| Praised Noise vs Bryan | 12–7 | 63.16% |
| Praised Noise vs King | 11–5 | 68.75% |
| Praised Noise vs Jin | 8–5 | 61.54% |
| Praised Noise vs Heihachi | 6–5 | 54.55% |
| Praised Noise vs Paul | 9–1 | 90.00% |
| Praised Noise vs Reina | 6–4 | 60.00% |
| Praised Noise vs Law | 6–1 | 85.71% |
| Praised Noise vs Kazuya | 6–1 | 85.71% |
| Praised Noise vs Hwoarang | 4–2 | 66.67% |
| Praised Noise vs Lee | 3–3 | 50.00% |
| Praised Noise vs Yoshimitsu | 5–0 | 100.00% |
| Praised Noise vs Asuka | 5–0 | 100.00% |
| Praised Noise vs Dragunov | 3–2 | 60.00% |
| Praised Noise vs Leo | 3–2 | 60.00% |
| Praised Noise vs Claudio | 3–2 | 60.00% |
| Praised Noise vs Feng | 2–2 | 50.00% |
| Praised Noise vs Alisa | 4–0 | 100.00% |
| Praised Noise vs Zafina | 2–2 | 50.00% |
| Praised Noise vs Anna | 0–4 | 0.00% |
| Praised Noise vs Xiaoyu | 3–0 | 100.00% |
| Praised Noise vs Steve | 2–1 | 66.67% |
| Praised Noise vs Lars | 3–0 | 100.00% |
| Praised Noise vs Raven | 1–2 | 33.33% |
| Praised Noise vs Lili | 2–0 | 100.00% |
| Praised Noise vs Nina | 2–0 | 100.00% |
| Praised Noise vs Leroy | 2–0 | 100.00% |
| Praised Noise vs Jun | 2–0 | 100.00% |
| Praised Noise vs Azucena | 2–0 | 100.00% |
| Praised Noise vs Lidia | 1–1 | 50.00% |
| Praised Noise vs Miary Zo | 2–0 | 100.00% |
| Praised Noise vs Devil Jin | 1–0 | 100.00% |
| Praised Noise vs Shaheen | 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.