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The madness of March is here. College basketball teams from across the nation are preparing to battle it out on the courts, to soundly beat their competition or pull unfathomable upsets. The mantra of “survive and advance” in the nation’s most watched and followed single elimination college basketball tournament is what every coach has on their mind.
Fans have organized office pools to see whose bracket picks the most upsets or the most overall winners, with some keeping the focus on the Round of 64 games this Thursday and Friday. “March Madness flu” used to be why people called in sick on those days. Yet with an app available to cover every game, the biggest casualty of the tournament on these days is lost productivity in the workplace.
Artificial Intelligence systems use data, something that the 39 years of tournaments since 1985 offer an abundance of. This is when the tournament went to its 63-game format. With all such data, shouldn’t an AI system be able to pick the winner of every game?
The simple answer is, no. Every game is a complex combination of possessions and player interactions, with each such interaction carrying uncertainty. This means that every top ranked team, the so-called Goliaths seeded No. 1 or No. 2, can be upset by the Davids in the field, those seeded No. 15 or No. 16.
Just ask the University of Virginia in 2018, when they lost as a No. 1 seed to No. 16 University of Maryland Baltimore County, or Purdue in 2023, when they lost as a No. 1 seed to No. 16 Fairleigh Dickinson University.
No. 15 seeds have enjoyed more success, with 11 wins in 156 games since 1985. However, seven of those 11 upsets have occurred since 2012. No AI system can reliably find such “needles in haystacks.”