| Dandy vs King | 33–18 | 64.71% |
| Dandy vs Jin | 26–19 | 57.78% |
| Dandy vs Reina | 19–26 | 42.22% |
| Dandy vs Bryan | 14–27 | 34.15% |
| Dandy vs Kazuya | 22–14 | 61.11% |
| Dandy vs Steve | 14–18 | 43.75% |
| Dandy vs Hwoarang | 19–10 | 65.52% |
| Dandy vs Alisa | 10–19 | 34.48% |
| Dandy vs Law | 7–20 | 25.93% |
| Dandy vs Dragunov | 13–13 | 50.00% |
| Dandy vs Asuka | 16–6 | 72.73% |
| Dandy vs Lars | 12–10 | 54.55% |
| Dandy vs Azucena | 12–10 | 54.55% |
| Dandy vs Victor | 13–8 | 61.90% |
| Dandy vs Raven | 11–10 | 52.38% |
| Dandy vs Lee | 7–11 | 38.89% |
| Dandy vs Yoshimitsu | 5–12 | 29.41% |
| Dandy vs Xiaoyu | 7–9 | 43.75% |
| Dandy vs Eddy | 5–11 | 31.25% |
| Dandy vs Lili | 10–5 | 66.67% |
| Dandy vs Lidia | 7–8 | 46.67% |
| Dandy vs Heihachi | 7–8 | 46.67% |
| Dandy vs Paul | 4–10 | 28.57% |
| Dandy vs Jun | 9–5 | 64.29% |
| Dandy vs Jack-8 | 5–8 | 38.46% |
| Dandy vs Devil Jin | 3–10 | 23.08% |
| Dandy vs Feng | 4–9 | 30.77% |
| Dandy vs Kuma | 7–6 | 53.85% |
| Dandy vs Leo | 8–4 | 66.67% |
| Dandy vs Leroy | 3–9 | 25.00% |
| Dandy vs Claudio | 7–1 | 87.50% |
| Dandy vs Nina | 2–6 | 25.00% |
| Dandy vs Panda | 4–4 | 50.00% |
| Dandy vs Clive | 2–5 | 28.57% |
| Dandy vs Fahkumram | 4–3 | 57.14% |
| Dandy vs Zafina | 2–3 | 40.00% |
| Dandy vs Anna | 3–2 | 60.00% |
| Dandy vs Shaheen | 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.