My Account Log Out
 
 
Randall Cobb

Randall Cobb Receptions
Player Prop Week 2

Green Bay Packers vs Chicago Bears

 
 
 
Randall Cobb Receptions Prop is currently Over/Under 2.5 (+125/-160).

The money has been on the Over as it opened 2.5 @ +130 before it was bet up to 2.5 @ +125.
FACTORS THAT FAVOR THE OVER:
  • THE BLITZ projects the Green Bay Packers as the 4th-most pass-oriented team in football (in a neutral context) right now with a 65.2% pass rate.
  • The forecast calls for 4-mph wind in this game. Low wind generally means higher pass volume, higher touchdown potential, and better passing efficiency.
  • The Chicago Bears cornerbacks rank as the 8th-worst unit in the NFL since the start of last season in pass coverage.
  • The Chicago Bears defensive front has gotten pressure on opposing QBs 2.51 seconds after the snap (on average), ranking as the 10th-slowest in the NFL since the start of last season.
  • The Green Bay Packers have used some form of misdirection on 54.7% of their plays since the start of last season (6th-most in the league), which masks an offenses true intentions and may make them more effective.

  • FACTORS THAT FAVOR THE UNDER:
  • The Packers are a big 10-point favorite in this week's contest, likely creating an extreme rushing game script.
  • THE BLITZ projects the Packers to call the least offensive plays on the slate this week with 60.4 plays, accounting for their underlying tendencies and game dynamics.
  • Opposing quarterbacks have averaged 27.3 pass attempts per game against the Chicago Bears defense since the start of last season: least in football.
  • The Green Bay Packers O-line has afforded their quarterback just 2.44 seconds before the pass (3rd-worst in football since the start of last season), which has a harmful effect on all pass attack statistics across the board.
  • The Green Bay Packers have gone no-huddle on a mere 2.7% of their play-calls outside the two-minute warning since the start of last season (5th-least in the league). This slows down the pace, leading to less volume and stat accumulation.

  •  
     
     
     
     
    © 2022 EV Analytics   |   Data by WriteNow™