AI-Powered Sports Picks that beat the book
10k Monte Carlo sims per game. Positive EV picks only.
AI-Powered Sports Picks that beat the book
10k Monte Carlo sims per game. Positive EV picks only.
10k Monte Carlo sims per game. Positive EV picks only.
10k Monte Carlo sims per game. Positive EV picks only.
We simulate each matchup 10,000 times to project outcomes and calculate expected value (EV). Only bets with positive EV make our card.

For each game, we run 10,000 Monte Carlo simulations to model thousands of possible outcomes. A Monte Carlo simulation repeatedly samples random inputs to approximate the expected value of a variable; the law of large numbers tells us that as the number of simulations increases, the average of the results converges to the true expected value. In practice, that means we generate a huge population of possible game results, then average them to find the most likely outcomes.
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