| Nif Bun vs Steve | 18–9 | 66.67% |
| Nif Bun vs Jin | 4–13 | 23.53% |
| Nif Bun vs King | 6–8 | 42.86% |
| Nif Bun vs Armor King | 5–9 | 35.71% |
| Nif Bun vs Leroy | 7–6 | 53.85% |
| Nif Bun vs Azucena | 7–3 | 70.00% |
| Nif Bun vs Jun | 4–5 | 44.44% |
| Nif Bun vs Reina | 7–2 | 77.78% |
| Nif Bun vs Anna | 5–4 | 55.56% |
| Nif Bun vs Paul | 5–3 | 62.50% |
| Nif Bun vs Hwoarang | 3–5 | 37.50% |
| Nif Bun vs Lili | 4–4 | 50.00% |
| Nif Bun vs Nina | 3–5 | 37.50% |
| Nif Bun vs Law | 3–4 | 42.86% |
| Nif Bun vs Kazuya | 0–7 | 0.00% |
| Nif Bun vs Zafina | 5–2 | 71.43% |
| Nif Bun vs Asuka | 5–1 | 83.33% |
| Nif Bun vs Dragunov | 4–2 | 66.67% |
| Nif Bun vs Fahkumram | 1–5 | 16.67% |
| Nif Bun vs Miary Zo | 1–5 | 16.67% |
| Nif Bun vs Yoshimitsu | 1–4 | 20.00% |
| Nif Bun vs Lidia | 2–3 | 40.00% |
| Nif Bun vs Heihachi | 4–1 | 80.00% |
| Nif Bun vs Clive | 2–3 | 40.00% |
| Nif Bun vs Alisa | 2–2 | 50.00% |
| Nif Bun vs Lee | 2–2 | 50.00% |
| Nif Bun vs Devil Jin | 2–1 | 66.67% |
| Nif Bun vs Leo | 2–1 | 66.67% |
| Nif Bun vs Lars | 1–2 | 33.33% |
| Nif Bun vs Raven | 3–0 | 100.00% |
| Nif Bun vs Eddy | 1–2 | 33.33% |
| Nif Bun vs Xiaoyu | 2–0 | 100.00% |
| Nif Bun vs Bryan | 1–1 | 50.00% |
| Nif Bun vs Shaheen | 1–1 | 50.00% |
| Nif Bun vs Kuma | 2–0 | 100.00% |
| Nif Bun vs Feng | 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.