Baseball player about to hit the ballThe trend of using analytics has gained traction in baseball, but some are wondering if its advantages are a good enough reason for ignoring the negative consequences.

Batting average, for instance, has reached its lowest point since 1972. While experts believe that baseball analytics would only continue to develop in the next 10 years, it remains important to figure out how clubs could overcome the challenge of using big data to their advantage.

Higher Risk-Reward Ratio

The lower batting average stems from a higher risk-reward scenario for teams, which involves the use of a batting technique of sending the ball as high as possible in the air most of the time. This increases the likelihood of a home run or a strikeout at the same time.

A strikeout is more possible to happen today, due to many pitchers register at least 95 miles per hour on a radar gun and have a decent record of strikeouts courtesy of them. Baseball analysts credit this to the use of analytics as well, as teams also use data to evaluate the performance of hurlers.

Research and Development

Aside from batting and pitching averages, many teams try to cover more ground on analyzing information and probabilities. For instance, some clubs have hired experts to find out whether there is a right time to steal bases during games.

Others seek to know how to reduce the chances of injuries and exploit the weaknesses of other teams. It’s one thing to be aware of a team’s tendencies, but applying the acquired knowledge in a game is another story.

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Baseball analytics have provided teams with a way to outsmart each other, but it seems that it has come at the expense of entertainment. While the need to win is essential, it’s equally important that fans continue to be engaged in the sport.