| ulfhedinn vs Kazuya | 75–59 | 55.97% |
| ulfhedinn vs Bryan | 75–46 | 61.98% |
| ulfhedinn vs Dragunov | 57–47 | 54.81% |
| ulfhedinn vs Jin | 57–43 | 57.00% |
| ulfhedinn vs Paul | 56–34 | 62.22% |
| ulfhedinn vs Heihachi | 45–41 | 52.33% |
| ulfhedinn vs King | 38–45 | 45.78% |
| ulfhedinn vs Lee | 42–41 | 50.60% |
| ulfhedinn vs Steve | 45–37 | 54.88% |
| ulfhedinn vs Law | 39–39 | 50.00% |
| ulfhedinn vs Lili | 25–41 | 37.88% |
| ulfhedinn vs Devil Jin | 32–33 | 49.23% |
| ulfhedinn vs Reina | 31–34 | 47.69% |
| ulfhedinn vs Yoshimitsu | 22–38 | 36.67% |
| ulfhedinn vs Eddy | 32–27 | 54.24% |
| ulfhedinn vs Armor King | 28–31 | 47.46% |
| ulfhedinn vs Hwoarang | 30–28 | 51.72% |
| ulfhedinn vs Lars | 30–27 | 52.63% |
| ulfhedinn vs Feng | 23–28 | 45.10% |
| ulfhedinn vs Azucena | 23–26 | 46.94% |
| ulfhedinn vs Xiaoyu | 25–18 | 58.14% |
| ulfhedinn vs Jack-8 | 16–26 | 38.10% |
| ulfhedinn vs Jun | 20–22 | 47.62% |
| ulfhedinn vs Raven | 17–23 | 42.50% |
| ulfhedinn vs Nina | 20–19 | 51.28% |
| ulfhedinn vs Claudio | 14–21 | 40.00% |
| ulfhedinn vs Victor | 14–21 | 40.00% |
| ulfhedinn vs Alisa | 14–18 | 43.75% |
| ulfhedinn vs Leroy | 20–11 | 64.52% |
| ulfhedinn vs Leo | 12–15 | 44.44% |
| ulfhedinn vs Asuka | 8–12 | 40.00% |
| ulfhedinn vs Zafina | 14–5 | 73.68% |
| ulfhedinn vs Kuma | 10–5 | 66.67% |
| ulfhedinn vs Panda | 4–8 | 33.33% |
| ulfhedinn vs Shaheen | 3–6 | 33.33% |
| ulfhedinn vs Clive | 3–4 | 42.86% |
| ulfhedinn vs Lidia | 4–2 | 66.67% |
| ulfhedinn vs Miary Zo | 2–1 | 66.67% |
| ulfhedinn vs Anna | 2–0 | 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.