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November 12, 2026
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Sports · National

Knicks Host Bucks in 15.5-Point Mismatch

New York leads 5-4 after three straight double-digit wins while Milwaukee sits at 1-9 and has lost six in a row.

By Aiko Petrov ·

Illustration for: Knicks Host Bucks in 15.5-Point Mismatch
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New York Knicks are 15.5-point favorites over the Milwaukee Bucks on Tuesday night at Madison Square Garden. The home team has won its last three games by double-digit margins, including a 109-97 victory over Cleveland on Saturday. The Knicks currently hold a 5-4 record.

The Bucks enter the game with a 1-9 record, tied for the worst in the league. Milwaukee has dropped its last six contests. The visiting team played on Sunday, giving them one less day of rest than New York, which played on Saturday. Tipoff is scheduled for 7:30 p.m. ET.

Injuries could affect both rosters. Milwaukee's Tyler Herro is listed as questionable with a knee issue, while New York's Josh Hart is questionable due to an ankle problem. This is the first matchup between the two teams this season. The Knicks have won seven of the last eight meetings between the clubs.

The total points line for the game is set at 220.5. SportsLine's projection model recommends betting on the over. The model notes that the Knicks are averaging 114.6 points over their last five games, up from 104 points per game in their first four. Four of the last five meetings between these teams have gone over the total.

Milwaukee's defensive struggles support the high-scoring projection. The Bucks rank in the bottom three in both points allowed per game and defensive rating. They also force the fewest turnovers per game in the league. The model forecasts 11 players will score more than nine points in this contest.

The SportsLine model simulates every game 10,000 times. It has returned nearly $19,000 in profit for $100 players on top-rated NBA picks since 2018. The model is currently on a 28-12 record for top-rated spread picks in the current season. The over connects 53% of the time according to the simulation data.

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