| AMLOVER vs King | 245–101 | 70.81% |
| AMLOVER vs Kazuya | 177–165 | 51.75% |
| AMLOVER vs Jin | 191–110–1 | 63.46% |
| AMLOVER vs Bryan | 149–150 | 49.83% |
| AMLOVER vs Reina | 130–124 | 51.18% |
| AMLOVER vs Steve | 99–135 | 42.31% |
| AMLOVER vs Heihachi | 112–104 | 51.85% |
| AMLOVER vs Hwoarang | 85–125 | 40.48% |
| AMLOVER vs Law | 90–100 | 47.37% |
| AMLOVER vs Paul | 83–104 | 44.39% |
| AMLOVER vs Lee | 86–101 | 45.99% |
| AMLOVER vs Lars | 82–86 | 48.81% |
| AMLOVER vs Dragunov | 75–87 | 46.30% |
| AMLOVER vs Yoshimitsu | 62–82 | 43.06% |
| AMLOVER vs Xiaoyu | 54–89 | 37.76% |
| AMLOVER vs Azucena | 66–74 | 47.14% |
| AMLOVER vs Asuka | 57–77 | 42.54% |
| AMLOVER vs Devil Jin | 74–57 | 56.49% |
| AMLOVER vs Armor King | 81–50 | 61.83% |
| AMLOVER vs Fahkumram | 64–64 | 50.00% |
| AMLOVER vs Lili | 48–72 | 40.00% |
| AMLOVER vs Lidia | 55–64 | 46.22% |
| AMLOVER vs Jun | 53–61 | 46.49% |
| AMLOVER vs Nina | 44–66 | 40.00% |
| AMLOVER vs Eddy | 52–51 | 50.49% |
| AMLOVER vs Clive | 47–50 | 48.45% |
| AMLOVER vs Jack-8 | 44–52 | 45.83% |
| AMLOVER vs Leo | 44–51 | 46.32% |
| AMLOVER vs Miary Zo | 44–48 | 47.83% |
| AMLOVER vs Victor | 44–40 | 52.38% |
| AMLOVER vs Feng | 29–50 | 36.71% |
| AMLOVER vs Claudio | 40–32 | 55.56% |
| AMLOVER vs Leroy | 25–43 | 36.76% |
| AMLOVER vs Alisa | 38–29 | 56.72% |
| AMLOVER vs Raven | 26–41 | 38.81% |
| AMLOVER vs Anna | 30–37 | 44.78% |
| AMLOVER vs Zafina | 23–24 | 48.94% |
| AMLOVER vs Kuma | 16–22 | 42.11% |
| AMLOVER vs Shaheen | 18–17 | 51.43% |
| AMLOVER vs Panda | 8–8 | 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.