| Dalyne vs Hwoarang | 296–178 | 62.45% |
| Dalyne vs Jin | 291–180 | 61.78% |
| Dalyne vs Kazuya | 276–178 | 60.79% |
| Dalyne vs King | 262–127 | 67.35% |
| Dalyne vs Reina | 245–142 | 63.31% |
| Dalyne vs Steve | 210–175 | 54.55% |
| Dalyne vs Bryan | 225–152 | 59.68% |
| Dalyne vs Law | 227–127 | 64.12% |
| Dalyne vs Lili | 200–124 | 61.73% |
| Dalyne vs Dragunov | 175–149 | 54.01% |
| Dalyne vs Devil Jin | 180–139 | 56.43% |
| Dalyne vs Lars | 182–133 | 57.78% |
| Dalyne vs Yoshimitsu | 204–99 | 67.33% |
| Dalyne vs Lee | 157–121 | 56.47% |
| Dalyne vs Heihachi | 169–94 | 64.26% |
| Dalyne vs Jun | 158–101 | 61.00% |
| Dalyne vs Paul | 156–97 | 61.66% |
| Dalyne vs Nina | 153–96 | 61.45% |
| Dalyne vs Xiaoyu | 158–87 | 64.49% |
| Dalyne vs Asuka | 168–71 | 70.29% |
| Dalyne vs Azucena | 152–79 | 65.80% |
| Dalyne vs Eddy | 132–84 | 61.11% |
| Dalyne vs Raven | 137–72 | 65.55% |
| Dalyne vs Jack-8 | 119–82 | 59.20% |
| Dalyne vs Lidia | 117–81 | 59.09% |
| Dalyne vs Victor | 114–77 | 59.69% |
| Dalyne vs Feng | 105–79 | 57.07% |
| Dalyne vs Leo | 108–65 | 62.43% |
| Dalyne vs Alisa | 100–71 | 58.48% |
| Dalyne vs Leroy | 92–66 | 58.23% |
| Dalyne vs Shaheen | 109–44 | 71.24% |
| Dalyne vs Claudio | 93–56 | 62.42% |
| Dalyne vs Zafina | 82–62 | 56.94% |
| Dalyne vs Clive | 81–60 | 57.45% |
| Dalyne vs Armor King | 77–59 | 56.62% |
| Dalyne vs Kuma | 61–51 | 54.46% |
| Dalyne vs Anna | 72–40 | 64.29% |
| Dalyne vs Miary Zo | 51–41 | 55.43% |
| Dalyne vs Fahkumram | 54–36 | 60.00% |
| Dalyne vs Panda | 29–18 | 61.70% |
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.