| Nailey vs Kazuya | 97–102 | 48.74% |
| Nailey vs Jin | 79–74 | 51.63% |
| Nailey vs King | 57–67 | 45.97% |
| Nailey vs Reina | 59–55 | 51.75% |
| Nailey vs Bryan | 55–52 | 51.40% |
| Nailey vs Hwoarang | 42–60 | 41.18% |
| Nailey vs Dragunov | 49–49 | 50.00% |
| Nailey vs Paul | 43–43 | 50.00% |
| Nailey vs Yoshimitsu | 31–48 | 39.24% |
| Nailey vs Asuka | 40–34 | 54.05% |
| Nailey vs Devil Jin | 37–35 | 51.39% |
| Nailey vs Azucena | 42–29 | 59.15% |
| Nailey vs Jun | 36–34 | 51.43% |
| Nailey vs Lili | 30–34 | 46.88% |
| Nailey vs Law | 34–29 | 53.97% |
| Nailey vs Feng | 32–24 | 57.14% |
| Nailey vs Nina | 24–29 | 45.28% |
| Nailey vs Lee | 21–31 | 40.38% |
| Nailey vs Steve | 28–19 | 59.57% |
| Nailey vs Leroy | 19–23 | 45.24% |
| Nailey vs Lars | 17–23 | 42.50% |
| Nailey vs Leo | 19–16 | 54.29% |
| Nailey vs Kuma | 14–21 | 40.00% |
| Nailey vs Xiaoyu | 10–22 | 31.25% |
| Nailey vs Alisa | 13–16 | 44.83% |
| Nailey vs Victor | 13–13 | 50.00% |
| Nailey vs Jack-8 | 8–14 | 36.36% |
| Nailey vs Raven | 13–7 | 65.00% |
| Nailey vs Eddy | 10–10 | 50.00% |
| Nailey vs Claudio | 9–8 | 52.94% |
| Nailey vs Zafina | 6–10 | 37.50% |
| Nailey vs Clive | 6–7 | 46.15% |
| Nailey vs Panda | 5–6 | 45.45% |
| Nailey vs Shaheen | 7–0 | 100.00% |
| Nailey vs Lidia | 1–3 | 25.00% |
| Nailey vs Heihachi | 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.