New York @ New York props

The New York Jets will be rolling out backup QB Zach Wilson in this game, which typically means fewer pass attempts and more rush attempts. In this contest, Breece Hall is forecasted by the predictive model to secure a spot in the 86th percentile when it comes to running backs with 4.2 targets. Breece Hall's ball-catching skills have been refined this year, with his Adjusted Catch Rate jumping from 63.9% to 81.0%. As it relates to safeties in covering receivers, New York's collection of safeties has been lousy this year, projecting as the 6th-worst in football.

The New York Giants may pass less in this week's contest (and call more rushes) since they be forced to start backup QB Tyrod Taylor. This week's spread suggests a passing game script for the Giants, who are -3-point underdogs. The Giants have run the 9th-most plays in the league this year, averaging a monstrous 61.4 plays per game. In this week's contest, Saquon Barkley is predicted by the model to position himself in the 96th percentile among RBs with 4.9 targets. With an exceptional 4.1 adjusted catches per game (97th percentile) this year, Saquon Barkley places among the best running backs in the pass game in the league.

The New York Jets will be rolling out backup QB Zach Wilson in this game, which typically means fewer pass attempts and more rush attempts. The predictive model expects Garrett Wilson to notch 9.3 targets in this contest, on balance, placing him in the 93rd percentile when it comes to WRs. Garrett Wilson's 79.8 WOPR (Weighted Opportunity Rating—an advanced stat that weighs high-value offensive usage) has been quite a bit higher this season than it was last season at 59.8. Garrett Wilson grades out as one of the best wide receivers in the game this year, averaging an exceptional 5.6 adjusted receptions per game while grading out in the 89th percentile. Garrett Wilson's 64.1% Adjusted Catch% this year conveys a meaningful growth in his receiving ability over last year's 61.1% figure.

The New York Jets will be rolling out backup QB Zach Wilson in this game, which typically means fewer pass attempts and more rush attempts. The leading projections forecast Tyler Conklin to accumulate 4.9 targets in this game, on balance, placing him in the 81st percentile among tight ends. Tyler Conklin's 33.7 WOPR (Weighted Opportunity Rating—an advanced metric that measures high-value offensive volume) ranks him among the best in the league: 85th percentile for TEs. With a stellar 3.4 adjusted receptions per game (79th percentile) this year, Tyler Conklin ranks among the leading TE receiving threats in football. Tyler Conklin's 81.0% Adjusted Completion Rate this season conveys a noteable gain in his receiving prowess over last season's 71.7% mark.

The New York Giants may pass less in this week's contest (and call more rushes) since they be forced to start backup QB Tyrod Taylor. This week's spread suggests a passing game script for the Giants, who are -3-point underdogs. The Giants have run the 9th-most plays in the league this year, averaging a monstrous 61.4 plays per game. The model projects Darren Waller to earn 7.0 targets in this contest, on balance, ranking him in the 97th percentile when it comes to tight ends. Darren Waller's 4.9 adjusted catches per game this season conveys a significant growth in his pass-catching talent over last season's 3.6 figure.

The New York Giants may pass less in this week's contest (and call more rushes) since they be forced to start backup QB Tyrod Taylor. This week's spread suggests a passing game script for the Giants, who are -3-point underdogs. The Giants have run the 9th-most plays in the league this year, averaging a monstrous 61.4 plays per game. Wan'Dale Robinson comes in as one of the top WRs in the NFL this year, averaging an excellent 4.6 adjusted receptions per game while grading out in the 78th percentile. Wan'Dale Robinson's 85.5% Adjusted Catch Rate this year represents a substantial growth in his pass-catching proficiency over last year's 77.9% figure.