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Cookbooks

Worked analyses on real data. sportsdataverse-py loads it, sdvplot brings team colors and logos, and sportypy draws the surface and bins the data onto it. Each cookbook is a Jupyter notebook in examples/notebooks, shown with the output of its last run: open it in Colab or download it to run it yourself.

NBA shot quality: Where the best and worst shooting teams beat the leagueWhere the best and worst shooting teams beat the leagueNBA shot quality NHL expected goals: One team's shot profile against the leagueOne team's shot profile against the leagueNHL expected goals

Every cookbook​

  • NBA shot quality: Every 2025-26 NBA shot binned on sportypy's court: where the league shoots, what each distance is worth, and where the best and worst shooting teams beat or trail the league.
  • NHL expected goals: Every 2025-26 NHL unblocked shot on sportypy's rink: where shots and goals come from, how well fastRhockey's expected goals model is calibrated, a team's shot profile against the league, and the season's best finisher.