Objective League Ratings - JD Powers Style

[DazedAndAmused]

If you have any more ideas on the grading system, please contribute. Runninref suggests officiating as part of the system. Scores updated from the winter season results and 2007 summer season. After time for some input, this data and methodology will be put together in grid form and posted to a web site. The data will speak for itself.

Dleague - Overall Score: 99

Objective:
-game play rate - excluding weather related cancellations(weight: 25%) 25
-average attendance (weight: 20%) average of 2K or more to achieve all pts 20
-average salary (weight: 10%) average of 2k/mo per play to achieve all pts 10
-teams that stay from previous year (weight: 10%) 9
-# of D1 players per roster (weight: 5%) 5

Last 3 more subjective:
-peripheral issues - eg, complaints of players not getting paid, no underperformers (weight: 10%) 10
-innovation - eg, technology use and deployment (weight: 5%) 5
-marketing - eg, national sponsors, high profile officers/board members/commissioners, tv presence (weight: 5%) 5

CBA - Overall Score: 82

Objective:
-game play rate - excluding weather related cancellations(weight: 25%) 22
-average attendance (weight: 20%) average of 2K or more to achieve all pts 15
-average salary (weight: 10%) average of 2k/mo per play to achieve all pts 10
-teams that stay from previous year (weight: 10%) 7
-# of D1 players per roster (weight: 5%) 5

Last 3 more subjective:
-peripheral issues - eg, complaints of players not getting paid, no underperformers (weight: 10%) 5
-innovation - eg, technology use and deployment (weight: 5%) 5
-marketing - eg, national sponsors, high profile officers/board members/commissioners, tv presence (weight: 5%) 3


PBL - Overall Score: 74

Objective:
-game play rate - excluding weather related cancellations(weight: 25%) 24
-average attendance (weight: 20%) average of 2K or more to achieve all pts 12
-average salary (weight: 10%) average of 2k/mo per play to achieve all pts 8
-teams that stay from previous year (weight: 10%) 10
-# of D1 players per roster (weight: 5%) 4

Last 3 more subjective:
-peripheral issues - eg, complaints of players not getting paid, no underperformers (weight: 10%) 8
-innovation - eg, technology use and deployment (weight: 5%) 3
-marketing - eg, national sponsors, high profile officers/board members/commissioners, tv presence (weight: 5%) 5

IBL - Overall Score: 53

Objective:
-game play rate - excluding weather related cancellations(weight: 25%) 20
-average attendance (weight: 20%) average of 2K or more to achieve all pts 5
-average salary (weight: 10%) average of 2k/mo per play to achieve all pts 4
-teams that stay from previous year (weight: 10%) 9
-# of D1 players per roster (weight: 5%) 3

Last 3 more subjective:
-peripheral issues - eg, complaints of players not getting paid, no underperformers (weight: 10%) 8
-innovation - eg, technology use and deployment (weight: 5%) 4
-marketing - eg, national sponsors, high profile officers/board members/commissioners, tv presence (weight: 5%) 1

ABA - Overall Score: 27

Objective:
-game play rate - excluding weather related cancellations(weight: 25%) 9
-average attendance (weight: 20%) average of 2K or more to achieve all pts 3
-average salary (weight: 10%) average of 2k/mo per play to achieve all pts 3
-teams that stay from previous year (weight: 10%) 2
-# of D1 players per roster (weight: 5%) 3

Last 3 more subjective:
-peripheral issues - eg, complaints of players not getting paid, no underperformers (weight: 10%) 0
-innovation - eg, technology use and deployment (weight: 5%) 4
-marketing - eg, national sponsors, high profile officers/board members/commissioners, tv presence (weight: 5%) 3

[preeths]

I like it. Of course, people can quibble with the scores of the individual components for each league's score, but I believe the overall scores give a pretty accurate picture of the overall minor league basketball landscape.

[DazedAndAmused]

I like it. Of course, people can quibble with the scores of the individual components for each league's score, but I believe the overall scores give a pretty accurate picture of the overall minor league basketball landscape.

hopefully, the idea is to eliminate most of the quibbling by focusing on the objective things that we can count and calculate. to be fair, we need a mean and a standard deviation of some of the objective data as well to really show it accurately, but this is a start. i'd like feedback on the scoring system itself and any hard data that supports a score other than what i calculated from my research last year.