| mcpork vs Kazuya | 314–262 | 54.51% |
| mcpork vs Bryan | 270–245 | 52.43% |
| mcpork vs Dragunov | 248–258 | 49.01% |
| mcpork vs Jin | 188–250 | 42.92% |
| mcpork vs Hwoarang | 206–205 | 50.12% |
| mcpork vs Paul | 209–196 | 51.60% |
| mcpork vs Steve | 201–162 | 55.37% |
| mcpork vs Asuka | 172–170 | 50.29% |
| mcpork vs Reina | 170–162 | 51.20% |
| mcpork vs King | 191–138 | 58.05% |
| mcpork vs Victor | 117–182 | 39.13% |
| mcpork vs Heihachi | 120–172 | 41.10% |
| mcpork vs Devil Jin | 127–163 | 43.79% |
| mcpork vs Lili | 138–142 | 49.29% |
| mcpork vs Azucena | 139–114 | 54.94% |
| mcpork vs Law | 131–118 | 52.61% |
| mcpork vs Jack-8 | 110–129 | 46.03% |
| mcpork vs Lars | 86–151 | 36.29% |
| mcpork vs Lee | 106–130 | 44.92% |
| mcpork vs Claudio | 108–123 | 46.75% |
| mcpork vs Feng | 126–104 | 54.78% |
| mcpork vs Yoshimitsu | 127–102 | 55.46% |
| mcpork vs Leroy | 122–107 | 53.28% |
| mcpork vs Clive | 98–113 | 46.45% |
| mcpork vs Jun | 107–96 | 52.71% |
| mcpork vs Alisa | 88–112 | 44.00% |
| mcpork vs Xiaoyu | 93–101 | 47.94% |
| mcpork vs Lidia | 97–97 | 50.00% |
| mcpork vs Fahkumram | 85–91 | 48.30% |
| mcpork vs Nina | 87–85 | 50.58% |
| mcpork vs Shaheen | 71–95 | 42.77% |
| mcpork vs Zafina | 79–84 | 48.47% |
| mcpork vs Raven | 94–69 | 57.67% |
| mcpork vs Leo | 85–69 | 55.19% |
| mcpork vs Eddy | 85–67 | 55.92% |
| mcpork vs Kuma | 62–71 | 46.62% |
| mcpork vs Armor King | 68–59 | 53.54% |
| mcpork vs Anna | 59–51 | 53.64% |
| mcpork vs Panda | 35–40 | 46.67% |
| mcpork vs Miary Zo | 29–25 | 53.70% |
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.