| D.arrick vs Jin | 70–67 | 51.09% |
| D.arrick vs King | 57–79 | 41.91% |
| D.arrick vs Reina | 54–63 | 46.15% |
| D.arrick vs Kazuya | 45–65 | 40.91% |
| D.arrick vs Law | 55–49 | 52.88% |
| D.arrick vs Eddy | 33–52 | 38.82% |
| D.arrick vs Steve | 32–48 | 40.00% |
| D.arrick vs Hwoarang | 38–38 | 50.00% |
| D.arrick vs Lars | 37–35 | 51.39% |
| D.arrick vs Paul | 22–49 | 30.99% |
| D.arrick vs Dragunov | 26–42 | 38.24% |
| D.arrick vs Lili | 23–43 | 34.85% |
| D.arrick vs Bryan | 29–33 | 46.77% |
| D.arrick vs Leo | 34–24–1 | 58.62% |
| D.arrick vs Yoshimitsu | 16–37 | 30.19% |
| D.arrick vs Azucena | 28–25 | 52.83% |
| D.arrick vs Asuka | 19–31 | 38.00% |
| D.arrick vs Jun | 23–27 | 46.00% |
| D.arrick vs Feng | 25–24 | 51.02% |
| D.arrick vs Jack-8 | 20–28 | 41.67% |
| D.arrick vs Leroy | 21–25 | 45.65% |
| D.arrick vs Alisa | 26–19 | 57.78% |
| D.arrick vs Devil Jin | 19–25 | 43.18% |
| D.arrick vs Victor | 16–28 | 36.36% |
| D.arrick vs Lee | 20–20 | 50.00% |
| D.arrick vs Kuma | 11–21 | 34.38% |
| D.arrick vs Xiaoyu | 12–19 | 38.71% |
| D.arrick vs Claudio | 17–12 | 58.62% |
| D.arrick vs Nina | 11–15 | 42.31% |
| D.arrick vs Raven | 11–15 | 42.31% |
| D.arrick vs Lidia | 10–11 | 47.62% |
| D.arrick vs Shaheen | 6–7 | 46.15% |
| D.arrick vs Panda | 5–6 | 45.45% |
| D.arrick vs Zafina | 7–3 | 70.00% |
| D.arrick vs Heihachi | 0–1 | 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.