| ASIXER vs Kazuya | 50–43 | 53.76% |
| ASIXER vs Dragunov | 40–47 | 45.98% |
| ASIXER vs Bryan | 49–33 | 59.76% |
| ASIXER vs Hwoarang | 40–41 | 49.38% |
| ASIXER vs King | 38–36 | 51.35% |
| ASIXER vs Reina | 37–30 | 55.22% |
| ASIXER vs Lili | 38–23 | 62.30% |
| ASIXER vs Victor | 23–37 | 38.33% |
| ASIXER vs Paul | 24–35 | 40.68% |
| ASIXER vs Jin | 23–35 | 39.66% |
| ASIXER vs Law | 22–34 | 39.29% |
| ASIXER vs Steve | 27–25 | 51.92% |
| ASIXER vs Yoshimitsu | 23–28 | 45.10% |
| ASIXER vs Jun | 34–17 | 66.67% |
| ASIXER vs Azucena | 26–25 | 50.98% |
| ASIXER vs Nina | 28–19 | 59.57% |
| ASIXER vs Lars | 24–21 | 53.33% |
| ASIXER vs Asuka | 18–25 | 41.86% |
| ASIXER vs Feng | 25–17 | 59.52% |
| ASIXER vs Devil Jin | 15–25 | 37.50% |
| ASIXER vs Leo | 19–19 | 50.00% |
| ASIXER vs Xiaoyu | 16–18 | 47.06% |
| ASIXER vs Claudio | 12–22 | 35.29% |
| ASIXER vs Jack-8 | 14–19 | 42.42% |
| ASIXER vs Alisa | 13–19 | 40.62% |
| ASIXER vs Anna | 14–16 | 46.67% |
| ASIXER vs Miary Zo | 18–12 | 60.00% |
| ASIXER vs Fahkumram | 12–17 | 41.38% |
| ASIXER vs Lee | 14–14 | 50.00% |
| ASIXER vs Leroy | 18–9 | 66.67% |
| ASIXER vs Zafina | 14–12 | 53.85% |
| ASIXER vs Eddy | 10–16 | 38.46% |
| ASIXER vs Heihachi | 12–12 | 50.00% |
| ASIXER vs Clive | 14–9 | 60.87% |
| ASIXER vs Armor King | 10–13 | 43.48% |
| ASIXER vs Kuma | 10–11 | 47.62% |
| ASIXER vs Raven | 11–8 | 57.89% |
| ASIXER vs Lidia | 9–7 | 56.25% |
| ASIXER vs Shaheen | 3–9 | 25.00% |
| ASIXER vs Panda | 5–2 | 71.43% |
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.