| Noobrain vs Kazuya | 39–32 | 54.93% |
| Noobrain vs Jin | 18–27 | 40.00% |
| Noobrain vs Law | 20–19 | 51.28% |
| Noobrain vs Bryan | 15–20 | 42.86% |
| Noobrain vs Reina | 17–18 | 48.57% |
| Noobrain vs Heihachi | 14–21 | 40.00% |
| Noobrain vs Steve | 20–13 | 60.61% |
| Noobrain vs King | 15–17 | 46.88% |
| Noobrain vs Paul | 12–17 | 41.38% |
| Noobrain vs Dragunov | 18–11 | 62.07% |
| Noobrain vs Hwoarang | 19–7 | 73.08% |
| Noobrain vs Feng | 12–14 | 46.15% |
| Noobrain vs Lars | 10–10 | 50.00% |
| Noobrain vs Jun | 6–14 | 30.00% |
| Noobrain vs Lee | 7–11 | 38.89% |
| Noobrain vs Nina | 11–6 | 64.71% |
| Noobrain vs Yoshimitsu | 8–8 | 50.00% |
| Noobrain vs Devil Jin | 5–9 | 35.71% |
| Noobrain vs Claudio | 8–5 | 61.54% |
| Noobrain vs Lili | 7–4 | 63.64% |
| Noobrain vs Azucena | 4–7 | 36.36% |
| Noobrain vs Raven | 9–2 | 81.82% |
| Noobrain vs Asuka | 6–4 | 60.00% |
| Noobrain vs Alisa | 3–6 | 33.33% |
| Noobrain vs Kuma | 1–8 | 11.11% |
| Noobrain vs Jack-8 | 0–8 | 0.00% |
| Noobrain vs Leroy | 3–5 | 37.50% |
| Noobrain vs Victor | 0–7 | 0.00% |
| Noobrain vs Eddy | 5–2 | 71.43% |
| Noobrain vs Xiaoyu | 2–4 | 33.33% |
| Noobrain vs Clive | 4–2 | 66.67% |
| Noobrain vs Leo | 4–1 | 80.00% |
| Noobrain vs Shaheen | 3–2 | 60.00% |
| Noobrain vs Zafina | 2–2 | 50.00% |
| Noobrain vs Lidia | 2–0 | 100.00% |
| Noobrain vs Panda | 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.