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As we wade into our massive pool of College Football Focus data, we’ll be sharing with you some of the highlights from our Signature Stats in position-by-position looks.

So, over these couple weeks you can expect daily dives into the best and worst that the full FBS schedule produced in all of the same categories you’ve come to know from our NFL coverage.

We’ve been through most of the offensive side of the ball already (quarterbacks, running backs Part 1 & Part 2, receivers Part 1 & Part 2, tight ends)

Pass Blocking Efficiency

Since we grade the effectiveness of every player on every play, it’s important to separate our grades from our stats. Pass blocking efficiency is a pure stat that simply measures how often a blocker allows pressure, but it doesn’t differentiate between how quickly it got there or how bad the block actually was – that’s the job of the grades. The stat also doesn’t account for plays that were negated by penalty as well as poor blocks that may not have resulted directly in pressure but still received a downgrade. Also, sacks are weighted a little higher when it comes to pass blocking efficiency.

Here’s a look at the offensive tackles that best avoided pressure in the draft class.



– La’el Collins was not often asked to pass protect in LSU’s run-first offense, but he was extremely efficient giving up only four pressures all season.
– Fellow first-round hopeful, Andrus Peat, lived up to the hype from a production standpoint; he was one of the best pass blocking tackles in the nation.
– Toledo’s right tackle Chase Nelson finds himself near the top of the list, though a favorable quick-hitting scheme certainly helped his cause.

Run Block Efficiency

Just as pass block efficiency is a straightforward stat, run block efficiency is simply a percentage of non-negative run blocks for offensive linemen. Whether executing the expected block (a 0-grade in our system) or earning a positive, avoiding negatives is the key to showing well in this particular stat. Also as above, this measure does not necessarily account for the quality of the positive blocks, but it’s a good indicator of which blockers avoid the bad blocks that can destroy a running game.



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