor | 36–37 | 49.32% |
| MrQuang vs Devil Jin | 22–48 | 31.43% |
| MrQuang vs Eddy | 23–45 | 33.82% |
| MrQuang vs Clive | 35–27 | 56.45% |
| MrQuang vs Anna | 33–29 | 53.23% |
| MrQuang vs Azucena | 31–29 | 51.67% |
| MrQuang vs Armor King | 31–29 | 51.67% |
| MrQuang vs Asuka | 37–20 | 64.91% |
| MrQuang vs Nina | 13–31 | 29.55% |
| MrQuang vs Lars | 23–19 | 54.76% |
| MrQuang vs Alisa | 11–27 | 28.95% |
| MrQuang vs Xiaoyu | 12–25 | 32.43% |
| MrQuang vs Claudio | 18–18 | 50.00% |
| MrQuang vs Feng | 15–19 | 44.12% |
| MrQuang vs Lidia | 12–17 | 41.38% |
| MrQuang vs Jack-8 | 12–15 | 44.44% |
| MrQuang vs Leroy | 13–14 | 48.15% |
| MrQuang vs Shaheen | 11–14 | 44.00% |
| MrQuang vs Raven | 6–10 | 37.50% |
| MrQuang vs Panda | 6–9 | 40.00% |
| MrQuang vs Zafina | 4–10 | 28.57% |
| MrQuang vs Kuma | 6–7 | 46.15% |
| MrQuang vs Leo | 4–6 | 40.00% |
| MrQuang vs Miary Zo | 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.