| Nayuu vs Jin | 25–26 | 49.02% |
| Nayuu vs Kazuya | 22–18 | 55.00% |
| Nayuu vs Dragunov | 13–23 | 36.11% |
| Nayuu vs King | 13–22 | 37.14% |
| Nayuu vs Hwoarang | 12–20 | 37.50% |
| Nayuu vs Bryan | 13–15 | 46.43% |
| Nayuu vs Steve | 17–11 | 60.71% |
| Nayuu vs Asuka | 14–13 | 51.85% |
| Nayuu vs Reina | 12–13 | 48.00% |
| Nayuu vs Paul | 12–10 | 54.55% |
| Nayuu vs Law | 8–13 | 38.10% |
| Nayuu vs Victor | 12–8 | 60.00% |
| Nayuu vs Lili | 8–11 | 42.11% |
| Nayuu vs Yoshimitsu | 6–10 | 37.50% |
| Nayuu vs Lee | 6–10 | 37.50% |
| Nayuu vs Miary Zo | 6–10 | 37.50% |
| Nayuu vs Devil Jin | 5–8 | 38.46% |
| Nayuu vs Lars | 6–7 | 46.15% |
| Nayuu vs Heihachi | 5–8 | 38.46% |
| Nayuu vs Lidia | 4–8 | 33.33% |
| Nayuu vs Alisa | 4–7 | 36.36% |
| Nayuu vs Jack-8 | 6–4 | 60.00% |
| Nayuu vs Armor King | 9–1 | 90.00% |
| Nayuu vs Azucena | 5–3 | 62.50% |
| Nayuu vs Clive | 2–6 | 25.00% |
| Nayuu vs Claudio | 4–3 | 57.14% |
| Nayuu vs Leroy | 4–3 | 57.14% |
| Nayuu vs Jun | 3–4 | 42.86% |
| Nayuu vs Xiaoyu | 3–3 | 50.00% |
| Nayuu vs Feng | 1–4 | 20.00% |
| Nayuu vs Shaheen | 2–3 | 40.00% |
| Nayuu vs Nina | 1–4 | 20.00% |
| Nayuu vs Raven | 2–2 | 50.00% |
| Nayuu vs Eddy | 2–1 | 66.67% |
| Nayuu vs Anna | 1–2 | 33.33% |
| Nayuu vs Leo | 2–0 | 100.00% |
| Nayuu vs Zafina | 0–2 | 0.00% |
| Nayuu 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.