| ParkieJ vs Steve | 128–85 | 60.09% |
| ParkieJ vs Jin | 102–99 | 50.75% |
| ParkieJ vs King | 112–87 | 56.28% |
| ParkieJ vs Kazuya | 98–87 | 52.97% |
| ParkieJ vs Reina | 102–78–1 | 56.67% |
| ParkieJ vs Heihachi | 75–94 | 44.38% |
| ParkieJ vs Hwoarang | 78–63 | 55.32% |
| ParkieJ vs Bryan | 64–71 | 47.41% |
| ParkieJ vs Lili | 65–59 | 52.42% |
| ParkieJ vs Law | 58–55 | 51.33% |
| ParkieJ vs Asuka | 65–48 | 57.52% |
| ParkieJ vs Jun | 57–52 | 52.29% |
| ParkieJ vs Azucena | 63–42 | 60.00% |
| ParkieJ vs Dragunov | 49–46 | 51.58% |
| ParkieJ vs Nina | 52–41 | 55.91% |
| ParkieJ vs Eddy | 42–45 | 48.28% |
| ParkieJ vs Victor | 36–47 | 43.37% |
| ParkieJ vs Lidia | 51–32 | 61.45% |
| ParkieJ vs Paul | 41–41 | 50.00% |
| ParkieJ vs Lee | 43–38 | 53.09% |
| ParkieJ vs Yoshimitsu | 39–38 | 50.65% |
| ParkieJ vs Leroy | 44–32 | 57.89% |
| ParkieJ vs Clive | 42–33 | 56.00% |
| ParkieJ vs Lars | 39–32 | 54.93% |
| ParkieJ vs Xiaoyu | 36–34 | 51.43% |
| ParkieJ vs Leo | 35–32 | 52.24% |
| ParkieJ vs Miary Zo | 41–17 | 70.69% |
| ParkieJ vs Feng | 21–34 | 38.18% |
| ParkieJ vs Fahkumram | 40–14 | 74.07% |
| ParkieJ vs Devil Jin | 29–24 | 54.72% |
| ParkieJ vs Raven | 24–27 | 47.06% |
| ParkieJ vs Alisa | 23–27 | 46.00% |
| ParkieJ vs Kuma | 35–14 | 71.43% |
| ParkieJ vs Claudio | 27–21 | 56.25% |
| ParkieJ vs Anna | 26–18 | 59.09% |
| ParkieJ vs Armor King | 26–18 | 59.09% |
| ParkieJ vs Jack-8 | 21–20 | 51.22% |
| ParkieJ vs Zafina | 18–17 | 51.43% |
| ParkieJ vs Shaheen | 13–7 | 65.00% |
| ParkieJ vs Panda | 6–10 | 37.50% |
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.