| NuSzKa vs Kazuya | 46–23 | 66.67% |
| NuSzKa vs Reina | 39–17 | 69.64% |
| NuSzKa vs Heihachi | 30–26 | 53.57% |
| NuSzKa vs Bryan | 29–20 | 59.18% |
| NuSzKa vs Jin | 35–13 | 72.92% |
| NuSzKa vs Eddy | 24–9 | 72.73% |
| NuSzKa vs King | 19–13 | 59.38% |
| NuSzKa vs Devil Jin | 18–12 | 60.00% |
| NuSzKa vs Lee | 18–9 | 66.67% |
| NuSzKa vs Law | 15–8 | 65.22% |
| NuSzKa vs Yoshimitsu | 17–6 | 73.91% |
| NuSzKa vs Hwoarang | 14–9 | 60.87% |
| NuSzKa vs Lili | 17–5 | 77.27% |
| NuSzKa vs Dragunov | 13–9 | 59.09% |
| NuSzKa vs Feng | 18–3 | 85.71% |
| NuSzKa vs Kuma | 11–7 | 61.11% |
| NuSzKa vs Paul | 11–6 | 64.71% |
| NuSzKa vs Claudio | 11–6 | 64.71% |
| NuSzKa vs Jun | 12–4 | 75.00% |
| NuSzKa vs Asuka | 13–2 | 86.67% |
| NuSzKa vs Steve | 13–1 | 92.86% |
| NuSzKa vs Raven | 8–6 | 57.14% |
| NuSzKa vs Alisa | 10–2 | 83.33% |
| NuSzKa vs Nina | 8–4 | 66.67% |
| NuSzKa vs Lars | 7–3 | 70.00% |
| NuSzKa vs Leroy | 8–1 | 88.89% |
| NuSzKa vs Leo | 2–6 | 25.00% |
| NuSzKa vs Zafina | 7–1 | 87.50% |
| NuSzKa vs Jack-8 | 6–1 | 85.71% |
| NuSzKa vs Shaheen | 3–4 | 42.86% |
| NuSzKa vs Victor | 4–3 | 57.14% |
| NuSzKa vs Xiaoyu | 4–2 | 66.67% |
| NuSzKa vs Azucena | 3–3 | 50.00% |
| NuSzKa vs Lidia | 1–4 | 20.00% |
| NuSzKa vs Fahkumram | 5–0 | 100.00% |
| NuSzKa vs Clive | 4–0 | 100.00% |
| NuSzKa vs Panda | 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.