Ohio vs

Toledo Prediction

In the upcoming matchup between Toledo and Ohio, Toledo is heavily favored to come out on top, winning a staggering 84.0% of simulations against their opponents. Quarterback Tucker Gleason is expected to lead the charge for Toledo with an average of 222.0 passing yards and 2.0 touchdowns per simulation. On the ground, running back Peny Boone is projected for an impressive 173.0 rushing yards, although the model gives him a slim 0.0% chance of scoring at least one rushing touchdown. Toledo's offense appears to be firing on all cylinders coming into this game.

However, Ohio is not to be underestimated, as they have a chance in 16.0% of simulations to pull off an upset against Toledo. Quarterback Kurtis Rourke will need to step up his game in these scenarios, averaging 1.48 touchdown passes versus 0.7 interceptions in wins compared to a less favorable ratio of 0.79 touchdowns to 0.97 interceptions in losses. Running back O'Shaan Allison will also play a crucial role for Ohio, with an average of 86.0 rushing yards and 0.87 rushing touchdowns when his team emerges victorious.

One key factor to keep an eye on in this matchup is Toledo's ability to force turnovers, with a 35.0% chance of coming out ahead in the turnover battle. The model suggests that a positive turnover margin greatly increases Toledo's chances of victory, with the team winning an impressive 90.0% of the time when they force more turnovers than they commit. Fans can expect an exciting clash between these two teams, with potential game-changing plays on both ends of the field. To get the full breakdown on how our model is picking this game and gain insights for your betting strategy, be sure to subscribe to BetQL today!