| Dewey Dew vs Bryan | 145–124 | 53.90% |
| Dewey Dew vs Kazuya | 126–142 | 47.01% |
| Dewey Dew vs Hwoarang | 130–126 | 50.78% |
| Dewey Dew vs King | 150–105 | 58.82% |
| Dewey Dew vs Reina | 131–107 | 55.04% |
| Dewey Dew vs Jin | 123–114 | 51.90% |
| Dewey Dew vs Steve | 102–105 | 49.28% |
| Dewey Dew vs Law | 104–87 | 54.45% |
| Dewey Dew vs Yoshimitsu | 94–93 | 50.27% |
| Dewey Dew vs Lee | 95–79 | 54.60% |
| Dewey Dew vs Azucena | 90–66 | 57.69% |
| Dewey Dew vs Paul | 76–78 | 49.35% |
| Dewey Dew vs Lili | 79–69 | 53.38% |
| Dewey Dew vs Devil Jin | 75–67 | 52.82% |
| Dewey Dew vs Heihachi | 57–84 | 40.43% |
| Dewey Dew vs Xiaoyu | 73–60 | 54.89% |
| Dewey Dew vs Lars | 68–62 | 52.31% |
| Dewey Dew vs Nina | 56–71 | 44.09% |
| Dewey Dew vs Asuka | 63–60 | 51.22% |
| Dewey Dew vs Jun | 51–67 | 43.22% |
| Dewey Dew vs Dragunov | 52–64 | 44.83% |
| Dewey Dew vs Raven | 60–53 | 53.10% |
| Dewey Dew vs Leo | 46–56 | 45.10% |
| Dewey Dew vs Victor | 40–51 | 43.96% |
| Dewey Dew vs Jack-8 | 34–40 | 45.95% |
| Dewey Dew vs Alisa | 40–32 | 55.56% |
| Dewey Dew vs Clive | 33–39 | 45.83% |
| Dewey Dew vs Lidia | 34–36 | 48.57% |
| Dewey Dew vs Zafina | 32–32 | 50.00% |
| Dewey Dew vs Feng | 31–30 | 50.82% |
| Dewey Dew vs Kuma | 23–36 | 38.98% |
| Dewey Dew vs Fahkumram | 23–36 | 38.98% |
| Dewey Dew vs Leroy | 32–23 | 58.18% |
| Dewey Dew vs Eddy | 29–25 | 53.70% |
| Dewey Dew vs Claudio | 23–30 | 43.40% |
| Dewey Dew vs Shaheen | 22–30 | 42.31% |
| Dewey Dew vs Anna | 8–17 | 32.00% |
| Dewey Dew vs Panda | 2–8 | 20.00% |
| Dewey Dew vs Armor King | 3–0 | 100.00% |
| Dewey Dew vs Miary Zo | 1–1 | 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.