Top playmakers KJ Duff, Antwan Raymond return for Rutgers amid QB race
In a significant development for Rutgers football, returnees KJ Duff and Antwan Raymond have confirmed their return for the upcoming season. This news comes amid a quarterback battle between AJ Surace and Dylan Lonergan, with both vying for the starting position in coach Greg Schiano's ball-control offense. Surace, who played as a backup last season, lacks game experience, while Lonergan, a transfer from Boston College, brought over 2,000 passing yards.
The return of Duff and Raymond will be crucial for the Scarlet Knights' offense. Duff, who recorded 1,084 receiving yards and seven touchdowns as a sophomore, and Raymond, who rushed for 1,241 yards and 13 scores in his first year, add valuable experience to the team. The offensive line, featuring experienced players like Tyler Needham and Kwabena Asamoah, has depth and stability.
On defense, Rutgers must improve if it aims to return to a bowl game after missing out last season. Key transfers Malachi Davis, J'Dan Burnett, and Sekou Kromah have bolstered the defense, which struggled by allowing 35 or more points in six of nine conference games. The addition of these players should help Rutgers address their defensive weaknesses.
Rutgers faces a challenging schedule after their opening two games against UMass and Boston College. They will be tested by powerhouses USC, Michigan, and Indiana. The Scarlet Knights' special teams, led by the return of punter Jakob Anderson and place kicker Jai Patel, will be vital in setting up scoring opportunities.
Financially, Rutgers' NIL budget is a concern, as the program operates below the Big Ten's spenders. However, with new additions to the coaching staff, including defensive coordinator Travis Johansen, the team aims to strengthen its roster and compete at a higher level. The upcoming matches against Boston College, USC, and Michigan will be crucial in determining Rutgers' path forward.
Written by urgent.news from Winnipeg Free Press's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.