Name history
| Pam_ | |
| MK Ultra | |
| Chidaruma | |
| Simple Jack | |
| New Law player | |
| Xogatus | |
| .... | |
| Sarkastik | |
| SarkastikGenius | |
| #WheresAnna? | |
| New Type | |
| 2L2M-gnAM-Ftan | |
| 3v3 sucks | |
| Zettai Ryõiki |
| Pam_ vs Jin | 137–103 | 57.08% |
| Pam_ vs Kazuya | 114–91 | 55.61% |
| Pam_ vs King | 100–103–1 | 49.26% |
| Pam_ vs Bryan | 102–80–1 | 56.04% |
| Pam_ vs Hwoarang | 94–67 | 58.39% |
| Pam_ vs Reina | 76–78 | 49.35% |
| Pam_ vs Paul | 74–66 | 52.86% |
| Pam_ vs Steve | 64–68 | 48.48% |
| Pam_ vs Law | 68–62 | 52.31% |
| Pam_ vs Lee | 58–58 | 50.00% |
| Pam_ vs Dragunov | 53–55 | 49.07% |
| Pam_ vs Lili | 63–41 | 60.58% |
| Pam_ vs Yoshimitsu | 54–47 | 53.47% |
| Pam_ vs Lars | 49–50 | 49.49% |
| Pam_ vs Lidia | 45–53 | 45.92% |
| Pam_ vs Victor | 49–48 | 50.52% |
| Pam_ vs Azucena | 39–50 | 43.82% |
| Pam_ vs Asuka | 47–41 | 53.41% |
| Pam_ vs Feng | 54–33 | 62.07% |
| Pam_ vs Leroy | 44–40 | 52.38% |
| Pam_ vs Heihachi | 35–46 | 43.21% |
| Pam_ vs Leo | 44–36 | 55.00% |
| Pam_ vs Eddy | 46–32 | 58.97% |
| Pam_ vs Jun | 39–33 | 54.17% |
| Pam_ vs Raven | 33–36 | 47.83% |
| Pam_ vs Jack-8 | 27–34 | 44.26% |
| Pam_ vs Nina | 37–23 | 61.67% |
| Pam_ vs Xiaoyu | 32–21 | 60.38% |
| Pam_ vs Devil Jin | 25–23 | 52.08% |
| Pam_ vs Shaheen | 26–17 | 60.47% |
| Pam_ vs Alisa | 16–18 | 47.06% |
| Pam_ vs Claudio | 14–16 | 46.67% |
| Pam_ vs Zafina | 18–10 | 64.29% |
| Pam_ vs Kuma | 8–11 | 42.11% |
| Pam_ vs Clive | 9–9 | 50.00% |
| Pam_ vs Panda | 4–10 | 28.57% |
| Pam_ vs Fahkumram | 9–3 | 75.00% |
| Pam_ vs Armor King | 3–2 | 60.00% |
| Pam_ vs Anna | 1–2 | 33.33% |
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.