The Toronto Raptors (30-14) will attempt to continue their five-game winning streak against the New York Knicks (12-33) at Madison Square Garden. The game can be seen on CTV Sportsnet Toronto at 7:30 p.m. ET on Friday, January 24, 2020.
Toronto is a 7.5-point favorite on the opening line, while the Over/Under (O/U) for the game opened at 215.5 points at DraftKings Sportsbook.
Toronto Raptors vs. New York Knicks ATS Prediction
The Raptors will be hoping for a similar result after covering the 6.5-point spread against the Philadelphia 76ers in their last matchup, 107-95. The total points for the game (202) came in under the O/U total of 215. The Raptors held the 76ers to an offensive rebounding percentage of 15.1 (below their season average of 23.9) and had an effective field goal percentage of 0.541 (above their season average of 0.529). Pascal Siakam played a key role for Toronto with 18 points and 15 rebounds.
In the Knicks’ last game, they were beaten by the Los Angeles Lakers, 100-92, but did cover as 11.5-point underdogs. The game’s combined points (192) came in well under the O/U total of 223.5. Getting to the free throw line was one of Los Angeles’ biggest strengths. They had 28 free throw attempts, while New York had just 13. With 16 points, eight rebounds and six assists, Julius Randle had a good performance for New York.
This will be the second game of the season between these two teams. Siakam scored a game-high 31 points in the first matchup, in which the Raptors defeated the Knicks 126-98, covering as 9.5-point favorites. He also put up eight rebounds. The game finished with a total of 224 points, which was 14 points above the projected point total of 210 points. The Raptors had a better turnover percentage (10.6 vs. 15.4) and had a much better effective field goal percentage (0.601 vs. 0.443).
Toronto holds records of 30-14 straight up (SU) and 24-19-1 against the spread (ATS). Raptors games have gone over the projected point total 52.3 percent of the time.
Meanwhile, New York is 12-33 SU and 22-22-1 ATS. Of the Knicks’ 45 games, 27 have finished under the projected point total.
New York might have a tough time finding the bottom of the net as they battle against one of the league’s best defenses. Toronto ranks second in defensive efficiency, while the Knicks rank 28th in offensive efficiency.
Toronto Raptors vs. New York Knicks Betting Pick
NBA Pick: ATS Winner – Raptors, O/U – Under
On the road, Toronto is 11-9-1 ATS with 11 unders and 10 overs.
At home, New York is 10-11-1 ATS with 15 unders and 7 overs.
In contests where they hold opponents below 100 points, Toronto is 12-3 and New York is 4-2.
The Knicks are 11-20 when they reach 100 points, while the Raptors are 28-9.
Toronto ranks third in fast break points per game (17.8) while New York ranks 29th (10.0).
The Knicks rank fifth in second chance points per game (14.4) while the Raptors rank 25th in second chance points allowed per game (14.0).
Toronto ranks ninth in assists per game (25.5) while New York ranks 29th (21.1).
The Raptors rank seventh in three pointers attempted per game (36.2) while the Knicks rank 26th (30.0).
New York averages 46.1 rebounds per game, which ranks sixth in the NBA. Toronto ranks 25th in rebounds allowed per game (46.8).
The Raptors rank second in points off turnovers per game (20.2) while the Knicks rank 20th (16.4).
Toronto ranks second in steals per game (8.6) while New York ranks 17th (7.6).
The Raptors rank 18th in points in the paint per game (47.0) while the Knicks rank 26th (45.0).
Toronto averages 5.1 blocks per game, which ranks 13th in the NBA. New York ranks 17th in blocks allowed per game (5.1).
In its last five games, Toronto is 4-1 ATS with 4 overs and 1 under.
New York is 3-2 ATS with 5 unders over its last five games.
The Raptors’ average margin of victory in their last five games has been 13.0, up from 6.0 for the season.
During their last five games, the Knicks have scored an average of 97.0 points per game (7.0 below their season average) and allowed an average of 105.0 points per game (7.0 below their season average).