| Daltronica vs Jin | 147–167 | 46.82% |
| Daltronica vs Kazuya | 150–153 | 49.50% |
| Daltronica vs Bryan | 96–134 | 41.74% |
| Daltronica vs King | 114–107 | 51.58% |
| Daltronica vs Law | 101–77 | 56.74% |
| Daltronica vs Hwoarang | 79–85 | 48.17% |
| Daltronica vs Reina | 70–91 | 43.48% |
| Daltronica vs Paul | 76–79 | 49.03% |
| Daltronica vs Steve | 71–70 | 50.35% |
| Daltronica vs Dragunov | 63–74 | 45.99% |
| Daltronica vs Lili | 44–82 | 34.92% |
| Daltronica vs Heihachi | 56–69 | 44.80% |
| Daltronica vs Yoshimitsu | 51–69 | 42.50% |
| Daltronica vs Eddy | 55–57 | 49.11% |
| Daltronica vs Jun | 49–57 | 46.23% |
| Daltronica vs Devil Jin | 53–50 | 51.46% |
| Daltronica vs Lee | 40–57 | 41.24% |
| Daltronica vs Xiaoyu | 38–51 | 42.70% |
| Daltronica vs Nina | 41–48 | 46.07% |
| Daltronica vs Asuka | 41–44 | 48.24% |
| Daltronica vs Lars | 42–42 | 50.00% |
| Daltronica vs Azucena | 33–46 | 41.77% |
| Daltronica vs Feng | 32–45 | 41.56% |
| Daltronica vs Clive | 24–53 | 31.17% |
| Daltronica vs Victor | 28–32 | 46.67% |
| Daltronica vs Leo | 27–29 | 48.21% |
| Daltronica vs Miary Zo | 20–35 | 36.36% |
| Daltronica vs Alisa | 15–38 | 28.30% |
| Daltronica vs Leroy | 27–23 | 54.00% |
| Daltronica vs Jack-8 | 21–26 | 44.68% |
| Daltronica vs Raven | 21–24 | 46.67% |
| Daltronica vs Armor King | 18–21 | 46.15% |
| Daltronica vs Kuma | 19–18 | 51.35% |
| Daltronica vs Zafina | 16–21 | 43.24% |
| Daltronica vs Anna | 23–14 | 62.16% |
| Daltronica vs Lidia | 12–22 | 35.29% |
| Daltronica vs Shaheen | 19–13 | 59.38% |
| Daltronica vs Claudio | 9–18 | 33.33% |
| Daltronica vs Fahkumram | 6–13 | 31.58% |
| Daltronica vs Panda | 3–10 | 23.08% |
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.