| Pamela vs Bryan | 441–424 | 50.98% |
| Pamela vs Hwoarang | 455–349 | 56.59% |
| Pamela vs Kazuya | 407–377–1 | 51.91% |
| Pamela vs Paul | 463–304 | 60.37% |
| Pamela vs Jin | 397–368 | 51.90% |
| Pamela vs Dragunov | 362–358 | 50.28% |
| Pamela vs Fahkumram | 314–199 | 61.21% |
| Pamela vs Steve | 256–236 | 52.03% |
| Pamela vs Heihachi | 269–222 | 54.79% |
| Pamela vs Reina | 240–192 | 55.56% |
| Pamela vs King | 202–216 | 48.33% |
| Pamela vs Armor King | 201–206 | 49.39% |
| Pamela vs Devil Jin | 173–230 | 42.93% |
| Pamela vs Law | 154–219 | 41.29% |
| Pamela vs Leroy | 208–165 | 55.76% |
| Pamela vs Asuka | 153–200 | 43.34% |
| Pamela vs Lee | 148–203 | 42.17% |
| Pamela vs Jack-8 | 167–180 | 48.13% |
| Pamela vs Clive | 173–153 | 53.07% |
| Pamela vs Feng | 139–169 | 45.13% |
| Pamela vs Victor | 146–157–1 | 48.18% |
| Pamela vs Claudio | 165–128 | 56.31% |
| Pamela vs Lili | 139–149 | 48.26% |
| Pamela vs Lars | 101–155 | 39.45% |
| Pamela vs Yoshimitsu | 111–133 | 45.49% |
| Pamela vs Azucena | 111–125 | 47.03% |
| Pamela vs Lidia | 98–134 | 42.24% |
| Pamela vs Jun | 98–129 | 43.17% |
| Pamela vs Miary Zo | 112–92 | 54.90% |
| Pamela vs Nina | 91–106 | 46.19% |
| Pamela vs Leo | 93–99 | 48.44% |
| Pamela vs Shaheen | 75–95 | 44.12% |
| Pamela vs Xiaoyu | 70–90–1 | 43.75% |
| Pamela vs Alisa | 61–95 | 39.10% |
| Pamela vs Raven | 58–83 | 41.13% |
| Pamela vs Kuma | 54–84 | 39.13% |
| Pamela vs Eddy | 46–88 | 34.33% |
| Pamela vs Anna | 47–71 | 39.83% |
| Pamela vs Zafina | 19–45 | 29.69% |
| Pamela vs Panda | 20–32 | 38.46% |
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.