| NobuNii vs Steve | 27–25 | 51.92% |
| NobuNii vs Kazuya | 18–20 | 47.37% |
| NobuNii vs Jin | 13–20 | 39.39% |
| NobuNii vs Bryan | 14–13 | 51.85% |
| NobuNii vs King | 16–9 | 64.00% |
| NobuNii vs Lars | 12–10 | 54.55% |
| NobuNii vs Heihachi | 12–10 | 54.55% |
| NobuNii vs Law | 5–16 | 23.81% |
| NobuNii vs Dragunov | 9–12 | 42.86% |
| NobuNii vs Asuka | 12–6 | 66.67% |
| NobuNii vs Paul | 8–9 | 47.06% |
| NobuNii vs Devil Jin | 7–9 | 43.75% |
| NobuNii vs Armor King | 4–12 | 25.00% |
| NobuNii vs Jun | 8–7 | 53.33% |
| NobuNii vs Reina | 7–8 | 46.67% |
| NobuNii vs Victor | 4–11 | 26.67% |
| NobuNii vs Miary Zo | 6–8 | 42.86% |
| NobuNii vs Hwoarang | 7–6 | 53.85% |
| NobuNii vs Clive | 7–6 | 53.85% |
| NobuNii vs Lili | 4–8 | 33.33% |
| NobuNii vs Fahkumram | 5–4 | 55.56% |
| NobuNii vs Alisa | 0–8 | 0.00% |
| NobuNii vs Lee | 6–2 | 75.00% |
| NobuNii vs Kuma | 5–3 | 62.50% |
| NobuNii vs Lidia | 5–3 | 62.50% |
| NobuNii vs Anna | 3–5 | 37.50% |
| NobuNii vs Claudio | 2–5 | 28.57% |
| NobuNii vs Shaheen | 4–2 | 66.67% |
| NobuNii vs Feng | 4–1 | 80.00% |
| NobuNii vs Eddy | 4–1 | 80.00% |
| NobuNii vs Yoshimitsu | 0–3 | 0.00% |
| NobuNii vs Zafina | 2–1 | 66.67% |
| NobuNii vs Jack-8 | 0–2 | 0.00% |
| NobuNii vs Leo | 0–2 | 0.00% |
| NobuNii vs Panda | 2–0 | 100.00% |
| NobuNii vs Azucena | 2–0 | 100.00% |
| NobuNii vs Xiaoyu | 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.