image credit: jason miller, getty images
Weekly projections are presented as a rolling list in the following order:
One-Stop-Shop (all positions), QB, RB, WR, TE, K, DST, IDP
About the rankings:
1) Rankings are “scraped” from many analyst rankings
2) All rankings (typically around 50) are aggregated and weighted
3) Prior success in ranking by individual analyst determines the weight they get (all rankings are not treated equally)
4) Yes…this is as good as it gets
Enjoy…and no…you won’t see “tiers” added to my rankings. It is much more insightful to actually see the drops as cliffs or gradual from player to player with your eyes
Quick note on the dashboards:
1) You will need to click “apply” at the bottom-right of the filter pop-up for the “name” and “position” filters
2) Click outside of the pop-up to make it go away
3) Do yourself a favor if applying multiple filters- avoid mobile, as it’s not terribly user-friendly
4) The squares are a player’s median score season-to-date and the stars are the current weekly projection plus the season-to-date error. The second one essentially looks at the variance of the projection vs. the actual. The median (my preference and is in RED) and the average (in GRAY) of this value are taken as an adjustment. Projections are never perfect- so this is to bring that inaccuracy into focus and show where a player would score if they continue their past history of being an under/over performer. Note that this will get more accurate as the season progresses, as fewer data points (the current state) give more weight to outliers. That said, I’m proving the adjusted score using the median (RED) and the average (GRAY)…so give both a glance- but note that the errors will skew things the most (and these are present in the average calculation)
5) FYI: Google Chrome has a market share of 60%. With that in mind…we optimized this for Chrome
