| Narly vs Bryan | 57–89 | 39.04% |
| Narly vs Kazuya | 67–79 | 45.89% |
| Narly vs King | 56–77 | 42.11% |
| Narly vs Jin | 58–64 | 47.54% |
| Narly vs Armor King | 47–73 | 39.17% |
| Narly vs Steve | 52–56 | 48.15% |
| Narly vs Hwoarang | 35–43 | 44.87% |
| Narly vs Dragunov | 32–46 | 41.03% |
| Narly vs Law | 25–41 | 37.88% |
| Narly vs Yoshimitsu | 29–36 | 44.62% |
| Narly vs Reina | 29–34 | 46.03% |
| Narly vs Lee | 30–28 | 51.72% |
| Narly vs Paul | 23–34 | 40.35% |
| Narly vs Lili | 22–32 | 40.74% |
| Narly vs Asuka | 21–26 | 44.68% |
| Narly vs Eddy | 18–25 | 41.86% |
| Narly vs Heihachi | 20–17 | 54.05% |
| Narly vs Lars | 12–23 | 34.29% |
| Narly vs Victor | 10–20 | 33.33% |
| Narly vs Nina | 13–15 | 46.43% |
| Narly vs Xiaoyu | 15–12 | 55.56% |
| Narly vs Alisa | 10–17 | 37.04% |
| Narly vs Devil Jin | 13–13 | 50.00% |
| Narly vs Jun | 12–13 | 48.00% |
| Narly vs Leo | 14–9 | 60.87% |
| Narly vs Fahkumram | 11–11 | 50.00% |
| Narly vs Raven | 5–16 | 23.81% |
| Narly vs Jack-8 | 12–8 | 60.00% |
| Narly vs Feng | 12–8 | 60.00% |
| Narly vs Azucena | 10–10 | 50.00% |
| Narly vs Kuma | 7–11 | 38.89% |
| Narly vs Leroy | 6–8 | 42.86% |
| Narly vs Claudio | 5–7 | 41.67% |
| Narly vs Shaheen | 6–3 | 66.67% |
| Narly vs Clive | 2–4 | 33.33% |
| Narly vs Panda | 2–3 | 40.00% |
| Narly vs Anna | 3–0 | 100.00% |
| Narly vs Lidia | 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.