Introduction to the 2018 Reception Perception Project
It’s that time of year. With the sun long-since set on the 2017 regular season and the dawn of the NFL offseason cycle well underway, we’re tasked with deconstructing the events of the past in order to help us look forward to what may happen in the future.
My primary tool in executing this task, at least for the wide receiver position, is a charting methodology I developed four years ago called “Reception Perception.” The methodology charts a wide receiver’s performance on every route run during an eight-game sample for NFL receivers and six-game sample for college prospects.
In years past, Reception Perception helped show that Odell Beckham was a winning at an elite level before “the catch” in his rookie year and that Allen Robinson would experience a massive breakout prior to his 14-touchdown 2015 season. When most were ready to leave Michael Crabtree for dead when he hit free agency, Reception Perception indicated that the veteran receiver could thrive in a new home. The series began to look at draft prospects the last two year, and it identified Sterling Shepard and Malcolm Mitchell as favorites, both of whom went on to grab roles and flash early in their respective rookie seasons and look primed for big things going forward.
Now, it must be noted that the results of Reception Perception aren’t always indicative of statistical success. There have been many players who show positively in the methodology’s metrics that do not go on to put up big raw numbers. Frankly, I’ve never intended the series to be one that is solely predictive of future events. Rather, I believe the purpose of Reception Perception and the data that comes out of it, is to bring an unparalleled understanding of how a wide receiver performs beyond the box score, and independent of the influence of outside factors, like quarterback play. Wide receivers are becoming a more specialized position as the years go on. Reception Perception can help break down their skills further than any other analytics or film-based tool to help classify what “type” of wide receiver each college prospect or pro player is.
-How good of a route-runner is this receiver and on which patterns does he create the most separation?
-Where does this receiver “win” on the field and what are his best attributes?
-What kind of coverage foils this wideout and is there a role he best fits in?
-Is this receiver capable of excelling if tasked with a greater workload?
These are the questions I believe Reception Perception helps us answer and the ones I care most about understanding. The goal is to provide unique data and information about NFL Draft prospects and current pro wide receivers. I believe more information is always powerful. Reception Perception is just one evaluation tool in a litany of those available to football observers. I’d caution readers against following the words of any analyst who believes their method is anything but just one piece of the puzzle. Yet, I do believe this particular tool is a tremendously useful one.
Now that Reception Perception is in its second season of a partnership with The Fantasy Footballers, the series is able to provide more of that unique information on a wider variety of players than ever before.
Route Percentage – how often a receiver runs each pattern on the route tree.
Success Rate vs. Coverage scores – how often a receiver gets open against the defenders covering him. A success is charted when a receiver “gets open” against the coverage. Creating separation, enough for the quarterback to have a reasonable target, is marked as a success. The only plays that are automatically given as success to the receiver are instances where a receiver is obviously held or interfered with (called or not). These plays make a big difference to an offense, and signify a receiver winning yards for his team by forcing the defensive back to hold him.
There are five formats for Success Rate vs. Coverage scores:
– Success rate against man
– Success rate against zone
– Success rate against press
– Success rate on each type of route run
– Success rate against double coverage
Alignment Data – charting where a receiver lined up on each snap (slot, outside right, outside left or in the backfield), and whether they were on the line of scrimmage or not.
Target Data – fairly self-explanatory, but we go beyond just raw targets, receptions and catch rate. Reception Perception tracks how many times a receiver was targeted per route run, and how many routes they caught a pass on. This shows true involvement in the offense. The series also features a drop rate.
Contested catch conversion rate – how often a receiver successfully catches a pass where he is in traffic and has to leave his feet.
In space metrics – how often a receiver gets an opportunity to run in the open field and how often they get dropped on first contact, breaks a tackle, or breaks multiple tackles on those plays.
Within Reception Perception, there are two main graphics that help illustrate the metrics, both of which received yet another a facelift this offseason. We’ll take an early look at the route charts of James Washington, an NFL Draft prospect out of Oklahoma State, as an example.
Here’s is Washington’s Route Percentage chart from his 2017 season, showing how often he ran each route on the route tree in his Reception Perception sample:
In addition to the new look, readers now get more context from the chart than ever before. The routes are highlighted to show how often a receiver runs a particular pattern compared to the historical NFL or college prospect Reception Perception averages.
Red route – below the average
Green route – above the average
Yellow – within the average
Here’s how you’d use this chart: after looking over all of his routes, you can see that James Washington ran intermediate and deep routes (dig, post, out and nines) at or above the average rate of all sampled wide receiver prospects. Now you know he was primarily asked to be a vertical threat in college and can use that information to project his skillset to the pro game.
Here is Washington’s Success Rate vs. Coverage route chart from his 2017 season, showing how often he got open on each individual pattern on the route tree in his Reception Perception sample:
The same new context is provided on the success rate chart with the highlights to show how the player’s Success Rate vs. Coverage score compares to historical NFL or college prospect averages collected by Reception Perception.
Red route – below the average success rate
Green route – above the average success rate
Yellow – within the average success rate
Here’s how you’d use this chart: James Washington is really good. No, for real, by looking at this chart you learn that Washington created separation at all levels of the field. He not only thrived on the deep routes that he ran most often, he also got open on short patterns and shows the ability to win on multiple patterns. It’s a really encouraging sign for his NFL projection.
By partnering with The Fantasy Footballers, I believe that Reception Perception has reached a new set of readers, while giving out more content and data on a wider berth of players than in any of the previous three years of the series’ existence. The decision to house the series here was made with the reader right in the forefront of priority. I will now be able to produce a higher volume of content and in a more clear and organized fashion than I ever possibly could have on my own.
With that out of the way, here is a layout of what you can expect from the series this offseason:
- Full Reception Perception data and written evaluations on at least 15 NFL Draft wide receiver prospects in a free series of articles prior to the college selection process in May.
- Full Reception Perception data and written evaluations on The Fantasy Footballers’ Top-50 ranked wide receivers for the 2018 NFL season with the purchase of their Ultimate Draft Kit this year, which is already available for preorder.
So, there you have it; a sample of the wide array of data you get by following Reception Perception. Make sure to use the #ReceptionPerception hashtag on Twitter so you follow along with the series, and be ready for an unprecedented amount of content and findings from the methodology this offseason.