| mq_kun_ vs Bryan | 228–144 | 61.29% |
| mq_kun_ vs Dragunov | 203–103 | 66.34% |
| mq_kun_ vs Kazuya | 157–107–1 | 59.47% |
| mq_kun_ vs Hwoarang | 164–89 | 64.82% |
| mq_kun_ vs Paul | 140–82 | 63.06% |
| mq_kun_ vs Jin | 127–93 | 57.73% |
| mq_kun_ vs King | 154–56 | 73.33% |
| mq_kun_ vs Steve | 122–74 | 62.24% |
| mq_kun_ vs Heihachi | 100–87 | 53.48% |
| mq_kun_ vs Yoshimitsu | 121–62 | 66.12% |
| mq_kun_ vs Asuka | 104–77 | 57.46% |
| mq_kun_ vs Lars | 92–88 | 51.11% |
| mq_kun_ vs Reina | 100–78 | 56.18% |
| mq_kun_ vs Claudio | 104–63 | 62.28% |
| mq_kun_ vs Jun | 99–68 | 59.28% |
| mq_kun_ vs Lee | 88–75 | 53.99% |
| mq_kun_ vs Victor | 81–80 | 50.31% |
| mq_kun_ vs Feng | 86–70 | 55.13% |
| mq_kun_ vs Devil Jin | 97–58 | 62.58% |
| mq_kun_ vs Lili | 81–73 | 52.60% |
| mq_kun_ vs Leroy | 100–42 | 70.42% |
| mq_kun_ vs Alisa | 78–63 | 55.32% |
| mq_kun_ vs Shaheen | 74–65 | 53.24% |
| mq_kun_ vs Law | 92–43–1 | 68.15% |
| mq_kun_ vs Xiaoyu | 60–76 | 44.12% |
| mq_kun_ vs Nina | 90–43 | 67.67% |
| mq_kun_ vs Azucena | 67–66 | 50.38% |
| mq_kun_ vs Eddy | 77–51 | 60.16% |
| mq_kun_ vs Jack-8 | 75–51 | 59.52% |
| mq_kun_ vs Lidia | 64–61 | 51.20% |
| mq_kun_ vs Leo | 66–56 | 54.10% |
| mq_kun_ vs Anna | 65–35 | 65.00% |
| mq_kun_ vs Raven | 53–38 | 58.24% |
| mq_kun_ vs Clive | 41–44 | 48.24% |
| mq_kun_ vs Zafina | 38–44 | 46.34% |
| mq_kun_ vs Fahkumram | 45–35 | 56.25% |
| mq_kun_ vs Kuma | 53–17 | 75.71% |
| mq_kun_ vs Armor King | 34–16 | 68.00% |
| mq_kun_ vs Panda | 18–16 | 52.94% |
| mq_kun_ vs Miary Zo | 3–2 | 60.00% |
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.