Week 10 Targets and Touches

Week 10 Targets and Touches

This report, Week 10 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.

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-11-rankings

Snaps Report Link:  week-10-snaps-report

Defense Against the Positions Week 11 to 16: 

defense-against-the-positions-weeks-11-to-16


A Visual Plot of Target Averages and Rated from Weeks 1 to 10

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 10 weeks of target data. Week 10 Targets and Touches.

Average of Team Targets is shown in  Purple to Yellow (Highs to Lows). More PPR scoring from High Target Teams.

  • CAR/LAR/ATL/NYG/DAL/CIN/PHI have been the season’s target leaders so far! 
  • BAL/SF/TEN/WAS/OAK/MIN/IND/BUF are the lowest target producing teams

Targets Per Snap (Rate) gives a speed based input into a Team’s targeting activity. Faster targeting should imply more Fantasy Points generated. Key into those players on the faster teams.

NO/KC/MIA/NYJ/ATL/DAL are the top fast targeting team. I note the teams I did not expect in here. MIA/NYJ/ATL are the teams with poorer win records but their pass-catchers could be a key asset from these teams.

HOU/BAL/SF/SEA/PHI/IND are the opposite types of teams. On average the pass-catchers from these teams might be under-used and could improve until favorable game scripts!

Note ATL is high in both Targets and Rate. Why? PHI is High in Targets but slow in dealing them out? PHI has room to improve but will that happen this year?

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Additionally, the Scaled Team Averages and Rates show each Team’s metric vs the League average. Key on the extreme teams for DFS plays this week. Week 10 Targets and Touches.

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Plot to See Team Scaled Target Averages Weeks 1 to 10

Visualize the High vs Low Passing Teams in Targets and Rate. Commit to memory for increased speed to analyze lineups and DFS plays. 

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Summary Table of Targets and Rates

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Weekly Team Data from Weeks 1 to 10

I would scan the weekly data in the 4 segments of Team classification (High/Above Avg/Below Avg/Low as shown by colorization Green to Red).

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A Plot of Week 1 to 10 Target Averages

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A Plot of DIFF and LATE/EARLY Targeting Metrics By Teams

Tracking Team changes are useful for your lineups and DFS plays. The colorization of week 1 to 10 target averages for each team allows a scan of the trends for that team. Week 10 Targets and Touches

The DIFF 2GM metric is also included and that measures changes within a team’s last 2 games.  I sorted the team column by both the DIFF and LATE/EARLY by high to low. The last column is the Late vs Early Targeting metric that captures the last 5 weeks vs first 5 weeks

Note CAR/CLE/LAR/BAL/DAL/BUF/IND/ARI/CHI/KC were a higher targeting team in the last 2 weeks (DIFF 2GM).

On the other hand, NE/WAS/NYJ/CIN/HOU/TEN/SEA/GB/ATL/LAC were the teams that have declined within the last 2 weeks (DIFF 2GM). 

MIA/DET/SF/TB/MIN/SEA/NYJ/TEN (Late vs Early) have shown a nice resurgence in target levels over the season. New worth then for players on these teams.

A concerning drop, however, was seen in LAR/WAS/DEN/ATL/OAK/BUF/ARI/PIT/BAL/PHI. Why this trend? Caution. I used Stars to Highlight the HIGH DIFF 2GM Teams within the Late vs Early context? Consider the trends.

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A Plot off Team Targets DIFF 2GM vs Late/Early DIFF

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Teams With Positional Targeting Metrics Weeks 1 to 10

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

  • Weeks 1 to 10 Target Averages.
  • Average Targets.
  • DIFF (Difference in Average Targets for that Team’s Position from the Last 2 Games)
  • Late vs Early DIFFs (last 5 weeks vs first 5 weeks of data-Big Changes)
  • %TT (Percentage for that Position’s Targets vs Total Team Targets-Usage Metric)
  • A plot of each team’s positions and their %TT

I use the DIFF 2GM to see recent changes. Why?

The %TT metric displays the positional usages and level of importance for the Team’s positions.

An injury in a weakly used position is not as critical as a strongly used position. Highly used positions imply the high significance of players. Also, a change in players in weakly used positions can inspire new performances within the team and you can catch on before others. 

