A new Scrabble engine uses probability-based move selection to compete at a championship level. The system optimizes for expected value rather than simple dictionary lookups. Lobste.rs users noted its efficiency compared to traditional search algorithms. This research demonstrates how targeted probabilistic models outperform general heuristics in constrained, high-strategy board games.