| DMS/Darckfeng vs Clive | 17–25 | 40.48% |
| DMS/Darckfeng vs Steve | 24–13 | 64.86% |
| DMS/Darckfeng vs Jin | 17–17 | 50.00% |
| DMS/Darckfeng vs Asuka | 22–10 | 68.75% |
| DMS/Darckfeng vs Reina | 23–8 | 74.19% |
| DMS/Darckfeng vs Lee | 11–17 | 39.29% |
| DMS/Darckfeng vs Law | 21–6 | 77.78% |
| DMS/Darckfeng vs King | 17–8 | 68.00% |
| DMS/Darckfeng vs Hwoarang | 14–10 | 58.33% |
| DMS/Darckfeng vs Dragunov | 11–9 | 55.00% |
| DMS/Darckfeng vs Kazuya | 11–6 | 64.71% |
| DMS/Darckfeng vs Nina | 13–2 | 86.67% |
| DMS/Darckfeng vs Leo | 9–5 | 64.29% |
| DMS/Darckfeng vs Devil Jin | 5–8 | 38.46% |
| DMS/Darckfeng vs Paul | 9–3 | 75.00% |
| DMS/Darckfeng vs Eddy | 6–5–1 | 54.55% |
| DMS/Darckfeng vs Jun | 3–7 | 30.00% |
| DMS/Darckfeng vs Azucena | 5–5 | 50.00% |
| DMS/Darckfeng vs Lars | 5–4 | 55.56% |
| DMS/Darckfeng vs Alisa | 7–2 | 77.78% |
| DMS/Darckfeng vs Lidia | 6–3 | 66.67% |
| DMS/Darckfeng vs Jack-8 | 5–3 | 62.50% |
| DMS/Darckfeng vs Lili | 4–4 | 50.00% |
| DMS/Darckfeng vs Heihachi | 4–2 | 66.67% |
| DMS/Darckfeng vs Kuma | 1–4 | 20.00% |
| DMS/Darckfeng vs Xiaoyu | 2–2 | 50.00% |
| DMS/Darckfeng vs Shaheen | 4–0 | 100.00% |
| DMS/Darckfeng vs Yoshimitsu | 1–2 | 33.33% |
| DMS/Darckfeng vs Feng | 1–2 | 33.33% |
| DMS/Darckfeng vs Victor | 2–1 | 66.67% |
| DMS/Darckfeng vs Bryan | 2–0 | 100.00% |
| DMS/Darckfeng vs Leroy | 0–2 | 0.00% |
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.