Identifying the gamers who may see extra targets in Week 14

Identifying the gamers who may see extra targets in Week 14


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Estimated studying time: 6 minutes


Welcome to the most recent installment of “Coach, I Was Open,” my ongoing statistics collection, the place I construct and refine a mannequin to foretell targets for each route in each NFL sport.

I created this mannequin utilizing route-level PFF knowledge to foretell the chance of every route being focused on each play within the NFL. This mannequin generates fascinating metrics reminiscent of “share of predicted targets” and “share of predicted air yards.” These metrics are extra steady and predictive than their precise counterparts.

The core thought behind creating this mannequin is {that a} participant could be “incomes targets” by persistently getting open and working helpful routes however not receiving targets for varied causes—reminiscent of quarterback stress, a misinterpret, or the quarterback forcing the ball elsewhere. After reviewing the movie, groups could acknowledge that sure gamers have been open and regulate their sport plan to contain them extra in subsequent weeks.

Later on this article, we’ll analyze quarterbacks’ decision-making in Week 13, highlighting each optimum and suboptimal selections.


Week 13 Recap

D.J. Moore was positively the headliner final week, ending with a consider it or not career-high 16 targets. This is precisely what the mannequin is trying to determine.

Marvin Harrison Jr. additionally noticed a career-high in targets (12) however didn’t actually produce any significant fantasy stat traces.

Xavier Legette (8) and Tucker Kraft (7) completed with their second-most targets ever.

Overall, I’d think about these examples a large success for the mannequin’s efficacy.

IDENTIFYING BREAKOUT CANDIDATES FOR WEEK 13 

Last time Ja’Marr Chase was our headliner, he produced 55.40 fantasy factors and noticed a whopping 17 targets. It was simply our greatest mannequin play of all the season. In Week 14, the Bengals land a stable matchup towards a Cowboys protection that enables loads of single-coverage conditions. The Bengals are a heavy move staff that doesn’t must be pushed to move the ball, so I anticipate a stable displaying from Chase this week.

This could be Calvin Ridley’s first look on this listing. As the Titans’ WR1, Ridley noticed simply seven targets in Week 13 however now faces a good matchup and a revenge sport towards the Jaguars. Over the previous month, Jacksonville has allowed the very best charge of single-coverage alternatives within the league. Ridley’s goal share jumps considerably in these conditions, growing from 23.5% to 39.3%.

Interesting word: Wan’Dale Robinson had the sixth-greatest distinction between “predicted targets” (6.3) and “precise targets” (2) on the season.

Check-in on the season leaders for Share of Predicted Targets:

Several gamers, together with Zay Flowers, Garrett Wilson and Keenan Allen, are coming into stable regression territory. These receivers have posted robust numbers for “share of predicted targets” however have but to totally capitalize on these alternatives. Essentially, they’re working helpful routes and persistently getting open, however varied components restrict their manufacturing. If they proceed this development of making alternatives, a constructive spike in efficiency is probably going on the horizon.

Malik Nabers has been the chief for all the season. He is elite however performs in an offense that’s nowhere near elite. He will proceed to battle so long as Tommy DeVito or Drew Lock is throwing him the ball.

Courtland Sutton is our new chief in “share of predicted air yards,” which means Denver is sending him downfield extra typically. This is a good signal for Sutton and Bo Nix, because it means they belief each gamers with extra deep (fantasy-relevant) alternatives.

Quarterback Optimal Decisions Week 13

The Predicted Targets Model permits us to guage a quarterback’s efficiency over a single sport, a collection of video games and even a complete season. This mannequin analyzes each route on each play, calculating the chance {that a} given participant will probably be focused based mostly on components reminiscent of openness, PFF grade, degree of separation and extra. By leveraging this route-level knowledge, we are able to decide whether or not the quarterback made an optimum choice. I filtered all the knowledge solely to performs the place there have been a minimum of two routes on a play in order that the QB needed to decide.

To simplify the evaluation, I categorized each choice into three distinct classes:

  1. Optimal Decision: The quarterback threw to the participant with the very best goal chance.
  2. Suboptimal Decision: The quarterback threw to a participant who didn’t have the very best goal chance.
  3. Bad Decision: The quarterback threw to the participant with the bottom goal chance.

Justin Herbert had one other tough outing in Week 13 relating to optimum decision-making, ending final within the NFL for the second consecutive week. While a decrease optimum choice charge isn’t at all times a nasty signal—generally indicating a quarterback’s willingness to make high-level throws, like “throwing a participant open”—Herbert’s 31.2% BAD choice charge is regarding. This implies that over 30% of his passes focused the receiver with the smallest goal chance, which raises questions. 

Herbert might want to clear this up for the Chargers to make a critical Super Bowl run. It’s price noting, nonetheless, that this metric isn’t essentially a measure of quarterback efficiency within the conventional sense—PFF grades are higher fitted to that. Instead, it gives perception into “how good it may have been” or “how dangerous it may have been,” making it a great tool for evaluating choice high quality.

Jameis’ day trip

Jameis Winston delivered some of the fascinating performances of the season, setting a career-high in passing yards whereas throwing six whole touchdowns—although two, sadly, went to the mistaken staff. For probably the most half, Winston demonstrated stable decision-making, however both the execution faltered on Cleveland’s finish or the Broncos’ protection stepped up with distinctive performs to capitalize on errors.

Looking at Winston’s second pick-six:

This snapshot may not scream “pick-six,” however that’s precisely what occurred. Winston releases the ball with stable anticipation, however the throw is barely off-target, touchdown on Elijah Moore’s left shoulder—the aspect closest to the defender, Ja’Quan McMillian. That positioning creates the proper alternative for McMillian to make an impressive play, outjumping and outmuscling Moore to snag the interception. McMillian then takes all of it the best way again for a landing.

In most situations, this setup would seemingly lead to a acquire of 5 or extra yards, however not this time. It’s price noting that the mannequin rated this as an excellent choice, with Moore having a 54% goal chance. However, this sequence underscores an necessary level: even probably the most optimum choices can unravel if the execution falters.

Justin Herbert made some fascinating choices final week

An alarming 31.2% of Herbert’s move makes an attempt (on performs with two or extra routes) in Week 13 have been labeled as “dangerous.” This means Herbert focused the participant with the bottom goal chance on the play almost a 3rd of the time.

This play begins with an easy dropback for the Chargers, devoid of play motion. Both Ladd McConkey and Stone Smartt are open early within the play, giving Justin Herbert two viable choices relying on his threat tolerance and confidence. However, as a substitute of capitalizing on both goal, Herbert hesitates, holds onto the ball, and scrambles to his left, regardless that the pocket is comparatively clear and there’s no speedy stress.

The body beneath captures the second Herbert lastly releases the ball after extending the play unnecessarily by rolling out for a number of seconds.

By hesitating and rolling out, Herbert allowed the defenders ample time to regulate, culminating in a poor choice. Stone Smartt, focused on the sideline in a contested state of affairs, had solely a 6% chance of being the optimum goal on this play. Unsurprisingly, he couldn’t safe the catch.

This serves as a primary instance of how an elite receiver like Tee Higgins or George Pickens would possibly elevate a quarterback’s output by making a troublesome seize in such situations. Unfortunately for Herbert, Smartt isn’t the kind of participant who can persistently bail out suboptimal choices like this one.