| DaengY vs Hwoarang | 147–92 | 61.51% |
| DaengY vs Kazuya | 115–91 | 55.83% |
| DaengY vs Bryan | 94–82 | 53.41% |
| DaengY vs Paul | 103–61 | 62.80% |
| DaengY vs King | 65–79 | 45.14% |
| DaengY vs Dragunov | 73–67 | 52.14% |
| DaengY vs Jin | 73–55 | 57.03% |
| DaengY vs Reina | 58–38 | 60.42% |
| DaengY vs Victor | 37–44 | 45.68% |
| DaengY vs Steve | 41–39 | 51.25% |
| DaengY vs Law | 37–41 | 47.44% |
| DaengY vs Lili | 42–33 | 56.00% |
| DaengY vs Devil Jin | 32–38 | 45.71% |
| DaengY vs Claudio | 38–32 | 54.29% |
| DaengY vs Nina | 41–28 | 59.42% |
| DaengY vs Asuka | 24–43 | 35.82% |
| DaengY vs Feng | 37–30 | 55.22% |
| DaengY vs Leroy | 28–36–1 | 43.75% |
| DaengY vs Lee | 26–38 | 40.62% |
| DaengY vs Jun | 32–32 | 50.00% |
| DaengY vs Leo | 29–32 | 47.54% |
| DaengY vs Lars | 32–29 | 52.46% |
| DaengY vs Yoshimitsu | 26–32 | 44.83% |
| DaengY vs Heihachi | 27–30 | 47.37% |
| DaengY vs Eddy | 30–26 | 53.57% |
| DaengY vs Azucena | 30–25 | 54.55% |
| DaengY vs Xiaoyu | 23–29 | 44.23% |
| DaengY vs Armor King | 25–27 | 48.08% |
| DaengY vs Lidia | 28–21 | 57.14% |
| DaengY vs Alisa | 27–21 | 56.25% |
| DaengY vs Fahkumram | 19–29 | 39.58% |
| DaengY vs Kuma | 20–19 | 51.28% |
| DaengY vs Jack-8 | 20–17 | 54.05% |
| DaengY vs Anna | 18–14 | 56.25% |
| DaengY vs Zafina | 14–15 | 48.28% |
| DaengY vs Clive | 14–15 | 48.28% |
| DaengY vs Raven | 13–13 | 50.00% |
| DaengY vs Miary Zo | 15–10 | 60.00% |
| DaengY vs Shaheen | 7–12 | 36.84% |
| DaengY vs Panda | 8–10 | 44.44% |
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.