| Aimar Luvb vs Dragunov | 99–82 | 54.70% |
| Aimar Luvb vs Hwoarang | 99–57 | 63.46% |
| Aimar Luvb vs Jin | 96–59 | 61.94% |
| Aimar Luvb vs King | 75–74 | 50.34% |
| Aimar Luvb vs Kazuya | 81–64 | 55.86% |
| Aimar Luvb vs Paul | 76–62 | 55.07% |
| Aimar Luvb vs Bryan | 81–56 | 59.12% |
| Aimar Luvb vs Reina | 64–52 | 55.17% |
| Aimar Luvb vs Victor | 47–45 | 51.09% |
| Aimar Luvb vs Lili | 39–51 | 43.33% |
| Aimar Luvb vs Yoshimitsu | 55–33 | 62.50% |
| Aimar Luvb vs Steve | 58–30 | 65.91% |
| Aimar Luvb vs Law | 47–40 | 54.02% |
| Aimar Luvb vs Lars | 44–40 | 52.38% |
| Aimar Luvb vs Asuka | 42–39 | 51.85% |
| Aimar Luvb vs Jun | 41–40 | 50.62% |
| Aimar Luvb vs Feng | 42–35 | 54.55% |
| Aimar Luvb vs Leo | 38–34 | 52.78% |
| Aimar Luvb vs Claudio | 41–28 | 59.42% |
| Aimar Luvb vs Devil Jin | 38–27 | 58.46% |
| Aimar Luvb vs Jack-8 | 27–35 | 43.55% |
| Aimar Luvb vs Anna | 34–26 | 56.67% |
| Aimar Luvb vs Heihachi | 28–29 | 49.12% |
| Aimar Luvb vs Azucena | 33–20 | 62.26% |
| Aimar Luvb vs Alisa | 27–25 | 51.92% |
| Aimar Luvb vs Fahkumram | 28–22 | 56.00% |
| Aimar Luvb vs Lee | 29–19 | 60.42% |
| Aimar Luvb vs Lidia | 20–28 | 41.67% |
| Aimar Luvb vs Nina | 25–22 | 53.19% |
| Aimar Luvb vs Leroy | 17–24 | 41.46% |
| Aimar Luvb vs Xiaoyu | 23–14 | 62.16% |
| Aimar Luvb vs Shaheen | 13–21 | 38.24% |
| Aimar Luvb vs Kuma | 11–20 | 35.48% |
| Aimar Luvb vs Zafina | 20–11 | 64.52% |
| Aimar Luvb vs Raven | 18–12 | 60.00% |
| Aimar Luvb vs Eddy | 14–15 | 48.28% |
| Aimar Luvb vs Clive | 13–9 | 59.09% |
| Aimar Luvb vs Panda | 7–9 | 43.75% |
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.