Week 6 Targets and Touches

Week 6 Targets and Touches

This report, Week 6 Targets and Touches uses metrics on Team, Position, and Player targets and rushing attempts. The more opportunity is the higher the chances for collection of your Team’s fantasy points. This information is meant for deeper thinking and note-taking. If you have deeper benches these metrics allow you to jump into new player shares early for gambling. That is how I use deep benches. I continue to rotate players at the bottom. Week 6 Targets and Touches

Lineup Diary

I would use these Team metrics with my rankings and snap reports to finalize the week 3 lineups. This process is not automatic and easy. I am urging all players to dig deep into their decisions. There is plenty of software to automatically set-line ups. I suggest using a notebook and record your process. This lineup diary can be useful for you to spot weaknesses or strengths in your game by the week or season.

Rankings Link: fantasy-football-week-7-rankings-with-uncertainty/

Snaps Report Link:  week-6-snaps-report 


A Visual Plot of Target Averages Vs Weeks 1 to 6

I have discussed my top-down approach to data analysis. These bigger views allow a deeper feel for the deeper data. Below is the table of Team Target Averages using the first 6 weeks of target data. Week 6 Targets and Touches.

Green to Red Highs to Lows in Weekly Target Averages by Team. Blue to Red highlights the High Target Averages vs Low Target Team Averages. Additionally, the Scaled Target Averages show each Team’s metric vs the League average. 

LAR is the top Team for Team Targets at 5.9 which is 1.5X above the league average. This is an extreme team. The opposite is TEN/SF at 3.3 Targets Per Player Per Game. They are a -1.1X below league average. In PPR more to Higher Teams. I labeled the High Teams in Green vs Lowest Teams stained by Red. 

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Plot to See Team Scaled Target Averages Weeks 1 to 6

Visualize the High vs Low Passing Teams. Commit to memory for increased speed to analyze lineups and DFS plays. FYI LAR vs ATL game is a shoot with the 1st and 3rd most passing teams. DFS stacks aplenty! 

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Teams With Positional Targeting Metrics Weeks 1 to 6

I provide a broad landscape of data. These tables include:

  • Weeks 1 to 6 Target Averages.
  • Average Targets.
  • DIFF (Difference in Average Targets for that Team’s Position from the Last 2 Games)
  • %TT (Percentage for that Position’s Targets vs Total Team Targets-Usage Metric)

I use the DIFF to see recent changes. Why? The %TT metric displays the positional usages and level of importance for the Team. An injury in a weakly used position is not as critical as a strongly used position. Highly used positions can be deeper into the significance of players. Also, a change in players in weakly used positions can inspire change and you can catch on before others. 

Focus on the extremes and unusual %TT! 


ARI_ATL_BAL_BUF

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CAR_CHI_CIN_CLE

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DAL_DEN_DET_GB

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HOU_IND_JAX_KC

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LAC_LAR_MIA_MIN

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NE_NO_NYG_NYJ

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OAK_PHI_PIT_SEA

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SF_TB_TEN_WAS

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Summary Plots of Positional %TT and DIFF

These figures highlight the landscapes for each position. The extremes will be of critical interest. Highest in Green and Lowest in Red! 

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Player Centric Target Metrics within Team Environments

Following up on the positional analysis above, I turn to player level metrics for a deeper understanding. I sorted players by %TT within the position. Find the extremes and pecking order for injury. Great reference for Week 7 in case of injury, just come back here and see the next man up. Also in high use situations, stashing key handcuffs is a solid approach in deeper bench teams. 

  • Team
  • Position
  • Players
  • Weeks 1 to 6
  • Average Targets
  • %TT 
  • Plot of Players vs Position and %TT

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Player Average Targets and %TT by Position

I also like to see the player within the position outside the team. What is the player’s success relative to others in that position in terms of %TT?  One might propose that this list is the order of handcuffs as well. CMC’s handcuff could be worth more than 2.5% than Karma’s handcuff etc. Just a mental exercise to craft stashes in deeper leagues. 

I love to generate the various levels of Target metrics to “catch” all the data for interest. I use to think about my teams, drop/adds/and lineups. You must chase multiple data streams for a full landscape in my thinking.

One might jot down key observations by teams, positions and or players. Then try to fit these elements together. Practice and note in your playing diary (Handicap your own decisions). Please let’s move away from the tire line “They told me to do it”!

Own your line-ups!

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RBs

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TEs

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WRs

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Team Level Running Back Average Touch Metrics

As RBs can rush as well as pass-catching, we must look into the combined role they have on a team. The “touches” metric tracks this RB activity and enables a deeper view of the Team’s RB usages. 

This table presents the Team Level Running Back Average Touches from Weeks 1 to 6, Average Touches, Scaled Touches, and DIFFs. These metrics are a landscape view of the leagues and teams. High Touching Teams would have significant RBs in PPR while Low Touching Team would not. Focus on RB committee structure and pecking order in case of injury as these new players should inherit a nice situation.

High RB Touch Teams- Green Stained DEN/DAL/SEA/JAX/HOU/TEN/ARI/IND/GB

Low RB Touch Teams- Red Stained KC/BAL/DET/BUF/OAK/NYG/MIA/MIN


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A Plot of Average Touches and DIFFs

DIFFs capture recent changes – Purple Line. Above 0 increasing Touches/Below 0 decreasing RB Touches.  DAL high touche team that increased in DIFF! vs SEA High Touch Team with large decrease in touches.  Look for extremes and unusual patterns.

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Players RBs Touches Weeks 1 to 6, Average Touches, and DIFFs

Looking within Teams for RB pecking orders, DIFFs in touches, and Averages in Touches. These give us clarity for the Teams RB crew. Look for new improving players or declining players. Note the extremes and then add or drop players accordingly.

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DIFF Metrics High to Low

Note the extremes. Note Snell/Williams/Brown/McCoy/Henderson/Mattison.  These may be key stashes for the season. Burrow through this data for key players. 

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RB Average Touches with DIFFs

This table lists the more common know players. Look to DIFFs to see extremes in Touch changes.

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