Giannis and the Milwaukee Bucks head to Madison Square Garden to square off with the New York Knicks.
Before Betting on Milwaukee Bucks vs. New York Knicks
The Bucks have lost at home to the Charlotte Hornets in the most recent event, 138-109. Milwaukee allowed 51 points in the opening period, scoring 28, and that was, without a doubt,, the worst quarter in the franchise’s recent history.
Giannis had nine points in 22 minutes, with zero assists and four boards. The best scorers for the Bucks were Grayson Allen with 12 buckets and Jrue Holiday with the same number of points.
On the other side are the New York Knicks, who have four wins in a row, beating the Rockets, the Suns, Spurs, and the Raptors, which was in Canada, 112-108.
We’ve seen them very adaptable and fluid in all the games, against the teams who either are below the playoff line or have problems with injured players. The triumph in Canada is a big boost for the Knicks, who won there eight years ago. Julius Randle ended the night with 32 points and 11 boards, Jalen Brunson scored 26, and Mitchell Robinson added 10 points and 16 boards.
Milwaukee Bucks vs. New York Knicks NBA Offshore Odds
Offshore Sportsbook | Moneyline | Total | Spread |
---|---|---|---|
BetOnline | Bucks (1.78) | Knicks (2.08) | 221.5 | Bucks -2 (1.91) | Knicks +2 (1.91) |
Bovada | Bucks (1.77) | Knicks (2.10) | 221.5 | Bucks -2 (1.91) | Knicks +2 (1.91) |
BetUS | Bucks (1.78) | Knicks (2.08) | 221.5 | Bucks -2 (1.91) | Knicks +2 (1.91) |
SportsBetting.ag | Bucks (1.81) | Knicks (2.12) | 221.5 | Bucks -2 (1.91) | Knicks +2 (1.91) |
Pinnacle | Bucks (1.75) | Knicks (2.09) | 221.5 | Bucks -2 (1.95) | Knicks +2 (1.95) |
MyBookie | Bucks (1.78) | Knicks (2.08) | 221.5 | Bucks -2 (1.91) | Knicks +2 (1.91) |
The Knicks are in good shape, but the Bucks are a better team and they want to show that following a very nasty loss at home against the Hornets. We believe that Giannis and the boys have the power to beat the Knicks for the third time this year. It’s already 2-0 for the Bucks in the seasonal series.