| Abroxas vs Kazuya | 253–232 | 52.16% |
| Abroxas vs Heihachi | 172–180 | 48.86% |
| Abroxas vs King | 160–162–1 | 49.69% |
| Abroxas vs Reina | 155–157 | 49.68% |
| Abroxas vs Bryan | 158–150 | 51.30% |
| Abroxas vs Jin | 145–146 | 49.83% |
| Abroxas vs Hwoarang | 109–133 | 45.04% |
| Abroxas vs Steve | 118–123 | 48.96% |
| Abroxas vs Dragunov | 115–103 | 52.75% |
| Abroxas vs Law | 90–116 | 43.69% |
| Abroxas vs Paul | 80–109 | 42.33% |
| Abroxas vs Yoshimitsu | 90–98 | 47.87% |
| Abroxas vs Clive | 84–98 | 46.15% |
| Abroxas vs Lee | 88–89 | 49.72% |
| Abroxas vs Asuka | 70–87 | 44.59% |
| Abroxas vs Devil Jin | 72–85 | 45.86% |
| Abroxas vs Lili | 74–78 | 48.68% |
| Abroxas vs Jun | 61–62 | 49.59% |
| Abroxas vs Lars | 52–55 | 48.60% |
| Abroxas vs Anna | 60–42 | 58.82% |
| Abroxas vs Azucena | 44–56 | 44.00% |
| Abroxas vs Nina | 40–57 | 41.24% |
| Abroxas vs Lidia | 46–48 | 48.94% |
| Abroxas vs Feng | 35–51 | 40.70% |
| Abroxas vs Alisa | 38–48 | 44.19% |
| Abroxas vs Armor King | 35–49 | 41.67% |
| Abroxas vs Eddy | 53–30 | 63.86% |
| Abroxas vs Leo | 45–33 | 57.69% |
| Abroxas vs Xiaoyu | 34–42 | 44.74% |
| Abroxas vs Victor | 34–38 | 47.22% |
| Abroxas vs Jack-8 | 23–45 | 33.82% |
| Abroxas vs Fahkumram | 35–26 | 57.38% |
| Abroxas vs Raven | 23–35 | 39.66% |
| Abroxas vs Claudio | 26–31 | 45.61% |
| Abroxas vs Leroy | 26–30 | 46.43% |
| Abroxas vs Shaheen | 10–28 | 26.32% |
| Abroxas vs Kuma | 11–22 | 33.33% |
| Abroxas vs Zafina | 11–17 | 39.29% |
| Abroxas vs Miary Zo | 8–9 | 47.06% |
| Abroxas vs Panda | 1–0 | 100.00% |
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.