Steelers 2022 NFL 7-round mock drafts decided by a computer simulation
Round 7 picks
Simulation 1: 7.225, Amare Barno, EDGE, Virginia Tech
Rounding out the first simulation is a selection of an edge rusher out of Virginia Tech. Amare Barno had a productive season in 2020 and that led to many expectations in 2021. He, unfortunately, regressed some and couldn’t prove himself yet again. He is a solid gamble in the seventh round.
Simulation 2: 7.225, Zach Vanvalkenburg, EDGE, Iowa
Zach Vanvalkenburg has been getting better each year during his time as an Iowa Hawkeye. He didn’t put up any eye-popping numbers, but they were respectable. The Steelers get some competition for depth at the edge spot, which they desperately need.
Simulation 3: 7.225, Jaivon Heiligh, WR, Coastal Carolina
Simulation three was the only one left that had two selections in the seventh round. Jaivon Heiligh put up some nice numbers over the past two seasons in a smaller conference. He steadily got better and provides some competition for a receiver trying to make the team with the fourth or fifth spot.
7.241, Clarence Hicks, LB, UTSA
Clarence Hicks rounds out the mock draft for simulation three and they get a linebacker here. He is coming from a small program, but he was able to put up some solid numbers in 2021. He is on the small side and will need to add some weight to adjust to the NFL level.
Simulation 4: 7.225, Josh Jobe, CB, Alabama
Josh Jobe falls to the seventh round in this simulation and that’s solid value. He has good experience in one of the better defenses of college football for the past couple of decades. He has some limitations but could play well on special teams and earn a roster spot.
7.241, Eyioma Uwazurike, DT, Iowa State
Taking a defensive lineman here is basically just providing competition for the bottom of the roster guys. Eyioma Uwazurike had a productive season in 2021, but that was really his only productive year. He is probably just going to challenge for the nose tackle spot at best.