We are BACK with optimal lineups from week 11 simulations! (Better Late than Never!)
Not much commentary this week, we have the sickness roaring through our household, and just had family visiting, so didn’t have much time/energy to make changes. However, I did add some plotly wrappers to some plots, inspired by Jonathan Regenstein’s blog post on IPO exploration
If you want to review the overall code for scraping and optimizing projections, the initial post is here.
We are BACK with optimal lineups from week 10 simulations!
No changes again, mainly due to work (that, you know, I get paid for),family visiting, and working on Big Data Bowl, but I have been diving deep into modeling distributions, which I think can be a big help here.
If you want to review the overall code for scraping and optimizing projections, the initial post is here.
Setup library(data.
We are BACK with optimal lineups from week 9 simulations!
Solid week last week, I broke about even, Kenny Golladay finally put on a show, and I think I’m about to manually exclude Tyler Boyd from being placed in lineups.
No changes again, mainly due to work (that, you know, I get paid for), and working on Big Data Bowl, but I have been diving deep into modeling distributions, which I think can be a big help here.
Week 8 Optimized Lineups for the DraftKings main slate.
Week 7 Optimized Lineups for the DraftKings main slate. Rough week last week, but let’s get back on the horse!
Week 6 optimizations for the DraftKings main slate
Week 5 optimizations are here, with some fancy color added to previously boring graphs!
