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Brown vs. Yale odds, line: 2024 Ivy League Tournament final picks from proven model

SportsLine's model has locked in its best bets for Sunday's 2024 Ivy League Tournament final between the Brown Bears and Yale Bulldogs

By@SportsLineUpdated: Mar 17, 2024 2:18PM UTC . 2 min read

The No. 2 seed Yale Bulldogs (21-9) face the No. 4 seed Brown Bears (13-17) in the 2024 Ivy League Tournament final Sunday. Tipoff is set for noon ET at Levien Gymnasium in New York. The Bulldogs are 8-point favorites in the latest Brown vs. Yale odds via SportsLine consensus and the over/under is 135.

Before entering any Brown vs. Yale picks, you NEED to see the NCAA Basketball predictions from the model at SportsLine.

The model simulates every Division I college basketball game 10,000 times. It enters 2024 conference championship week on a 145-104 roll on all top-rated college basketball picks dating back to last season, returning more than $1,700 for $100 players. It also has a strong 28-18 (+820) record on top-rated spread picks this season. Anyone following has seen HUGE returns!

The model knows sophomore forward Danny Wolf is one of five Bulldogs averaging double-figure scoring. He posted a double-double with 19 points and 10 rebounds in Saturday's 69-57 win over Cornell in the semifinals. In the season finale, an 84-81 overtime loss to Brown on March 9, he scored 12 points, while grabbing seven rebounds and adding two assists and one steal. He has registered 14 double-doubles on the year.

The model also knows Brown junior guard Kino Lilly Jr. has continued his dominant play and is coming off a double-double in Saturday's semifinal win over top-seeded and defending champion Princeton. In 39 minutes of action, Lilly scored 27 points, while dishing out 10 assists and grabbing three rebounds. He had 26 points, four assists and three rebounds in the win at Yale on March 9. In two games against the Bulldogs, Lilly is averaging 24.5 points, four assists and 3.5 rebounds in 40.5 minutes.

The model has simulated Brown vs. Yale 10,000 times and the results are in. We can tell you that the model is leaning Over, and it's also generated a point-spread pick that is hitting in nearly 60% of simulations. 

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