| Dakkarn vs King | 62–83 | 42.76% |
| Dakkarn vs Kazuya | 43–80 | 34.96% |
| Dakkarn vs Jin | 52–66 | 44.07% |
| Dakkarn vs Reina | 66–49 | 57.39% |
| Dakkarn vs Steve | 45–50 | 47.37% |
| Dakkarn vs Bryan | 38–55 | 40.86% |
| Dakkarn vs Law | 28–47 | 37.33% |
| Dakkarn vs Fahkumram | 31–43 | 41.89% |
| Dakkarn vs Armor King | 44–30 | 59.46% |
| Dakkarn vs Victor | 37–34 | 52.11% |
| Dakkarn vs Dragunov | 26–37 | 41.27% |
| Dakkarn vs Heihachi | 37–26 | 58.73% |
| Dakkarn vs Jun | 28–33 | 45.90% |
| Dakkarn vs Lili | 20–38 | 34.48% |
| Dakkarn vs Lars | 23–29 | 44.23% |
| Dakkarn vs Hwoarang | 20–30 | 40.00% |
| Dakkarn vs Clive | 29–20 | 59.18% |
| Dakkarn vs Lee | 13–33 | 28.26% |
| Dakkarn vs Yoshimitsu | 25–19 | 56.82% |
| Dakkarn vs Lidia | 13–28 | 31.71% |
| Dakkarn vs Azucena | 15–25 | 37.50% |
| Dakkarn vs Asuka | 13–25 | 34.21% |
| Dakkarn vs Nina | 19–18 | 51.35% |
| Dakkarn vs Xiaoyu | 15–21 | 41.67% |
| Dakkarn vs Eddy | 18–18 | 50.00% |
| Dakkarn vs Devil Jin | 16–17 | 48.48% |
| Dakkarn vs Paul | 16–16 | 50.00% |
| Dakkarn vs Anna | 12–18 | 40.00% |
| Dakkarn vs Jack-8 | 12–16 | 42.86% |
| Dakkarn vs Miary Zo | 13–15 | 46.43% |
| Dakkarn vs Feng | 7–18 | 28.00% |
| Dakkarn vs Leo | 13–12 | 52.00% |
| Dakkarn vs Alisa | 7–16 | 30.43% |
| Dakkarn vs Leroy | 7–15 | 31.82% |
| Dakkarn vs Zafina | 6–15 | 28.57% |
| Dakkarn vs Raven | 10–11 | 47.62% |
| Dakkarn vs Kuma | 5–8 | 38.46% |
| Dakkarn vs Claudio | 5–5 | 50.00% |
| Dakkarn vs Panda | 7–3 | 70.00% |
| Dakkarn vs Shaheen | 2–6 | 25.00% |
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.