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College Football Computer Predictions Explained

All team stats are scaled in value according to the opponents they play. For example, rushing for 100 yards against the top rushing defenses is considered more valuable than rushing for 100 yards against the worst rushing defenses.

These adjusted stats are then used by the game prediction formula to predict the winners of the games. Rushing offenses are put up against the Rushing defenses, Passing offenses against Passing offenses, etc. These figures are then matched up against the adjusted stats to get a general figure of how many "quality" yards are needed per point. These scores are then magnified in order to create the "football score" and spreads you see posted.

Predictions are done for a team vs all other teams for the power rankings. The computer is right on it's picks about 75% of the time, give or take about 5% on any given week. Predictions are one of the more important factors in the computer rankings both directly with power scores and sos, but also for half points on future unplayed games.

Gamblers Warning: These predictions are done for the sole purpose of ranking teams. The spread and other things listed are merely interesting side effects of that process and are published only for entertainment. It is merely the computers best guess under the formula and nothing more.

Thursday August 28, 2014
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Friday August 29, 2014
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#90 UNLV
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#33 BYU
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Saturday August 30, 2014
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#104 UAB
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#76 Troy
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#13 Auburn
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#72 SMU
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#25 UCLA
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#7 UCF
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#127 Idaho
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#106 Hawaii
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#80 UTSA
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#75 Ohio
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#16 LSU
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#121 UTEP
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#68 Texas
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#54 Rice
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#50 Navy
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#118 Purdue
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#96 Temple
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#105 Tulsa
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#58 Tulane
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2014 Week 1 Predictions Discussion
 
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