| NovaXL vs King | 26–36 | 41.94% |
| NovaXL vs Steve | 29–23 | 55.77% |
| NovaXL vs Jin | 17–29 | 36.96% |
| NovaXL vs Hwoarang | 17–28 | 37.78% |
| NovaXL vs Kazuya | 10–34 | 22.73% |
| NovaXL vs Jun | 18–25 | 41.86% |
| NovaXL vs Reina | 19–22 | 46.34% |
| NovaXL vs Heihachi | 12–20 | 37.50% |
| NovaXL vs Bryan | 17–13 | 56.67% |
| NovaXL vs Lidia | 14–16 | 46.67% |
| NovaXL vs Law | 8–19 | 29.63% |
| NovaXL vs Lili | 8–19 | 29.63% |
| NovaXL vs Dragunov | 8–19 | 29.63% |
| NovaXL vs Asuka | 9–14–1 | 39.13% |
| NovaXL vs Eddy | 6–17 | 26.09% |
| NovaXL vs Clive | 9–14 | 39.13% |
| NovaXL vs Lars | 10–10 | 50.00% |
| NovaXL vs Azucena | 11–8 | 57.89% |
| NovaXL vs Kuma | 7–11 | 38.89% |
| NovaXL vs Nina | 5–12 | 29.41% |
| NovaXL vs Victor | 8–9 | 47.06% |
| NovaXL vs Xiaoyu | 8–7 | 53.33% |
| NovaXL vs Devil Jin | 5–10 | 33.33% |
| NovaXL vs Yoshimitsu | 3–10 | 23.08% |
| NovaXL vs Lee | 7–5 | 58.33% |
| NovaXL vs Feng | 6–4 | 60.00% |
| NovaXL vs Leo | 3–6 | 33.33% |
| NovaXL vs Leroy | 4–4 | 50.00% |
| NovaXL vs Alisa | 3–4 | 42.86% |
| NovaXL vs Paul | 4–2 | 66.67% |
| NovaXL vs Jack-8 | 0–5 | 0.00% |
| NovaXL vs Raven | 1–3 | 25.00% |
| NovaXL vs Claudio | 1–2 | 33.33% |
| NovaXL vs Zafina | 2–1 | 66.67% |
| NovaXL vs Panda | 0–2 | 0.00% |
| NovaXL vs Anna | 0–2 | 0.00% |
| NovaXL vs Shaheen | 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.