Cowboys vs. Packers NFL player props: Self-Learning AI backing Jordan Love under 234.5 passing yards on SNF

Week 4 of the NFL schedule features an intriguing Sunday Night Football matchup when Micah Parsons and the Green Bay Packers (2-1) battle the Dallas Cowboys (1-2). Dallas traded Parsons to Green Bay a week before the regular season after a long contract dispute. Veteran quarterbacks Dak Prescott and Jordan Love will face off for the first time since the 2023 postseason when Love passed for 272 yards and three touchdowns to lead the Packers to a stunning 48-32 Wild Card win. Both teams will look to improve their rushing attacks with big games from both Josh Jacobs and Javonte Williams. Jacobs has rushed for 180 yards this season, an average of 60 yards per game, while Williams has just 227 yards, 75.7 per game. There are several NFL player props one could target for these star players, or you may find value in going after other options like Tucker Kraft, Romeo Doubs or Miles Sanders.

With CeeDee Lamb (ankle) out, Cowboys tight end Jake Ferguson may see his role increase in the Dallas passing attack. He leads the Cowboys with 27 receptions for 183 yards. He caught 13 passes for 82 yards, including a long of 12 yards in last week’s 31-14 loss to the Chicago Bears. If Ferguson has a similar type of volume going forward, then the over for his receiving yards NFL prop may be one to consider. Strong options in the passing game can only help a signal caller like Prescott, so both Ferguson and Prescott have intriguing Sunday Night Football props. Before betting any Packers vs. Cowboys props for Sunday Night Football, you need to see the Packers vs. Cowboys prop predictions powered by SportsLine’s Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

For Packers vs. Cowboys NFL betting on Sunday Night Football, the Machine Learning Model has evaluated the NFL player prop odds and provided Packers vs. Cowboys prop picks. You can only see the Machine Learning Model player prop predictions for Green Bay vs. Dallas here.

After analyzing the Packers vs. Cowboys props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model says Packers quarterback Jordan Love goes Under 234.5 passing yards (-114 at FanDuel). Love, a first-round pick by the Packers in 2020, has gone under that total in two of three games this year, and in five of his last six games. Last week in the loss at Cleveland, Love threw for 183 yards and one touchdown with one interception. He had 188 yards passing in the 27-13 season-opening win over the Detroit Lions.

In 15 games last season, Love finished with 3,389 yards passing with 25 touchdowns and 11 interceptions. In parts of five seasons with the Packers, he has completed 63.8% of his passes. In 45 games, he has completed 743 of 1,165 passes for 8,817 yards and 65 touchdowns with 26 interceptions and a 96.1 rating. He finished with 77 catches for 938 yards and 12 touchdowns. The SportsLine Machine Learning Model projects Love to pass for 187.6 yards in a 4.5-star prop pick. See more NFL props here, and new users can also target the FanDuel promo code, which offers new users $300 in bonus bets if their first $5 bet wins:

In addition, the SportsLine Machine Learning Model says another star sails past his total and has nine additional NFL props that are rated four stars or better. You need to see the Machine Learning Model analysis before making any Packers vs. Cowboys prop bets for Sunday Night Football.

Which Cowboys vs. Packers prop bets should you target for Sunday Night Football? Visit SportsLine now to see the top Packers vs. Cowboys props, all from the SportsLine Machine Learning Model.

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