| Narvo vs King | 31–39 | 44.29% |
| Narvo vs Jin | 26–27 | 49.06% |
| Narvo vs Reina | 25–20 | 55.56% |
| Narvo vs Kazuya | 13–31 | 29.55% |
| Narvo vs Steve | 21–16 | 56.76% |
| Narvo vs Hwoarang | 19–17 | 52.78% |
| Narvo vs Dragunov | 16–13 | 55.17% |
| Narvo vs Heihachi | 11–18 | 37.93% |
| Narvo vs Bryan | 15–12 | 55.56% |
| Narvo vs Azucena | 10–16 | 38.46% |
| Narvo vs Yoshimitsu | 12–12 | 50.00% |
| Narvo vs Devil Jin | 12–12 | 50.00% |
| Narvo vs Eddy | 9–15 | 37.50% |
| Narvo vs Paul | 9–11 | 45.00% |
| Narvo vs Nina | 5–14 | 26.32% |
| Narvo vs Jun | 8–9 | 47.06% |
| Narvo vs Lidia | 5–12 | 29.41% |
| Narvo vs Feng | 5–11 | 31.25% |
| Narvo vs Lili | 8–8 | 50.00% |
| Narvo vs Lee | 7–8 | 46.67% |
| Narvo vs Asuka | 7–7 | 50.00% |
| Narvo vs Victor | 5–9 | 35.71% |
| Narvo vs Fahkumram | 8–5 | 61.54% |
| Narvo vs Lars | 4–7 | 36.36% |
| Narvo vs Alisa | 6–5 | 54.55% |
| Narvo vs Xiaoyu | 4–6 | 40.00% |
| Narvo vs Jack-8 | 3–6 | 33.33% |
| Narvo vs Leroy | 7–2 | 77.78% |
| Narvo vs Shaheen | 1–6 | 14.29% |
| Narvo vs Zafina | 1–6 | 14.29% |
| Narvo vs Raven | 3–3 | 50.00% |
| Narvo vs Leo | 3–2 | 60.00% |
| Narvo vs Kuma | 1–4 | 20.00% |
| Narvo vs Law | 3–1 | 75.00% |
| Narvo vs Claudio | 0–4 | 0.00% |
| Narvo vs Panda | 2–2 | 50.00% |
| Narvo vs Clive | 3–0 | 100.00% |
| Narvo vs Anna | 0–1 | 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.