| nicholl vs Kazuya | 22–28 | 44.00% |
| nicholl vs Steve | 20–23 | 46.51% |
| nicholl vs Reina | 18–21 | 46.15% |
| nicholl vs Jin | 11–21 | 34.38% |
| nicholl vs King | 12–18 | 40.00% |
| nicholl vs Lars | 12–14 | 46.15% |
| nicholl vs Lili | 12–13 | 48.00% |
| nicholl vs Asuka | 11–12 | 47.83% |
| nicholl vs Dragunov | 10–12 | 45.45% |
| nicholl vs Bryan | 8–12 | 40.00% |
| nicholl vs Heihachi | 5–8 | 38.46% |
| nicholl vs Hwoarang | 5–7 | 41.67% |
| nicholl vs Xiaoyu | 3–9 | 25.00% |
| nicholl vs Devil Jin | 7–4 | 63.64% |
| nicholl vs Leo | 3–7 | 30.00% |
| nicholl vs Lee | 3–7 | 30.00% |
| nicholl vs Eddy | 1–9 | 10.00% |
| nicholl vs Yoshimitsu | 4–5 | 44.44% |
| nicholl vs Claudio | 6–3 | 66.67% |
| nicholl vs Armor King | 1–8 | 11.11% |
| nicholl vs Law | 3–5 | 37.50% |
| nicholl vs Jun | 4–3 | 57.14% |
| nicholl vs Victor | 3–4 | 42.86% |
| nicholl vs Nina | 0–6 | 0.00% |
| nicholl vs Lidia | 4–2 | 66.67% |
| nicholl vs Miary Zo | 4–2 | 66.67% |
| nicholl vs Paul | 3–2 | 60.00% |
| nicholl vs Feng | 3–2 | 60.00% |
| nicholl vs Alisa | 2–3 | 40.00% |
| nicholl vs Jack-8 | 4–0 | 100.00% |
| nicholl vs Clive | 2–2 | 50.00% |
| nicholl vs Shaheen | 1–1 | 50.00% |
| nicholl vs Anna | 0–2 | 0.00% |
| nicholl vs Zafina | 0–1 | 0.00% |
| nicholl vs Azucena | 0–1 | 0.00% |
| nicholl vs Fahkumram | 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.