| AFalcon vs Jin | 71–60 | 54.20% |
| AFalcon vs Reina | 63–52 | 54.78% |
| AFalcon vs Kazuya | 54–54 | 50.00% |
| AFalcon vs Hwoarang | 44–51 | 46.32% |
| AFalcon vs King | 43–49 | 46.74% |
| AFalcon vs Law | 34–52 | 39.53% |
| AFalcon vs Steve | 43–37 | 53.75% |
| AFalcon vs Bryan | 33–42 | 44.00% |
| AFalcon vs Yoshimitsu | 41–33 | 55.41% |
| AFalcon vs Azucena | 37–36 | 50.68% |
| AFalcon vs Lili | 36–35 | 50.70% |
| AFalcon vs Jun | 37–34 | 52.11% |
| AFalcon vs Asuka | 38–30 | 55.88% |
| AFalcon vs Dragunov | 39–29 | 57.35% |
| AFalcon vs Eddy | 28–35 | 44.44% |
| AFalcon vs Lee | 29–26 | 52.73% |
| AFalcon vs Raven | 22–25 | 46.81% |
| AFalcon vs Xiaoyu | 27–18 | 60.00% |
| AFalcon vs Paul | 13–30 | 30.23% |
| AFalcon vs Lars | 18–25 | 41.86% |
| AFalcon vs Victor | 22–20 | 52.38% |
| AFalcon vs Nina | 20–20 | 50.00% |
| AFalcon vs Leo | 23–14 | 62.16% |
| AFalcon vs Feng | 18–17 | 51.43% |
| AFalcon vs Kuma | 14–20 | 41.18% |
| AFalcon vs Devil Jin | 14–15 | 48.28% |
| AFalcon vs Alisa | 12–16 | 42.86% |
| AFalcon vs Heihachi | 14–12 | 53.85% |
| AFalcon vs Leroy | 11–14 | 44.00% |
| AFalcon vs Claudio | 10–13 | 43.48% |
| AFalcon vs Clive | 5–18 | 21.74% |
| AFalcon vs Shaheen | 7–10 | 41.18% |
| AFalcon vs Zafina | 8–7 | 53.33% |
| AFalcon vs Jack-8 | 6–7 | 46.15% |
| AFalcon vs Panda | 0–1 | 0.00% |
| AFalcon vs Lidia | 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.