Pro Football Artificial Intelligence Team Projected Points for 2013 End

Sportrends involvement with Neural Networks may become the next best way to predict NFL games, by finding ways to build mathematical models and identify critical statistics that provide the most reliability in predicting outcomes of future team performances. As most football fans might surmise, the combination of one team's passing offense compared to the other team's passing defense is a key factor in the outcome of a game. Likewise, rushing offense versus rushing defense is also a critical determinant. In addition, turnovers have been identified as significant variables, with interceptions appearing to matter more than fumbles. Obviously, point differential and team records are also a noteworthy consideration. We at Sportrends have settled on 12 statistical comparisons per team, plus home-field advantage for a total of 25 variables to identify teams which have a very good chance of covering the spread. What really matters is how the two teams match up. For example, lets assume one team has a great passing offense and its opponent has a weak secondary, while the second team has a good offensive line, and the first team has a week defensive line. What happens? How will that affect the outcome? Our model is designed to learn to predict that. As the season progresses, the predictions should become even more accurate because the neural network will become more refined.

Team picks have incorporated a 3 point overlay. Scores are based on last year stats. We recommend you wait until each team has played 3 games.

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