I will update this weekly, along with the yearly totals.
The plan is to take my own player ratings (weighted towards the primary function of a player's role) and then, with some background math, convert that to a score out of 10 compared to the average player rating in that role across the comp.
If a player serves multiple roles, it will be split across that game time or adjusted for reduced game time.
Then, one more bit of math to adjust that score, based on the likely percentage that players take up of the salary cap (Bottom 33%, middle 33% and top 33%).
10 = Carried the team, rare air role execution and impact on the result
9-8 = Elite - Role execution and impact on the result
7-6 = Good - Above Average - Role execution and impact on the result
5 = Average - Role execution and impact on the result
4-3 = Below Average - Role execution and impact on the result
2-1 = Poor - Role execution and impact on the result
image.png
The plan is to take my own player ratings (weighted towards the primary function of a player's role) and then, with some background math, convert that to a score out of 10 compared to the average player rating in that role across the comp.
If a player serves multiple roles, it will be split across that game time or adjusted for reduced game time.
Then, one more bit of math to adjust that score, based on the likely percentage that players take up of the salary cap (Bottom 33%, middle 33% and top 33%).
10 = Carried the team, rare air role execution and impact on the result
9-8 = Elite - Role execution and impact on the result
7-6 = Good - Above Average - Role execution and impact on the result
5 = Average - Role execution and impact on the result
4-3 = Below Average - Role execution and impact on the result
2-1 = Poor - Role execution and impact on the result
image.png
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