| Naytik_31 vs King | 114–102 | 52.78% |
| Naytik_31 vs Law | 52–66 | 44.07% |
| Naytik_31 vs Armor King | 42–70 | 37.50% |
| Naytik_31 vs Jin | 43–63 | 40.57% |
| Naytik_31 vs Paul | 52–37 | 58.43% |
| Naytik_31 vs Steve | 41–43 | 48.81% |
| Naytik_31 vs Heihachi | 29–42 | 40.85% |
| Naytik_31 vs Kazuya | 25–44 | 36.23% |
| Naytik_31 vs Dragunov | 28–39 | 41.79% |
| Naytik_31 vs Yoshimitsu | 32–25 | 56.14% |
| Naytik_31 vs Bryan | 15–40 | 27.27% |
| Naytik_31 vs Nina | 23–23 | 50.00% |
| Naytik_31 vs Devil Jin | 22–23 | 48.89% |
| Naytik_31 vs Hwoarang | 19–24 | 44.19% |
| Naytik_31 vs Eddy | 20–22 | 47.62% |
| Naytik_31 vs Victor | 21–17 | 55.26% |
| Naytik_31 vs Lars | 13–20 | 39.39% |
| Naytik_31 vs Jack-8 | 16–13 | 55.17% |
| Naytik_31 vs Miary Zo | 9–20 | 31.03% |
| Naytik_31 vs Asuka | 11–14 | 44.00% |
| Naytik_31 vs Feng | 9–15 | 37.50% |
| Naytik_31 vs Fahkumram | 10–14 | 41.67% |
| Naytik_31 vs Jun | 9–14 | 39.13% |
| Naytik_31 vs Azucena | 12–11 | 52.17% |
| Naytik_31 vs Alisa | 9–13 | 40.91% |
| Naytik_31 vs Clive | 12–10 | 54.55% |
| Naytik_31 vs Lili | 16–5 | 76.19% |
| Naytik_31 vs Reina | 14–6 | 70.00% |
| Naytik_31 vs Anna | 9–9 | 50.00% |
| Naytik_31 vs Lee | 3–14 | 17.65% |
| Naytik_31 vs Kuma | 6–11 | 35.29% |
| Naytik_31 vs Lidia | 10–7 | 58.82% |
| Naytik_31 vs Shaheen | 9–4 | 69.23% |
| Naytik_31 vs Raven | 6–6 | 50.00% |
| Naytik_31 vs Xiaoyu | 6–4 | 60.00% |
| Naytik_31 vs Leo | 3–6 | 33.33% |
| Naytik_31 vs Claudio | 6–1 | 85.71% |
| Naytik_31 vs Leroy | 5–2 | 71.43% |
| Naytik_31 vs Panda | 1–5 | 16.67% |
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.