Skate Analytics

Areas of Development

  • Data recording methods
    • Hits/Misses
    • SKATE rules of trick acceptance/rejection/redo
    • Omits
    • Discouragement @ Odds
      • Possible role as measures of confidence/closeness to success in advance of full hits
  • Data modeling (trick name given (often shorthand) => actual trick)
  • Between-Period comparisons for individual skater
    • Show graphs of distributions
    • Quantile comparisons
    • % of times that Period t < Period t+1 across multiple worlds (how many?)


  • Setup code that retrieves the list of tricks that are eligible for comparison across time periods (given). (A & B > 0), and that both periods' A & B are not equal (redundant comparison, as perfectly equal).