As the Los Angeles Dodgers gear up for the National League Championship Series against the Milwaukee Brewers, they are hunting for every edge possible to secure a third straight World Series title. October baseball is often decided by tiny, elusive details like spotting a pitcher’s tendencies or recognizing subtle cues before a pitch is delivered. Dodgers infielder Max Muncy recently disclosed that AI technology is becoming a tool in this quest, helping teams analyze video footage to detect slight mechanical shifts such as changes in a pitcher's glove or hand position.

During a discussion on Foul Territory, Muncy explained that some teams have started using artificial intelligence programs to process immense volumes of video, flagging movements that human eyes might overlook. This tech-driven approach represents a new dimension of strategic preparation at the highest level, aiming to detect “pitch tipping” — involuntary clues pitchers might give away about their next pitch. While this innovation could enhance scouting reports, it still requires players to interpret and apply the insights during intense postseason moments.

The Dodgers advanced to the NLCS after defeating the Atlanta Braves in four games, while the Brewers made it past the San Diego Padres. Milwaukee enters the series with the upper hand from a 103-win regular season and home-field advantage, whereas the Dodgers won 100 games. Though Los Angeles swept the Brewers in last year's NLCS, the matchup promises to be highly competitive, with both teams having recent playoff familiarity and potent rosters.

In this context, the Dodgers’ embrace of AI reflects a broader trend in professional sports toward technology-driven analysis. As Max Muncy and his teammates face elite pitching, these AI tools could prove pivotal in uncovering subtle patterns and improving their chances to anticipate and counteract opposing pitchers’ strategies as they pursue another championship run.