| Nicorvsk vs Reina | 25–17 | 59.52% |
| Nicorvsk vs King | 14–17 | 45.16% |
| Nicorvsk vs Jin | 13–17 | 43.33% |
| Nicorvsk vs Kazuya | 17–12 | 58.62% |
| Nicorvsk vs Bryan | 7–15 | 31.82% |
| Nicorvsk vs Steve | 14–8 | 63.64% |
| Nicorvsk vs Law | 12–9 | 57.14% |
| Nicorvsk vs Dragunov | 11–8 | 57.89% |
| Nicorvsk vs Azucena | 8–10 | 44.44% |
| Nicorvsk vs Hwoarang | 11–6 | 64.71% |
| Nicorvsk vs Eddy | 11–5 | 68.75% |
| Nicorvsk vs Asuka | 7–7 | 50.00% |
| Nicorvsk vs Jack-8 | 3–9 | 25.00% |
| Nicorvsk vs Lili | 8–4 | 66.67% |
| Nicorvsk vs Heihachi | 3–8 | 27.27% |
| Nicorvsk vs Panda | 3–7 | 30.00% |
| Nicorvsk vs Armor King | 5–4 | 55.56% |
| Nicorvsk vs Paul | 4–4 | 50.00% |
| Nicorvsk vs Nina | 5–3 | 62.50% |
| Nicorvsk vs Victor | 4–3 | 57.14% |
| Nicorvsk vs Leo | 2–4 | 33.33% |
| Nicorvsk vs Lee | 2–4 | 33.33% |
| Nicorvsk vs Miary Zo | 4–2 | 66.67% |
| Nicorvsk vs Lars | 4–1 | 80.00% |
| Nicorvsk vs Claudio | 3–2 | 60.00% |
| Nicorvsk vs Lidia | 2–3 | 40.00% |
| Nicorvsk vs Yoshimitsu | 1–3 | 25.00% |
| Nicorvsk vs Xiaoyu | 3–1 | 75.00% |
| Nicorvsk vs Devil Jin | 3–1 | 75.00% |
| Nicorvsk vs Kuma | 2–2 | 50.00% |
| Nicorvsk vs Zafina | 2–2 | 50.00% |
| Nicorvsk vs Jun | 0–3 | 0.00% |
| Nicorvsk vs Feng | 2–0 | 100.00% |
| Nicorvsk vs Leroy | 0–2 | 0.00% |
| Nicorvsk vs Clive | 0–1 | 0.00% |
| Nicorvsk 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.