| AH_molrang vs Kazuya | 148–145 | 50.51% |
| AH_molrang vs Armor King | 82–139 | 37.10% |
| AH_molrang vs Bryan | 111–102 | 52.11% |
| AH_molrang vs Dragunov | 86–127 | 40.38% |
| AH_molrang vs King | 104–104 | 50.00% |
| AH_molrang vs Jin | 102–97 | 51.26% |
| AH_molrang vs Fahkumram | 85–103 | 45.21% |
| AH_molrang vs Paul | 87–96 | 47.54% |
| AH_molrang vs Hwoarang | 75–94 | 44.38% |
| AH_molrang vs Asuka | 78–77–1 | 50.32% |
| AH_molrang vs Heihachi | 66–75 | 46.81% |
| AH_molrang vs Reina | 69–71 | 49.29% |
| AH_molrang vs Steve | 48–91 | 34.53% |
| AH_molrang vs Lili | 61–64 | 48.80% |
| AH_molrang vs Victor | 49–50 | 49.49% |
| AH_molrang vs Devil Jin | 52–45 | 53.61% |
| AH_molrang vs Yoshimitsu | 45–51 | 46.88% |
| AH_molrang vs Law | 52–43 | 54.74% |
| AH_molrang vs Xiaoyu | 44–41 | 51.76% |
| AH_molrang vs Lee | 37–46 | 44.58% |
| AH_molrang vs Nina | 37–45 | 45.12% |
| AH_molrang vs Miary Zo | 38–40 | 48.72% |
| AH_molrang vs Claudio | 29–46 | 38.67% |
| AH_molrang vs Jun | 38–36 | 51.35% |
| AH_molrang vs Alisa | 40–31 | 56.34% |
| AH_molrang vs Lidia | 31–39–1 | 44.29% |
| AH_molrang vs Anna | 31–38 | 44.93% |
| AH_molrang vs Jack-8 | 23–44 | 34.33% |
| AH_molrang vs Azucena | 33–32 | 50.77% |
| AH_molrang vs Clive | 23–42 | 35.38% |
| AH_molrang vs Feng | 29–33 | 46.77% |
| AH_molrang vs Leroy | 20–37 | 35.09% |
| AH_molrang vs Eddy | 29–18 | 61.70% |
| AH_molrang vs Lars | 19–27 | 41.30% |
| AH_molrang vs Leo | 11–27 | 28.95% |
| AH_molrang vs Shaheen | 24–14 | 63.16% |
| AH_molrang vs Zafina | 18–20 | 47.37% |
| AH_molrang vs Kuma | 13–17 | 43.33% |
| AH_molrang vs Raven | 9–21 | 30.00% |
| AH_molrang vs Panda | 5–9 | 35.71% |
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.