| MoLoo99 vs Hwoarang | 158–126 | 55.63% |
| MoLoo99 vs Bryan | 143–139 | 50.71% |
| MoLoo99 vs Armor King | 163–119 | 57.80% |
| MoLoo99 vs Kazuya | 129–121 | 51.60% |
| MoLoo99 vs Steve | 102–130 | 43.97% |
| MoLoo99 vs Dragunov | 122–101 | 54.71% |
| MoLoo99 vs Jin | 119–82 | 59.20% |
| MoLoo99 vs Heihachi | 87–87 | 50.00% |
| MoLoo99 vs Paul | 102–68 | 60.00% |
| MoLoo99 vs King | 109–57 | 65.66% |
| MoLoo99 vs Asuka | 100–66 | 60.24% |
| MoLoo99 vs Feng | 88–69 | 56.05% |
| MoLoo99 vs Lili | 97–58 | 62.58% |
| MoLoo99 vs Reina | 94–60 | 61.04% |
| MoLoo99 vs Azucena | 76–70 | 52.05% |
| MoLoo99 vs Lars | 90–55 | 62.07% |
| MoLoo99 vs Jack-8 | 78–60 | 56.52% |
| MoLoo99 vs Xiaoyu | 76–55 | 58.02% |
| MoLoo99 vs Clive | 73–57 | 56.15% |
| MoLoo99 vs Nina | 72–57 | 55.81% |
| MoLoo99 vs Victor | 77–47 | 62.10% |
| MoLoo99 vs Yoshimitsu | 77–46 | 62.60% |
| MoLoo99 vs Devil Jin | 61–60 | 50.41% |
| MoLoo99 vs Leroy | 74–47 | 61.16% |
| MoLoo99 vs Lee | 66–54 | 55.00% |
| MoLoo99 vs Claudio | 58–56 | 50.88% |
| MoLoo99 vs Jun | 58–44 | 56.86% |
| MoLoo99 vs Law | 50–41 | 54.95% |
| MoLoo99 vs Eddy | 44–46 | 48.89% |
| MoLoo99 vs Shaheen | 46–43 | 51.69% |
| MoLoo99 vs Fahkumram | 44–44 | 50.00% |
| MoLoo99 vs Raven | 41–41 | 50.00% |
| MoLoo99 vs Kuma | 48–31 | 60.76% |
| MoLoo99 vs Alisa | 43–30 | 58.90% |
| MoLoo99 vs Zafina | 40–31 | 56.34% |
| MoLoo99 vs Leo | 39–30 | 56.52% |
| MoLoo99 vs Anna | 18–40 | 31.03% |
| MoLoo99 vs Lidia | 22–32 | 40.74% |
| MoLoo99 vs Panda | 13–16 | 44.83% |
| MoLoo99 vs Miary Zo | 12–17 | 41.38% |
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.