PITCHf/x

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PITCHf/x, created and maintained by Sportvision, is a system that tracks the speeds and trajectories of pitched baseballs. This system, which made its debut in the 2006 MLB playoffs, is installed in every MLB stadium.[1]

Usage[edit]

PITCHf/x is a system using two 60 Hz cameras mounted in the stadium to track the speed and location of a pitched baseball from the pitcher's mound to home plate with an accuracy of better than one mile per hour and one inch. With PITCHf/x, statistics such as the pitcher with the fastest fastball, or the pitcher with the sharpest-breaking curve, etc., can be analyzed. It calculates the "movement" of pitches caused by the Magnus force.[2]

The PITCHf/x data is used in MLB's online Gameday webcast to show the path and speed of each pitch, as well as the location with respect to the strike zone as the pitch crossed the front of home plate. Gameday presents two values from PITCHf/x to characterize the deflection of the pitch trajectory. The BRK quantity represents the amount of bend in the trajectory at its greatest distance from a straight line. A curveball will have a larger value of BRK than a fastball. The PFX quantity represents the deflection of the baseball due to the spin and drag forces from the path it would have taken under the influence of gravity alone. For example, a fastball would have a small value for BRK but a large value for the spin displacement PFX because of the rising action of the fastball caused by backspin. Conversely, a curveball or slider will have a significant break measurement, but lower spin displacement.[3]

Major League Baseball Advanced Media, which owns the data used in Gameday, releases the data every day in .xml format. Several privately owned websites display this information, often with sorting functions and visual displays.[4]

According to University of Illinois professor Alan M. Nathan, the PITCHf/x system allows analysts to "record with unprecedented precision such quantities as the pitch speed and the location at home plate. But even more importantly, we have measures of quantities that we never had before. As a result, we now have new and novel ways to study the art of pitching."[5]

PITCHf/x data is generally consistent across ballparks, but there have been instances of apparent discrepancies in the data gathered at certain ballparks. (For example, a pitcher's fastball speed might be 1–2 mph faster at home than on the road.)[6] PITCHf/x uses algorithms to automatically classify every pitch by type, but these algorithms are imprecise.[7]

References[edit]

  1. ^ DiMeo, Nate (August 15, 2007). "Pitch f/x, the new technology that will change baseball analysis forever. - Slate Magazine". Slate. Retrieved 18 October 2012. 
  2. ^ Nathan, Alan M. (February 29, 2012). "Analysis of knuckleball trajectories". Procedia Engineering 34: 116–121. doi:10.1016/j.proeng.2012.04.021. Retrieved October 31, 2012. 
  3. ^ Newman, Mark (October 2, 2007). "Pitch-f/x adds insight to watching games". MLB.com. Retrieved 13 January 2014. 
  4. ^ Allen, Dave (March 5, 2010). "How Can I Get My Hands on the Pitchf/x Data?". Baseball Analysts. Retrieved 1 October 2012. 
  5. ^ Nathan, Alan M. (October 18, 2012). "Determining Pitch Movement from PITCHf/x Data". Retrieved 18 October 2012. 
  6. ^ Fast, Mike (June 17, 2010). "The Internet cried a little when you wrote that on it". The Hardball Times. Retrieved 18 October 2012. 
  7. ^ Brooks, Dan (February 3, 2012). "Yes, we actually classified every pitch". The Hardball Times. Retrieved 31 October 2012.