This is the seventh of a series of posts about the next evolution in valuing players for fantasy football. Just as value based drafting (VBD) corrected many of the errors in drafting by pure points scored, Random Win % (RW%) corrects many areas which VBD does not address easily. The end result - better drafts, more wins, and more championships!
Now that we know how to calculate RW%, we want to find the best way to maximize our total RW% on draft day. Let's assume that we have the season RW% for each player. How do we use this info to draft the best possible team?
We might start by drafting the player with the highest RW%. However, we find that just like drafting the player who scores the most points, this isn't always the best strategy. Our old pal VBD to the rescue! By using a baseline for each position and calculating the highest RW% compared to the baseline, we can select the player that will increase our chances of winning the most. I won't go into the different theories of dynamic baselines, etc, yet a search on VBD will give you a wealth of information you can apply.
That concludes my overview of RW%. As the season progresses, I plan to use RW% to review my drafts, discuss in-season performance, and as a starting point for related FF topics. Please let me know in the comments or through email/Google+ of any thoughts, questions, or improvements to this approach. Good luck this coming season!
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