| AThreeP vs Kazuya | 117–65 | 64.29% |
| AThreeP vs Bryan | 84–80 | 51.22% |
| AThreeP vs Reina | 88–62 | 58.67% |
| AThreeP vs King | 69–68 | 50.36% |
| AThreeP vs Jin | 65–66 | 49.62% |
| AThreeP vs Steve | 83–45 | 64.84% |
| AThreeP vs Hwoarang | 47–54 | 46.53% |
| AThreeP vs Yoshimitsu | 54–42 | 56.25% |
| AThreeP vs Heihachi | 33–53 | 38.37% |
| AThreeP vs Paul | 33–48 | 40.74% |
| AThreeP vs Xiaoyu | 38–40 | 48.72% |
| AThreeP vs Azucena | 38–38 | 50.00% |
| AThreeP vs Law | 37–37 | 50.00% |
| AThreeP vs Lee | 27–47 | 36.49% |
| AThreeP vs Clive | 29–45 | 39.19% |
| AThreeP vs Lili | 36–36 | 50.00% |
| AThreeP vs Jack-8 | 30–40 | 42.86% |
| AThreeP vs Dragunov | 37–28 | 56.92% |
| AThreeP vs Jun | 34–30 | 53.12% |
| AThreeP vs Devil Jin | 31–30 | 50.82% |
| AThreeP vs Nina | 22–33 | 40.00% |
| AThreeP vs Asuka | 32–22 | 59.26% |
| AThreeP vs Leroy | 22–31 | 41.51% |
| AThreeP vs Leo | 18–26 | 40.91% |
| AThreeP vs Victor | 22–21 | 51.16% |
| AThreeP vs Alisa | 25–16 | 60.98% |
| AThreeP vs Lars | 15–24 | 38.46% |
| AThreeP vs Raven | 19–20 | 48.72% |
| AThreeP vs Feng | 15–23 | 39.47% |
| AThreeP vs Lidia | 22–16 | 57.89% |
| AThreeP vs Eddy | 17–17 | 50.00% |
| AThreeP vs Kuma | 9–23 | 28.12% |
| AThreeP vs Claudio | 9–19 | 32.14% |
| AThreeP vs Zafina | 9–12 | 42.86% |
| AThreeP vs Shaheen | 5–6 | 45.45% |
| AThreeP vs Panda | 0–6 | 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.