| OROCHI_DOPPO vs King | 77–77 | 50.00% |
| OROCHI_DOPPO vs Kazuya | 79–65 | 54.86% |
| OROCHI_DOPPO vs Jin | 54–84 | 39.13% |
| OROCHI_DOPPO vs Steve | 60–75 | 44.44% |
| OROCHI_DOPPO vs Heihachi | 58–77 | 42.96% |
| OROCHI_DOPPO vs Clive | 60–74 | 44.78% |
| OROCHI_DOPPO vs Hwoarang | 56–57 | 49.56% |
| OROCHI_DOPPO vs Reina | 42–54 | 43.75% |
| OROCHI_DOPPO vs Bryan | 41–48 | 46.07% |
| OROCHI_DOPPO vs Jun | 37–42 | 46.84% |
| OROCHI_DOPPO vs Law | 26–44 | 37.14% |
| OROCHI_DOPPO vs Victor | 26–41 | 38.81% |
| OROCHI_DOPPO vs Azucena | 32–34 | 48.48% |
| OROCHI_DOPPO vs Lidia | 32–33 | 49.23% |
| OROCHI_DOPPO vs Lili | 30–31 | 49.18% |
| OROCHI_DOPPO vs Eddy | 17–44 | 27.87% |
| OROCHI_DOPPO vs Paul | 26–33 | 44.07% |
| OROCHI_DOPPO vs Xiaoyu | 23–36 | 38.98% |
| OROCHI_DOPPO vs Dragunov | 27–30 | 47.37% |
| OROCHI_DOPPO vs Lars | 20–35 | 36.36% |
| OROCHI_DOPPO vs Lee | 23–31 | 42.59% |
| OROCHI_DOPPO vs Asuka | 17–36 | 32.08% |
| OROCHI_DOPPO vs Leroy | 20–28 | 41.67% |
| OROCHI_DOPPO vs Nina | 22–24 | 47.83% |
| OROCHI_DOPPO vs Yoshimitsu | 18–25 | 41.86% |
| OROCHI_DOPPO vs Leo | 17–25 | 40.48% |
| OROCHI_DOPPO vs Alisa | 16–23 | 41.03% |
| OROCHI_DOPPO vs Feng | 9–25 | 26.47% |
| OROCHI_DOPPO vs Raven | 17–14 | 54.84% |
| OROCHI_DOPPO vs Devil Jin | 10–19 | 34.48% |
| OROCHI_DOPPO vs Claudio | 6–17 | 26.09% |
| OROCHI_DOPPO vs Jack-8 | 6–15 | 28.57% |
| OROCHI_DOPPO vs Kuma | 8–12 | 40.00% |
| OROCHI_DOPPO vs Shaheen | 2–12 | 14.29% |
| OROCHI_DOPPO vs Fahkumram | 5–4 | 55.56% |
| OROCHI_DOPPO vs Zafina | 2–3 | 40.00% |
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.