| Nyko vs Bryan | 22–27 | 44.90% |
| Nyko vs Heihachi | 32–16 | 66.67% |
| Nyko vs King | 24–18 | 57.14% |
| Nyko vs Kazuya | 28–14 | 66.67% |
| Nyko vs Steve | 27–13 | 67.50% |
| Nyko vs Reina | 22–16 | 57.89% |
| Nyko vs Paul | 20–12 | 62.50% |
| Nyko vs Fahkumram | 23–7 | 76.67% |
| Nyko vs Law | 13–13 | 50.00% |
| Nyko vs Jin | 17–9 | 65.38% |
| Nyko vs Asuka | 18–8 | 69.23% |
| Nyko vs Lars | 15–11 | 57.69% |
| Nyko vs Jack-8 | 12–11 | 52.17% |
| Nyko vs Lee | 13–9 | 59.09% |
| Nyko vs Hwoarang | 10–11 | 47.62% |
| Nyko vs Dragunov | 13–8 | 61.90% |
| Nyko vs Leo | 11–8 | 57.89% |
| Nyko vs Nina | 11–8 | 57.89% |
| Nyko vs Yoshimitsu | 9–8 | 52.94% |
| Nyko vs Feng | 9–8 | 52.94% |
| Nyko vs Armor King | 10–6 | 62.50% |
| Nyko vs Lili | 13–2 | 86.67% |
| Nyko vs Shaheen | 10–5 | 66.67% |
| Nyko vs Claudio | 11–3 | 78.57% |
| Nyko vs Devil Jin | 10–2 | 83.33% |
| Nyko vs Leroy | 8–4 | 66.67% |
| Nyko vs Anna | 4–8 | 33.33% |
| Nyko vs Raven | 6–5 | 54.55% |
| Nyko vs Jun | 6–4 | 60.00% |
| Nyko vs Victor | 7–3 | 70.00% |
| Nyko vs Xiaoyu | 5–4 | 55.56% |
| Nyko vs Eddy | 6–1 | 85.71% |
| Nyko vs Lidia | 4–3 | 57.14% |
| Nyko vs Kuma | 4–2 | 66.67% |
| Nyko vs Zafina | 4–2 | 66.67% |
| Nyko vs Alisa | 4–1 | 80.00% |
| Nyko vs Azucena | 2–3 | 40.00% |
| Nyko vs Panda | 2–1 | 66.67% |
| Nyko vs Clive | 1–1 | 50.00% |
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.