Teams Searching For Ways To Give Players More Rest

Updated: March 12, 2017

The wonderful game of baseball has relied heavily on the utilization of statistical analysis in order for a given team to have an advantage. However, the old-fashioned methods of scanning numbers have changed in recent memory. Granted the eventual outcome remains precisely the same with respect to gaining even the slightest of advantages, things are a bit different. Frankly, they will likely even get more different in the time to come. writer Mike Axisa talks about this subject matter in his piece entitled “MLB teams focusing on improved rest to help their players perform better.” More teams nowadays are toying with advanced systems that are able to someway, somehow measure even the most seemingly trivial, inconsequential aspects of the game. Data is literally being netted left and right to track things such as the secrets behind the estimated effectiveness of, say, a curveball. Not all of it, though, is being monitored through pure observation and prudence.

Axisa delves into some insight from another CBS colleague of his, R.J. Anderson. Anderson discusses how MLB clubs are analyzing data in contemporary society to better raise their chances of success. Anderson imparts the following words:

“‘Right now, we have teams out there, who, when they evaluate a player, they’re taking their 2017 schedule, they are prototyping the opposing pitcher array — perhaps, if they’re really sophisticated, even assuming what the seventh, eighth, and ninth innings look like against those teams — and they’re simulating a batter’s performance, a prospective acquisition, his performance against that pitching opposition, in those ballparks,’ Gennaro said. ‘Because they’re not looking at his stats, they’re looking at his exit velocity and his launch angle.’”

Implementing all of this ostensibly obscure data into decision-making may seem like a waste of time to the average joe. It may seem impractical to go the extra mile insofar as matters like player evaluations are concerned. That is just the catch, though. Anderson may be getting at something in his article. Even the most gifted, committed statistician only has so much time and energy to offer in a day. With that being said, the secondary routes do not defy logic, yet become logical. The secondary routes reveal far more than the obvious.

Chunks of data cannot always be the absolute best indicator of how a player will perform due to the fact that even the very best player is still a human at the end of the day. However, the software that has been carefully developed over the course of time has its perks beyond the more prototypical approaches. According to Axisa’s piece, the software can actually work to the degree of helping determine when a player could use a day off. This is important because even the everyday superstar needs an occasional breather to increase the likelihood of not only short term success, but long term output.

The rest factor is particularly riveting for it exemplifies the importance of having extra help on the pine. Having those face of the franchise type players is important, no doubt about it. However, it cannot be assumed that such talents will constantly remain 100% health wise at every nook and cranny of the season. It is impossible to conjure up that preconceived notion. It is what makes these modernisms so incredibly unique to behold. It is not to say that being analytical is inherently bad. It just the age we are in.

These gizmos are still being figured out on account of them being so fresh in the marketplace. In spite of that, once the various instruments are better grasped in the next several years or so time wise, it will be scintillating to see how far the MLB goes with regard to player assessment. What is more scintillating to think about is that this could very well just be the beginning. The realm of technology is consistently getting more sophisticated in nature. There being a direct correlation with the world of sports is only inevitable.

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