Special thanks to BenBrostoff. I currently use data from fantasyfootballanalytics.net as the criteria to optimize on.

Pre-reqs:

• ortools

To run: Place dk-salaries.csv(from draftkings) and FFA-CustomRankings.csv( from fantasyfootballanalytics.net) in ./data folder

./optimize.py 

Arguments can also be passed to run the optimizer multiple times while eliminating previous solutions. For instance, to run three different iterations and generate three different optimal rosters:

./optimize.py -i 3

To do:

• More data
• More constraints
• Support Different Start Times from one salary csv
• Different tuned solvers for specific DFS game types ie. GPP , H2H
• Optimal Bankroll Management and game mix