Determine a consistency metric for each team (data from current competition only)
Idea:
calculate "line of best fit" to calculate slope ("improvement factor")
calculate variance of data against this slope line ("consistency factor")
based on CYCLES not points.
eg:
Team A: 14 - 18 - 14 - 18
slope of 0, avg = 16, consistency < 100% (didn't do the math). Predicted score: 16.
Team B: 14 - 15 - 16 - 17
slope of 1, avg = 15.5, consistency = 100%, predicted score: 18.
Determine a consistency metric for each team (data from current competition only)
Idea:
calculate "line of best fit" to calculate slope ("improvement factor")
calculate variance of data against this slope line ("consistency factor")
based on CYCLES not points.
eg:
Team A: 14 - 18 - 14 - 18
slope of 0, avg = 16, consistency < 100% (didn't do the math). Predicted score: 16.
Team B: 14 - 15 - 16 - 17
slope of 1, avg = 15.5, consistency = 100%, predicted score: 18.