| Noap vs Jin | 26–13 | 66.67% |
| Noap vs Kazuya | 25–13 | 65.79% |
| Noap vs Reina | 17–17 | 50.00% |
| Noap vs Bryan | 18–13 | 58.06% |
| Noap vs Dragunov | 15–14 | 51.72% |
| Noap vs Yoshimitsu | 18–8 | 69.23% |
| Noap vs Hwoarang | 13–11 | 54.17% |
| Noap vs Devil Jin | 17–7 | 70.83% |
| Noap vs Law | 10–10 | 50.00% |
| Noap vs King | 11–9 | 55.00% |
| Noap vs Lili | 11–9 | 55.00% |
| Noap vs Steve | 14–3 | 82.35% |
| Noap vs Paul | 12–3 | 80.00% |
| Noap vs Asuka | 8–7 | 53.33% |
| Noap vs Lee | 5–10 | 33.33% |
| Noap vs Azucena | 10–5 | 66.67% |
| Noap vs Jun | 9–5 | 64.29% |
| Noap vs Armor King | 6–6 | 50.00% |
| Noap vs Jack-8 | 7–4 | 63.64% |
| Noap vs Lars | 5–6 | 45.45% |
| Noap vs Alisa | 7–4 | 63.64% |
| Noap vs Raven | 5–6 | 45.45% |
| Noap vs Heihachi | 7–2 | 77.78% |
| Noap vs Xiaoyu | 4–4 | 50.00% |
| Noap vs Feng | 6–2 | 75.00% |
| Noap vs Victor | 5–3 | 62.50% |
| Noap vs Eddy | 4–4 | 50.00% |
| Noap vs Nina | 5–2 | 71.43% |
| Noap vs Anna | 5–2 | 71.43% |
| Noap vs Claudio | 3–3 | 50.00% |
| Noap vs Lidia | 2–3 | 40.00% |
| Noap vs Miary Zo | 5–0 | 100.00% |
| Noap vs Kuma | 3–1 | 75.00% |
| Noap vs Leroy | 3–1 | 75.00% |
| Noap vs Zafina | 2–1 | 66.67% |
| Noap vs Leo | 1–1 | 50.00% |
| Noap vs Shaheen | 2–0 | 100.00% |
| Noap vs Panda | 2–0 | 100.00% |
| Noap vs Clive | 2–0 | 100.00% |
| Noap vs Fahkumram | 1–0 | 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.