| LrgPMT vs Bryan | 378–212 | 64.07% |
| LrgPMT vs Kazuya | 271–156 | 63.47% |
| LrgPMT vs Steve | 226–143 | 61.25% |
| LrgPMT vs King | 197–134 | 59.52% |
| LrgPMT vs Lee | 191–110 | 63.46% |
| LrgPMT vs Dragunov | 161–129 | 55.52% |
| LrgPMT vs Hwoarang | 150–123 | 54.95% |
| LrgPMT vs Jin | 143–93 | 60.59% |
| LrgPMT vs Devil Jin | 135–100 | 57.45% |
| LrgPMT vs Paul | 138–91 | 60.26% |
| LrgPMT vs Law | 133–96 | 58.08% |
| LrgPMT vs Lili | 139–85 | 62.05% |
| LrgPMT vs Reina | 121–88 | 57.89% |
| LrgPMT vs Heihachi | 111–82 | 57.51% |
| LrgPMT vs Lars | 123–65 | 65.43% |
| LrgPMT vs Yoshimitsu | 97–85 | 53.30% |
| LrgPMT vs Feng | 66–74 | 47.14% |
| LrgPMT vs Eddy | 85–47 | 64.39% |
| LrgPMT vs Jun | 75–54 | 58.14% |
| LrgPMT vs Anna | 78–48 | 61.90% |
| LrgPMT vs Clive | 61–54 | 53.04% |
| LrgPMT vs Azucena | 63–51 | 55.26% |
| LrgPMT vs Xiaoyu | 74–39 | 65.49% |
| LrgPMT vs Jack-8 | 60–51 | 54.05% |
| LrgPMT vs Leroy | 60–51 | 54.05% |
| LrgPMT vs Victor | 58–53 | 52.25% |
| LrgPMT vs Claudio | 49–60 | 44.95% |
| LrgPMT vs Nina | 76–31 | 71.03% |
| LrgPMT vs Lidia | 59–43 | 57.84% |
| LrgPMT vs Asuka | 55–44 | 55.56% |
| LrgPMT vs Alisa | 59–36 | 62.11% |
| LrgPMT vs Armor King | 37–58 | 38.95% |
| LrgPMT vs Raven | 54–38 | 58.70% |
| LrgPMT vs Shaheen | 40–48 | 45.45% |
| LrgPMT vs Leo | 32–35 | 47.76% |
| LrgPMT vs Fahkumram | 37–21 | 63.79% |
| LrgPMT vs Kuma | 28–26 | 51.85% |
| LrgPMT vs Zafina | 26–26 | 50.00% |
| LrgPMT vs Panda | 25–14 | 64.10% |
| LrgPMT vs Miary Zo | 8–9 | 47.06% |
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.