| ppD00RN0B vs King | 165–137 | 54.64% |
| ppD00RN0B vs Kazuya | 116–151 | 43.45% |
| ppD00RN0B vs Jin | 98–132 | 42.61% |
| ppD00RN0B vs Reina | 105–121 | 46.46% |
| ppD00RN0B vs Bryan | 113–94 | 54.59% |
| ppD00RN0B vs Steve | 102–94 | 52.04% |
| ppD00RN0B vs Hwoarang | 84–108 | 43.75% |
| ppD00RN0B vs Armor King | 83–78 | 51.55% |
| ppD00RN0B vs Heihachi | 71–77 | 47.97% |
| ppD00RN0B vs Dragunov | 65–79 | 45.14% |
| ppD00RN0B vs Paul | 51–90 | 36.17% |
| ppD00RN0B vs Lili | 73–65 | 52.90% |
| ppD00RN0B vs Law | 67–66 | 50.38% |
| ppD00RN0B vs Lee | 62–66 | 48.44% |
| ppD00RN0B vs Azucena | 52–68 | 43.33% |
| ppD00RN0B vs Yoshimitsu | 51–67 | 43.22% |
| ppD00RN0B vs Lars | 50–63 | 44.25% |
| ppD00RN0B vs Jun | 61–51 | 54.46% |
| ppD00RN0B vs Xiaoyu | 40–68 | 37.04% |
| ppD00RN0B vs Eddy | 30–64 | 31.91% |
| ppD00RN0B vs Fahkumram | 51–42 | 54.84% |
| ppD00RN0B vs Victor | 48–40 | 54.55% |
| ppD00RN0B vs Nina | 34–47 | 41.98% |
| ppD00RN0B vs Raven | 37–41 | 47.44% |
| ppD00RN0B vs Lidia | 32–46 | 41.03% |
| ppD00RN0B vs Asuka | 40–34 | 54.05% |
| ppD00RN0B vs Clive | 28–41 | 40.58% |
| ppD00RN0B vs Alisa | 26–42 | 38.24% |
| ppD00RN0B vs Leroy | 42–24 | 63.64% |
| ppD00RN0B vs Leo | 26–38 | 40.62% |
| ppD00RN0B vs Feng | 27–35 | 43.55% |
| ppD00RN0B vs Jack-8 | 25–35 | 41.67% |
| ppD00RN0B vs Devil Jin | 25–34 | 42.37% |
| ppD00RN0B vs Claudio | 18–33 | 35.29% |
| ppD00RN0B vs Anna | 24–24 | 50.00% |
| ppD00RN0B vs Shaheen | 15–24 | 38.46% |
| ppD00RN0B vs Zafina | 14–24 | 36.84% |
| ppD00RN0B vs Miary Zo | 20–18 | 52.63% |
| ppD00RN0B vs Kuma | 14–12 | 53.85% |
| ppD00RN0B vs Panda | 6–15 | 28.57% |
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.