| NIFHAW vs King | 22–10 | 68.75% |
| NIFHAW vs Kazuya | 10–11 | 47.62% |
| NIFHAW vs Reina | 6–9 | 40.00% |
| NIFHAW vs Bryan | 5–8 | 38.46% |
| NIFHAW vs Fahkumram | 7–5 | 58.33% |
| NIFHAW vs Steve | 4–7 | 36.36% |
| NIFHAW vs Alisa | 6–5 | 54.55% |
| NIFHAW vs Armor King | 4–7 | 36.36% |
| NIFHAW vs Paul | 7–3 | 70.00% |
| NIFHAW vs Jin | 8–1 | 88.89% |
| NIFHAW vs Dragunov | 2–7 | 22.22% |
| NIFHAW vs Nina | 2–6 | 25.00% |
| NIFHAW vs Devil Jin | 5–2 | 71.43% |
| NIFHAW vs Lidia | 5–2 | 71.43% |
| NIFHAW vs Law | 3–3 | 50.00% |
| NIFHAW vs Hwoarang | 2–4 | 33.33% |
| NIFHAW vs Yoshimitsu | 2–3 | 40.00% |
| NIFHAW vs Azucena | 2–3 | 40.00% |
| NIFHAW vs Raven | 4–1 | 80.00% |
| NIFHAW vs Xiaoyu | 1–3 | 25.00% |
| NIFHAW vs Jun | 4–0 | 100.00% |
| NIFHAW vs Eddy | 1–3 | 25.00% |
| NIFHAW vs Jack-8 | 2–1 | 66.67% |
| NIFHAW vs Asuka | 3–0 | 100.00% |
| NIFHAW vs Feng | 3–0 | 100.00% |
| NIFHAW vs Lili | 1–2 | 33.33% |
| NIFHAW vs Kuma | 2–1 | 66.67% |
| NIFHAW vs Zafina | 1–2 | 33.33% |
| NIFHAW vs Leroy | 1–2 | 33.33% |
| NIFHAW vs Victor | 2–1 | 66.67% |
| NIFHAW vs Heihachi | 1–2 | 33.33% |
| NIFHAW vs Claudio | 0–2 | 0.00% |
| NIFHAW vs Shaheen | 0–2 | 0.00% |
| NIFHAW vs Clive | 2–0 | 100.00% |
| NIFHAW vs Lars | 1–0 | 100.00% |
| NIFHAW vs Lee | 0–1 | 0.00% |
| NIFHAW vs Panda | 0–1 | 0.00% |
| NIFHAW vs Anna | 0–1 | 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.