| Nessqk vs King | 32–53 | 37.65% |
| Nessqk vs Jin | 28–15 | 65.12% |
| Nessqk vs Kazuya | 18–24 | 42.86% |
| Nessqk vs Law | 18–20 | 47.37% |
| Nessqk vs Bryan | 14–24 | 36.84% |
| Nessqk vs Steve | 15–20 | 42.86% |
| Nessqk vs Dragunov | 14–21 | 40.00% |
| Nessqk vs Heihachi | 16–17 | 48.48% |
| Nessqk vs Hwoarang | 16–13 | 55.17% |
| Nessqk vs Fahkumram | 16–12 | 57.14% |
| Nessqk vs Reina | 10–17 | 37.04% |
| Nessqk vs Asuka | 4–20 | 16.67% |
| Nessqk vs Eddy | 9–13 | 40.91% |
| Nessqk vs Xiaoyu | 6–11 | 35.29% |
| Nessqk vs Leo | 9–8 | 52.94% |
| Nessqk vs Jack-8 | 4–12 | 25.00% |
| Nessqk vs Yoshimitsu | 2–12 | 14.29% |
| Nessqk vs Lars | 5–9 | 35.71% |
| Nessqk vs Nina | 6–7 | 46.15% |
| Nessqk vs Azucena | 5–8 | 38.46% |
| Nessqk vs Lidia | 5–8 | 38.46% |
| Nessqk vs Alisa | 7–5 | 58.33% |
| Nessqk vs Claudio | 7–5 | 58.33% |
| Nessqk vs Jun | 4–8 | 33.33% |
| Nessqk vs Paul | 6–5 | 54.55% |
| Nessqk vs Devil Jin | 3–8 | 27.27% |
| Nessqk vs Anna | 6–5 | 54.55% |
| Nessqk vs Feng | 2–8 | 20.00% |
| Nessqk vs Lili | 0–10 | 0.00% |
| Nessqk vs Victor | 3–6 | 33.33% |
| Nessqk vs Raven | 0–9 | 0.00% |
| Nessqk vs Armor King | 5–4 | 55.56% |
| Nessqk vs Lee | 0–8 | 0.00% |
| Nessqk vs Leroy | 3–5 | 37.50% |
| Nessqk vs Panda | 2–4 | 33.33% |
| Nessqk vs Clive | 1–2 | 33.33% |
| Nessqk vs Kuma | 0–2 | 0.00% |
| Nessqk vs Zafina | 2–0 | 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.