| N3CR0V0LP1 vs Jin | 145–147 | 49.66% |
| N3CR0V0LP1 vs Kazuya | 135–135 | 50.00% |
| N3CR0V0LP1 vs King | 140–107–1 | 56.68% |
| N3CR0V0LP1 vs Law | 92–134 | 40.71% |
| N3CR0V0LP1 vs Reina | 97–84 | 53.59% |
| N3CR0V0LP1 vs Bryan | 85–94 | 47.49% |
| N3CR0V0LP1 vs Hwoarang | 70–101 | 40.94% |
| N3CR0V0LP1 vs Heihachi | 75–91 | 45.18% |
| N3CR0V0LP1 vs Steve | 75–88 | 46.01% |
| N3CR0V0LP1 vs Lili | 80–80 | 50.00% |
| N3CR0V0LP1 vs Yoshimitsu | 77–81 | 48.73% |
| N3CR0V0LP1 vs Paul | 71–66 | 51.82% |
| N3CR0V0LP1 vs Dragunov | 65–70 | 48.15% |
| N3CR0V0LP1 vs Devil Jin | 55–65 | 45.83% |
| N3CR0V0LP1 vs Jun | 49–57 | 46.23% |
| N3CR0V0LP1 vs Lee | 55–48 | 53.40% |
| N3CR0V0LP1 vs Azucena | 52–50 | 50.98% |
| N3CR0V0LP1 vs Nina | 46–55 | 45.54% |
| N3CR0V0LP1 vs Asuka | 41–56 | 42.27% |
| N3CR0V0LP1 vs Eddy | 38–54 | 41.30% |
| N3CR0V0LP1 vs Armor King | 34–58 | 36.96% |
| N3CR0V0LP1 vs Alisa | 31–48 | 39.24% |
| N3CR0V0LP1 vs Lidia | 42–37 | 53.16% |
| N3CR0V0LP1 vs Feng | 26–50 | 34.21% |
| N3CR0V0LP1 vs Victor | 27–45 | 37.50% |
| N3CR0V0LP1 vs Lars | 32–33 | 49.23% |
| N3CR0V0LP1 vs Jack-8 | 27–34 | 44.26% |
| N3CR0V0LP1 vs Xiaoyu | 32–28 | 53.33% |
| N3CR0V0LP1 vs Leo | 24–27 | 47.06% |
| N3CR0V0LP1 vs Leroy | 16–35 | 31.37% |
| N3CR0V0LP1 vs Clive | 20–25 | 44.44% |
| N3CR0V0LP1 vs Fahkumram | 18–21 | 46.15% |
| N3CR0V0LP1 vs Kuma | 14–20 | 41.18% |
| N3CR0V0LP1 vs Raven | 15–19 | 44.12% |
| N3CR0V0LP1 vs Claudio | 13–20 | 39.39% |
| N3CR0V0LP1 vs Zafina | 15–8 | 65.22% |
| N3CR0V0LP1 vs Anna | 13–10 | 56.52% |
| N3CR0V0LP1 vs Shaheen | 10–11 | 47.62% |
| N3CR0V0LP1 vs Panda | 9–7 | 56.25% |
| N3CR0V0LP1 vs Miary Zo | 6–9 | 40.00% |
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.