| Noot vs Hwoarang | 25–18 | 58.14% |
| Noot vs Jin | 29–13 | 69.05% |
| Noot vs Kazuya | 23–17 | 57.50% |
| Noot vs Armor King | 24–10 | 70.59% |
| Noot vs Yoshimitsu | 19–11 | 63.33% |
| Noot vs Bryan | 17–11 | 60.71% |
| Noot vs King | 15–11 | 57.69% |
| Noot vs Reina | 16–10 | 61.54% |
| Noot vs Heihachi | 10–14 | 41.67% |
| Noot vs Steve | 15–8 | 65.22% |
| Noot vs Eddy | 12–9 | 57.14% |
| Noot vs Law | 8–12 | 40.00% |
| Noot vs Azucena | 8–8 | 50.00% |
| Noot vs Victor | 9–7 | 56.25% |
| Noot vs Lidia | 10–6 | 62.50% |
| Noot vs Asuka | 7–8 | 46.67% |
| Noot vs Paul | 4–10 | 28.57% |
| Noot vs Lili | 8–6 | 57.14% |
| Noot vs Miary Zo | 7–7 | 50.00% |
| Noot vs Jun | 7–5 | 58.33% |
| Noot vs Fahkumram | 9–3 | 75.00% |
| Noot vs Xiaoyu | 8–2 | 80.00% |
| Noot vs Dragunov | 2–6 | 25.00% |
| Noot vs Nina | 5–3 | 62.50% |
| Noot vs Raven | 3–4 | 42.86% |
| Noot vs Clive | 4–3 | 57.14% |
| Noot vs Devil Jin | 3–3 | 50.00% |
| Noot vs Lars | 2–4 | 33.33% |
| Noot vs Lee | 4–2 | 66.67% |
| Noot vs Kuma | 3–2 | 60.00% |
| Noot vs Zafina | 5–0 | 100.00% |
| Noot vs Claudio | 1–3 | 25.00% |
| Noot vs Jack-8 | 0–3 | 0.00% |
| Noot vs Feng | 2–1 | 66.67% |
| Noot vs Alisa | 3–0 | 100.00% |
| Noot vs Panda | 2–1 | 66.67% |
| Noot vs Anna | 2–1 | 66.67% |
| Noot vs Shaheen | 2–0 | 100.00% |
| Noot vs Leroy | 2–0 | 100.00% |
| Noot vs Leo | 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.