| Nayeon vs King | 199–213 | 48.30% |
| Nayeon vs Jin | 200–203 | 49.63% |
| Nayeon vs Bryan | 178–187 | 48.77% |
| Nayeon vs Hwoarang | 206–156–1 | 56.91% |
| Nayeon vs Kazuya | 181–180 | 50.14% |
| Nayeon vs Steve | 167–184 | 47.58% |
| Nayeon vs Reina | 199–148 | 57.35% |
| Nayeon vs Law | 125–189 | 39.81% |
| Nayeon vs Yoshimitsu | 142–158 | 47.33% |
| Nayeon vs Lili | 147–128 | 53.45% |
| Nayeon vs Asuka | 131–119 | 52.40% |
| Nayeon vs Jun | 128–122 | 51.20% |
| Nayeon vs Paul | 113–129 | 46.69% |
| Nayeon vs Lars | 103–137 | 42.92% |
| Nayeon vs Dragunov | 113–124 | 47.68% |
| Nayeon vs Victor | 125–98 | 56.05% |
| Nayeon vs Nina | 99–113 | 46.70% |
| Nayeon vs Alisa | 107–100 | 51.69% |
| Nayeon vs Lee | 98–102 | 49.00% |
| Nayeon vs Azucena | 116–80 | 59.18% |
| Nayeon vs Devil Jin | 106–86 | 55.21% |
| Nayeon vs Raven | 84–98 | 46.15% |
| Nayeon vs Eddy | 78–95 | 45.09% |
| Nayeon vs Leo | 86–82 | 51.19% |
| Nayeon vs Xiaoyu | 82–72 | 53.25% |
| Nayeon vs Heihachi | 81–70 | 53.64% |
| Nayeon vs Feng | 69–81 | 46.00% |
| Nayeon vs Leroy | 68–73 | 48.23% |
| Nayeon vs Zafina | 68–68 | 50.00% |
| Nayeon vs Jack-8 | 60–75 | 44.44% |
| Nayeon vs Lidia | 71–58 | 55.04% |
| Nayeon vs Claudio | 44–62 | 41.51% |
| Nayeon vs Clive | 45–50 | 47.37% |
| Nayeon vs Fahkumram | 40–52 | 43.48% |
| Nayeon vs Kuma | 43–46 | 48.31% |
| Nayeon vs Armor King | 31–53 | 36.90% |
| Nayeon vs Shaheen | 30–45 | 40.00% |
| Nayeon vs Panda | 21–26 | 44.68% |
| Nayeon vs Anna | 20–26 | 43.48% |
| Nayeon vs Miary Zo | 31–15 | 67.39% |
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.