Colorado vs. USC odds, spread, line: 2023 college football picks, Deion Sanders predictions by proven model
SportsLine's computer model has simulated the Colorado vs. USC game 10,000 times and is predicting a 57-34 victory for the Trojans. The model also has a 62% success rate on all college football picks over the past five years.
Deion Sanders is in his second season as head coach at Colorado, and he is still trying to build the program into a winner. The Buffaloes are coming off a 30-13 loss to Air Force last week. Colorado quarterback J.T. Strout threw for 228 yards and a touchdown, but he was also intercepted twice. The Buffaloes' defense struggled to stop Air Force's running game, which rushed for 237 yards.
USC is coming off a 42-25 victory over Fresno State last week. The Trojans were led by quarterback Caleb Williams, who threw for 287 yards and two touchdowns. USC running back Travis Dye also had a big game, rushing for 124 yards and two touchdowns. The Trojans' defense forced three turnovers in the game.
SportsLine's computer model is predicting that USC will win the game by a comfortable margin. The Trojans have a more talented roster than Colorado, and they are coming off a more impressive performance last week.
Here are some of the key factors to consider when making your bet on the Colorado vs. USC game:
- USC is the more talented team. The Trojans have more experience and depth than Colorado.
- USC is coming off a more impressive performance last week. The Trojans defeated Fresno State by 17 points, while Colorado lost to Air Force by 17 points.
- USC has a better quarterback. Caleb Williams is one of the top quarterbacks in the country. He is a dual-threat player who can make plays with his arm and his legs.
- Colorado has a good defense. The Buffaloes forced three turnovers in their last game against Air Force. However, they will be challenged by USC's high-powered offense.
Overall, USC is the better team in this matchup. The Trojans have more talent, experience, and depth than Colorado. SportsLine's computer model is predicting a 57-34 victory for USC, and I agree with the model's prediction.
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