| parkmh vs Hwoarang | 161–145 | 52.61% |
| parkmh vs Kazuya | 131–126 | 50.97% |
| parkmh vs Bryan | 126–108 | 53.85% |
| parkmh vs Reina | 108–106 | 50.47% |
| parkmh vs Paul | 77–114 | 40.31% |
| parkmh vs King | 76–103 | 42.46% |
| parkmh vs Jin | 73–106 | 40.78% |
| parkmh vs Dragunov | 79–96 | 45.14% |
| parkmh vs Law | 88–80 | 52.38% |
| parkmh vs Lili | 60–72 | 45.45% |
| parkmh vs Steve | 48–75 | 39.02% |
| parkmh vs Yoshimitsu | 65–57 | 53.28% |
| parkmh vs Victor | 50–63 | 44.25% |
| parkmh vs Asuka | 51–61 | 45.54% |
| parkmh vs Azucena | 48–47 | 50.53% |
| parkmh vs Lars | 44–46 | 48.89% |
| parkmh vs Jun | 35–52 | 40.23% |
| parkmh vs Devil Jin | 38–44 | 46.34% |
| parkmh vs Claudio | 43–34 | 55.84% |
| parkmh vs Nina | 38–37 | 50.67% |
| parkmh vs Heihachi | 34–41 | 45.33% |
| parkmh vs Armor King | 31–43 | 41.89% |
| parkmh vs Leroy | 32–37 | 46.38% |
| parkmh vs Leo | 28–37 | 43.08% |
| parkmh vs Jack-8 | 28–36 | 43.75% |
| parkmh vs Alisa | 20–43 | 31.75% |
| parkmh vs Xiaoyu | 31–29 | 51.67% |
| parkmh vs Feng | 20–39 | 33.90% |
| parkmh vs Eddy | 23–34 | 40.35% |
| parkmh vs Fahkumram | 29–28 | 50.88% |
| parkmh vs Lee | 20–27 | 42.55% |
| parkmh vs Lidia | 22–16 | 57.89% |
| parkmh vs Clive | 12–22 | 35.29% |
| parkmh vs Kuma | 10–16 | 38.46% |
| parkmh vs Raven | 7–19 | 26.92% |
| parkmh vs Shaheen | 12–13 | 48.00% |
| parkmh vs Anna | 12–12 | 50.00% |
| parkmh vs Miary Zo | 8–15 | 34.78% |
| parkmh vs Zafina | 7–10 | 41.18% |
| parkmh vs Panda | 6–8 | 42.86% |
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.