How The New York Mets Use Data And Analytics




July 5, 2017

How The New York Mets Use Data And Analytics

NEW YORK – Even when New York Mets outfielder Curtis Granderson’s batting average had plummeted to a nadir of .122 with just one home run in early May, manager Terry Collins still etched his veteran slugger’s name into the No. 5 spot in the middle of his lineup card the very next day.

The Epic Untold Story of Nike’s (Almost) Perfect Marathon

On the night of May 5, 2017, Eliud Kipchoge, the world’s best marathon runner, lay awake with his eyes open and his mind racing. Under ordinary circumstances he is amiable and serene, with his furrowed, leonine features often lit with an ice-white smile.

Machine Learning Powers Tour De France Predictions

The majestic appeal of the Tour de France is its winding route for 2,200 miles through 21 stages, five mountain and four countries on the 2017 course, but that sprawling route creates challenges not just for the riders but also for the broadcasters.

How Syracuse football groups its players for strength and conditioning

Syracuse, N.Y. — Most college football coaches like to keep their plans and methods close to the vest. Syracuse’s Dino Babers certainly falls into that group. The training program he’s allowed Sean Edinger to install is key to preparing his offensive players to run his hurry-up, spread offense, Babers has said in the past.

How the acute:chronic workload ratio can help you monitor injury risk – Kinduct Technologies

Advancements in tracking technology have made it much easier to monitor athletes’ training loads. But it can still be a challenge to turn that data into the practical insight you need to determine the right workload balance for your athletes. Your experience and intuition likely guide many of those decisions.

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