Clippd Review
Clippd is a web-based app that works on mobile and desktop. It presents a detailed picture of your game in the form of engaging, immersive data graphics. These insights are driven by Artificial Intelligence that learns about your game each time you enter more round or practice data. Clippd has developed powerful new metrics that, it says, more accurately measure skill: your overall skill level today (Player Quality) and the skill level required to play each and every shot (Shot Quality).
Clippd is a London-based company founded by Ed Crossman and Piers Parnell, who met while playing golf for Oxford University. They recognised that golf is an increasingly connected sport, with a wide range of data points – GPS watches and grips, launch monitors, smart ranges, force plates, motion capture tech, scoring apps and so on – but these technologies do not connect or talk to each other. Enter Clippd, which is on a mission to help every golfer better understand their game and how to improve.
After a long period of testing, Clippd launched in the autumn of 2022 and judging by its social media content, leading men’s and women’s college teams in America are already seeing significant performance gains. Now, golfers of all abilities are able to subscribe and get the same detail as pros and elite amateurs.
How it works
You can easily and quickly upload your round data to Clippd using Arccos Caddie, Garmin golf watches and Clippd Capture, a free companion app. Arccos syncs at the press of a button, Garmin requires putt information to be added, and Clippd Capture is a slick manual data entry solution. TrackMan tests and combines can also be uploaded to Clippd.
Clippd harmonises all this data and presents it back to the user as Shot Quality and Player Quality, as well as Strokes Gained. Shot Quality and Player Quality are represented as single numbers between 0 and 200, with 100 being male ‘tour average’ and 200 representing ‘statistical perfection’ (such as a hole in one or a monster putt).
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Clippd builds on the foundations of Strokes Gained by layering in additional layers of context to make its feedback even more precise. These include weather and course conditions and course difficulty. Another key differentiator is that…
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