| Heisn am Fightn vs Hwoarang | 12–11 | 52.17% |
| Heisn am Fightn vs Jin | 10–8 | 55.56% |
| Heisn am Fightn vs Kazuya | 9–8 | 52.94% |
| Heisn am Fightn vs Eddy | 4–13 | 23.53% |
| Heisn am Fightn vs Yoshimitsu | 10–4 | 71.43% |
| Heisn am Fightn vs Dragunov | 8–6 | 57.14% |
| Heisn am Fightn vs King | 11–1 | 91.67% |
| Heisn am Fightn vs Paul | 7–4 | 63.64% |
| Heisn am Fightn vs Xiaoyu | 6–5 | 54.55% |
| Heisn am Fightn vs Lili | 7–4 | 63.64% |
| Heisn am Fightn vs Lee | 5–6 | 45.45% |
| Heisn am Fightn vs Steve | 6–4 | 60.00% |
| Heisn am Fightn vs Asuka | 8–2 | 80.00% |
| Heisn am Fightn vs Jun | 8–2 | 80.00% |
| Heisn am Fightn vs Azucena | 5–4 | 55.56% |
| Heisn am Fightn vs Kuma | 8–1 | 88.89% |
| Heisn am Fightn vs Devil Jin | 5–3 | 62.50% |
| Heisn am Fightn vs Reina | 2–6 | 25.00% |
| Heisn am Fightn vs Bryan | 5–2 | 71.43% |
| Heisn am Fightn vs Jack-8 | 2–4 | 33.33% |
| Heisn am Fightn vs Nina | 2–4 | 33.33% |
| Heisn am Fightn vs Leroy | 4–2 | 66.67% |
| Heisn am Fightn vs Law | 3–2 | 60.00% |
| Heisn am Fightn vs Claudio | 2–2 | 50.00% |
| Heisn am Fightn vs Lidia | 2–2 | 50.00% |
| Heisn am Fightn vs Alisa | 2–1 | 66.67% |
| Heisn am Fightn vs Victor | 2–0 | 100.00% |
| Heisn am Fightn vs Feng | 0–2 | 0.00% |
| Heisn am Fightn vs Panda | 2–0 | 100.00% |
| Heisn am Fightn vs Raven | 0–1 | 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.