| Nickgawolf vs Bryan | 15–3 | 83.33% |
| Nickgawolf vs Lars | 9–7 | 56.25% |
| Nickgawolf vs Armor King | 6–9 | 40.00% |
| Nickgawolf vs Jin | 6–5 | 54.55% |
| Nickgawolf vs Kazuya | 9–2 | 81.82% |
| Nickgawolf vs Reina | 8–3 | 72.73% |
| Nickgawolf vs Eddy | 5–5 | 50.00% |
| Nickgawolf vs Dragunov | 6–3 | 66.67% |
| Nickgawolf vs Lidia | 6–3 | 66.67% |
| Nickgawolf vs Heihachi | 3–6 | 33.33% |
| Nickgawolf vs King | 6–2 | 75.00% |
| Nickgawolf vs Jack-8 | 3–5 | 37.50% |
| Nickgawolf vs Asuka | 5–3 | 62.50% |
| Nickgawolf vs Xiaoyu | 6–0 | 100.00% |
| Nickgawolf vs Lili | 2–4 | 33.33% |
| Nickgawolf vs Jun | 2–4 | 33.33% |
| Nickgawolf vs Law | 2–3 | 40.00% |
| Nickgawolf vs Lee | 4–1 | 80.00% |
| Nickgawolf vs Miary Zo | 3–2 | 60.00% |
| Nickgawolf vs Steve | 2–1 | 66.67% |
| Nickgawolf vs Alisa | 3–0 | 100.00% |
| Nickgawolf vs Shaheen | 1–2 | 33.33% |
| Nickgawolf vs Nina | 1–2 | 33.33% |
| Nickgawolf vs Leroy | 2–1 | 66.67% |
| Nickgawolf vs Fahkumram | 2–1 | 66.67% |
| Nickgawolf vs Paul | 0–2 | 0.00% |
| Nickgawolf vs Hwoarang | 0–2 | 0.00% |
| Nickgawolf vs Claudio | 0–2 | 0.00% |
| Nickgawolf vs Kuma | 2–0 | 100.00% |
| Nickgawolf vs Victor | 0–2 | 0.00% |
| Nickgawolf vs Devil Jin | 1–0 | 100.00% |
| Nickgawolf vs Feng | 1–0 | 100.00% |
| Nickgawolf vs Clive | 0–1 | 0.00% |
| Nickgawolf vs Anna | 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.