Well, the stats aren't up yet for the eigth, but I don't think there will be much of a difference. I've populated the sheet with the last 30 days of stats for the top six teams and changed the way I'm averaging the dailies to project forward. The inevitable seems unavoidable.
I am now taking a 28 day r.m.s. average after throwing out the highest and lowest daily stats for the preceding 30 days. My hope is to exclude flushes and "bad days", and get a more robust average of how a team is performing.
As of 10/7 it's looking like:
Oct. 12 - DCP takes 3rd. 😕
Nov. 5 - TA takes 1st! 😀😎
Dec. 17 - Russian Team takes 4th.
Dec. 26 - DCP takes 2nd. 🙁
Jan. 12 - Hack Zone takes 5th.
Feb. 11 - DCP takes 1st. :|
I am now taking a 28 day r.m.s. average after throwing out the highest and lowest daily stats for the preceding 30 days. My hope is to exclude flushes and "bad days", and get a more robust average of how a team is performing.
As of 10/7 it's looking like:
Oct. 12 - DCP takes 3rd. 😕
Nov. 5 - TA takes 1st! 😀😎
Dec. 17 - Russian Team takes 4th.
Dec. 26 - DCP takes 2nd. 🙁
Jan. 12 - Hack Zone takes 5th.
Feb. 11 - DCP takes 1st. :|
