Cavaliers vs Pacers Odds, Line, Spread: NBA Picks 2023, Feb 5 Predictions from Proven Computer Model
The Cleveland Cavaliers (32-22) and Indiana Pacers (25-29) split their first two games of the season against each other and meet for the third time on Sunday. The home team has won in both previous matchups, and Indiana will host Sunday’s showdown. Pacers guard Tyrese Haliburton has made two starts since returning after a 10-game absence (elbow/ankle) but scored just 10 points in a 4-for-12 shooting night in his last game on Friday against his former team, the Sacramento Kings .
The tip from Gainbridge Fieldhouse on where the Pacers are 17-11 this season is scheduled for 5 p.m. ET. Cleveland is favored by 5 points in the latest Pacers vs. Cavaliers odds from Caesars Sportsbook and the over/under is set at 225.5. Before entering Cavaliers vs. Pacers tips, it’s a good idea to look at NBA predictions from SportsLine’s trusted computer model.
The SportsLine projection model simulates every NBA game 10,000 times and has generated well over $10,000 in profits for $100 players for the past 4+ seasons with its top-tier NBA picks. The model enters Week 16 of the 2022-23 NBA season with a stunning 49-23 throw on all of this season’s top NBA picks, grossing nearly $2,300. Anyone following it has seen huge returns.
Now the model has Pacers vs. Cavaliers in her sights. You can go to SportsLine to see the selection. Here are some NBA betting lines for Pacers vs. Cavaliers:
- Spread Pacers vs. Cavaliers: Pacers +5
- Pacers vs. Cavaliers over/under: 225.5 points
- Pacers vs. Cavaliers money line: Indiana +162, Cleveland -195
- Pacers vs. Cavaliers Picks: See picks here
Featured Game | Indiana Pacers vs. Cleveland Cavaliers
What you need to know about the Cavaliers
Things took an ugly turn in the third quarter of Cleveland’s final game on Thursday when Memphis Grizzlies forward Dillon Brooks put a swipe at Donovan Mitchell after a drive to the basket. After the dust settled, Cleveland rallied and walked away with the 128-113 win on the road. Mitchell was ejected, but Darius Garland took up the gap with a 32-point, 11-assist double-double.
One thing Cleveland has done successfully against the Pacers in their last two games is hitting the long ball. The Cavs scored 44.8% of their 3-point attempts in those games, led by Mitchell, who hit 13-of-26 while Garland also hit 4-of-7. Cleveland needs to keep up that production, but the Pacers have kept opponents down to just 28.9% from downtown in the last three games.
What you need to know about the Pacers
The Pacers narrowly escaped with a win as they edged past the Sacramento Kings on Friday, 107-104. Buddy Hield was the offensive standout of the game for Indiana, hitting 5 of 9 3-point attempts and finishing with a double-double with 21 points and 10 rebounds. Center Myles Turner rode through a tough night of shooting to score 14 points, grab 13 rebounds and make four blocks.
Hield also had six assists against the Kings, and that could also be a crucial element in Sunday’s matchup against Cleveland. In the previous two encounters between the two sides, Indiana averaged 62 assists while Cleveland averaged 26 per game. The Pacers also made 92.5% of their free throws against Cleveland this season, but the Cavs averaged six more tries from the charity streak than Indiana in the last two contests.
How to make Cavaliers vs. Pacers picks
The model has simulated Pacers vs. Cavaliers 10,000 times and the results are in. We can tell you that the model is leaning forward and it also generated a point spread pick that hits well over 60% of the simulations. You can only see the selection at SportsLine.
Who will win Pacers vs Cavaliers? And which side of the spread is a must-back? Visit SportsLine now to see which side of the spread to jump to, all from the computer model that wrecked his NBA picks, and find out.
https://www.cbssports.com/nba/news/cavaliers-vs-pacers-odds-line-spread-2023-nba-picks-feb-5-predictions-from-proven-computer-model/ Cavaliers vs Pacers Odds, Line, Spread: NBA Picks 2023, Feb 5 Predictions from Proven Computer Model