Baseball and Big Data: How Statistics and Analytics Are Changing the Game

Baseball and Big Data: How Statistics and Analytics Are Changing the Game

Link:https://kwhs.wharton.upenn.edu/2019/03/baseball-big-data-statistics-analytics-changing-game/


As computerized modeling and mathematical analytics have advanced, more and more professional sports organizations are utilizing big data to categorize and strategize investment decisions. In the context of the sports world, these investment decisions are otherwise known as player contracts. Team owners and front office staff intricately check every contract they dole out. Making a successful signing with star player might bring lots of benefits. For example, more fans more streaming flow and this will definitely accompany with money. Those star player mostly looking for a long-term contract which is least five-year or even more. But as data tells that players performance is not worth to the contract in the end of the contract. Moreover  their expansive salary affect club next decade destiny and budget. In the business field, it is not a smart decision to put all eggs in a same basket. So in recent years, club bosses are unwilling to provide long-term deal to star players. Instead they tend to nurture minor league prospects and then sign them as soon as possible. Hence it, you can see there is a  huge difference between recent years big deal contracts and 

  Personally, I am a fanatic NBA fan—I love watching Stephen Curry weaving in and out of defenders, splashing threes, and Giannis Antetokounmpo euro stepping into a dunk. Even though I thoroughly enjoy watching basketball games, to me, the most intriguing portion of the NBA is free agency. Every summer, there is a frenzy of transactions: teams trading star players, signing marquee free agents, and vaulting into the luxury tax by overpaying their players. While front offices during the times of lore (early to late 20th century) largely relied on basic metrics like PPG (points per game) and RPG (rebounds per game), modern-day statisticians have developed more advanced measures to evaluate player performance. Back in the 1900s, players like Wilt Chamberlain, who scored 100 points in a game, and Bill Russell, who grabbed 51 rebounds in a game, were the ones who were awarded with extravagant contracts, but nowadays, NBA athletes like Draymond Green (who averaged a meager 7.4 PPG in the 2018-2019 season) are receiving $100 million contracts. The exceptionally volatile change in how the NBA values players prompts one essential question: exactly how are NBA athletes who barely pass the eye test in basic metrics convincing teams to consign them to a huge payday?





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