NFL Draft News & Analysis

Premium Content Sign Up

2020 NFL Draft: Using text analytics to evaluate the 2020 wide receiver class

Last week, we debuted an approach to understanding NFL prospects using text analytics on their scouting reports. Using the awesome resource that is Dane Brugler’s draft guides from 2015 to the present, we went through and derived a similarity score between every pair of prospects during that time frame. 

Once these similarity scores were computed, we looked at early-career WAR for each comparable player and weighted them by the similarity in their scouting reports. If a player is a close comp to a player who produced a lot during his rookie deal, the score would go higher. Similarly, the same thing would happen if a player was a far away comp to a player who played poorly.  

[Editor’s note: Check out PFF’s 2020 Mock Draft HubNFL Draft Big Board and NFL Mock Draft Simulator. PFF Elite subscribers can also download the 1,100-page 2020 NFL Draft Guide.]

Here, we provide a ranking using this approach for the top receivers in this week’s draft, along with some under-the-radar players the method likes.  

Laviska Shenault, Colorado 

DOMINATE FANTASY FOOTBALL & BETTING WITH AI-POWERED DATA & TOOLS TRUSTED BY ALL 32

Unlimited Fantasy League Sync
Fantasy Start/Sit Line-Up Optimizer & Waiver Wire
WR-CB & OL-DL Matchups, PFF Player Grades, & Premium Stats 2.0 Tools
Nathan Jahnkes Rankings - #1 Most Accurate Last 70 Weeks
PFF Best Bets, Player Props, & Power Ranking Tools
NFL Mock Draft Sim with Trades & Draft Grades

Already have a subscription? Log In

Safety worth way more than 2 points. Help protect your family with fast, free will.
Sponsor

NFL Draft Featured Tools

Subscriptions

Unlock the 2023 Fantasy Draft Kit, with League Sync, Live Draft Assistant, PFF Grades & Data Platform that powers all 32 Pro Teams

$31 Draft Kit Fee + $8.99/mo
OR
$89.88/yr + FREE Draft Kit