| NazGhul vs Eddy | 19–9 | 67.86% |
| NazGhul vs Kazuya | 18–2 | 90.00% |
| NazGhul vs Reina | 13–3 | 81.25% |
| NazGhul vs Bryan | 12–0 | 100.00% |
| NazGhul vs King | 10–1 | 90.91% |
| NazGhul vs Jin | 8–2 | 80.00% |
| NazGhul vs Feng | 6–4 | 60.00% |
| NazGhul vs Heihachi | 6–4 | 60.00% |
| NazGhul vs Dragunov | 4–5 | 44.44% |
| NazGhul vs Steve | 6–2 | 75.00% |
| NazGhul vs Victor | 6–2 | 75.00% |
| NazGhul vs Fahkumram | 8–0 | 100.00% |
| NazGhul vs Law | 6–1 | 85.71% |
| NazGhul vs Xiaoyu | 7–0 | 100.00% |
| NazGhul vs Lili | 6–1 | 85.71% |
| NazGhul vs Jun | 5–1 | 83.33% |
| NazGhul vs Yoshimitsu | 3–2 | 60.00% |
| NazGhul vs Devil Jin | 0–5 | 0.00% |
| NazGhul vs Hwoarang | 3–1 | 75.00% |
| NazGhul vs Asuka | 3–1 | 75.00% |
| NazGhul vs Shaheen | 3–1 | 75.00% |
| NazGhul vs Alisa | 2–1 | 66.67% |
| NazGhul vs Lee | 3–0 | 100.00% |
| NazGhul vs Raven | 2–1 | 66.67% |
| NazGhul vs Armor King | 2–1 | 66.67% |
| NazGhul vs Claudio | 0–2 | 0.00% |
| NazGhul vs Azucena | 2–0 | 100.00% |
| NazGhul vs Lidia | 0–2 | 0.00% |
| NazGhul vs Paul | 1–0 | 100.00% |
| NazGhul vs Jack-8 | 1–0 | 100.00% |
| NazGhul vs Leo | 1–0 | 100.00% |
| NazGhul vs Lars | 1–0 | 100.00% |
| NazGhul vs Nina | 1–0 | 100.00% |
| NazGhul vs Kuma | 1–0 | 100.00% |
| NazGhul vs Panda | 0–1 | 0.00% |
| NazGhul 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.