| PPARKER vs Dragunov | 199–222 | 47.27% |
| PPARKER vs Kazuya | 209–202 | 50.85% |
| PPARKER vs Jin | 205–193–1 | 51.51% |
| PPARKER vs King | 189–185 | 50.53% |
| PPARKER vs Bryan | 151–172 | 46.75% |
| PPARKER vs Hwoarang | 116–193 | 37.54% |
| PPARKER vs Paul | 124–169 | 42.32% |
| PPARKER vs Reina | 143–124 | 53.56% |
| PPARKER vs Yoshimitsu | 123–119 | 50.83% |
| PPARKER vs Lili | 122–117 | 51.05% |
| PPARKER vs Steve | 104–121 | 46.22% |
| PPARKER vs Law | 90–119 | 43.06% |
| PPARKER vs Asuka | 99–98 | 50.25% |
| PPARKER vs Lars | 81–108 | 42.86% |
| PPARKER vs Feng | 85–98 | 46.45% |
| PPARKER vs Victor | 87–95 | 47.80% |
| PPARKER vs Heihachi | 83–90 | 47.98% |
| PPARKER vs Jun | 74–97 | 43.27% |
| PPARKER vs Lee | 89–79 | 52.98% |
| PPARKER vs Lidia | 72–91 | 44.17% |
| PPARKER vs Devil Jin | 60–83 | 41.96% |
| PPARKER vs Nina | 46–89 | 34.07% |
| PPARKER vs Xiaoyu | 48–84 | 36.36% |
| PPARKER vs Azucena | 61–52 | 53.98% |
| PPARKER vs Claudio | 56–55 | 50.45% |
| PPARKER vs Leo | 48–61 | 44.04% |
| PPARKER vs Jack-8 | 44–61 | 41.90% |
| PPARKER vs Alisa | 31–72 | 30.10% |
| PPARKER vs Leroy | 36–64 | 36.00% |
| PPARKER vs Raven | 47–40 | 54.02% |
| PPARKER vs Shaheen | 41–44 | 48.24% |
| PPARKER vs Eddy | 35–42 | 45.45% |
| PPARKER vs Clive | 34–40 | 45.95% |
| PPARKER vs Kuma | 28–45 | 38.36% |
| PPARKER vs Zafina | 30–36 | 45.45% |
| PPARKER vs Fahkumram | 24–34 | 41.38% |
| PPARKER vs Anna | 19–27 | 41.30% |
| PPARKER vs Panda | 10–12 | 45.45% |
| PPARKER vs Miary Zo | 4–1 | 80.00% |
| PPARKER vs Armor King | 2–1 | 66.67% |
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.