| Noktriss vs Kazuya | 38–31 | 55.07% |
| Noktriss vs King | 22–33 | 40.00% |
| Noktriss vs Jin | 20–31 | 39.22% |
| Noktriss vs Hwoarang | 23–21 | 52.27% |
| Noktriss vs Law | 23–19 | 54.76% |
| Noktriss vs Reina | 20–18 | 52.63% |
| Noktriss vs Bryan | 16–20 | 44.44% |
| Noktriss vs Asuka | 16–18 | 47.06% |
| Noktriss vs Lili | 12–19–1 | 38.71% |
| Noktriss vs Jun | 12–20 | 37.50% |
| Noktriss vs Eddy | 10–17 | 37.04% |
| Noktriss vs Paul | 10–13 | 43.48% |
| Noktriss vs Dragunov | 16–7 | 69.57% |
| Noktriss vs Leo | 9–14 | 39.13% |
| Noktriss vs Yoshimitsu | 13–9 | 59.09% |
| Noktriss vs Steve | 9–9 | 50.00% |
| Noktriss vs Lars | 10–8 | 55.56% |
| Noktriss vs Feng | 10–6 | 62.50% |
| Noktriss vs Alisa | 10–6 | 62.50% |
| Noktriss vs Lee | 9–7 | 56.25% |
| Noktriss vs Nina | 9–6 | 60.00% |
| Noktriss vs Raven | 5–10 | 33.33% |
| Noktriss vs Victor | 6–7 | 46.15% |
| Noktriss vs Xiaoyu | 3–9 | 25.00% |
| Noktriss vs Kuma | 7–5 | 58.33% |
| Noktriss vs Leroy | 6–6 | 50.00% |
| Noktriss vs Jack-8 | 8–3 | 72.73% |
| Noktriss vs Devil Jin | 6–4 | 60.00% |
| Noktriss vs Azucena | 2–8 | 20.00% |
| Noktriss vs Zafina | 3–5 | 37.50% |
| Noktriss vs Armor King | 0–8 | 0.00% |
| Noktriss vs Shaheen | 1–3 | 25.00% |
| Noktriss vs Panda | 1–3 | 25.00% |
| Noktriss vs Claudio | 1–2 | 33.33% |
| Noktriss vs Anna | 0–2 | 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.