| dzzldbe vs Jin | 257–253 | 50.39% |
| dzzldbe vs Bryan | 239–207 | 53.59% |
| dzzldbe vs Kazuya | 170–205 | 45.33% |
| dzzldbe vs Dragunov | 172–193 | 47.12% |
| dzzldbe vs King | 156–198 | 44.07% |
| dzzldbe vs Reina | 127–132 | 49.03% |
| dzzldbe vs Steve | 121–120 | 50.21% |
| dzzldbe vs Law | 93–137 | 40.43% |
| dzzldbe vs Hwoarang | 92–134 | 40.71% |
| dzzldbe vs Clive | 104–120 | 46.43% |
| dzzldbe vs Yoshimitsu | 93–127 | 42.27% |
| dzzldbe vs Heihachi | 85–129 | 39.72% |
| dzzldbe vs Lili | 92–106 | 46.46% |
| dzzldbe vs Asuka | 87–99–1 | 46.77% |
| dzzldbe vs Lee | 99–84 | 54.10% |
| dzzldbe vs Devil Jin | 64–118 | 35.16% |
| dzzldbe vs Jun | 87–88 | 49.71% |
| dzzldbe vs Lars | 78–93 | 45.61% |
| dzzldbe vs Paul | 93–70 | 57.06% |
| dzzldbe vs Armor King | 61–86 | 41.50% |
| dzzldbe vs Claudio | 58–70 | 45.31% |
| dzzldbe vs Feng | 46–78 | 37.10% |
| dzzldbe vs Lidia | 59–64 | 47.97% |
| dzzldbe vs Victor | 47–73 | 39.17% |
| dzzldbe vs Leo | 44–62 | 41.51% |
| dzzldbe vs Azucena | 44–48 | 47.83% |
| dzzldbe vs Alisa | 40–51 | 43.96% |
| dzzldbe vs Xiaoyu | 40–46 | 46.51% |
| dzzldbe vs Shaheen | 38–47 | 44.71% |
| dzzldbe vs Nina | 34–50 | 40.48% |
| dzzldbe vs Raven | 32–50 | 39.02% |
| dzzldbe vs Fahkumram | 24–56 | 30.00% |
| dzzldbe vs Eddy | 33–46 | 41.77% |
| dzzldbe vs Leroy | 22–44 | 33.33% |
| dzzldbe vs Anna | 20–43 | 31.75% |
| dzzldbe vs Jack-8 | 29–32 | 47.54% |
| dzzldbe vs Kuma | 20–30 | 40.00% |
| dzzldbe vs Zafina | 10–29 | 25.64% |
| dzzldbe vs Panda | 3–11 | 21.43% |
| dzzldbe vs Miary Zo | 0–2 | 0.00% |
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.