| LamourLazy vs Jin | 181–144 | 55.69% |
| LamourLazy vs Dragunov | 138–130 | 51.49% |
| LamourLazy vs Kazuya | 116–143 | 44.79% |
| LamourLazy vs Armor King | 114–140 | 44.88% |
| LamourLazy vs Bryan | 128–115 | 52.67% |
| LamourLazy vs Law | 107–96 | 52.71% |
| LamourLazy vs King | 84–107 | 43.98% |
| LamourLazy vs Lili | 89–97 | 47.85% |
| LamourLazy vs Reina | 90–84 | 51.72% |
| LamourLazy vs Heihachi | 77–87 | 46.95% |
| LamourLazy vs Steve | 71–89 | 44.38% |
| LamourLazy vs Lars | 82–71 | 53.59% |
| LamourLazy vs Fahkumram | 89–49 | 64.49% |
| LamourLazy vs Paul | 65–69 | 48.51% |
| LamourLazy vs Hwoarang | 62–59 | 51.24% |
| LamourLazy vs Yoshimitsu | 44–71 | 38.26% |
| LamourLazy vs Devil Jin | 53–60 | 46.90% |
| LamourLazy vs Victor | 55–54 | 50.46% |
| LamourLazy vs Lee | 69–37 | 65.09% |
| LamourLazy vs Asuka | 44–46 | 48.89% |
| LamourLazy vs Claudio | 46–38 | 54.76% |
| LamourLazy vs Xiaoyu | 43–40 | 51.81% |
| LamourLazy vs Leo | 42–36 | 53.85% |
| LamourLazy vs Jun | 37–41 | 47.44% |
| LamourLazy vs Leroy | 31–45 | 40.79% |
| LamourLazy vs Azucena | 38–37 | 50.67% |
| LamourLazy vs Eddy | 23–51 | 31.08% |
| LamourLazy vs Anna | 27–45 | 37.50% |
| LamourLazy vs Feng | 25–46 | 35.21% |
| LamourLazy vs Alisa | 24–45 | 34.78% |
| LamourLazy vs Shaheen | 21–39 | 35.00% |
| LamourLazy vs Nina | 39–21 | 65.00% |
| LamourLazy vs Lidia | 21–33 | 38.89% |
| LamourLazy vs Clive | 25–25 | 50.00% |
| LamourLazy vs Jack-8 | 15–33 | 31.25% |
| LamourLazy vs Zafina | 16–25 | 39.02% |
| LamourLazy vs Raven | 19–19 | 50.00% |
| LamourLazy vs Miary Zo | 15–19 | 44.12% |
| LamourLazy vs Kuma | 10–21 | 32.26% |
| LamourLazy vs Panda | 8–13 | 38.10% |
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.