Since 1997, chess computers have been able to beat the world’s strongest human players. While humans and computers approach the game of chess very differently, there are numerous strategic insights that humans can extract from chess engine behavior and positional evaluations. This talk will explore the concept of in-game win probability for human chess matches where factors like rating, time, and player tendencies play a large role in outcomes.