| AideNT vs King | 54–58 | 48.21% |
| AideNT vs Jin | 48–52 | 48.00% |
| AideNT vs Bryan | 37–49 | 43.02% |
| AideNT vs Kazuya | 54–30 | 64.29% |
| AideNT vs Reina | 40–43 | 48.19% |
| AideNT vs Dragunov | 38–43 | 46.91% |
| AideNT vs Law | 36–35 | 50.70% |
| AideNT vs Lili | 40–26 | 60.61% |
| AideNT vs Eddy | 30–30 | 50.00% |
| AideNT vs Paul | 22–34 | 39.29% |
| AideNT vs Jun | 26–27 | 49.06% |
| AideNT vs Hwoarang | 21–30 | 41.18% |
| AideNT vs Steve | 19–30 | 38.78% |
| AideNT vs Lars | 20–28 | 41.67% |
| AideNT vs Heihachi | 20–26 | 43.48% |
| AideNT vs Lee | 21–24 | 46.67% |
| AideNT vs Leroy | 15–30 | 33.33% |
| AideNT vs Victor | 22–23 | 48.89% |
| AideNT vs Azucena | 21–22 | 48.84% |
| AideNT vs Nina | 14–28 | 33.33% |
| AideNT vs Yoshimitsu | 17–23 | 42.50% |
| AideNT vs Jack-8 | 19–20 | 48.72% |
| AideNT vs Feng | 20–18 | 52.63% |
| AideNT vs Devil Jin | 18–18 | 50.00% |
| AideNT vs Leo | 13–23 | 36.11% |
| AideNT vs Alisa | 13–20 | 39.39% |
| AideNT vs Xiaoyu | 13–19 | 40.62% |
| AideNT vs Asuka | 17–12 | 58.62% |
| AideNT vs Zafina | 8–15 | 34.78% |
| AideNT vs Claudio | 10–12 | 45.45% |
| AideNT vs Kuma | 5–17 | 22.73% |
| AideNT vs Lidia | 10–10 | 50.00% |
| AideNT vs Shaheen | 5–10 | 33.33% |
| AideNT vs Clive | 4–9 | 30.77% |
| AideNT vs Raven | 7–4 | 63.64% |
| AideNT vs Panda | 0–3 | 0.00% |
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.