We don't rely on simple rankings or subjective analysis. Our prediction system, TREND-SEARCH™, employs a Machine Learning algorithm to predict NFL outcomes Against the Spread (ATS). Our model is 100% objective and quantitative, built on an expansive data architecture, processing over 2.5+ million data points derived from hundreds of distinct, high-value trends. By examining this vast, granular feature set, our model captures complex interactions between passing efficiency, defensive vulnerabilities, situational records, and more. We search for the best trends weekly, recognizing that performance patterns in the NFL change rapidly. Associated with every NFL pick is a 1 to 5 Star Confidence Rating. This rating is a direct output of the model, reflecting the mathematical probability of the prediction covering the spread. The more stars shown, the higher the calculated edge.

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Predictions Summary | Monday Night | 2009
Projected Team Is Correct Wrong Push Pct
Favorite ATS 0 0 0 .000
Underdog ATS 0 0 0 .000
Even ATS 0 0 0 .000
Home ATS 0 0 0 .000
Home Dog ATS 0 0 0 .000
Overall 0 0 0 .000
chart
 
Projected Team Rated ATS As Correct Wrong Push Pct
Rating 0 0 0 .000
Rating Rating 0 0 0 .000
Rating Rating Rating 0 0 0 .000
Rating Rating Rating Rating 0 0 0 .000
Rating Rating Rating Rating Rating 0 0 0 .000
chart
 
Point Spread Range Correct Wrong Push Pct
 
Projected Team Rated SU As Correct Wrong Push Pct
Rating 0 0 0 .000
Rating Rating 0 0 0 .000
Rating Rating Rating 0 0 0 .000
Rating Rating Rating Rating 0 0 0 .000
Rating Rating Rating Rating Rating 0 0 0 .000
ATS Results | Monday Night | 2009
Date Week Day Visitor Score Home Score Line Projected Actual Rating Result Margin
Money Line Results
Date Week Day Visitor Score Home Score Projected Actual Money Line EV Value Tier Result
Straight Up Results
Date Week Day Visitor Score Home Score Line Projected Actual Rating Result Margin
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