In the United States, a former University of Alabama football player, Luther Davis, has been implicated in a large-scale fraud scheme where he, alongside co-defendant CJ Evins, impersonated active NFL players to secure fraudulent loans. This scheme reportedly spanned from May 2023 until October 2024, during which they successfully executed an elaborate plan involving disguises, fake identification, and false representations to lenders. Their fraudulent activities led to the acquisition of approximately $19.8 million through at least 13 loans, utilizing the proceeds to purchase luxury items such as real estate, vehicles, and jewelry. Davis and Evins perpetrated their fraud by presenting themselves as representatives of the NFL players seeking loans. By using wigs and makeup to disguise their identities, they were able to convince lenders of their fabricated identities during video conferences. The legal documents detail that none of the real NFL players had authorized Davis and Evins to pursue these loans, making their actions constitute aggravated identity theft and fraud. Federal authorities took note of the fraudulent activity when lenders realized that the purported NFL players were absent during loan closing meetings. Davis and Evins wrote false identification documents, often using images available online to present themselves as the fake borrowers. Despite initially pleading not guilty, both men are expected to enter guilty pleas in a court hearing scheduled for April 27, with the U.S. District Judge Steven D. Grimberg overseeing the proceedings. Davis previously played as a defensive lineman for the University of Alabama during its undefeated championship season in 2009. His criminal behavior now stands in stark contrast to his athletic achievements. The case has raised significant concerns about identity theft and fraudulent practices, particularly related to professional athletes, leading to increased scrutiny of both lenders' protocols for identity verification and broader discussions about fraud prevention measures in the industry.