| Naos vs King | 98–78 | 55.68% |
| Naos vs Reina | 69–52 | 57.02% |
| Naos vs Steve | 50–69 | 42.02% |
| Naos vs Kazuya | 64–45 | 58.72% |
| Naos vs Yoshimitsu | 63–42 | 60.00% |
| Naos vs Jin | 45–60 | 42.86% |
| Naos vs Eddy | 70–26 | 72.92% |
| Naos vs Law | 28–64 | 30.43% |
| Naos vs Hwoarang | 43–46 | 48.31% |
| Naos vs Dragunov | 42–40 | 51.22% |
| Naos vs Lili | 43–32 | 57.33% |
| Naos vs Jun | 47–28 | 62.67% |
| Naos vs Bryan | 39–35 | 52.70% |
| Naos vs Paul | 32–40 | 44.44% |
| Naos vs Victor | 35–35 | 50.00% |
| Naos vs Asuka | 41–27 | 60.29% |
| Naos vs Azucena | 39–28 | 58.21% |
| Naos vs Lee | 42–19 | 68.85% |
| Naos vs Feng | 25–31 | 44.64% |
| Naos vs Leo | 20–31 | 39.22% |
| Naos vs Devil Jin | 26–22–1 | 54.17% |
| Naos vs Xiaoyu | 24–24 | 50.00% |
| Naos vs Raven | 19–29 | 39.58% |
| Naos vs Heihachi | 24–23 | 51.06% |
| Naos vs Lidia | 21–25 | 45.65% |
| Naos vs Lars | 26–18 | 59.09% |
| Naos vs Nina | 23–20 | 53.49% |
| Naos vs Alisa | 25–16 | 60.98% |
| Naos vs Jack-8 | 20–20 | 50.00% |
| Naos vs Leroy | 22–15 | 59.46% |
| Naos vs Claudio | 14–11 | 56.00% |
| Naos vs Kuma | 13–9 | 59.09% |
| Naos vs Zafina | 5–17 | 22.73% |
| Naos vs Shaheen | 6–9 | 40.00% |
| Naos vs Panda | 7–6 | 53.85% |
| Naos vs Clive | 3–5 | 37.50% |
| Naos vs Armor King | 3–3 | 50.00% |
| Naos vs Anna | 2–3 | 40.00% |
| Naos vs Fahkumram | 2–3 | 40.00% |
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.