Targets Per Snap Weeks 7 to 1 2017

Slide1

By John Bush

Targets Per Snap Weeks 7 to 1 2017

Targets Per Snap Weeks 7 to 1 2017 analysis starts with a landscape view of each team’s total number of players targeted by the week. 

How player concentrated are each team’s targets?

Interestingly, in the following table, the most concentrated targeting team was PIT and the least concentrated targeting team was CLE.

I used this data to look for adding players or in trades.

The teams at the top of the Graph are distributing their targets to more players. (CLE, TB, NO, NYG, and WAS).

Finding a 2 or 3rd level deep player there may be more valuable than commonly thought!

______________________________________________

Targeting Concentration Per Team- #Players Targeted

Slide02

Slide03

______________________________________________

Total Weekly Team Targets per Snap.

The top teams in numbers of Targets/Snap are ARI, NE, LAC, CHI, ATL, and NYG

The Bottom Boys are IND, WAS, HOU, CIN, PHI, SEA, and DET

Combining Concentration and Target per Snaps give you an insightful view of each teams targeting plans each week.

Players from the Bottom Teams had better be efficient and score more. 


Slide05

______________________________________________

Targets Per Snap and Changes from Weeks 5 to 7 vs Early Season 

How has the Team’s Targets per Snap changed? Why?

Two important questions!

Note that Team like DEN, BUF, IND, TEN, and JAX have seen a nice uptick in Targets per Snap. Passing catching RBs, TE and WRs might be a better deal from these improving teams for your fantasy team. 

Fantasy Players get locked into ideas and patterns from the early season (Confirmation Bias) as well as last week (Point Chasing Recency Bias). 

**”Confirmation bias also called confirmatory bias or myside bias is the tendency to search for, interpret, favor, and recall information in a way that confirms one’s preexisting beliefs or hypotheses. It is a type of cognitive bias and a systematic error of inductive reasoning. People display this bias when they gather or remember information selectively, or when they interpret it in a biased way. The effect is stronger for emotionally charged issues and for deeply entrenched beliefs.” ** Wikipedia Confirmation Bias

Look closely at all the critical team depth charts with all this data and keep your early season Bias in mind to be ready to change and move onward!

This material is required metrics for your bye week replacements coming up! This data is required metrics for your bye week replacements coming up!  What team needs your investments from drop/add pool?

Note the Bottom Teams? ( CHI, NYG, LAC, ATL, PHI, and NO) What is happening there?

Slide07

Slide08

______________________________________________

Team Targets per Snaps Averages for Weeks 1 to 7 and Usage of Positions.

Most FF players focus on the WR but the real differences come out in the RB and TEs usages by teams.

These tables give you the Targets per Snap Team Landscape to see the usages within each team.

Slide10


Slide11


Slide13


Slide12


Slide13


Slide14


Slide15


Slide16


Slide17

____________________________________________________________________________________________

Running Backs

LC, ARI, CHI, NO, BUF, NYJ and NE are the top RB users. The Deeper RB Players on those teams depth charts can have value vs the Bottom teams of TEN, ATL, IND, PHI, HOU, CIN and PIT.

WHY are these teams at the bottom?

Slide19

Slide22


Tight Ends

The top teams are NYG, MIN, NE, GB, OAK, TB, and TEN! Be thoughtful for bye week replacements. Its a tough year for TEs so far! This data can help you out!

Note all the buzz over Evan Engram in NYG! The top team in targets per snap for TEs! Rudolph is also back as MIN is doing well.

Should we like O’Leary in BUF as a play until Clay is back? He was not overwhelming last week! 

Slide20

Slide23


Wide Receivers 

The best teams for WRs by targets per snap are ATL, PIT, TEN, TB, SF, GB ARI, LAR, MIA, and NE!

Interesting names at the bottom. WAS, IND, LAC, and BUF jump out to me as bottom teams as some of their WRs highly drafted have underperformed!

Slide21

Slide24

______________________________________________

Players Targets Per Snap and Change in Last Two Games the Team Played

My numbers allow judgments across teams and positions in trades, adds, drops or lineups! Not if a player has one snap and is the targeted they will earn a perfect score of 1. See Taiwan Jones! You must downplay such extreme data as the sample size is too small.

The data need context! You must think about what data I present! I am picking up as RB 4/5 Austin Ekeler! FYI for example!

Running Backs


Slide59Slide60Slide61Slide62Targets Per Snap Weeks 7 to 1 2017Slide63


Tight Ends

 Slide65Slide66Slide67Targets Per Snap Weeks 7 to 1 2017Slide68


Wide Receivers

My watch list includes Hollins and Moore. They have had 2 weeks of data and int he top segment. Watch.

 Slide70Slide71Slide72Slide73Slide74Slide75Slide76

 ——————————————————————————————

Team Positions and Players Targets Per Snap With 7 Week Averages

Team context is the final view needed for your decision! What is the position of the player you are considering? What is they recent role and usage?

Slide26Targets Per Snap Weeks 7 to 1 2017Slide27Slide28Slide29Slide30Slide31Slide32Targets Per Snap Weeks 7 to 1 2017Slide33Slide34Slide35Slide36Slide37Slide38Targets Per Snap Weeks 7 to 1 2017Slide39Slide40Slide41Slide42Slide43Slide44Targets Per Snap Weeks 7 to 1 2017Slide45Slide46Slide47Slide48Slide49Slide50Targets Per Snap Weeks 7 to 1 2017Slide51Slide52Slide53Slide54Slide55Slide56Targets Per Snap Weeks 7 to 1 2017 Slide57

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>