12/11/13 MN Hub/LPH rankings?
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LSQRANK 22-DEC-2013
LSQRANK 22-DEC-2013 Minnesota High School Girls League Class A & AA
LSQRANK is a numerical ranking system that performs a least squares best fit
of IN-season data of performance based measurable attributes between sports teams. This program adapts adjustment computation methods developed for spatial data analysis to the science of sports performance ranking. Algorithms are employed to compute composite margin of victory scores (MOV) and observation weights that are used to build the reduced Normal Equation Matrices. The solution of the equations is an iterative solution using the Cholesky solution algorithm. The solution to the system of observation
equations produces:
(1) LSQRANK, a relative ranking order of the given teams in the league;
(2) GD, a modelled goal differential based on rank & score;
(3) avgSS, an average strength of schedule of each team;
(4) Wi, a report of the standardized residuals of the observations.
A link to the 22-DEC-2013 rankings is:
http://www.aerogeomatics.com/aerosys/so ... C_2013.PDF
LSQRANK is a numerical ranking system that performs a least squares best fit
of IN-season data of performance based measurable attributes between sports teams. This program adapts adjustment computation methods developed for spatial data analysis to the science of sports performance ranking. Algorithms are employed to compute composite margin of victory scores (MOV) and observation weights that are used to build the reduced Normal Equation Matrices. The solution of the equations is an iterative solution using the Cholesky solution algorithm. The solution to the system of observation
equations produces:
(1) LSQRANK, a relative ranking order of the given teams in the league;
(2) GD, a modelled goal differential based on rank & score;
(3) avgSS, an average strength of schedule of each team;
(4) Wi, a report of the standardized residuals of the observations.
A link to the 22-DEC-2013 rankings is:
http://www.aerogeomatics.com/aerosys/so ... C_2013.PDF