A 62% NFL trend spotlights one of the best games in the early Week 1 window for bettors: Titans vs. Bears.
Set to take place at Soldier Field, the game features the Titans under new head coach Brian Callahan squaring off against a revamped Bears team, energized by their No. 1 overall pick, quarterback Caleb Williams. The Bears vs. Titans Week 1 spread lists Chicago a 3.5-point favorite, with the game total set at 44.5 points.
After crunching the odds, over/under and situation, one of our tested betting models rolled out an undervalued side to consider backing against the points spread Sunday.
With the key factors in mind, let’s move on to the Bears vs. Titans prediction backed by historical data.
Bears vs. Titans Prediction Sunday Backed by Historical NFL Data
On Sunday, the Bears vs. Titans non-conference tilt fits one of the most unique systems available to PRO subscribers.
This 62%-winning model highlights teams that were not good last year, but have a ton of potential out the gates.
Williams is the savior for the Bears. He’ll get a chance to show his skillset in front of the Chicago faithful. However, our PRO Systems data flags significant value on the Titans against the spread (+4.5).
Tennessee is a perfect candidate for our “Road Dog, Low Total After Bad Season” PRO System. This particular NFL betting strategy is designed to take advantage of the idea that a team may underperform based on last season’s results. Small underdogs (+4 or lower) with low totals (46 points or fewer) generally cover the spread in the first six weeks if they had six or fewer wins the previous year – like Tennessee!
Betting these spreads throughout the entire NFL season has yielded a 59% win rate lifetime. However, when we filter down to NFL games only in September, November and December, the trend boosts to 62%.
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The pick backed by data isn’t the popular favorite, but rather the under-the-radar ‘dog in Tennessee behind quarterback Will Levis.
PRO System Pick: Titans to Cover the Spread
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Our PRO signals flag far more great picks than our staff could author each day — that’s where Action AI comes in. Using generative AI, signals that hit a high grade threshold are written up into articles that are then vetted and edited by a human to help us get you all the sharp action. Read more about how it works here.