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How to Win Your March Madness Bracket With Analytics鈥慏riven Strategies

Your strategy to win the brackets will differ based on the number of people playing and the format of your contest.
Keith Kobland March 11, 2026

As college basketball fans prepare to fill out their March Madness brackets next week, one professor says the choices people make often have less to do with probability, and more to do with human nature.

, an associate professor in the Department of Sport Analytics, has studied how fans make decisions in wagering environments. He says the same behavioral patterns show up every March in bracket pools, where millions of Americans try to outguess each other and the NCAA Tournament.

鈥淭he biggest thing I鈥檝e found is that people pick with clear and obvious biases,鈥 Losak says. 鈥淔ans tend to favor teams they鈥檙e familiar with, regional teams, conference opponents or teams their school has played. Even a single game can create a sense of familiarity.鈥

That familiarity can cut both ways. A fan whose team lost to a tournament contender may overestimate that contender鈥檚 strength. Conversely, a fan might downgrade a top team that struggled against their school.

鈥淚t鈥檚 very normal,鈥 he says. 鈥淲hen someone feels like they 鈥榢now鈥 a team, even from one game, they鈥檙e more inclined to pick them, for better or worse.鈥

Head vs. Heart: Which Wins?

Every year, bracket鈥慺illers debate whether to trust their gut or stick to logic. According to Losak, the answer is clear, at least from a statistical standpoint.

鈥淕ut and heart are not going to win you more money than logic,鈥 he says. 鈥淭hey can win you one bet by chance, but not consistently.鈥

In traditional betting markets, Losak personally looks for places where the public is biased and goes the opposite direction. 鈥淚f my gut says there鈥檚 no way the over can hit, and I know lots of people feel that way, that tells me there鈥檚 bias in the line. I鈥檒l bet the over,” he says.

Bracket contests operate differently. Even so, the principle of avoiding conventional wisdom still applies.

In Bracket Pools, Pool Size Matters

One of Losak鈥檚 strongest pieces of advice: your strategy should change depending on how many people you鈥檙e competing against.

鈥淚n a large pool, you need to be contrarian,鈥 he says. 鈥淚f you go chalk鈥攑icking the higher seed in every matchup鈥攜ou can鈥檛 win. Even if the favorites all advance, too many other people will have the same bracket.鈥

In smaller pools, however, Losak advises exactly the opposite.

鈥淚f you鈥檙e only playing against five or 10 people, go chalk the entire time,鈥 he says. 鈥淟et everyone else take the risky upset picks. You give yourself a better probability of winning by staying conservative.鈥

For very large contests, he recommends resisting the instinct to choose a No. 1 seed to win the national championship.

鈥淵ou will not win a very large pool if you pick a one鈥憇eed,鈥 he says. That鈥檚 because No. 1 seeds are massively overselected relative to their actual probability of winning.

Instead, Losak encourages bracket鈥慺illers to consider strong two鈥 or three鈥憇eeds that fewer people are selecting. 鈥淚f that team wins it all, you may only need that one thing to happen,” he says. “You鈥檙e not fighting dozens of identical brackets.鈥

Smart Upsets and This Year鈥檚 Field

Losak cautions fans not to hunt for upsets simply because of historical patterns like the popular 5鈥12 matchup.

鈥淒on鈥檛 pick an upset just because it鈥檚 a 12鈥5,鈥 he says. 鈥淟ook at betting markets the first weekend鈥攖hey鈥檙e a great guide. Sometimes the spread will show you a matchup that鈥檚 closer than the seed line suggests.鈥

As for 2026鈥檚 field, Losak doesn鈥檛 see a dominant favorite. He suggests Duke may be overselected as the likely No. 1 overall seed, and says teams like Michigan or Arizona could be smart alternatives depending on pool size. He also predicts an early exit for Nebraska despite a likely top鈥慺our seed.

Final Thought

At the end of the day, even experts get humbled by March Madness.

鈥淢y wife doesn鈥檛 watch college basketball all year and she beats me most years,鈥 Losak says. 鈥淏ut if you understand biases, and play your pool size strategically, you give yourself a real edge.鈥

Faculty Expert

Associate Professor
Sport Analytics

Media Contact

Keith Kobland
Associate Director
Media Relations