NBA Playoff Simulator
An interactive NBA Playoff Simulator that allows users to decide which statistics are most important to them. Data calculations are done using a Monte Carlo simulation, in which over 40 Million computations are made on each iteration of the simulation to create more realistic data. The data is processed through the Monte Carlo randomizer using 100,000 random values in an appropriate range for each player. All of the stats are normalized to values between 0 and 1 and condensed into one value for each team where each stat is weighted by the user's input.
Project Members: Liam Neville