| Adore vs Kazuya | 99–42 | 70.21% |
| Adore vs Paul | 79–36 | 68.70% |
| Adore vs Dragunov | 69–40 | 63.30% |
| Adore vs Reina | 55–40 | 57.89% |
| Adore vs Bryan | 58–35 | 62.37% |
| Adore vs Jin | 63–28 | 69.23% |
| Adore vs King | 51–39 | 56.67% |
| Adore vs Heihachi | 56–31 | 64.37% |
| Adore vs Steve | 51–30 | 62.96% |
| Adore vs Hwoarang | 50–30 | 62.50% |
| Adore vs Clive | 32–37 | 46.38% |
| Adore vs Asuka | 41–26 | 61.19% |
| Adore vs Law | 38–20 | 65.52% |
| Adore vs Lars | 27–27 | 50.00% |
| Adore vs Nina | 31–23 | 57.41% |
| Adore vs Devil Jin | 30–23 | 56.60% |
| Adore vs Feng | 35–18 | 66.04% |
| Adore vs Lili | 26–25 | 50.98% |
| Adore vs Leroy | 31–13 | 70.45% |
| Adore vs Jack-8 | 23–20 | 53.49% |
| Adore vs Jun | 28–14 | 66.67% |
| Adore vs Azucena | 29–13 | 69.05% |
| Adore vs Yoshimitsu | 27–14 | 65.85% |
| Adore vs Lee | 17–20 | 45.95% |
| Adore vs Victor | 20–16 | 55.56% |
| Adore vs Shaheen | 18–17 | 51.43% |
| Adore vs Lidia | 17–17 | 50.00% |
| Adore vs Zafina | 23–10 | 69.70% |
| Adore vs Leo | 15–15 | 50.00% |
| Adore vs Kuma | 15–13 | 53.57% |
| Adore vs Raven | 14–14 | 50.00% |
| Adore vs Xiaoyu | 12–12 | 50.00% |
| Adore vs Alisa | 9–9 | 50.00% |
| Adore vs Claudio | 11–5 | 68.75% |
| Adore vs Eddy | 7–8 | 46.67% |
| Adore vs Panda | 3–3 | 50.00% |
| Adore vs Armor King | 5–0 | 100.00% |
| Adore vs Anna | 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.