| Naxbord vs Kazuya | 171–230 | 42.64% |
| Naxbord vs King | 159–211 | 42.97% |
| Naxbord vs Jin | 174–192 | 47.54% |
| Naxbord vs Bryan | 160–175 | 47.76% |
| Naxbord vs Heihachi | 146–165 | 46.95% |
| Naxbord vs Reina | 101–180 | 35.94% |
| Naxbord vs Law | 98–150 | 39.52% |
| Naxbord vs Lili | 118–116 | 50.43% |
| Naxbord vs Steve | 99–123 | 44.59% |
| Naxbord vs Armor King | 85–126 | 40.28% |
| Naxbord vs Dragunov | 81–112 | 41.97% |
| Naxbord vs Xiaoyu | 84–97 | 46.41% |
| Naxbord vs Asuka | 84–90 | 48.28% |
| Naxbord vs Hwoarang | 78–85–1 | 47.85% |
| Naxbord vs Lidia | 86–73 | 54.09% |
| Naxbord vs Paul | 64–91 | 41.29% |
| Naxbord vs Azucena | 61–85 | 41.78% |
| Naxbord vs Jun | 67–75 | 47.18% |
| Naxbord vs Lee | 50–88 | 36.23% |
| Naxbord vs Nina | 66–69 | 48.89% |
| Naxbord vs Eddy | 61–71 | 46.21% |
| Naxbord vs Zafina | 85–46 | 64.89% |
| Naxbord vs Yoshimitsu | 60–67 | 47.24% |
| Naxbord vs Fahkumram | 39–74 | 34.51% |
| Naxbord vs Alisa | 57–52 | 52.29% |
| Naxbord vs Devil Jin | 36–63 | 36.36% |
| Naxbord vs Anna | 39–60 | 39.39% |
| Naxbord vs Victor | 43–53 | 44.79% |
| Naxbord vs Lars | 38–56 | 40.43% |
| Naxbord vs Feng | 33–60 | 35.48% |
| Naxbord vs Leroy | 23–56 | 29.11% |
| Naxbord vs Clive | 31–42 | 42.47% |
| Naxbord vs Kuma | 23–44 | 34.33% |
| Naxbord vs Leo | 27–34 | 44.26% |
| Naxbord vs Claudio | 17–33 | 34.00% |
| Naxbord vs Jack-8 | 20–27 | 42.55% |
| Naxbord vs Raven | 19–22 | 46.34% |
| Naxbord vs Miary Zo | 14–20 | 41.18% |
| Naxbord vs Shaheen | 10–18 | 35.71% |
| Naxbord vs Panda | 4–14 | 22.22% |
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.