In my NFL score prediction project for my Sports Statistics class, I adeptly applied statistical analysis to forecast the outcome of the Saints versus Bears game. Delving into team performances and defensive and offensive ratings, I accurately predicted a score of Saints 25, Bears 18, just one point higher for each team than the actual result.

I skillfully combined established formulas with a custom model, considering various factors like team dynamics and game location. This approach mirrors a comprehensive data analysis cycle, involving data collection, pattern analysis, and insightful predictions.

The near-accuracy of my prediction underscores my proficiency in handling complex data sets and extracting key insights. It demonstrates my attention to detail and capability with statistical tools, essential in data-focused roles. This assignment illustrates my ability to balance analytical rigor with practical application, showcasing my potential to use data for forward-looking predictions in real-world scenarios.