All posts by Marc Richards

Team Defense Projections – Week 3

Below are our projected Team Defensive Fantasy Points (based on ESPN Standard Scoring) for Week 3 of the 2017 NFL Season. These projections are from a model that takes into account a number of variables including team and player offensive and defensive metrics, situational factors in the game (such as, indoors or outdoors, divisional game, days of rest, and more), and lastly overall team rating measured by statistics such as our Elo Ratings. Continue reading Team Defense Projections – Week 3

2017 NFL Win Totals and Elo Ratings

Below is a table of our 2017 NFL projected win totals and Elo Ratings (heading into Week 3). Rank is based upon each team’s Projected Win Total for the remainder of the season, which is derived from our NFL Season Simulator. The standard deviation associated with each team’s Projected Win Total is denoted SD. Tune in for weekly updates to these figures throughout the 2017 NFL Season. Our NFL Season Simulator Methodology and Elo Rating Methodology articles provide further explanation in how we calculate our Projected Win Totals and Elo Ratings, respectively.

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Team Defense Projections – Week 2

Below are our projected Team Defensive Fantasy Points (based on ESPN Standard Scoring) for Week 2 of the 2017 NFL Season. These projections are from a model that takes into account a number of variables including team and player offensive and defensive metrics, situational factors in the game (such as, indoors or outdoors, divisional game, days of rest, and more), and lastly overall team rating measured by statistics such as our Elo Ratings. Continue reading Team Defense Projections – Week 2

Team Defense Fantasy Projections – Week 1

Below are our projected Team Defensive Fantasy Points (based on ESPN Standard Scoring) for Week 1 of the 2017 NFL Season. These projections are from a model that takes into account a number of variables including team and player offensive and defensive metrics, situational factors in the game (such as, indoors or outdoors, divisional game, days of rest, and more), and lastly overall team rating measured by statistics such as our Elo Ratings.

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The Predictive Value of NBA Summer League: NBA Rookies

Every July since 2004, a couple hundred NBA hopefuls have gathered in Orlando, Utah, and Las Vegas to compete in 5-6 junk ball basketball games known as the Summer League.  Whether you’re an NBA operations analyst or just a fan, NBA Summer League provides another opportunity to see a player—or in our case, another data point to project a player. But how much should we really take away from a few junk ball games in the beginning of July? Or, in “statistical” terms, what is the predictive value of summer league for a player’s actual NBA Performance? This analysis seeks to provide insights into how historical Summer League performances have related to NBA performances. More specifically, we’ll seek an answer to questions such as: how much can NBA Summer League performance tell us about overall rookie performance? How about second-year returning players? What should we take away, if anything, from these varying levels of performance in Summer League? In this article, I will focus solely on NBA rookies, providing meaningful data points and inferences about which statistics best translate from Summer League to NBA Rookie Season.
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Prospect Profile: Lauri Markkanen

Leading up to the 2017 NBA Draft, we will be diving into what our Draft Models tell us about this year’s top prospects. Our NBA Draft Models include the PNSP Model, NBA Role Probability Model, and Similarity Scores which each provide unique ways of evaluating college prospects. Our Prospect Profiles look at which stats positively/negatively affect NBA projections, unique data points from a player’s stats, and relevant comparisons to current NBA players. You can find links to all of our Prospect Profiles in the header menu above (NBA –> NBA Draft –> Prospect Profiles). In this article, we look at Finnish-born Arizona product Lauri Markkanen.

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