Quantifying Recruit Preferences (Normalization) Topic

I am working on a super secret tool to help me out with recruiting. I am trying to quantify recruit preference in an ordinal manner as I don't know the interval ranking between them. As such I have rated the following:

Very Good: +2
Good: +1
Neutral/-: 0
Bad: -1
Very Bade: -2

I then sum these up for each player (i.e. Two "Very Goods" and one "Bad" would be a score of +3) and converted then to a positive scale and then normalized it [0,1]. I then use this as the probability that the player will want to come to my school based on the data that I have available.

My question is, using this methodology, if I have a Prestige of "B" and a competitor has a Prestige of "A" and the respective normalized probability is .75 for me and .50 for them how does this play into this probability? Is this already built into the player preferences or is there some type of scalar multiplier that exists for the level of prestige?
6/13/2020 10:38 PM
I assume a scaler comparable to a standard grading scale; A+ 100, A 95, etc
6/14/2020 6:48 AM
Quantifying Recruit Preferences (Normalization) Topic

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