| Noodlz vs King | 25–39 | 39.06% |
| Noodlz vs Steve | 27–26 | 50.94% |
| Noodlz vs Kazuya | 25–24 | 51.02% |
| Noodlz vs Bryan | 17–29 | 36.96% |
| Noodlz vs Jin | 27–17 | 61.36% |
| Noodlz vs Reina | 18–23 | 43.90% |
| Noodlz vs Eddy | 14–24 | 36.84% |
| Noodlz vs Hwoarang | 15–19 | 44.12% |
| Noodlz vs Law | 17–13 | 56.67% |
| Noodlz vs Lee | 13–16 | 44.83% |
| Noodlz vs Dragunov | 12–15 | 44.44% |
| Noodlz vs Lili | 11–13 | 45.83% |
| Noodlz vs Azucena | 9–15 | 37.50% |
| Noodlz vs Feng | 8–15 | 34.78% |
| Noodlz vs Jun | 11–10 | 52.38% |
| Noodlz vs Yoshimitsu | 7–13 | 35.00% |
| Noodlz vs Alisa | 5–13 | 27.78% |
| Noodlz vs Paul | 3–13 | 18.75% |
| Noodlz vs Xiaoyu | 4–12 | 25.00% |
| Noodlz vs Lars | 4–9 | 30.77% |
| Noodlz vs Victor | 4–9 | 30.77% |
| Noodlz vs Leo | 4–8 | 33.33% |
| Noodlz vs Heihachi | 7–5 | 58.33% |
| Noodlz vs Raven | 3–8 | 27.27% |
| Noodlz vs Lidia | 3–7 | 30.00% |
| Noodlz vs Anna | 7–3 | 70.00% |
| Noodlz vs Jack-8 | 1–8 | 11.11% |
| Noodlz vs Fahkumram | 7–2 | 77.78% |
| Noodlz vs Claudio | 3–4 | 42.86% |
| Noodlz vs Kuma | 2–5 | 28.57% |
| Noodlz vs Leroy | 5–2 | 71.43% |
| Noodlz vs Asuka | 3–3 | 50.00% |
| Noodlz vs Nina | 4–2 | 66.67% |
| Noodlz vs Clive | 4–1 | 80.00% |
| Noodlz vs Devil Jin | 2–2 | 50.00% |
| Noodlz vs Shaheen | 2–1 | 66.67% |
| Noodlz vs Panda | 1–2 | 33.33% |
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.