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Reedy For the Big Time: Rookie Wide Receiver Jayden Reed Ought to be a Serious Consideration for Your Fantasy Football Team

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Although Fantasy Football is highly popular among sports fans, I personally have never taken up much of an interest in it. That being said, as I have steadily improved my sports analytics skills over the past several months, it seemed like a relevant area of application. Thus, the prospect of implementing machine learning to predict fantasy points that will be accumulated by rookie wide receivers this upcoming season was rather enticing.

From Formidable to Floundering: The Decline and Possible Resurrection of Wolverhampton Wanderers’ Defense

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Back in 2016, fans of Wolverhampton Wanderers Football Club seemingly could only look to the distant past for comfort. After spending only four of the last 30 odd seasons in the English top flight, it seemed as if this club would remain a second division side for years to come. However, with the Fosun International takeover that summer, Wolves was provided with a financial backing beyond the wildest dreams of its supporters.

Defying Expectations: Madrid’s Miraculous Road to UCL Glory

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Real Madrid’s UEFA Champions League (UCL) triumph last season was a memorable one to say the least. Emerging victorious against the likes of PSG, Chelsea, Manchester City, and Liverpool, labeling this champion as a fluke seems rather harsh.

Machine Learning Madness: A Woeful Attempt at Predicting this Year’s NCAA Tourney

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Busted brackets are nothing new. Just ask anyone who routinely fills them out for the NCAAM Basketball Tournament. Personally, I can identify with such individuals. Year after year, my predictions never fail to disappoint. This year, however, had something different in store: the use of machine learning. Could a predictive model achieve greater success than my intuition?