| nono vs King | 30–34 | 46.88% |
| nono vs Jin | 27–30 | 47.37% |
| nono vs Hwoarang | 26–30 | 46.43% |
| nono vs Miary Zo | 25–24 | 51.02% |
| nono vs Reina | 26–13 | 66.67% |
| nono vs Steve | 13–23 | 36.11% |
| nono vs Law | 12–22 | 35.29% |
| nono vs Bryan | 20–13 | 60.61% |
| nono vs Kazuya | 7–22 | 24.14% |
| nono vs Dragunov | 11–17 | 39.29% |
| nono vs Yoshimitsu | 10–14 | 41.67% |
| nono vs Lili | 12–9 | 57.14% |
| nono vs Eddy | 13–8 | 61.90% |
| nono vs Jun | 10–10 | 50.00% |
| nono vs Lars | 10–7 | 58.82% |
| nono vs Heihachi | 7–10 | 41.18% |
| nono vs Azucena | 13–3 | 81.25% |
| nono vs Nina | 8–7 | 53.33% |
| nono vs Xiaoyu | 6–6 | 50.00% |
| nono vs Victor | 7–5 | 58.33% |
| nono vs Paul | 6–5 | 54.55% |
| nono vs Fahkumram | 5–6 | 45.45% |
| nono vs Shaheen | 6–4 | 60.00% |
| nono vs Anna | 2–8 | 20.00% |
| nono vs Jack-8 | 7–2 | 77.78% |
| nono vs Clive | 3–5 | 37.50% |
| nono vs Feng | 3–4 | 42.86% |
| nono vs Alisa | 5–2 | 71.43% |
| nono vs Claudio | 0–7 | 0.00% |
| nono vs Armor King | 3–4 | 42.86% |
| nono vs Asuka | 5–1 | 83.33% |
| nono vs Devil Jin | 3–3 | 50.00% |
| nono vs Lee | 6–0 | 100.00% |
| nono vs Leroy | 2–4 | 33.33% |
| nono vs Zafina | 2–3 | 40.00% |
| nono vs Leo | 3–1 | 75.00% |
| nono vs Lidia | 2–2 | 50.00% |
| nono vs Kuma | 2–1 | 66.67% |
| nono vs Raven | 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.