How We Used Monte Carlo Simulation to Solve the Best Ball League Puzzle

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AJ Bessette and Greg Meade

DFS Contrarian

Monte Carlo Strategies to Win 2016 MFL10s – Part I

AJ Bessette and Greg Meade July 12, 2016

Editor’s note: This is one of two Monte Carlo simulation articles aimed at solving the best-ball puzzle, each using different assumptions. We believe doing so gives a good idea of the range of possible outcomes. For the other article by Nick Giffen (@RotoDoc), click here…. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here...

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Monte Carlo Strategies to Win 2016 MFL10s – Part I

AJ Bessette and Greg Meade July 12, 2016

Editor’s note: This is one of two Monte Carlo simulation articles aimed at solving the best-ball puzzle, each using different assumptions. We believe doing so gives a good idea of the range of possible outcomes. For the other article by Nick Giffen (@RotoDoc), click here…. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here...

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