On this episode, Andrew explains how to use historical data and find key metrics to improve your contests.
On this episode: https://youtube.com/live/sjHMU4PYHhE
00:00 Intro
01:48 As someone who uses Contest Flashback but has never gone "deeper" than that, what's the best use of an export of the historical data?
04:18 What do "Sum" and "Geo Mean Average" mean when inputting categories? I want my metric to reflect an average distribution—what is the correct weight distribution?
19:08 Are there other metrics worth assessing in contest review that could represent a big leak to plug?
22:55 I’m still struggling to understand how to implement Geomean properly.
25:50 When late swapping for NBA on the Starter plan, what would you sort by?
28:13 In NBA late swap how do we manage exposure to player?
30:10 Is there a way to filter hockey stacks by lines?
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