NASCAR heads to Chicagoland for the first race of the 2017 NASCAR Playoffs. As usual, I’ll give you my NASCAR DFS picks and model projections along with ownership projections for Chicagoland.

NASCAR makes its way back to Richmond for the second time this year, and for the regular season finale. As usual, I’ll give you my NASCAR DFS picks and model projections along with ownership projections for Richmond.

This weekend NASCAR heads to Darlington for the Southern 500. Darlington is a 1.336-mile steep track known for the famed “Darlington Stripe,” which results from a driver brushing the outside wall. As usual, I’ll give you my NASCAR DFS picks and model projections along with ownership projections for Darlington.

This weekend NASCAR heads to Bristol for the Bristol night race. One of the most action-packed tracks, Bristol is a half-mile concrete track that’s steeply banked. As a short bullring, Bristol presents many opportunities for beating and banging, and with three races to go before NASCAR’s playoffs, it could be a

We’re back to a normal weekend. As usual, I’ll give you my NASCAR DFS picks and model projections for Michigan. Ownership percentage projections will be back too, which is nice!

I’m here to help you all with morning qualifying and my model for the NASCAR DFS Watkins Glen slate. Make sure to tune into RotoViz Live for my LIVE NASCAR DFS show during qualifying. I will also update this article with my NASCAR DFS

This has to be a quick post, because I’m off at a wedding this weekend, but here is the NASCAR DFS Watkins Glen model after practice. I’ve added in a predicted starting position, which is also algorithmic based, just so we can have some semblance of how drivers might fare

I’m here to help you all with morning qualifying and my model for the NASCAR DFS Pocono slate. Make sure to tune into RotoViz Live for my LIVE NASCAR DFS show during qualifying. I will also update this article with my NASCAR DFS Picks after each round of

NASCAR’s two practice sessions have concluded today. I have some practice notes and speeds from each session, and my post-practice NASCAR DFS Pocono model. The model will be great to identify the best cars this weekend, so that when qualifying comes we can pick out the chalk as well as

To get the early jump on NASCAR DFS Pocono this weekend, I used my machine learning model to generate expected finishing position for each driver just based off their driver attributed and performance histories this year and at similar tracks. This let’s us create a power ranking for each driver