| jNoise92 vs Kazuya | 42–57 | 42.42% |
| jNoise92 vs Jin | 26–44 | 37.14% |
| jNoise92 vs King | 31–36 | 46.27% |
| jNoise92 vs Law | 29–34 | 46.03% |
| jNoise92 vs Steve | 39–24 | 61.90% |
| jNoise92 vs Bryan | 20–34 | 37.04% |
| jNoise92 vs Hwoarang | 16–32 | 33.33% |
| jNoise92 vs Dragunov | 16–31 | 34.04% |
| jNoise92 vs Armor King | 22–25 | 46.81% |
| jNoise92 vs Reina | 26–20 | 56.52% |
| jNoise92 vs Heihachi | 12–29 | 29.27% |
| jNoise92 vs Paul | 16–21 | 43.24% |
| jNoise92 vs Yoshimitsu | 22–15 | 59.46% |
| jNoise92 vs Lili | 17–20 | 45.95% |
| jNoise92 vs Jun | 15–14 | 51.72% |
| jNoise92 vs Asuka | 17–8 | 68.00% |
| jNoise92 vs Lars | 14–10 | 58.33% |
| jNoise92 vs Devil Jin | 8–12 | 40.00% |
| jNoise92 vs Fahkumram | 6–13 | 31.58% |
| jNoise92 vs Lee | 7–11 | 38.89% |
| jNoise92 vs Miary Zo | 10–8 | 55.56% |
| jNoise92 vs Lidia | 8–9 | 47.06% |
| jNoise92 vs Eddy | 4–11 | 26.67% |
| jNoise92 vs Feng | 6–8 | 42.86% |
| jNoise92 vs Azucena | 8–5 | 61.54% |
| jNoise92 vs Anna | 5–8 | 38.46% |
| jNoise92 vs Claudio | 6–6 | 50.00% |
| jNoise92 vs Victor | 6–6 | 50.00% |
| jNoise92 vs Xiaoyu | 9–2 | 81.82% |
| jNoise92 vs Leroy | 6–5 | 54.55% |
| jNoise92 vs Jack-8 | 9–0 | 100.00% |
| jNoise92 vs Alisa | 3–6 | 33.33% |
| jNoise92 vs Clive | 3–6 | 33.33% |
| jNoise92 vs Leo | 6–2 | 75.00% |
| jNoise92 vs Nina | 2–6 | 25.00% |
| jNoise92 vs Kuma | 1–4 | 20.00% |
| jNoise92 vs Raven | 2–3 | 40.00% |
| jNoise92 vs Shaheen | 2–2 | 50.00% |
| jNoise92 vs Zafina | 2–0 | 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.