| Noo-Noo vs Jin | 31–15 | 67.39% |
| Noo-Noo vs King | 21–14 | 60.00% |
| Noo-Noo vs Kazuya | 14–20 | 41.18% |
| Noo-Noo vs Law | 17–14 | 54.84% |
| Noo-Noo vs Bryan | 11–20 | 35.48% |
| Noo-Noo vs Reina | 15–12 | 55.56% |
| Noo-Noo vs Steve | 7–17 | 29.17% |
| Noo-Noo vs Heihachi | 5–18 | 21.74% |
| Noo-Noo vs Dragunov | 10–11 | 47.62% |
| Noo-Noo vs Lidia | 16–3 | 84.21% |
| Noo-Noo vs Hwoarang | 5–13 | 27.78% |
| Noo-Noo vs Jun | 7–11 | 38.89% |
| Noo-Noo vs Yoshimitsu | 8–9 | 47.06% |
| Noo-Noo vs Lili | 7–10 | 41.18% |
| Noo-Noo vs Fahkumram | 6–11 | 35.29% |
| Noo-Noo vs Eddy | 2–14 | 12.50% |
| Noo-Noo vs Victor | 3–9 | 25.00% |
| Noo-Noo vs Lee | 2–8 | 20.00% |
| Noo-Noo vs Clive | 8–2 | 80.00% |
| Noo-Noo vs Devil Jin | 3–6 | 33.33% |
| Noo-Noo vs Nina | 5–3 | 62.50% |
| Noo-Noo vs Raven | 4–4 | 50.00% |
| Noo-Noo vs Paul | 2–5 | 28.57% |
| Noo-Noo vs Asuka | 1–5 | 16.67% |
| Noo-Noo vs Feng | 3–3 | 50.00% |
| Noo-Noo vs Alisa | 6–0 | 100.00% |
| Noo-Noo vs Azucena | 1–4 | 20.00% |
| Noo-Noo vs Jack-8 | 0–4 | 0.00% |
| Noo-Noo vs Leo | 2–2 | 50.00% |
| Noo-Noo vs Claudio | 1–2 | 33.33% |
| Noo-Noo vs Xiaoyu | 1–1 | 50.00% |
| Noo-Noo vs Shaheen | 2–0 | 100.00% |
| Noo-Noo vs Kuma | 2–0 | 100.00% |
| Noo-Noo vs Panda | 0–2 | 0.00% |
| Noo-Noo vs Leroy | 0–2 | 0.00% |
| Noo-Noo vs Armor King | 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.