Focus on the extremes and unusual %TT! 


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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 Data Table and Plots of Positional %TT 

These figures highlight the landscapes for each position. The extremes will be of critical interest. Highest in Green and Lowest in Red! Move-in PPR to the higher targeting teams. 

These positions are sorted by %TT (Purple to Yellow) and that key us to the value of each position to their team. 

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CHI/ARI/NYJ/PIT/WAS/JAX/GB/MIA/NE are Team’s where the RB position is very valuable in the passing game.  

Running Backs Targeting

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%TT Vs TEAM RBs

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Late vs Early DIFFs in RB usages

DAL/TB/DET/GB/HOU/PIT/CLE have all used their RBs more in the last 5 weeks.

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SF/BAL/OAK/PHI/KC/TEN/CAR/NYG are teams where the TE position is very valuable in the passing game. 

Tight Ends Targeting

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%TT Vs TEAM TEs

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Late vs Early DIFFs in TE usages

LAC/MIN/NYJ/TB/MIA/SEA/NE/GB have all seen an Uptick in TE usages in the last 5 weeks.

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TB/DET/CIN/CLE/LAR/HOU/NE/BUF are Team’s where the WR position is very valuable in the passing game. 

Wide Receivers Targeting

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%TT Vs TEAM WRs

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Late vs Early DIFFs in WR usages

TB/CIN/CAR/SEA/TEN/SF/DAL have all improved in WRs Targeting in the last 5 weeks.

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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.

A great reference for Week 11 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. 

Now is the time to set your teams for the playoffs!

  • Team
  • Position
  • Players
  • Weeks 1 to 10
  • Average Targets
  • %TT 
  • Late vs Early 

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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 4% 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. Players can use and 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).  Own your line-ups!

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RBs

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TEs

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WRs

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All Positions Compared vs %TT Metrics

I wanted to see the players and where they fit from Team %TT High to Low. Interesting to see that CMC is the only RB in the top 24 %TT players. Andrews and Ertz were the only TEs in the top 24 also. PPR league etc are biased to the WR pass catchers and this data shows that in the top 24 %TT players,  WRs are 21 out of 24! Clear Bias!

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All Positions Compared to Late vs Early Metrics

High Improvement in the first block was seen in 15/24 WRs, 3/24 RBs, and 6/24 TEs. Most of the players may not be on the waiver wire but scan through for pickups. Also in DFS many of these may be in positive matchups. Find bargains!

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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 10.

  • High RB Touch Teams- Blue Stained
  • DAL/JAX/SEA/HOU/DEN/TEN/CAR/CIN/CLE 
  • Low RB Touch Teams- Red Stained 
  • KC/BAL/DET/OAK/BUF/MIA/TB/LAR/ATL

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Plot of Team Touch Averages

Nice Team RB Touch Profiles. Judge the team differences for handcuffs, DAL is number one and Pollard may be the top handcuff to have etc! 

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Last 2 Game DIFFs, and Late vs Early Season Touches

DIFFs capture recent changes – Look for extremes and unusual patterns. Focus on improving Teams! The table lists the Team’s RBs from Improving to Declining. Move toward the improving team RBs. Maybe new handcuffs are now a target? 

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A Plot of Team Touches 2GM and Late vs Early 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. Purple highlights the Late vs Early Metrics while the green line is the zero line for the DIFF 2gm Metrics. 

Scan through the plot for key team metrics.  MIN has improved in RB touches in the last 2 and 5 Games as well while a Team like HOU (high overall RB Touches – 10 Weeks) has declined in 2 and 5-week timeframes

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Players RBs (Within Teams) Touches Weeks 1 to 10, Average Touches, and Late vs Early 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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Players RBs Average Touches, and Late vs Early Metrics

Players have been sorted by Average Touches from High to Low (Green to Red). Focus on all the layers for handcuffs and those RBs with independent value as well! Use DIFFs to catch new players on the field etc. Use the Late vs Early to “see” big changes.  Week 10 Targets and Touches.

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Extremes in Late vs Early in RB Touches

Concerns for Kamare/D Johnson/Ekeler/CMC/Gurley.

Improvements for Gordan/Coleman/Murray/Barkley/Peterson etc.

DFS for week 11 key data.

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Week 11 Targets and Touches

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