| AGg_Aleks vs King | 125–136 | 47.89% |
| AGg_Aleks vs Kazuya | 131–123 | 51.57% |
| AGg_Aleks vs Jin | 97–109 | 47.09% |
| AGg_Aleks vs Bryan | 99–88 | 52.94% |
| AGg_Aleks vs Law | 112–69 | 61.88% |
| AGg_Aleks vs Steve | 96–83 | 53.63% |
| AGg_Aleks vs Hwoarang | 76–95 | 44.44% |
| AGg_Aleks vs Heihachi | 68–87 | 43.87% |
| AGg_Aleks vs Reina | 54–80 | 40.30% |
| AGg_Aleks vs Paul | 62–71 | 46.62% |
| AGg_Aleks vs Yoshimitsu | 59–68 | 46.46% |
| AGg_Aleks vs Dragunov | 58–67 | 46.40% |
| AGg_Aleks vs Clive | 70–51 | 57.85% |
| AGg_Aleks vs Lee | 44–62 | 41.51% |
| AGg_Aleks vs Lili | 47–58 | 44.76% |
| AGg_Aleks vs Lars | 47–58 | 44.76% |
| AGg_Aleks vs Asuka | 54–50 | 51.92% |
| AGg_Aleks vs Azucena | 42–45 | 48.28% |
| AGg_Aleks vs Lidia | 41–46 | 47.13% |
| AGg_Aleks vs Feng | 38–41 | 48.10% |
| AGg_Aleks vs Xiaoyu | 44–32 | 57.89% |
| AGg_Aleks vs Anna | 40–36 | 52.63% |
| AGg_Aleks vs Leo | 33–36 | 47.83% |
| AGg_Aleks vs Leroy | 33–36 | 47.83% |
| AGg_Aleks vs Nina | 37–30 | 55.22% |
| AGg_Aleks vs Jun | 29–37 | 43.94% |
| AGg_Aleks vs Victor | 30–36 | 45.45% |
| AGg_Aleks vs Eddy | 36–25 | 59.02% |
| AGg_Aleks vs Devil Jin | 27–24 | 52.94% |
| AGg_Aleks vs Alisa | 21–30 | 41.18% |
| AGg_Aleks vs Claudio | 18–28 | 39.13% |
| AGg_Aleks vs Raven | 22–24 | 47.83% |
| AGg_Aleks vs Jack-8 | 23–20 | 53.49% |
| AGg_Aleks vs Armor King | 20–23 | 46.51% |
| AGg_Aleks vs Fahkumram | 17–25 | 40.48% |
| AGg_Aleks vs Zafina | 19–18 | 51.35% |
| AGg_Aleks vs Kuma | 11–22 | 33.33% |
| AGg_Aleks vs Shaheen | 16–10 | 61.54% |
| AGg_Aleks vs Miary Zo | 5–8 | 38.46% |
| AGg_Aleks vs Panda | 6–3 | 66.67% |
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.