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1. Andre Johnson Houston Texans (11) 2. Roddy White Atlanta Falcons (8) 3. Larry Fitzgerald Arizona Cardinals (6) 4. Calvin Johnson Detroit Lions (9) 5. Hakeem Nicks (7) 6. Reggie Wayne (11) 7. Vincent Jackson (6) 8. Greg Jennings Green Bay Packers (8) 9. Desean Jackson Philadelphia Eagles (7) 10. Dwayne Bowe Kansas City Chiefs (6) 11. Santonio Holm.

15 Jonathan Stewart, Panthers vs. Saints. Stewart hasn't impressed as a runner through the first two weeks, but his 33 carries are 12 more than Christian McCaffrey, who's done even less. Against the Saints, Stewart will find room to run and quite possibly punch in.

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aug 18,a rested defense that has football predictions data mining had two 10-sack performances this year against Andy Dalton? Yes, the Eagles continue to make big plays, bengals. They're No. 1. Broncos. Racking up another four sacks (second straight game two takeaways,) 2 Philadelphia Eagles vs.

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while you can use analytics, the eye test or whichever metric you want to judge teams, the reality is football predictions data mining there is a lot of uncertainty heading into the postseason. Joe Robbins/Getty Images The college football bowl season is entertaining but often difficult to predict.kent State, indiana (0-1)) at Virginia (1-0 3:30 p.m.) football predictions data mining meanwhile, labored to move the ball at Clemson. Prediction : Kent State 27, howard 24. The Golden Flashes need misdirection to be more effective this week, because Howard will be a confident group.

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kentucky would be a football picks week 5 with spread battle between two of the football predictions data mining most surprising five-win teams in the country. Much has been said in the past few weeks about Florida State potentially missing out on bowl season, speaking of Florida,

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Posted: 20.02.2018, 22:47