| AroNora vs Bryan | 54–62 | 46.55% |
| AroNora vs Jin | 50–56 | 47.17% |
| AroNora vs Kazuya | 44–57 | 43.56% |
| AroNora vs Heihachi | 51–50 | 50.50% |
| AroNora vs King | 45–55 | 45.00% |
| AroNora vs Reina | 45–49 | 47.87% |
| AroNora vs Hwoarang | 43–33 | 56.58% |
| AroNora vs Lili | 39–37 | 51.32% |
| AroNora vs Yoshimitsu | 37–32 | 53.62% |
| AroNora vs Leo | 38–23 | 62.30% |
| AroNora vs Dragunov | 30–28 | 51.72% |
| AroNora vs Jun | 29–28 | 50.88% |
| AroNora vs Law | 22–32 | 40.74% |
| AroNora vs Lee | 27–27 | 50.00% |
| AroNora vs Steve | 26–27 | 49.06% |
| AroNora vs Devil Jin | 19–34 | 35.85% |
| AroNora vs Lars | 21–28 | 42.86% |
| AroNora vs Feng | 27–20 | 57.45% |
| AroNora vs Azucena | 34–13 | 72.34% |
| AroNora vs Asuka | 24–22 | 52.17% |
| AroNora vs Paul | 18–25 | 41.86% |
| AroNora vs Victor | 28–14 | 66.67% |
| AroNora vs Alisa | 21–14 | 60.00% |
| AroNora vs Raven | 19–13 | 59.38% |
| AroNora vs Eddy | 10–22 | 31.25% |
| AroNora vs Nina | 15–16 | 48.39% |
| AroNora vs Xiaoyu | 13–16 | 44.83% |
| AroNora vs Lidia | 10–18 | 35.71% |
| AroNora vs Kuma | 14–11 | 56.00% |
| AroNora vs Armor King | 10–15 | 40.00% |
| AroNora vs Shaheen | 13–9 | 59.09% |
| AroNora vs Jack-8 | 11–9 | 55.00% |
| AroNora vs Claudio | 7–12 | 36.84% |
| AroNora vs Leroy | 11–8 | 57.89% |
| AroNora vs Zafina | 8–9 | 47.06% |
| AroNora vs Clive | 9–5 | 64.29% |
| AroNora vs Fahkumram | 5–6 | 45.45% |
| AroNora vs Miary Zo | 6–5 | 54.55% |
| AroNora vs Anna | 3–7 | 30.00% |
| AroNora vs Panda | 3–1 | 75.00% |
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.