I want to dig deep into the numbers behind backgammon play and understand, in hard data terms, how individual moves stack up against each other. The focus is purely statistical: I’m not looking for broad strategy notes or coaching, but for a clear, quantified picture of move-by-move patterns across a set of games. Here’s what I need from you: • Clean, reproducible code (Python, R, or similar) that ingests the game records I’ll supply and produces summary tables plus visualisations—think efficiency scores, distribution charts, and any other metrics that reveal which moves consistently pay off. • A concise write-up (PDF or notebook) that explains methods, key findings, and any limitations. • All scripts, notebooks, and processed data files so I can rerun the analysis later. I have export files of completed matches ready to share the moment we start. If you can suggest additional statistical tests or modelling approaches that might illuminate things further, I’m all ears. Accuracy, transparency, and clear presentation are the priorities.