| N1ghtF4ll vs King | 33–47 | 41.25% |
| N1ghtF4ll vs Dragunov | 39–36 | 52.00% |
| N1ghtF4ll vs Jin | 23–37 | 38.33% |
| N1ghtF4ll vs Asuka | 30–27 | 52.63% |
| N1ghtF4ll vs Reina | 25–20 | 55.56% |
| N1ghtF4ll vs Kazuya | 16–20 | 44.44% |
| N1ghtF4ll vs Steve | 12–24 | 33.33% |
| N1ghtF4ll vs Lidia | 13–21 | 38.24% |
| N1ghtF4ll vs Yoshimitsu | 11–21 | 34.38% |
| N1ghtF4ll vs Bryan | 13–14 | 48.15% |
| N1ghtF4ll vs Feng | 5–21 | 19.23% |
| N1ghtF4ll vs Alisa | 12–14 | 46.15% |
| N1ghtF4ll vs Lili | 8–17 | 32.00% |
| N1ghtF4ll vs Law | 10–14 | 41.67% |
| N1ghtF4ll vs Heihachi | 11–12 | 47.83% |
| N1ghtF4ll vs Leroy | 5–16 | 23.81% |
| N1ghtF4ll vs Paul | 6–14 | 30.00% |
| N1ghtF4ll vs Devil Jin | 6–14 | 30.00% |
| N1ghtF4ll vs Hwoarang | 8–10 | 44.44% |
| N1ghtF4ll vs Jun | 4–14 | 22.22% |
| N1ghtF4ll vs Xiaoyu | 5–11 | 31.25% |
| N1ghtF4ll vs Lee | 9–7 | 56.25% |
| N1ghtF4ll vs Eddy | 7–9 | 43.75% |
| N1ghtF4ll vs Victor | 3–8 | 27.27% |
| N1ghtF4ll vs Lars | 8–2 | 80.00% |
| N1ghtF4ll vs Leo | 2–6 | 25.00% |
| N1ghtF4ll vs Nina | 2–6 | 25.00% |
| N1ghtF4ll vs Zafina | 8–0 | 100.00% |
| N1ghtF4ll vs Azucena | 5–2 | 71.43% |
| N1ghtF4ll vs Claudio | 3–3 | 50.00% |
| N1ghtF4ll vs Panda | 4–1 | 80.00% |
| N1ghtF4ll vs Raven | 4–1 | 80.00% |
| N1ghtF4ll vs Shaheen | 0–4 | 0.00% |
| N1ghtF4ll vs Kuma | 0–3 | 0.00% |
| N1ghtF4ll vs Jack-8 | 2–0 | 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.