| Daddgobi vs King | 33–69 | 32.35% |
| Daddgobi vs Steve | 28–48 | 36.84% |
| Daddgobi vs Kazuya | 29–37 | 43.94% |
| Daddgobi vs Armor King | 19–38 | 33.33% |
| Daddgobi vs Jin | 12–43 | 21.82% |
| Daddgobi vs Jun | 13–41 | 24.07% |
| Daddgobi vs Heihachi | 18–36 | 33.33% |
| Daddgobi vs Law | 14–38 | 26.92% |
| Daddgobi vs Hwoarang | 14–34 | 29.17% |
| Daddgobi vs Dragunov | 11–34 | 24.44% |
| Daddgobi vs Eddy | 10–34 | 22.73% |
| Daddgobi vs Yoshimitsu | 8–34 | 19.05% |
| Daddgobi vs Fahkumram | 18–23 | 43.90% |
| Daddgobi vs Reina | 19–21 | 47.50% |
| Daddgobi vs Miary Zo | 14–25 | 35.90% |
| Daddgobi vs Victor | 10–27 | 27.03% |
| Daddgobi vs Paul | 15–21 | 41.67% |
| Daddgobi vs Jack-8 | 15–21 | 41.67% |
| Daddgobi vs Bryan | 8–23 | 25.81% |
| Daddgobi vs Raven | 11–17 | 39.29% |
| Daddgobi vs Azucena | 13–14 | 48.15% |
| Daddgobi vs Clive | 8–19 | 29.63% |
| Daddgobi vs Anna | 12–15 | 44.44% |
| Daddgobi vs Lee | 9–17 | 34.62% |
| Daddgobi vs Leo | 7–17 | 29.17% |
| Daddgobi vs Lars | 7–17 | 29.17% |
| Daddgobi vs Lidia | 6–15 | 28.57% |
| Daddgobi vs Asuka | 11–9 | 55.00% |
| Daddgobi vs Lili | 2–17 | 10.53% |
| Daddgobi vs Nina | 5–12 | 29.41% |
| Daddgobi vs Xiaoyu | 7–8 | 46.67% |
| Daddgobi vs Feng | 3–11 | 21.43% |
| Daddgobi vs Alisa | 2–11 | 15.38% |
| Daddgobi vs Devil Jin | 1–10 | 9.09% |
| Daddgobi vs Leroy | 6–4 | 60.00% |
| Daddgobi vs Shaheen | 4–4 | 50.00% |
| Daddgobi vs Kuma | 1–7 | 12.50% |
| Daddgobi vs Claudio | 3–4 | 42.86% |
| Daddgobi vs Zafina | 4–1 | 80.00% |
| Daddgobi vs Panda | 1–2 | 33.33% |
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.