| LofiDahl vs Jin | 83–97 | 46.11% |
| LofiDahl vs Reina | 86–88 | 49.43% |
| LofiDahl vs Kazuya | 83–88 | 48.54% |
| LofiDahl vs King | 67–103 | 39.41% |
| LofiDahl vs Bryan | 72–87 | 45.28% |
| LofiDahl vs Eddy | 69–83 | 45.39% |
| LofiDahl vs Dragunov | 45–70 | 39.13% |
| LofiDahl vs Hwoarang | 51–59 | 46.36% |
| LofiDahl vs Law | 49–56 | 46.67% |
| LofiDahl vs Steve | 51–53 | 49.04% |
| LofiDahl vs Azucena | 41–60 | 40.59% |
| LofiDahl vs Jun | 36–60 | 37.50% |
| LofiDahl vs Lee | 50–41 | 54.95% |
| LofiDahl vs Feng | 49–41 | 54.44% |
| LofiDahl vs Lars | 41–49 | 45.56% |
| LofiDahl vs Victor | 39–48 | 44.83% |
| LofiDahl vs Paul | 34–52 | 39.53% |
| LofiDahl vs Raven | 32–46 | 41.03% |
| LofiDahl vs Yoshimitsu | 45–31 | 59.21% |
| LofiDahl vs Nina | 28–38 | 42.42% |
| LofiDahl vs Asuka | 23–42 | 35.38% |
| LofiDahl vs Leo | 33–32 | 50.77% |
| LofiDahl vs Lili | 28–35–1 | 44.44% |
| LofiDahl vs Devil Jin | 25–37 | 40.32% |
| LofiDahl vs Alisa | 29–33 | 46.77% |
| LofiDahl vs Xiaoyu | 24–34 | 41.38% |
| LofiDahl vs Jack-8 | 21–33 | 38.89% |
| LofiDahl vs Leroy | 23–31 | 42.59% |
| LofiDahl vs Claudio | 23–28 | 45.10% |
| LofiDahl vs Kuma | 13–31 | 29.55% |
| LofiDahl vs Shaheen | 14–22 | 38.89% |
| LofiDahl vs Zafina | 8–13 | 38.10% |
| LofiDahl vs Lidia | 3–16 | 15.79% |
| LofiDahl vs Panda | 4–14 | 22.22% |
| LofiDahl vs Heihachi | 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.