Bears vs. Packers Player Props | Trevor Siemian | Week 13

Dan Watson
November 30, 2022 4:24 PM

The Chicago Bears welcome the Green Bay Packers at Soldier Field on Sunday, December 4th. Kickoff is scheduled for 1:00pm EST. The Packers are favored by 4.5 points, and the Over/Under is 44.

Welcome to BestOdds betting breakdown where we identify performance trends to analyze teams’ chances in the upcoming game.

Today, we check out at Trevor Siemian of the Bears who face the Packers in National Football League action.

In their most recent game, the Bears posted a 31-10 loss against the New York Jets. The Packers’ last game resulted in a loss versus the Philadelphia Eagles by the score of 40-33.

Trevor Siemian Bets and Odds

Bet Value Betting Odds
Score TD +600
Score First TD +3000
Score Last TD +3000
Score 1st Half TD +950
Score 2nd Half TD +950

Bet $5 Get $250 Instantly
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Trevor Siemian Notable Teammates

Name GP Pass Yds Carries Rush Yds Rec Rec Yds TDs
Trevor Siemian 2 184 4 8 1
Khari Blasingame 12 0 0 0
Justin Fields 11 1642 122 834 20
Darrynton Evans 3 9 34 1 33 0
David Montgomery 11 146 580 21 238 3
Trestan Ebner 12 24 54 2 8 0
Trevon Wesco 11 2 26 0
Cole Kmet 12 2 9 29 336 5
Byron Pringle 6 5 57 1
Chase Claypool 4 1 4 7 83 0
Dante Pettis 12 2 37 13 188 2
Equanimeous St. Brown 12 5 53 14 195 1
N’Keal Harry 3 4 44 1

NFL Computer Pick For Player Props

NFL computer player prop picks are betting predictions made by an AI computer algorithm with a final check by a professional sports bettor.

The AI algorithm takes into account multiple data points to come up with its recommendation.

Betting trends, game venue, line-ups, weather, injury, news updates, and a wide range of statistics are the factors taken into account when picking NFL player props computer prediction.

A seasoned sports bettor performs the final check.

Trevor’s Most Popular Prop Bet

The most popular prop bet on this particular game for Trevor is to Score a Touchdown. Currently, the odds are showing a 14.5% probability. (+600 odds converted into probability)

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