| DaemonS0 vs Kazuya | 464–429 | 51.96% |
| DaemonS0 vs Bryan | 320–308 | 50.96% |
| DaemonS0 vs Heihachi | 290–299 | 49.24% |
| DaemonS0 vs Jin | 289–296 | 49.40% |
| DaemonS0 vs Reina | 299–266 | 52.92% |
| DaemonS0 vs Paul | 181–222 | 44.91% |
| DaemonS0 vs King | 206–197 | 51.12% |
| DaemonS0 vs Steve | 208–181 | 53.47% |
| DaemonS0 vs Dragunov | 166–194–1 | 46.11% |
| DaemonS0 vs Devil Jin | 167–192 | 46.52% |
| DaemonS0 vs Hwoarang | 175–145 | 54.69% |
| DaemonS0 vs Law | 153–154 | 49.84% |
| DaemonS0 vs Lee | 117–171 | 40.62% |
| DaemonS0 vs Lili | 148–134 | 52.48% |
| DaemonS0 vs Asuka | 146–124 | 54.07% |
| DaemonS0 vs Yoshimitsu | 146–120 | 54.89% |
| DaemonS0 vs Jun | 127–134 | 48.66% |
| DaemonS0 vs Lidia | 104–127 | 45.02% |
| DaemonS0 vs Armor King | 83–139 | 37.39% |
| DaemonS0 vs Clive | 103–91 | 53.09% |
| DaemonS0 vs Feng | 100–87 | 53.48% |
| DaemonS0 vs Azucena | 86–91 | 48.59% |
| DaemonS0 vs Victor | 87–77 | 53.05% |
| DaemonS0 vs Fahkumram | 68–91 | 42.77% |
| DaemonS0 vs Nina | 67–91 | 42.41% |
| DaemonS0 vs Eddy | 97–61 | 61.39% |
| DaemonS0 vs Xiaoyu | 73–65 | 52.90% |
| DaemonS0 vs Lars | 63–75 | 45.65% |
| DaemonS0 vs Claudio | 66–67 | 49.62% |
| DaemonS0 vs Jack-8 | 60–66 | 47.62% |
| DaemonS0 vs Leroy | 57–67 | 45.97% |
| DaemonS0 vs Leo | 54–64 | 45.76% |
| DaemonS0 vs Alisa | 44–68 | 39.29% |
| DaemonS0 vs Raven | 60–43 | 58.25% |
| DaemonS0 vs Anna | 49–42 | 53.85% |
| DaemonS0 vs Kuma | 35–55 | 38.89% |
| DaemonS0 vs Shaheen | 32–52 | 38.10% |
| DaemonS0 vs Zafina | 29–34 | 46.03% |
| DaemonS0 vs Panda | 11–19 | 36.67% |
| DaemonS0 vs Miary Zo | 11–12 | 47.83% |
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.