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Stochastic simulation of March Madness

Oliver Beckstein edited this page Apr 6, 2016 · 1 revision
  • Layne Bradshaw
  • "Monte Carlo" stochastic simulation of March Madness 2016 tournament
  • How often does every team win? How often will the n-seeded win?

Approach

  • gather stats (win/loss, historical, seeding, ....)
  • simulate matches and decide who wins through random numbers
  • simulate whole tournament repeatedly

Objectives

  1. gather stats
  2. simulate individual games
  3. run through all 64 games
  4. run production (many times)
  5. compare to real results

Q&A

  1. How accurate can you be? What would count as success? Predicting the winning team on average.
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