| DEMIGAWD vs King | 76–45 | 62.81% |
| DEMIGAWD vs Jin | 53–60 | 46.90% |
| DEMIGAWD vs Kazuya | 63–44 | 58.88% |
| DEMIGAWD vs Bryan | 48–46 | 51.06% |
| DEMIGAWD vs Law | 45–35 | 56.25% |
| DEMIGAWD vs Dragunov | 41–34 | 54.67% |
| DEMIGAWD vs Steve | 35–37 | 48.61% |
| DEMIGAWD vs Victor | 30–36 | 45.45% |
| DEMIGAWD vs Reina | 33–32 | 50.77% |
| DEMIGAWD vs Lee | 34–29 | 53.97% |
| DEMIGAWD vs Heihachi | 27–33 | 45.00% |
| DEMIGAWD vs Clive | 22–26 | 45.83% |
| DEMIGAWD vs Yoshimitsu | 25–22 | 53.19% |
| DEMIGAWD vs Lili | 16–31 | 34.04% |
| DEMIGAWD vs Hwoarang | 25–21 | 54.35% |
| DEMIGAWD vs Jun | 25–21 | 54.35% |
| DEMIGAWD vs Paul | 21–23 | 47.73% |
| DEMIGAWD vs Asuka | 23–21 | 52.27% |
| DEMIGAWD vs Armor King | 18–22 | 45.00% |
| DEMIGAWD vs Lars | 14–24 | 36.84% |
| DEMIGAWD vs Azucena | 25–13 | 65.79% |
| DEMIGAWD vs Fahkumram | 23–14 | 62.16% |
| DEMIGAWD vs Xiaoyu | 12–24 | 33.33% |
| DEMIGAWD vs Claudio | 12–18 | 40.00% |
| DEMIGAWD vs Devil Jin | 12–16 | 42.86% |
| DEMIGAWD vs Nina | 13–15 | 46.43% |
| DEMIGAWD vs Leo | 15–9 | 62.50% |
| DEMIGAWD vs Alisa | 8–15 | 34.78% |
| DEMIGAWD vs Anna | 10–11 | 47.62% |
| DEMIGAWD vs Feng | 6–14 | 30.00% |
| DEMIGAWD vs Leroy | 5–13 | 27.78% |
| DEMIGAWD vs Jack-8 | 9–6 | 60.00% |
| DEMIGAWD vs Shaheen | 7–8 | 46.67% |
| DEMIGAWD vs Lidia | 6–9 | 40.00% |
| DEMIGAWD vs Kuma | 3–9 | 25.00% |
| DEMIGAWD vs Raven | 3–9 | 25.00% |
| DEMIGAWD vs Eddy | 6–4 | 60.00% |
| DEMIGAWD vs Zafina | 1–3 | 25.00% |
| DEMIGAWD vs Miary Zo | 2–1 | 66.67% |
| DEMIGAWD vs Panda | 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.