| Dangaard vs Jin | 55–45 | 55.00% |
| Dangaard vs Kazuya | 41–35 | 53.95% |
| Dangaard vs King | 39–36 | 52.00% |
| Dangaard vs Bryan | 36–26 | 58.06% |
| Dangaard vs Paul | 38–23 | 62.30% |
| Dangaard vs Dragunov | 29–31 | 48.33% |
| Dangaard vs Law | 29–27 | 51.79% |
| Dangaard vs Hwoarang | 25–27 | 48.08% |
| Dangaard vs Lili | 32–19 | 62.75% |
| Dangaard vs Devil Jin | 28–22 | 56.00% |
| Dangaard vs Reina | 24–26 | 48.00% |
| Dangaard vs Yoshimitsu | 25–20 | 55.56% |
| Dangaard vs Lars | 24–21 | 53.33% |
| Dangaard vs Feng | 13–24 | 35.14% |
| Dangaard vs Xiaoyu | 25–9 | 73.53% |
| Dangaard vs Jun | 11–23 | 32.35% |
| Dangaard vs Eddy | 15–19 | 44.12% |
| Dangaard vs Steve | 17–14 | 54.84% |
| Dangaard vs Heihachi | 19–10 | 65.52% |
| Dangaard vs Nina | 20–7 | 74.07% |
| Dangaard vs Victor | 17–10 | 62.96% |
| Dangaard vs Lee | 12–13 | 48.00% |
| Dangaard vs Alisa | 12–12 | 50.00% |
| Dangaard vs Azucena | 9–15 | 37.50% |
| Dangaard vs Leroy | 14–9 | 60.87% |
| Dangaard vs Raven | 12–11 | 52.17% |
| Dangaard vs Armor King | 8–13 | 38.10% |
| Dangaard vs Jack-8 | 11–7 | 61.11% |
| Dangaard vs Leo | 11–4 | 73.33% |
| Dangaard vs Zafina | 6–9 | 40.00% |
| Dangaard vs Asuka | 7–7 | 50.00% |
| Dangaard vs Fahkumram | 5–7 | 41.67% |
| Dangaard vs Claudio | 4–6 | 40.00% |
| Dangaard vs Shaheen | 5–5 | 50.00% |
| Dangaard vs Kuma | 3–6 | 33.33% |
| Dangaard vs Panda | 3–5 | 37.50% |
| Dangaard vs Lidia | 3–3 | 50.00% |
| Dangaard vs Anna | 5–0 | 100.00% |
| Dangaard vs Clive | 2–2 | 50.00% |
| Dangaard vs Miary Zo | 3–1 | 75.00% |
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.