| Noisy vs Kazuya | 20–33 | 37.74% |
| Noisy vs Steve | 29–21 | 58.00% |
| Noisy vs Armor King | 22–28 | 44.00% |
| Noisy vs Jin | 16–23 | 41.03% |
| Noisy vs Dragunov | 12–26 | 31.58% |
| Noisy vs Bryan | 12–25 | 32.43% |
| Noisy vs Paul | 14–21 | 40.00% |
| Noisy vs Heihachi | 14–19 | 42.42% |
| Noisy vs Yoshimitsu | 13–17 | 43.33% |
| Noisy vs Hwoarang | 11–17 | 39.29% |
| Noisy vs Reina | 12–14 | 46.15% |
| Noisy vs Victor | 16–10 | 61.54% |
| Noisy vs Law | 10–15 | 40.00% |
| Noisy vs King | 10–15 | 40.00% |
| Noisy vs Eddy | 16–8 | 66.67% |
| Noisy vs Anna | 10–12 | 45.45% |
| Noisy vs Jun | 7–13 | 35.00% |
| Noisy vs Miary Zo | 9–9 | 50.00% |
| Noisy vs Nina | 8–8 | 50.00% |
| Noisy vs Fahkumram | 5–11 | 31.25% |
| Noisy vs Lili | 6–9 | 40.00% |
| Noisy vs Lee | 7–7 | 50.00% |
| Noisy vs Leo | 6–6 | 50.00% |
| Noisy vs Leroy | 2–10 | 16.67% |
| Noisy vs Alisa | 7–4 | 63.64% |
| Noisy vs Lars | 5–5 | 50.00% |
| Noisy vs Asuka | 1–8 | 11.11% |
| Noisy vs Xiaoyu | 4–4 | 50.00% |
| Noisy vs Azucena | 4–4 | 50.00% |
| Noisy vs Devil Jin | 2–5 | 28.57% |
| Noisy vs Clive | 4–3 | 57.14% |
| Noisy vs Lidia | 1–5 | 16.67% |
| Noisy vs Shaheen | 4–1 | 80.00% |
| Noisy vs Raven | 1–4 | 20.00% |
| Noisy vs Feng | 1–2 | 33.33% |
| Noisy vs Claudio | 1–2 | 33.33% |
| Noisy vs Kuma | 0–2 | 0.00% |
| Noisy vs Zafina | 1–1 | 50.00% |
| Noisy vs Jack-8 | 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.