| DaiYū vs King | 42–51 | 45.16% |
| DaiYū vs Jin | 35–43 | 44.87% |
| DaiYū vs Reina | 28–46 | 37.84% |
| DaiYū vs Steve | 37–31 | 54.41% |
| DaiYū vs Hwoarang | 27–32 | 45.76% |
| DaiYū vs Bryan | 25–30 | 45.45% |
| DaiYū vs Paul | 18–34 | 34.62% |
| DaiYū vs Kazuya | 18–32 | 36.00% |
| DaiYū vs Lili | 21–29 | 42.00% |
| DaiYū vs Heihachi | 20–30 | 40.00% |
| DaiYū vs Clive | 22–26 | 45.83% |
| DaiYū vs Lidia | 23–24 | 48.94% |
| DaiYū vs Fahkumram | 20–26 | 43.48% |
| DaiYū vs Azucena | 19–26 | 42.22% |
| DaiYū vs Law | 14–28 | 33.33% |
| DaiYū vs Dragunov | 23–19 | 54.76% |
| DaiYū vs Lee | 15–26 | 36.59% |
| DaiYū vs Yoshimitsu | 14–26 | 35.00% |
| DaiYū vs Jun | 11–20 | 35.48% |
| DaiYū vs Eddy | 16–13 | 55.17% |
| DaiYū vs Victor | 13–11 | 54.17% |
| DaiYū vs Xiaoyu | 7–13 | 35.00% |
| DaiYū vs Asuka | 7–11 | 38.89% |
| DaiYū vs Leo | 8–10 | 44.44% |
| DaiYū vs Raven | 7–11 | 38.89% |
| DaiYū vs Devil Jin | 11–6 | 64.71% |
| DaiYū vs Anna | 9–8 | 52.94% |
| DaiYū vs Jack-8 | 4–11 | 26.67% |
| DaiYū vs Feng | 6–9 | 40.00% |
| DaiYū vs Lars | 5–10 | 33.33% |
| DaiYū vs Nina | 7–8 | 46.67% |
| DaiYū vs Leroy | 3–10 | 23.08% |
| DaiYū vs Shaheen | 6–4 | 60.00% |
| DaiYū vs Panda | 7–3 | 70.00% |
| DaiYū vs Claudio | 3–6 | 33.33% |
| DaiYū vs Alisa | 4–2 | 66.67% |
| DaiYū vs Kuma | 3–3 | 50.00% |
| DaiYū vs Zafina | 1–0 | 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.