| Daekun vs Jin | 68–51 | 57.14% |
| Daekun vs Devil Jin | 33–29 | 53.23% |
| Daekun vs Steve | 43–17–1 | 71.67% |
| Daekun vs Reina | 40–20 | 66.67% |
| Daekun vs Paul | 29–28 | 50.88% |
| Daekun vs Kazuya | 36–21 | 63.16% |
| Daekun vs Bryan | 31–24 | 56.36% |
| Daekun vs Dragunov | 27–27 | 50.00% |
| Daekun vs Yoshimitsu | 28–23 | 54.90% |
| Daekun vs Hwoarang | 33–18 | 64.71% |
| Daekun vs Lee | 25–25 | 50.00% |
| Daekun vs Claudio | 23–26 | 46.94% |
| Daekun vs King | 28–20 | 58.33% |
| Daekun vs Lili | 30–16 | 65.22% |
| Daekun vs Feng | 21–15 | 58.33% |
| Daekun vs Law | 20–15 | 57.14% |
| Daekun vs Lars | 14–20 | 41.18% |
| Daekun vs Victor | 21–11 | 65.62% |
| Daekun vs Lidia | 13–18 | 41.94% |
| Daekun vs Xiaoyu | 9–19 | 32.14% |
| Daekun vs Alisa | 14–14 | 50.00% |
| Daekun vs Nina | 15–13 | 53.57% |
| Daekun vs Jun | 18–9 | 66.67% |
| Daekun vs Eddy | 16–11 | 59.26% |
| Daekun vs Zafina | 14–12 | 53.85% |
| Daekun vs Asuka | 13–11 | 54.17% |
| Daekun vs Jack-8 | 11–11 | 50.00% |
| Daekun vs Raven | 15–7 | 68.18% |
| Daekun vs Leo | 7–13 | 35.00% |
| Daekun vs Shaheen | 12–6 | 66.67% |
| Daekun vs Leroy | 13–4 | 76.47% |
| Daekun vs Azucena | 8–4 | 66.67% |
| Daekun vs Heihachi | 7–2 | 77.78% |
| Daekun vs Kuma | 6–2 | 75.00% |
| Daekun vs Panda | 2–2 | 50.00% |
| Daekun vs Clive | 4–0 | 100.00% |
| Daekun vs Armor King | 2–0 | 100.00% |
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.