[SteveGPage]

Reading through these posts, I've been playing around with what Sean said - the "+/-" concept and applying it to an individual member on the alliance. In this example - A,B, and C vs. D, E, F.

I would have one scout per team per match. The "A" team scout would record the following:

A-Off score * Number of balls scored in a trailer (including if they have "score" in their own alliance trailer to keep the score competitive and not receive the x2 or x3 penalty). This measures offensive capability.

A-Def score * Number of balls that were scored in their trailer (NOT including if they have balls scored in their trailer by their alliance partner). This measures the defensive capability, how well they avoid being scored on.

A-exc score * Number of Empty Cells exchanged for SuperCells (whether or not they scored the SC, the HP scored the SC, or the SC missed

A-AutoMode * Y/N

A-HP Eff * Low/Med/High - just a general effectiveness rating, rather than a specific shooting percentage. While the HP scoring will play a big part in the alliance scores - tracking that percentage would be a data overload for my scouting team.

So assuming a scenario where the final score is ABC = 40 and DEF = 30, but 10 points were from ABC scoring on its own alliance.

I would calculate a ranking methodology based on the following:
(AOff + BOff + COff) - (DDef + EDef + FDef) = 40
(DOff + EOff + FOff) - (ADef + BDef + CDef) = 20

Then solve via least squares. This is modelled after one of the more effective BCS algorythms called the "Massey Rating." The idea being that solving with this method we take into consideration "strength of schedule."

Let me know what you think and if you have any suggestions to modify this method. I'm planning on trying this out at the DC Regional next week.

Thanks!

Steve