| MallardDew vs Bryan | 102–159 | 39.08% |
| MallardDew vs King | 102–132 | 43.59% |
| MallardDew vs Reina | 103–112 | 47.91% |
| MallardDew vs Kazuya | 91–121 | 42.92% |
| MallardDew vs Jin | 100–110 | 47.62% |
| MallardDew vs Steve | 82–100 | 45.05% |
| MallardDew vs Law | 58–78 | 42.65% |
| MallardDew vs Lili | 52–83 | 38.52% |
| MallardDew vs Heihachi | 62–70 | 46.97% |
| MallardDew vs Yoshimitsu | 65–66 | 49.62% |
| MallardDew vs Eddy | 61–66–1 | 48.03% |
| MallardDew vs Hwoarang | 52–69 | 42.98% |
| MallardDew vs Dragunov | 45–73 | 38.14% |
| MallardDew vs Jun | 44–73 | 37.61% |
| MallardDew vs Azucena | 39–58 | 40.21% |
| MallardDew vs Nina | 41–55 | 42.71% |
| MallardDew vs Asuka | 43–51 | 45.74% |
| MallardDew vs Lee | 37–49 | 43.02% |
| MallardDew vs Devil Jin | 32–49 | 39.51% |
| MallardDew vs Xiaoyu | 27–49 | 35.53% |
| MallardDew vs Lidia | 27–49 | 35.53% |
| MallardDew vs Paul | 34–40 | 45.95% |
| MallardDew vs Clive | 27–45 | 37.50% |
| MallardDew vs Leroy | 23–44 | 34.33% |
| MallardDew vs Victor | 22–44 | 33.33% |
| MallardDew vs Lars | 22–42 | 34.38% |
| MallardDew vs Leo | 32–31 | 50.79% |
| MallardDew vs Alisa | 23–36 | 38.98% |
| MallardDew vs Jack-8 | 18–39 | 31.58% |
| MallardDew vs Feng | 24–26 | 48.00% |
| MallardDew vs Zafina | 18–29 | 38.30% |
| MallardDew vs Kuma | 19–25 | 43.18% |
| MallardDew vs Raven | 14–27 | 34.15% |
| MallardDew vs Claudio | 18–18 | 50.00% |
| MallardDew vs Anna | 13–20 | 39.39% |
| MallardDew vs Fahkumram | 10–18 | 35.71% |
| MallardDew vs Shaheen | 14–11 | 56.00% |
| MallardDew vs Panda | 9–10 | 47.37% |
| MallardDew vs Miary Zo | 2–2 | 50.00% |
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.