As some of you know, in these type of leagues, I calculate something called the "Cookie Factor". Basically, the cookie factor measures how many players on your roster are widely popular "cookies". If you are the only person to select a player, that player's factor is 1.0. If everybody selects the same player, that player's factor is 12.0. By taking a weighted average (weighted by salary) of all 25 players on your roster, I get your team's cookie factor. The higher the number, the more "cookies" you have. I did this for each team. The table is posted below. Note that I also averaged each owner's cookie factor, but to be fair, I also had to take into consideration the decades each person is playing in. The ratio represents the owner's cookie factor divided by the expected cookie factor (based on his decade selection). Over 100% means more cookies than average. I left the order based on partnership groupings.
1/16/2017 9:40 AM (edited)