Fantasy Football Today: FFT Express - Man vs Machine: Can ChatGPT Beat the FFT Crew? INSANE 2025 Fantasy Forecasts Revealed!

Release Date: July 16, 2025

In this riveting episode of FFT Express, hosted by Adam Azer, the Fantasy Football Today (FFT) crew embarks on a unique challenge: pitting their expert analysis against the predictions generated by ChatGPT. This "Man vs Machine" showdown delves into the accuracy and insights of AI-driven forecasts for the 2025 fantasy football season. The discussion is both engaging and insightful, offering listeners a comprehensive look into the future of their fantasy leagues.

1. Introduction to the Challenge

Adam Azer kicks off the segment by introducing the concept, crediting their producer, Thomas Schaefer, for the innovative idea. The crew is set to evaluate ChatGPT's 2025 fantasy football predictions, with a particular focus on some bold claims made by the AI.

Adam Azer [00:32]: "We're going to compete, I guess against ChatGPT. We're going to react to the 2025 fantasy football predictions generated by ChatGPT. So this will be fun."

2. Caleb Williams as the Top Fantasy QB

One of ChatGPT's standout predictions is Caleb Williams finishing as the overall top quarterback in fantasy football for 2025. Jamie Eisenberg expresses skepticism about this forecast.

Jamie Eisenberg [01:05]: "I just can't buy it. Based on the history of Bears quarterbacks and what we saw a year ago, like that's just too huge of a leap."

Adam Azer adds that Williams' projected schedule, featuring numerous cold-weather games, might hinder his performance, making it unlikely for him to secure the top spot.

Adam Azer [02:04]: "So Chat GPT, you suck on that one."

3. Ashton Genti and Tedaroa McMillan’s Rising Prospects

ChatGPT predicts Ashton Genti to finish as a top five overall player in PPR leagues, a claim Adam Azer finds plausible and aligns with his own rankings.

Adam Azer [03:18]: "This one really I like a lot. And it when we were doing our wide receiver rankings, talking about our wide receiver rankings and we got to this particular player, I thought about the number that I'm seeing here."

However, the discussion shifts to Tedaroa McMillan, who ChatGPT forecasts to log 130 targets and finish as the 15th widest receiver. Jamie Eisenberg counters that McMillan should earn more targets due to his opportunity.

Jamie Eisenberg [03:18]: "Like I feel like he could be better than all those guys because of his opportunity."

4. Critiquing ChatGPT’s Wide Receiver Assessments

The crew delves deeper into McMillan's potential, with Adam Azer arguing that ChatGPT underestimated his value based on his draft position.

Adam Azer [04:44]: "I think this was not just a bad wide receiver draft. I think this was a bad NFL draft."

Jamie Eisenberg emphasizes the importance of not reaching for certain players based on ChatGPT’s predictions, highlighting the unpredictability of rookie performances.

Jamie Eisenberg [05:32]: "You don't want to be reaching for an... like you don't want to be reaching for Jalen Rager."

Note: The segment between [05:04] and [06:54] contains an advertisement for Europe United's job training program and is thus omitted from the summary.

5. Wondale Robinson’s Unexpected PPR Surge

Resuming the discussion at [06:54], Adam Azer introduces ChatGPT's prediction of Wondale Robinson breaking into the top 24 in PPR leagues by logging 140 targets—a claim met with hesitation by Jamie Eisenberg.

Jamie Eisenberg [06:54]: "There's no way Wondale Robinson is cracking the top 24 without a."

Despite initial doubts, the duo considers scenarios where Robinson could achieve such high target numbers, especially if the team's run game falters.

6. Tight End Titans: Sam LaPorta vs. Colston Loveland

ChatGPT forecasts Colston Loveland sneaking into the top eight tight ends, a prediction Jamie Eisenberg finds credible, placing Loveland at around 10th in his own rankings.

Jamie Eisenberg [07:51]: "Colston Loveland to be like, this is, you know, you say a lot of teams didn't have first-round grades on players. They definitely done the tight ends."

The discussion highlights Sam LaPorta's impressive rookie year, setting the stage for Loveland to capitalize on a strong team's offensive line.

7. Dylan Gabriel’s Mid-Season Breakthrough

One of the more controversial predictions is Dylan Gabriel of Cleveland emerging as QB12 by week nine and maintaining that rank for the rest of the season. Both Adam Azer and Jamie Eisenberg express strong doubts about this scenario.

Jamie Eisenberg [08:34]: "No, this is the worst one so far."

The hosts agree that such a steep rise for Gabriel is highly improbable, particularly given his performance metrics.

8. Matthew Golden’s Plunge Out of the Top 50

ChatGPT also predicts that Packers wide receiver Matthew Golden will finish outside the top 50. Jamie Eisenberg doesn’t find this surprising, analyzing the Packers' receiving depth and potential target distributions.

Jamie Eisenberg [09:20]: "Would it shock you if golden is like third on the team in targets... Not in that order."

The crew discusses the Packers' likely target spread, suggesting that Golden might struggle to secure top-tier fantasy status amidst a crowded receiving corps.

9. Wrapping Up: Beating the Machine

Concluding the segment, Adam Azer and Jamie Eisenberg reflect on their performance against ChatGPT, humorously contemplating retirement if their predictions hold true.

Jamie Eisenberg [11:13]: "We'll find out you might be retiring."

Adam Azer [11:14]: "We'll find out I might be retiring."

The episode wraps up with Adam Azer reaffirming the team's confidence in their analytical prowess over AI predictions, leaving listeners eager for the next matchup.

Key Takeaways

• Human Expertise vs. AI Predictions: The FFT crew demonstrates the nuanced understanding and skepticism necessary when evaluating AI-generated forecasts, highlighting areas where human insight currently outperforms machine predictions.

• Player Evaluation: In-depth analysis of players like Caleb Williams, Tedaroa McMillan, and Colston Loveland provides listeners with valuable information for their fantasy drafts.

• Real-World Implications: The discussion underscores the unpredictability of football seasons and the importance of considering factors like team dynamics, injuries, and schedule difficulty when making fantasy decisions.

This episode of FFT Express not only entertains but also educates fantasy football enthusiasts on the strengths and limitations of relying solely on AI for season projections. By engaging in this "Man vs Machine" challenge, the FFT crew reinforces the value of expert analysis in crafting winning fantasy strategies.