Targets Per Snap Weeks 4 to 1 2017

By John Bush
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Updated: October 4, 2017

By John Bush

Targets Per Snap Weeks 4 to 1 2017

Targets Per Snap Weeks 4 to 1 2017 analysis starts with a landscape view of each team’s total number of players targeted by the week. How concentrated are each team’s targets?

Interestingly, in the following table, the least concentrated targeting team was PIT and the most targeting team was NE. I used this data to look for adding players or in trades.

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The teams at the bottom of the table are distributing their target to fewer players. Finding a 2 or 3 deep player there may be more valuable than commonly thought!

Targeting Concentration Per Team- #Players Targeted

Total Weekly Team Targets per Snap.

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

The Bottom Boys are IND, DEN, BUF, JAX, WAS, HOU, and CIN

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

Targets Per Snap and Week 3 to 4 % Changes for Positional Usages

The next tables present teams and their positional targeting per snaps. I included week 3 to 4 % Changes in Targets/Snap.

Look closely at all the critical team depth charts with all this data in mind! This is required metrics for your bye week replacements coming up!

Team Targets per Snaps Averages for Weeks 1 to 4

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

Running Backs

NO, CHI, ARI, and LAC are the top RB users. The Deeper RB Players can have value vs the Bottom teams in IND, DEN, TEN, and TB!

Tight Ends

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

Wide Receivers

The best teams for WRs by targets per snap are MIA, ATL, TB, SF, CHI, and NYG!

Interesting names at the bottom. WAS jumps out to me as a bottom team as its two WRs highly drafted have done little! Watch for changes after the Bye!

Players Targets Per Snap Scaled to the Average

Scaled the Data (0 to 100) allows us to look at the positions and compare players. If the top TE is compared to the top RB then both players would be rated 100. Simple numbers might be like 5 to 10 and would not factor in the natural bias to WRs etc.

My numbers allow judgments across teams and positions in trades, adds, drops or lineups! Grouping within teams gives you that comparison as well in the event of injury etc.

Top Players % Change in Targets Per Snap Weeks 3 to 4

The tables are segmented by RB, TEs, and WRs. Each table is followed by an area graph for a visual view of the data. I scaled the data to the positional averages to add meaning to these graphs. Clearly, see the tops and bottoms in the NFL!