10 most likely picks for Steelers first round of the 2021 NFL Draft

Najee Harris #22 of the Alabama Crimson Tide. (Photo by Wesley Hitt/Getty Images)
Najee Harris #22 of the Alabama Crimson Tide. (Photo by Wesley Hitt/Getty Images) /
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Nearly every fan has thoughts about who the Steelers should draft this year. Mike Tomlin undoubtedly has his shortlist prepared.

There are countless numbers of NFL mock drafts available online, which have deduced the best option for the Steelers to select. Some of those mock drafts may be accurate, others seem suspect. That said, all of the mock drafts do have particular usefulness. When one sifts through a number of them, it becomes easier to figure out the likelihood of players being available at a certain point in the draft. For example, no one has Trevor Lawrence going anywhere other than to Jacksonville.

Then with the San Francisco trade putting them in the number three spot, barring some unforeseen circumstance, the first three selections should be quarterbacks. Which three quarterbacks are taken then is still a matter of some debate. As the draft proceeds, taking into account the specific needs of any single team, by the time you get to the 20th pick, one can determine the odds of a particular player still being available.

There has been no shortage of suggestions of who they should select when they are on the clock. This analysis is not about who the Steelers should choose. Rather it’s about who they are most likely to opt for based on who will still be available at the 24th selection based on team needs heading into the 2021 draft.

So, assuming the Steelers decide to keep their current spot in the draft order, who are the most likely players to be available with the 24th selection. Here are the 10 most likely players the Steelers may take. This is not to say it is who the Steelers should draft or that they will take one of these players. They are the 10 most likely based on which players remain on the draft board at the 24th selection. Keep in mind the percentages used in this analysis have a +/- error margin of 5%.