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In yesterday’s post, I walked through the use of a state-space model to evaluate NHL team strength over the course of an NHL season. But analyzing team strength is just the start of how we can use this type of framework to analyze betting market data in sports. In today’s post, I’ll ask a different question – What team had the best home advantage? And did perceptions of any teams (cough cough, Vegas) change over the course of the season?



I’ve taught the following courses at Skidmore College:

  • MS 104: Intro to Statistics
  • MS 204: Statistical Methods (Github)
  • MS 210: Data Visualization and storytelling (Github)
  • MA 204: Probability (Github)
  • MS 276: Statistics and Sports (Github)
  • MS 376: Mathematical Statistics
  • MS 240: Regression