| makld vs Hwoarang | 172–213 | 44.68% |
| makld vs King | 172–199 | 46.36% |
| makld vs Dragunov | 156–197 | 44.19% |
| makld vs Jin | 181–169–1 | 51.71% |
| makld vs Paul | 176–165 | 51.61% |
| makld vs Asuka | 203–126 | 61.70% |
| makld vs Bryan | 136–190 | 41.72% |
| makld vs Reina | 181–132 | 57.83% |
| makld vs Kazuya | 167–145 | 53.53% |
| makld vs Jun | 148–142 | 51.03% |
| makld vs Victor | 136–152 | 47.22% |
| makld vs Lili | 147–135 | 52.13% |
| makld vs Law | 124–142 | 46.62% |
| makld vs Lars | 121–122 | 49.79% |
| makld vs Alisa | 102–135 | 43.04% |
| makld vs Eddy | 107–128 | 45.53% |
| makld vs Steve | 104–129 | 44.64% |
| makld vs Yoshimitsu | 96–133–1 | 41.92% |
| makld vs Nina | 90–110 | 45.00% |
| makld vs Feng | 98–96 | 50.52% |
| makld vs Azucena | 100–77 | 56.50% |
| makld vs Lidia | 78–94 | 45.35% |
| makld vs Devil Jin | 83–87 | 48.82% |
| makld vs Leroy | 86–83 | 50.89% |
| makld vs Leo | 79–79 | 50.00% |
| makld vs Xiaoyu | 89–68 | 56.69% |
| makld vs Jack-8 | 63–86 | 42.28% |
| makld vs Lee | 69–79 | 46.62% |
| makld vs Zafina | 66–66 | 50.00% |
| makld vs Claudio | 46–81 | 36.22% |
| makld vs Heihachi | 55–60 | 47.83% |
| makld vs Clive | 58–51 | 53.21% |
| makld vs Raven | 38–55 | 40.86% |
| makld vs Kuma | 27–42 | 39.13% |
| makld vs Shaheen | 29–36 | 44.62% |
| makld vs Panda | 22–34 | 39.29% |
| makld vs Fahkumram | 22–21 | 51.16% |
| makld vs Anna | 20–21 | 48.78% |
| makld vs Armor King | 5–10 | 33.33% |
| makld vs Miary Zo | 5–5 | 50.00% |
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.