Technology and Data Posts

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Following the last post which analyzed offensive positions, this is a review of the top metrics that drive player value on the defense with a specific focus on what matters when watching a game. Read more
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A review of the top metrics that drive player value on the offense with a specific focus on what matters when watching a game. Read more
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A quick comparison of PFF offensive line blocking grades vs. ESPN's block win rates. Run and pass block win rates are a better picture of offensive line value. Read more
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Automating scraping of NFL team data from PFR's site using Python. Output data includes team records, PF/PA, strength of schedule, DVOA, and playoff and Super Bowl teams. Read more
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ProFootball Reference's Approximate Value (AV) is a great NFL analytics measure of player value. AV, similar to baseball’s WAR or basketball’s PER metrics, puts a single value on a player’s season. Here I use Python to create an NFL data set. Read more