SportStat Echo

Inspired by the fragmented yet interconnected nature of memory in 'Memento', and the competitive pricing strategies in e-commerce, 'SportStat Echo' aims to create a unique sports analytics tool. The core concept is to build a scraper that collects historical performance data for individual athletes and teams across various sports. This data, much like Leonard Shelby's fragmented clues, will be stored and indexed in a way that allows for non-linear analysis. Users, such as amateur coaches, fantasy sports players, or even aspiring sports agents, can query the system with specific historical performance parameters (e.g., 'how did this player perform in the last 5 games after a loss, specifically on Tuesdays in cooler weather?'). The scraper will continuously feed new data, simulating the constant influx of information, while the analysis engine will reconstruct potential future outcomes or identify overlooked historical trends. The 'Nightfall' inspiration comes in by focusing on the less explored, 'darker' corners of sports data – niche leagues, specific sub-metrics, or obscure historical matchups that are often overlooked but can hold significant predictive power. Implementation is low-cost, utilizing readily available scraping libraries (like Beautiful Soup or Scrapy) and basic database solutions. The niche aspect lies in its focus on detailed, historical micro-analysis rather than broad statistical overviews. Earning potential comes from offering premium subscription tiers for more advanced analytical features, personalized reports, or API access for fantasy sports platforms and betting syndicates. The project can start with a single sport and gradually expand, making it scalable and manageable for an individual.