Richie James Receiving Yards - Player Prop Bet Week 4

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NFL · Player Props

Richie James

WR · New York Giants

Receiving Yards

New York Giants vs Chicago Bears · Week 4, 2022

Updated Oct 2, 2022 11:20 PM UTC

Analysis

Richie James Receiving Yards Prop is currently Over/Under 44.5 (-103/-128).

The money has been on the Under as it opened 44.5 @ -115 before it was bet down to 44.5 @ -128.

Key Factors

Favors Over

THE BLITZ projects the New York Giants as the 7th-quickest paced defense in the league (in a neutral context) at the moment, leading opposing offenses to average 27.52 seconds per snap.
THE BLITZ projects Richie James to notch 7.0 targets in this week's contest, on average, ranking in the 77th percentile among WRs.
Richie James has been among the best possession receivers in the NFL, catching an impressive 88.0% of balls thrown his way this year, checking in at the 98th percentile among WRs.
The Chicago Bears pass defense has exhibited bad efficiency versus wide receivers since the start of last season, allowing 8.79 yards-per-target to the position: the 8th-most in football.
The Chicago Bears pass defense has struggled when opposing wideouts have gotten into space, giving up an average of 5.04 yards-after-the-catch since the start of last season: the 8th-most in the NFL.

Favors Under

The Giants are a 3-point favorite in this week's contest, indicating a rushing game script.
THE BLITZ projects the New York Giants to be the least pass-centric offense among all teams this week with a 53.1% pass rate, given their underlying tendencies and matchup dynamics.
The weather report calls for 12-mph wind in this game. High wind generally means reduced pass volume (and increased run volume) and lessened passing efficiency.
Opposing QBs have averaged 27.7 pass attempts per game against the Chicago Bears defense since the start of last season: least in football.
The New York Giants O-line profiles as the worst in football since the start of last season in protecting the QB, which has a harmful effect on all passing attack metrics across the board.