Joy: As a Data Analytics teacher, I often think about the applications of machine intelligence to work processes. Samford undergraduate Copeland Petitfils has written the following blog, which is a reminder to me that there are still many potential areas for growth.
Since “Moneyball”, we have seen the growth of analytics throughout sports. However, many teams have stuck to the same old way of playing baseball, like the Braves. This past May, the Braves took a new innovative approach and saw room for growth on their defensive side.
The general manager, Alex Anthopoulos, implemented a radical strategy and improved the defense by using shifts with data analytics. While “Moneyball” looked at the statistics of acquiring cheaper players who had good batting averages and improved the offensive side, the Braves looked at improving the defensive side and the way they shift between pitches to improve their chances of getting a ground ball out. A defensive shift in baseball refers to the infield changing positions from normal to a certain area of the infield based on the pitches and using stat cast to predict where the batter is most likely to hit the ball depending on the type of pitches. Shifting can increase the probability for players to get ground balls out rather than hits.
Statistically, the Braves ranked at the bottom of defensive shifts in the MLB, and Anthopoulos, the general manager, saw this as an opportunity to improve. The Braves started the 2021 season with no shifting at all to shifting on 50.6% of pitches by the end of the year, which was the highest in baseball this year only behind the Dodgers. The shifting ultimately allows the Braves to improve in converting ground balls to out rather than turning into hits. At the start of the season, the Braves converted under 75% of ground balls into outs which ranked middle of the pack in defense. However, since implementing the shift the number jumped to 77%, which was the second-best in baseball. Although these jumps in percentages seem small, they allowed the Braves to field 25 more ground balls into outs rather than hits.
The data analytics the Braves used allowed the players to be put in a better position to succeed, and as the season progressed, they started to get better and better at it. These decisions turned around the Braves’ season, and now they are on their way to the World Series for the first time since 1999 after beating the Dodgers in the NL Championship.
Coda by Joy: That said, guess who failed at data driven decision making? Zillow!
In a statement Tuesday, Chief Executive Rich Barton said Zillow had failed to predict the pace of home-price appreciation accurately, marking an end to a venture the company once said could generate $20 billion a year. Instead, the company said it now plans to cut 25% of its workforce… “We’ve determined the unpredictability in forecasting home prices far exceeds what we anticipated and continuing to scale Zillow Offers would result in too much earnings and balance-sheet volatility,” Mr. Barton said.