| DaGr8S vs King | 73–88 | 45.34% |
| DaGr8S vs Kazuya | 55–62 | 47.01% |
| DaGr8S vs Hwoarang | 52–61 | 46.02% |
| DaGr8S vs Jin | 47–62 | 43.12% |
| DaGr8S vs Reina | 49–50 | 49.49% |
| DaGr8S vs Bryan | 35–62 | 36.08% |
| DaGr8S vs Steve | 33–56 | 37.08% |
| DaGr8S vs Azucena | 48–38 | 55.81% |
| DaGr8S vs Dragunov | 34–45 | 43.04% |
| DaGr8S vs Lili | 43–35 | 55.13% |
| DaGr8S vs Lee | 28–43 | 39.44% |
| DaGr8S vs Law | 25–44 | 36.23% |
| DaGr8S vs Yoshimitsu | 29–34 | 46.03% |
| DaGr8S vs Xiaoyu | 30–23 | 56.60% |
| DaGr8S vs Eddy | 36–17 | 67.92% |
| DaGr8S vs Lidia | 20–33 | 37.74% |
| DaGr8S vs Asuka | 23–28 | 45.10% |
| DaGr8S vs Leo | 20–31 | 39.22% |
| DaGr8S vs Lars | 25–25 | 50.00% |
| DaGr8S vs Paul | 32–17 | 65.31% |
| DaGr8S vs Nina | 23–26 | 46.94% |
| DaGr8S vs Alisa | 22–22 | 50.00% |
| DaGr8S vs Jun | 22–22 | 50.00% |
| DaGr8S vs Feng | 15–24 | 38.46% |
| DaGr8S vs Victor | 21–18 | 53.85% |
| DaGr8S vs Heihachi | 14–25 | 35.90% |
| DaGr8S vs Jack-8 | 23–11 | 67.65% |
| DaGr8S vs Leroy | 20–11 | 64.52% |
| DaGr8S vs Claudio | 11–18 | 37.93% |
| DaGr8S vs Devil Jin | 10–16 | 38.46% |
| DaGr8S vs Raven | 8–18 | 30.77% |
| DaGr8S vs Clive | 9–17 | 34.62% |
| DaGr8S vs Shaheen | 9–8 | 52.94% |
| DaGr8S vs Kuma | 9–8 | 52.94% |
| DaGr8S vs Panda | 4–6 | 40.00% |
| DaGr8S vs Zafina | 3–6 | 33.33% |
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.