| Noobie vs Bryan | 30–28 | 51.72% |
| Noobie vs Clive | 24–16 | 60.00% |
| Noobie vs Kazuya | 14–21 | 40.00% |
| Noobie vs Heihachi | 15–16 | 48.39% |
| Noobie vs Steve | 18–12 | 60.00% |
| Noobie vs Reina | 18–12 | 60.00% |
| Noobie vs Jin | 18–11 | 62.07% |
| Noobie vs King | 12–12 | 50.00% |
| Noobie vs Yoshimitsu | 15–9 | 62.50% |
| Noobie vs Paul | 7–16 | 30.43% |
| Noobie vs Law | 10–12 | 45.45% |
| Noobie vs Devil Jin | 12–10 | 54.55% |
| Noobie vs Lee | 9–13 | 40.91% |
| Noobie vs Lili | 10–10 | 50.00% |
| Noobie vs Hwoarang | 8–11 | 42.11% |
| Noobie vs Jun | 13–6 | 68.42% |
| Noobie vs Dragunov | 5–10 | 33.33% |
| Noobie vs Asuka | 8–5 | 61.54% |
| Noobie vs Leo | 7–6 | 53.85% |
| Noobie vs Lidia | 9–4 | 69.23% |
| Noobie vs Feng | 7–5 | 58.33% |
| Noobie vs Azucena | 8–3 | 72.73% |
| Noobie vs Eddy | 5–6 | 45.45% |
| Noobie vs Victor | 6–4 | 60.00% |
| Noobie vs Jack-8 | 2–7 | 22.22% |
| Noobie vs Xiaoyu | 7–0 | 100.00% |
| Noobie vs Lars | 3–4 | 42.86% |
| Noobie vs Claudio | 5–2 | 71.43% |
| Noobie vs Nina | 3–3 | 50.00% |
| Noobie vs Zafina | 2–4 | 33.33% |
| Noobie vs Alisa | 3–2 | 60.00% |
| Noobie vs Kuma | 1–2 | 33.33% |
| Noobie vs Shaheen | 1–1 | 50.00% |
| Noobie vs Panda | 1–1 | 50.00% |
| Noobie vs Leroy | 2–0 | 100.00% |
| Noobie vs Raven | 0–2 | 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.