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 purely based off the most accurate model fits possible, and with no subjectivity. This way we can find early value plays, as well as the top expected performers this weekend at Pocono.
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