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Inhoud geleverd door Hack it Out Golf - Mark Crossfield, Lou Stagner, Greg Chalmers, Golf Swing Productions by Mark Crossfield Greg Chalmers, and Lou Stagner. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Hack it Out Golf - Mark Crossfield, Lou Stagner, Greg Chalmers, Golf Swing Productions by Mark Crossfield Greg Chalmers, and Lou Stagner of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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Learning from Tour Player Swings, Part 4 (Sway)

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Manage episode 428301868 series 2835230
Inhoud geleverd door Hack it Out Golf - Mark Crossfield, Lou Stagner, Greg Chalmers, Golf Swing Productions by Mark Crossfield Greg Chalmers, and Lou Stagner. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Hack it Out Golf - Mark Crossfield, Lou Stagner, Greg Chalmers, Golf Swing Productions by Mark Crossfield Greg Chalmers, and Lou Stagner of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

In today's episode, Mark compares motion capture data from two elite players—this time, Jon Rahm and Rickie Fowler. The point of comparison: how much do they move their center away from or toward the target at different points in the swing. Lou and Greg make their best guesses, but then the discussion turns to how "sway" in the swing affects other swing characteristics, and how that might be relevant to your game and helping you improve.

Where to find us:

Mark Crossfield's weekly newsletter: https://www.crossfieldgolf.com/subscribe

Mark Crossfield on Twitter: https://twitter.com/4golfonline

Mark Crossfield on YouTube: https://www.youtube.com/user/4golfonline

Lou Stagner's weekly newsletter: https://newsletter.loustagnergolf.com/subscribe

Lou Stagner on Twitter: https://twitter.com/LouStagner

Greg Chalmers on Twitter: https://twitter.com/GregChalmersPGA

The Hack It Out Golf Podcast on Twitter: https://twitter.com/HackItOutGolf

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

412 afleveringen

Artwork
iconDelen
 
Manage episode 428301868 series 2835230
Inhoud geleverd door Hack it Out Golf - Mark Crossfield, Lou Stagner, Greg Chalmers, Golf Swing Productions by Mark Crossfield Greg Chalmers, and Lou Stagner. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Hack it Out Golf - Mark Crossfield, Lou Stagner, Greg Chalmers, Golf Swing Productions by Mark Crossfield Greg Chalmers, and Lou Stagner of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

In today's episode, Mark compares motion capture data from two elite players—this time, Jon Rahm and Rickie Fowler. The point of comparison: how much do they move their center away from or toward the target at different points in the swing. Lou and Greg make their best guesses, but then the discussion turns to how "sway" in the swing affects other swing characteristics, and how that might be relevant to your game and helping you improve.

Where to find us:

Mark Crossfield's weekly newsletter: https://www.crossfieldgolf.com/subscribe

Mark Crossfield on Twitter: https://twitter.com/4golfonline

Mark Crossfield on YouTube: https://www.youtube.com/user/4golfonline

Lou Stagner's weekly newsletter: https://newsletter.loustagnergolf.com/subscribe

Lou Stagner on Twitter: https://twitter.com/LouStagner

Greg Chalmers on Twitter: https://twitter.com/GregChalmersPGA

The Hack It Out Golf Podcast on Twitter: https://twitter.com/HackItOutGolf

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

412 afleveringen

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