| Learning HitBox vs Eddy | 7–3 | 70.00% |
| Learning HitBox vs Reina | 7–0 | 100.00% |
| Learning HitBox vs Heihachi | 4–1 | 80.00% |
| Learning HitBox vs Hwoarang | 4–0 | 100.00% |
| Learning HitBox vs Jin | 4–0 | 100.00% |
| Learning HitBox vs Azucena | 4–0 | 100.00% |
| Learning HitBox vs Law | 4–0 | 100.00% |
| Learning HitBox vs Kazuya | 3–0 | 100.00% |
| Learning HitBox vs Steve | 3–0 | 100.00% |
| Learning HitBox vs Lars | 2–1 | 66.67% |
| Learning HitBox vs Paul | 2–0 | 100.00% |
| Learning HitBox vs King | 2–0 | 100.00% |
| Learning HitBox vs Asuka | 2–0 | 100.00% |
| Learning HitBox vs Feng | 2–0 | 100.00% |
| Learning HitBox vs Panda | 0–2 | 0.00% |
| Learning HitBox vs Raven | 2–0 | 100.00% |
| Learning HitBox vs Lidia | 2–0 | 100.00% |
| Learning HitBox vs Leo | 2–0 | 100.00% |
| Learning HitBox vs Lee | 2–0 | 100.00% |
| Learning HitBox vs Jack-8 | 1–0 | 100.00% |
| Learning HitBox vs Kuma | 1–0 | 100.00% |
| Learning HitBox vs Leroy | 1–0 | 100.00% |
| Learning HitBox vs Jun | 1–0 | 100.00% |
| Learning HitBox vs Xiaoyu | 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.