| Nova vs King | 55–18 | 75.34% |
| Nova vs Reina | 40–9 | 81.63% |
| Nova vs Heihachi | 36–6 | 85.71% |
| Nova vs Kazuya | 33–6 | 84.62% |
| Nova vs Eddy | 28–7 | 80.00% |
| Nova vs Jun | 22–10 | 68.75% |
| Nova vs Law | 23–7 | 76.67% |
| Nova vs Jin | 18–11 | 62.07% |
| Nova vs Azucena | 20–8 | 71.43% |
| Nova vs Steve | 21–6 | 77.78% |
| Nova vs Asuka | 17–7 | 70.83% |
| Nova vs Clive | 19–5 | 79.17% |
| Nova vs Lili | 13–10 | 56.52% |
| Nova vs Victor | 18–5 | 78.26% |
| Nova vs Alisa | 13–8 | 61.90% |
| Nova vs Hwoarang | 17–3 | 85.00% |
| Nova vs Dragunov | 14–6 | 70.00% |
| Nova vs Xiaoyu | 17–2 | 89.47% |
| Nova vs Devil Jin | 15–4 | 78.95% |
| Nova vs Paul | 13–5 | 72.22% |
| Nova vs Bryan | 11–6 | 64.71% |
| Nova vs Nina | 13–4 | 76.47% |
| Nova vs Kuma | 14–3 | 82.35% |
| Nova vs Lidia | 14–3 | 82.35% |
| Nova vs Leo | 14–2 | 87.50% |
| Nova vs Jack-8 | 13–2 | 86.67% |
| Nova vs Lee | 9–5 | 64.29% |
| Nova vs Zafina | 10–3 | 76.92% |
| Nova vs Yoshimitsu | 9–3 | 75.00% |
| Nova vs Feng | 10–1 | 90.91% |
| Nova vs Leroy | 8–2 | 80.00% |
| Nova vs Anna | 7–3 | 70.00% |
| Nova vs Lars | 6–2 | 75.00% |
| Nova vs Raven | 5–3 | 62.50% |
| Nova vs Shaheen | 4–3 | 57.14% |
| Nova vs Miary Zo | 3–1 | 75.00% |
| Nova vs Fahkumram | 2–1 | 66.67% |
| Nova vs Claudio | 1–0 | 100.00% |
| Nova vs Panda | 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.