If you aren't using AI just yet, you likely will be soon in some capacity. Whether it be in daily life or on your day job, there's no stopping the train that's already left the station and speeding down the track. While some of the things AI can help you with can be useful for daily routines, others can be used for fun. But which AI model is the best when it comes to predicting the outcomes of college football games?
We decided to pit two AI models against each other when predicting the Ohio State football schedule for 2026, and you can bet that we'll keep track and come back to what actually occurred during the game played on the field and off of predictive AI models. For this particular exercise, we used Google's Gemini and Claude. There are some differences, and it's interesting to see what each says about the game summaries when it comes to games against the likes of Texas, Indiana, Iowa, Oregon, Nebraska, and Michigan.
Here's how things panned out when asking these AI models to predict the Ohio State football schedule for 2026.
Location | Ohio Stadium (Columbus, Ohio)
What Gemini Says | The Buckeyes open the season at home with an absolute fireworks display. The offense clicks immediately, airing it out early before letting the depth chart get valuable reps in the second half. Final Score: Ohio State 52, Ball State 7

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