| TheNoodle vs Jin | 25–20 | 55.56% |
| TheNoodle vs Law | 24–17 | 58.54% |
| TheNoodle vs Kazuya | 16–13 | 55.17% |
| TheNoodle vs Bryan | 15–8 | 65.22% |
| TheNoodle vs Eddy | 12–10 | 54.55% |
| TheNoodle vs Lili | 14–7 | 66.67% |
| TheNoodle vs Yoshimitsu | 14–6 | 70.00% |
| TheNoodle vs Victor | 14–5 | 73.68% |
| TheNoodle vs Hwoarang | 7–10 | 41.18% |
| TheNoodle vs Clive | 10–7 | 58.82% |
| TheNoodle vs Dragunov | 9–7 | 56.25% |
| TheNoodle vs Reina | 10–5 | 66.67% |
| TheNoodle vs Azucena | 6–9 | 40.00% |
| TheNoodle vs Paul | 4–10 | 28.57% |
| TheNoodle vs Steve | 8–6 | 57.14% |
| TheNoodle vs King | 5–7 | 41.67% |
| TheNoodle vs Lee | 5–6 | 45.45% |
| TheNoodle vs Jun | 5–4 | 55.56% |
| TheNoodle vs Devil Jin | 4–4 | 50.00% |
| TheNoodle vs Feng | 2–4 | 33.33% |
| TheNoodle vs Leo | 4–2 | 66.67% |
| TheNoodle vs Panda | 6–0 | 100.00% |
| TheNoodle vs Heihachi | 5–1 | 83.33% |
| TheNoodle vs Xiaoyu | 3–2 | 60.00% |
| TheNoodle vs Jack-8 | 2–3 | 40.00% |
| TheNoodle vs Asuka | 1–4 | 20.00% |
| TheNoodle vs Alisa | 4–1 | 80.00% |
| TheNoodle vs Lidia | 3–2 | 60.00% |
| TheNoodle vs Anna | 2–2 | 50.00% |
| TheNoodle vs Lars | 1–2 | 33.33% |
| TheNoodle vs Shaheen | 2–1 | 66.67% |
| TheNoodle vs Nina | 2–0 | 100.00% |
| TheNoodle vs Kuma | 1–1 | 50.00% |
| TheNoodle vs Leroy | 2–0 | 100.00% |
| TheNoodle vs Raven | 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.