| DDYF1027 vs Kazuya | 92–72 | 56.10% |
| DDYF1027 vs Dragunov | 73–84 | 46.50% |
| DDYF1027 vs Jin | 66–83 | 44.30% |
| DDYF1027 vs Hwoarang | 70–68 | 50.72% |
| DDYF1027 vs Reina | 76–62 | 55.07% |
| DDYF1027 vs Paul | 61–66 | 48.03% |
| DDYF1027 vs King | 58–48 | 54.72% |
| DDYF1027 vs Lili | 42–56 | 42.86% |
| DDYF1027 vs Victor | 25–66 | 27.47% |
| DDYF1027 vs Bryan | 45–42 | 51.72% |
| DDYF1027 vs Azucena | 43–38 | 53.09% |
| DDYF1027 vs Steve | 47–28 | 62.67% |
| DDYF1027 vs Devil Jin | 39–34 | 53.42% |
| DDYF1027 vs Law | 26–46 | 36.11% |
| DDYF1027 vs Yoshimitsu | 25–39 | 39.06% |
| DDYF1027 vs Lee | 27–37 | 42.19% |
| DDYF1027 vs Leroy | 31–33 | 48.44% |
| DDYF1027 vs Feng | 18–38 | 32.14% |
| DDYF1027 vs Asuka | 25–30 | 45.45% |
| DDYF1027 vs Claudio | 29–24 | 54.72% |
| DDYF1027 vs Eddy | 17–36 | 32.08% |
| DDYF1027 vs Jun | 19–32 | 37.25% |
| DDYF1027 vs Xiaoyu | 23–27 | 46.00% |
| DDYF1027 vs Leo | 19–30 | 38.78% |
| DDYF1027 vs Jack-8 | 20–25 | 44.44% |
| DDYF1027 vs Alisa | 17–28 | 37.78% |
| DDYF1027 vs Nina | 23–20 | 53.49% |
| DDYF1027 vs Lidia | 22–20 | 52.38% |
| DDYF1027 vs Lars | 17–24 | 41.46% |
| DDYF1027 vs Shaheen | 17–22 | 43.59% |
| DDYF1027 vs Raven | 19–14 | 57.58% |
| DDYF1027 vs Kuma | 7–15 | 31.82% |
| DDYF1027 vs Heihachi | 9–13 | 40.91% |
| DDYF1027 vs Zafina | 11–7 | 61.11% |
| DDYF1027 vs Panda | 3–2 | 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.