| Adrac88 vs Bryan | 172–208 | 45.26% |
| Adrac88 vs Kazuya | 177–193 | 47.84% |
| Adrac88 vs Jin | 157–178 | 46.87% |
| Adrac88 vs King | 126–154 | 45.00% |
| Adrac88 vs Steve | 92–162 | 36.22% |
| Adrac88 vs Dragunov | 99–155 | 38.98% |
| Adrac88 vs Heihachi | 109–102 | 51.66% |
| Adrac88 vs Reina | 89–96 | 48.11% |
| Adrac88 vs Law | 76–100 | 43.18% |
| Adrac88 vs Hwoarang | 71–101 | 41.28% |
| Adrac88 vs Armor King | 77–86 | 47.24% |
| Adrac88 vs Yoshimitsu | 61–99 | 38.12% |
| Adrac88 vs Paul | 92–67 | 57.86% |
| Adrac88 vs Lee | 69–77 | 47.26% |
| Adrac88 vs Lili | 47–91 | 34.06% |
| Adrac88 vs Lars | 49–77 | 38.89% |
| Adrac88 vs Devil Jin | 43–68 | 38.74% |
| Adrac88 vs Asuka | 46–57 | 44.66% |
| Adrac88 vs Azucena | 47–54 | 46.53% |
| Adrac88 vs Nina | 43–57 | 43.00% |
| Adrac88 vs Alisa | 40–48 | 45.45% |
| Adrac88 vs Xiaoyu | 47–38 | 55.29% |
| Adrac88 vs Victor | 31–54 | 36.47% |
| Adrac88 vs Jun | 30–53 | 36.14% |
| Adrac88 vs Jack-8 | 23–56 | 29.11% |
| Adrac88 vs Leroy | 37–37 | 50.00% |
| Adrac88 vs Lidia | 25–48 | 34.25% |
| Adrac88 vs Feng | 34–38 | 47.22% |
| Adrac88 vs Eddy | 31–40 | 43.66% |
| Adrac88 vs Clive | 26–39 | 40.00% |
| Adrac88 vs Claudio | 16–31 | 34.04% |
| Adrac88 vs Fahkumram | 18–27 | 40.00% |
| Adrac88 vs Kuma | 10–31 | 24.39% |
| Adrac88 vs Leo | 13–25 | 34.21% |
| Adrac88 vs Shaheen | 11–24 | 31.43% |
| Adrac88 vs Raven | 11–16 | 40.74% |
| Adrac88 vs Anna | 11–14 | 44.00% |
| Adrac88 vs Zafina | 11–13 | 45.83% |
| Adrac88 vs Miary Zo | 5–16 | 23.81% |
| Adrac88 vs Panda | 8–7 | 53.33% |
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.