ESPN’s computer model reveals bold prediction for Ohio State-USC game

ESPN’s algorithmic prediction model has projected Ohio State to dazzle USC on Saturday’s game, despite the absence of its starting quarterback Julian Sayin. The model, which simulates games 20,000 times, predicts the Buckeyes will dominate the Trojans with a 13.4 point margin. This bold projection comes despite Sayin’s throwing-arm injury during their recent victory over Indiana, leaving the Buckeyes without a clear starting quarterback.

Head coach Ryan Day has not officially named a starter, further complicating the situation. Freshman Luke Fahey and redshirt freshman Tavien St. Clair are both in the running, with Fahey attempting 9 of 13 passes for 203 yards and 2 touchdowns, and St. Clair attempting only 7 passes. USC also boasts a formidable offense, led by quarterback Jayden Maiava who has thrown for 2,303 yards and 19 touchdowns.

However, the Trojans average 32.8 points per game, which could pose a challenge for Ohio State’s defense that allows just 13.4 points per game. Nevertheless, Ohio State’s defense led by star receiver Jeremiah Smith, who has 984 receiving yards and 12 touchdowns, remains a key factor. While the 13-point projection assumes Ohio State can maintain its usual efficiency, the margin appears ambitious until Fahey or St. Clair proves capable of directing the offense for four quarters.

Nevertheless, Ohio State is still the better team, making the prediction bold but not entirely unrealistic.