Hoornstra: Baseball motion-capture data could spur a new frontier of injury prevention

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Hoornstra: Baseball motion-capture data could spur a new frontier of injury prevention
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Driveline Baseball’s open-source motion capture data project, announced in December, could catalyze research into helping prevent injuries.

in March. They were interested in learning more about how pitchers create deception. More specifically, what can pitchers do to fool a hitter into thinking the ball is going someplace it isn’t? How do some pitchers inadvertently tip hitters off to what pitch they’re about to throw?

Their research examined just the initial movement of pitchers’ skeletons – not the movement of the baseball, not the way the ball was gripped – to see if they could predict what kind of pitch was being thrown. Remarkably, they could. Deception is another layer to add to the science of pitching, one that has already produced an explosion of knowledge about how pitchers generate speed and movement – and contributed toThese kinds of rabbit holes can be a fascinating intellectual pursuit. They’re also the source material that the anti-analytics crowd loves to seize upon with derision.

But to use this argument as evidence that analytics “damage” the game is to throw the baby out with the bathwater. The initial research on deception amounts to low-hanging fruit in the overall body of knowledge that Driveline’s motion-capture data might unlock.

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