Monte Carlo Simulation Shows Playing 8 Lottery Lines Drains Money 8x Faster

A Python-based Monte Carlo simulation using historical Eurojackpot data demonstrates that playing eight lottery lines per draw does not meaningfully improve a player's financial outcome — it simply accelerates losses. The simulation modeled 1,000 fictional players across 10 years of draws, applying exact combinatorial probabilities and real average payout data to track each player's balance over time. While a single Eurojackpot line already carries an expected loss of roughly one euro per draw, multiplying lines scales that loss proportionally rather than improving odds in any meaningful way. The project used Python libraries including Polars, NumPy, and Matplotlib to process millions of random draw outcomes and visualize the resulting financial damage. The exercise illustrates how the popular belief that buying more lines boosts one's chances is mathematically true in a narrow sense but financially counterproductive in practice.