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USC vs. Colorado picks, predictions: Week 4 college football game odds, lines
By James Parks,
The "Cinderella Story", as Dan Lanning put it, came to an abrupt end last weekend as Colorado absorbed a humbling 42-6 loss on the road to Oregon , and now it's up to Deion Sanders and the Buffaloes to write the sequel this week as they welcome No. 8 USC in college football 's Week 5 action on Saturday.
Colorado played a pass-heavy brand of offense through the first four games, posting 353 yards in the air against only 55 each time out running the ball, and the defense is averaging around 75 more yards than the offense is getting so far.
As expected, USC's offense is humming along behind Heisman quarterback Caleb Williams, who has 1,200 yards passing with 15 touchdowns while hitting 74 percent of his throws leading a unit posting 570 yards per game on the attack.
What do the experts think of the matchup? Let's see how the College Football Power Index computer prediction model projects the game.
USC vs. Colorado picks, predictions
USC odds: The computers are siding with the Trojans this week, who have an 89.7 percent chance to win outright, according to the models that simulate games 20,000 times to pick winners.
Colorado odds: That leaves the Buffaloes as the projected winner in just 10.3 percent of the simulations, according to the index computer models.
Point spread: USC comes into the game as 23 point favorites, according to the lines at SI Sportsbook, which set the total at 73.5 points.
USC predictions: Down 3 spots on the index 133 team rankings despite beating Arizona State, the Trojans are projected to be 20.6 points better than an average opponent, forecasted to win 9.8 games this season.
Colorado predictions: The index estimates the Buffaloes will be 0.9 points worse than an average team, estimated to win 5.9 games and lose 6.1 games this year.
Football Power Index (FPI) college football rankings and computer prediction model are a measure of team strength that predicts a team’s future performance.
Rankings and scores predictions are based on 20,000 simulations of a team’s season and games, using a combination of key analytics, including scores to date, quality of opponents, team talent, recruiting , and a team’s schedule .