
Rob Carroll
@thevideoanalyst
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All my previous articles and courses now live at https://t.co/57A6bJ5woS but you can get me here [email protected]
Ireland
Joined April 2009
Interesting to see if the data companies try to own this space and change the model or leave it to 3rd parties and clubs to build themselves.
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A coach asks, "Show me all defensive midfielders in Europe under 23 with a passing accuracy above 85% and at least 5 interceptions per 90 minutes last season." And instantly, the AI provides a curated list, complete with visualisations.
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Instead of just providing raw data, these companies could build custom "GPTs" ā highly specialized AI assistants trained specifically on their unique sports datasets.
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unlike most SaaS companies, sports data providers Own the underlying, proprietary data. They collect it, refine it, and package it. Yet, the current model often leaves significant value on the table, relying on clubs' internal resources or 3rd parties to maximize that potential.
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The sports data industry is at a fascinating crossroads. For years, the model's largely mirrored SaaS: user seats. Clubs pay for access, then largely on their own to extract insights from downloads or API connections.
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Mid-range shots 'disappeared' in Basketball - could the same happen in Gaelic Football? https://t.co/V98My7Z8dp
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My Tableau for Football: Mastering the Essentials in 90 Minutes is now just $9.99 for the next few days.
udemy.com
Interested in visualizing football data. This course will get you up and running in 90 minutes or less.
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Does anybody know of work done on matching player ID's across different data providers?
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There is a lot of jargon in the data world, so I created this handy reference guide of over 100 key terms. It's completely free and can be accessed here;
drive.google.com
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There is a lot of jargon in the data world, so I created this handy reference guide of over 100 key terms. It's completely free and can be accessed here;
drive.google.com
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I've added another video to my Tableau for Sport Playlist. How to prepare the data for Radars.
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10 things I would do differently if I were to start data science/sports analytics over: š§® ā¬ļø
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Playing around with a second Radar extension from @appsfortableau Have overlapping Radars and they can be used as filters on Dashboard.
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Different Extension this time, but this one allows overlapping radars.
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Well worth a read. How to learn the skills to work in sports analytics, by @mckayjohns
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