SportsLine’s proprietary AI engine recently ran a 10,000‑iteration simulation of the upcoming NFL season, generating a fresh set of Fantasy football projections that are already sparking conversation among analysts and draft enthusiasts.
The model flags several high‑risk selections, most notably Houston Texans running back David Montgomery, who is projected to underperform relative to his current ADP, and Buffalo Bills back James Cook, whose two solid seasons are tempered by a concerning fumble rate.
Why Some Stars Are Projected to Fizzle
Wide receiver Terry McLaurin, despite a productive 2024 campaign, is identified as a potential bust for 2025 after a noticeable dip in per‑game production and a history of injuries that could limit his upside.
The simulation also warns against drafting any of the first six receivers early, ranking them barely inside the top ten and labeling them as major busts for the 2026 class.
Analysts say the findings underscore the importance of relying on data‑driven models rather than conventional ADP trends, especially when a player’s offensive context shifts, as with Montgomery’s move to a less explosive Houston attack that now shares snaps with rookie Woody Marks.
The same AI has a proven record of spotting sleepers, having correctly forecast the breakout of A.J. Brown in 2020 and the rise of Jonathan Taylor in 2021, lending credibility to its current 2026 outlook.