| Daengol vs Kazuya | 138–114 | 54.76% |
| Daengol vs Jin | 94–93 | 50.27% |
| Daengol vs Bryan | 59–73 | 44.70% |
| Daengol vs Hwoarang | 51–65 | 43.97% |
| Daengol vs Reina | 57–53 | 51.82% |
| Daengol vs Paul | 37–66 | 35.92% |
| Daengol vs King | 57–45 | 55.88% |
| Daengol vs Dragunov | 29–65 | 30.85% |
| Daengol vs Devil Jin | 34–55 | 38.20% |
| Daengol vs Steve | 33–45 | 42.31% |
| Daengol vs Lili | 33–45 | 42.31% |
| Daengol vs Yoshimitsu | 27–45 | 37.50% |
| Daengol vs Lee | 25–35 | 41.67% |
| Daengol vs Jun | 27–29 | 48.21% |
| Daengol vs Eddy | 17–38 | 30.91% |
| Daengol vs Lars | 24–29 | 45.28% |
| Daengol vs Law | 17–34 | 33.33% |
| Daengol vs Jack-8 | 18–29 | 38.30% |
| Daengol vs Claudio | 17–29 | 36.96% |
| Daengol vs Nina | 22–24 | 47.83% |
| Daengol vs Leroy | 17–27 | 38.64% |
| Daengol vs Azucena | 19–25 | 43.18% |
| Daengol vs Victor | 17–26 | 39.53% |
| Daengol vs Asuka | 17–25 | 40.48% |
| Daengol vs Zafina | 16–25 | 39.02% |
| Daengol vs Xiaoyu | 13–27 | 32.50% |
| Daengol vs Lidia | 13–26 | 33.33% |
| Daengol vs Feng | 19–16 | 54.29% |
| Daengol vs Leo | 15–20 | 42.86% |
| Daengol vs Alisa | 14–17 | 45.16% |
| Daengol vs Raven | 13–17 | 43.33% |
| Daengol vs Shaheen | 10–18 | 35.71% |
| Daengol vs Kuma | 9–11 | 45.00% |
| Daengol vs Panda | 5–6 | 45.45% |
| Daengol vs Heihachi | 6–4 | 60.00% |
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.