| DhulQarnayn vs Kazuya | 30–29 | 50.85% |
| DhulQarnayn vs Reina | 27–21 | 56.25% |
| DhulQarnayn vs Jin | 21–24 | 46.67% |
| DhulQarnayn vs King | 13–24 | 35.14% |
| DhulQarnayn vs Hwoarang | 26–11 | 70.27% |
| DhulQarnayn vs Steve | 14–20 | 41.18% |
| DhulQarnayn vs Bryan | 17–16 | 51.52% |
| DhulQarnayn vs Heihachi | 11–16 | 40.74% |
| DhulQarnayn vs Lili | 7–14 | 33.33% |
| DhulQarnayn vs Lars | 9–11 | 45.00% |
| DhulQarnayn vs Law | 9–10 | 47.37% |
| DhulQarnayn vs Feng | 8–10 | 44.44% |
| DhulQarnayn vs Fahkumram | 12–6 | 66.67% |
| DhulQarnayn vs Dragunov | 8–9 | 47.06% |
| DhulQarnayn vs Armor King | 9–8 | 52.94% |
| DhulQarnayn vs Yoshimitsu | 10–5 | 66.67% |
| DhulQarnayn vs Devil Jin | 10–4 | 71.43% |
| DhulQarnayn vs Alisa | 4–9 | 30.77% |
| DhulQarnayn vs Nina | 9–4 | 69.23% |
| DhulQarnayn vs Victor | 6–7 | 46.15% |
| DhulQarnayn vs Jun | 8–4 | 66.67% |
| DhulQarnayn vs Azucena | 7–5 | 58.33% |
| DhulQarnayn vs Clive | 3–7 | 30.00% |
| DhulQarnayn vs Asuka | 3–6 | 33.33% |
| DhulQarnayn vs Claudio | 7–0 | 100.00% |
| DhulQarnayn vs Eddy | 1–6 | 14.29% |
| DhulQarnayn vs Leroy | 0–6 | 0.00% |
| DhulQarnayn vs Anna | 2–4 | 33.33% |
| DhulQarnayn vs Shaheen | 1–4 | 20.00% |
| DhulQarnayn vs Miary Zo | 3–2 | 60.00% |
| DhulQarnayn vs Paul | 0–4 | 0.00% |
| DhulQarnayn vs Xiaoyu | 2–2 | 50.00% |
| DhulQarnayn vs Lee | 3–1 | 75.00% |
| DhulQarnayn vs Raven | 2–2 | 50.00% |
| DhulQarnayn vs Lidia | 0–3 | 0.00% |
| DhulQarnayn vs Jack-8 | 0–2 | 0.00% |
| DhulQarnayn vs Leo | 0–1 | 0.00% |
| DhulQarnayn vs Panda | 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.