| Da Dao vs Kazuya | 110–62 | 63.95% |
| Da Dao vs Jin | 69–66 | 51.11% |
| Da Dao vs King | 76–54 | 58.46% |
| Da Dao vs Reina | 65–50 | 56.52% |
| Da Dao vs Steve | 58–50 | 53.70% |
| Da Dao vs Bryan | 50–44 | 53.19% |
| Da Dao vs Yoshimitsu | 42–45 | 48.28% |
| Da Dao vs Hwoarang | 50–35 | 58.82% |
| Da Dao vs Law | 48–30 | 61.54% |
| Da Dao vs Lars | 42–35 | 54.55% |
| Da Dao vs Lee | 46–31 | 59.74% |
| Da Dao vs Dragunov | 44–27 | 61.97% |
| Da Dao vs Jun | 36–32 | 52.94% |
| Da Dao vs Paul | 37–30 | 55.22% |
| Da Dao vs Lili | 31–32 | 49.21% |
| Da Dao vs Asuka | 30–30 | 50.00% |
| Da Dao vs Alisa | 34–21 | 61.82% |
| Da Dao vs Azucena | 32–23 | 58.18% |
| Da Dao vs Nina | 24–30 | 44.44% |
| Da Dao vs Xiaoyu | 26–26 | 50.00% |
| Da Dao vs Devil Jin | 18–25 | 41.86% |
| Da Dao vs Leo | 23–20 | 53.49% |
| Da Dao vs Lidia | 28–15 | 65.12% |
| Da Dao vs Jack-8 | 25–17 | 59.52% |
| Da Dao vs Feng | 20–19 | 51.28% |
| Da Dao vs Raven | 17–18 | 48.57% |
| Da Dao vs Heihachi | 15–20 | 42.86% |
| Da Dao vs Victor | 21–12 | 63.64% |
| Da Dao vs Eddy | 16–17 | 48.48% |
| Da Dao vs Zafina | 12–13 | 48.00% |
| Da Dao vs Shaheen | 13–11 | 54.17% |
| Da Dao vs Leroy | 11–13 | 45.83% |
| Da Dao vs Claudio | 6–12 | 33.33% |
| Da Dao vs Kuma | 8–9 | 47.06% |
| Da Dao vs Clive | 0–7 | 0.00% |
| Da Dao vs Panda | 2–2 | 50.00% |
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.