| Nava vs King | 37–42 | 46.84% |
| Nava vs Bryan | 30–30 | 50.00% |
| Nava vs Jin | 31–23 | 57.41% |
| Nava vs Steve | 11–34 | 24.44% |
| Nava vs Law | 20–24 | 45.45% |
| Nava vs Kazuya | 23–21 | 52.27% |
| Nava vs Dragunov | 22–16 | 57.89% |
| Nava vs Asuka | 17–20 | 45.95% |
| Nava vs Paul | 23–13 | 63.89% |
| Nava vs Reina | 12–21 | 36.36% |
| Nava vs Victor | 10–18 | 35.71% |
| Nava vs Eddy | 13–14 | 48.15% |
| Nava vs Heihachi | 9–18 | 33.33% |
| Nava vs Hwoarang | 14–12 | 53.85% |
| Nava vs Clive | 13–13 | 50.00% |
| Nava vs Yoshimitsu | 12–13 | 48.00% |
| Nava vs Nina | 12–13 | 48.00% |
| Nava vs Lili | 16–8 | 66.67% |
| Nava vs Jun | 10–14 | 41.67% |
| Nava vs Lee | 12–9 | 57.14% |
| Nava vs Devil Jin | 10–10 | 50.00% |
| Nava vs Anna | 11–9 | 55.00% |
| Nava vs Azucena | 7–12 | 36.84% |
| Nava vs Leo | 7–10 | 41.18% |
| Nava vs Lars | 7–10 | 41.18% |
| Nava vs Raven | 11–6 | 64.71% |
| Nava vs Xiaoyu | 10–4 | 71.43% |
| Nava vs Jack-8 | 10–4 | 71.43% |
| Nava vs Alisa | 7–6 | 53.85% |
| Nava vs Leroy | 7–6 | 53.85% |
| Nava vs Lidia | 4–8 | 33.33% |
| Nava vs Claudio | 7–4 | 63.64% |
| Nava vs Kuma | 3–4 | 42.86% |
| Nava vs Feng | 0–6 | 0.00% |
| Nava vs Panda | 1–3 | 25.00% |
| Nava vs Fahkumram | 3–0 | 100.00% |
| Nava vs Miary Zo | 0–3 | 0.00% |
| Nava vs Shaheen | 0–2 | 0.00% |
| Nava vs Armor King | 0–2 | 0.00% |
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.