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  • NFL
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    • Metrics
      • Adjusted Passer Rating
      • Completion Percentage Over Expectation
        • Advanced
          • Cumulative Data
          • Single-Season Data
        • Basic
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  • NBA
    • Articles
    • Metrics
      • XeFG%
        • 2020-21
        • 2019-20
        • 2018-19
        • 2017-18
        • 2016-17
        • 2015-16
        • 2014-15
        • 2013-14
      • DXeFG%
        • 2020-21
        • 2019-20
        • 2018-19
        • 2017-18
        • 2016-17
        • 2015-16
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      • DPS
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NBA

National Basketball Association

NBA

The Most Improbable Finals Runs In NBA History

Posted onJuly 17, 2021July 17, 2021

The history of the NBA is filled with juggernaut teams, but occasionally a surprise contender wins it all. Here are some of the most unlikely Finals runs.

NBA

The Imminent Rise of Shai Gilgeous-Alexander

Posted onApril 27, 2021April 29, 2021

In his third season as a pro, 22-year-old guard Shai Gilgeous-Alexander is showing flashes of greatness for the rebuilding Oklahoma City Thunder.

NBA

Using Social Media To Assess NBA Team Popularity in the 2019-20 Season

Posted onFebruary 28, 2021May 2, 2021

Which teams did NBA fans most enjoy seeing win or lose in the 2020 regular season? We can answer this question by analyzing data from Reddit.

NBA

Alvan Adams, the Original Modern Big Man

Posted onNovember 27, 2020April 15, 2021

You may not have heard of Suns center Alvan Adams before, but you’ve likely seen aspects of his game while watching the league’s current best big men.

NBA

Jamal Murray’s Historic Postseason Run

Posted onOctober 10, 2020October 13, 2020

Jamal Murray’s performance in the 2020 playoffs propelled the Nuggets to a Western Conference Finals appearance behind a string of legendary comebacks.

NBA

Analyzing NBA Lineups With Player Classifications, Part II

Posted onJune 5, 2020June 5, 2020

I recently used machine learning to create a new system for classifying NBA players. Now, this system can be used to analyze and optimize five-man lineups.

NBA

Analyzing NBA Lineups With Player Classifications, Part I

Posted onJune 4, 2020June 4, 2020

I recently used machine learning to create a new system for classifying NBA players. Now, this system can be used to analyze and optimize five-man lineups.

NBA

Determining NBA Player Similarity Through Cluster Analysis

Posted onJune 3, 2020June 3, 2020

Which NBA players are the most similar to one another? This question can be answered through the use of hierarchical agglomerative clustering (HAC).

NBA

Using Machine Learning to Classify NBA Players, Part II

Posted onMay 31, 2020November 12, 2021

The traditional five position system of classifying NBA players is getting outdated. Let’s use machine learning to learn more about what sets players apart.

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