Electroencephalography (EEG) is a powerful tool for characterizing brain activity, widely applied in neurological research and diagnostics. While numerous studies have leveraged EEG in clinical settings, fewer investigations have examined its utility in monitoring cognitive states like focus and attention for sports performance. This study aimed to address that gap by analyzing how EEG-derived focus levels correlate with performance in a golf-putting task under naturalistic conditions. Conducted at the E-maintenance Lab of Luleå University of Technology, the research involved capturing EEG signals from participants performing repeated golf putts on an indoor green. We hypothesized that putts classified as “Hits” would exhibit elevated focus compared to “Misses.” The signals were preprocessed, labeled, and analyzed with distance metrics and correlation measures, revealing distinct patterns linked to performance outcomes. Notably, the findings pointed to the complexity of maintaining consistent cognitive states, as neural indicators varied across sessions. By combining low-cost EEG technology with signal analysis, this study highlights both the feasibility and challenges of monitoring focus in real-world sports scenarios. The results confirm a nuanced relationship between cognitive engagement and successful performance, underscoring the need for expanded participant pools and more sophisticated AI-driven methods in future research. Gaining a deeper understanding of these neural mechanisms could inform performance optimization strategies in precision sports.