| NicFlair_ vs Steve | 19–7 | 73.08% |
| NicFlair_ vs Jin | 15–10 | 60.00% |
| NicFlair_ vs King | 13–6 | 68.42% |
| NicFlair_ vs Kazuya | 14–4 | 77.78% |
| NicFlair_ vs Eddy | 11–5 | 68.75% |
| NicFlair_ vs Jun | 10–4 | 71.43% |
| NicFlair_ vs Bryan | 5–7 | 41.67% |
| NicFlair_ vs Dragunov | 1–11 | 8.33% |
| NicFlair_ vs Nina | 6–5 | 54.55% |
| NicFlair_ vs Lili | 3–7 | 30.00% |
| NicFlair_ vs Lee | 1–9 | 10.00% |
| NicFlair_ vs Reina | 8–1 | 88.89% |
| NicFlair_ vs Hwoarang | 4–4 | 50.00% |
| NicFlair_ vs Heihachi | 6–2 | 75.00% |
| NicFlair_ vs Paul | 3–4 | 42.86% |
| NicFlair_ vs Asuka | 4–3 | 57.14% |
| NicFlair_ vs Devil Jin | 4–3 | 57.14% |
| NicFlair_ vs Law | 5–1 | 83.33% |
| NicFlair_ vs Lars | 1–5 | 16.67% |
| NicFlair_ vs Claudio | 4–2 | 66.67% |
| NicFlair_ vs Raven | 6–0 | 100.00% |
| NicFlair_ vs Yoshimitsu | 1–4 | 20.00% |
| NicFlair_ vs Leo | 2–3 | 40.00% |
| NicFlair_ vs Lidia | 1–4 | 20.00% |
| NicFlair_ vs Jack-8 | 1–3 | 25.00% |
| NicFlair_ vs Alisa | 2–2 | 50.00% |
| NicFlair_ vs Kuma | 2–2 | 50.00% |
| NicFlair_ vs Leroy | 1–3 | 25.00% |
| NicFlair_ vs Azucena | 1–3 | 25.00% |
| NicFlair_ vs Clive | 1–3 | 25.00% |
| NicFlair_ vs Victor | 2–1 | 66.67% |
| NicFlair_ vs Feng | 2–0 | 100.00% |
| NicFlair_ vs Panda | 1–1 | 50.00% |
| NicFlair_ vs Xiaoyu | 1–0 | 100.00% |
| NicFlair_ vs Shaheen | 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.