| Nover vs Reina | 25–24 | 51.02% |
| Nover vs Jin | 16–25 | 39.02% |
| Nover vs Kazuya | 15–25 | 37.50% |
| Nover vs King | 19–14 | 57.58% |
| Nover vs Steve | 17–16 | 51.52% |
| Nover vs Bryan | 10–22 | 31.25% |
| Nover vs Law | 18–13 | 58.06% |
| Nover vs Hwoarang | 15–16 | 48.39% |
| Nover vs Asuka | 10–13 | 43.48% |
| Nover vs Eddy | 11–11 | 50.00% |
| Nover vs Azucena | 5–13 | 27.78% |
| Nover vs Lidia | 9–8 | 52.94% |
| Nover vs Heihachi | 6–11 | 35.29% |
| Nover vs Dragunov | 8–8 | 50.00% |
| Nover vs Lee | 7–8 | 46.67% |
| Nover vs Lili | 5–8 | 38.46% |
| Nover vs Nina | 6–7 | 46.15% |
| Nover vs Paul | 5–7 | 41.67% |
| Nover vs Jun | 7–5 | 58.33% |
| Nover vs Victor | 4–7 | 36.36% |
| Nover vs Xiaoyu | 4–6 | 40.00% |
| Nover vs Claudio | 7–3 | 70.00% |
| Nover vs Yoshimitsu | 4–5 | 44.44% |
| Nover vs Anna | 4–5 | 44.44% |
| Nover vs Jack-8 | 5–3 | 62.50% |
| Nover vs Leo | 3–5 | 37.50% |
| Nover vs Alisa | 2–6 | 25.00% |
| Nover vs Leroy | 2–5 | 28.57% |
| Nover vs Raven | 4–3 | 57.14% |
| Nover vs Miary Zo | 4–3 | 57.14% |
| Nover vs Devil Jin | 2–4 | 33.33% |
| Nover vs Feng | 3–2 | 60.00% |
| Nover vs Shaheen | 2–3 | 40.00% |
| Nover vs Zafina | 3–2 | 60.00% |
| Nover vs Clive | 1–3 | 25.00% |
| Nover vs Lars | 1–2 | 33.33% |
| Nover vs Kuma | 0–3 | 0.00% |
| Nover vs Armor King | 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.