Week 2 Targets and Attempts

Week 2 Targets and Attempts

This report uses Week 2 Targets and Attempts metrics on Team, Position, and Player targets and rushing attempts. The more opportunities, the higher the chances for collection of your Team’s fantasy points.

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 for their decisions. There are plenty of software to automatically set-line ups. I subject using a notebook and record your process. This lineup diary can be useful for you to spot weakness or strengths in your game by the week or season.

Rankings Link: Week 3 Rankings

Snaps Report Link: Snaps Report


Overall Week 1 and 2 Targets and Attempts

This table reveals the week 1 and 2 Targets and Attempts data. Some have stated that the early weeks are closer to preseason. I wanted to see the overall metrics for weeks 1 and 2. 

The numbers are fairly close except the level of RB targeting went down 14% and TEs dropped 13% in week 2.  I like to consider the entire league trends as I look into week 3 lineups. I will continue to monitor these megatrends. 

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Team Level Rushing Attempts over Weeks 1 and 2

I present the league level Team rushing attempts sorted by high to low of the first 2 weeks rushing attempts totals. Additionally, I calculated a DIFF week 2 vs 1 Metric. The teams with increased rushing in week 2 would be greater than 0 and green colorized (Green Stars) The teams that dropped in rushing would be below 0 and red-stained. (Red Stars)

The top teams (green colorized) were SF>NE>MIN>IND>BAL>DAL>DET>GB>LAR>SEA>TB. I suggest the handcuffs from these teams might be a priority. 

The opposite teams would be those whose secondary RBs might be useful for trades and dropped for other players. These teams were MIA<pit<ari<jax<atl<nyg<was,chi</pit<ari<jax<atl<nyg<was,chi


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A Plot of Rush Attempt Totals and DIFF Metrics by Team.

The BLUE Bars mark each team’s rushing attempts total. The red line charts the DIFF metric from week 2 vs 1 rushing attempts. The pink line delineates the 0 DIFF line focusing on team improving or declining in rushing.

Interesting Extremes: SF is the highest rushing team with a week 2 increase as well. BAL, on the other hand, saw an extreme drop in week 2 rushing. Other declining teams were PHI, OAK and ARI. Improving teams were GB, BUF, CIN, CHI, and WAS.

I will continue to monitor these trends. Secondary players could be wavier targets or drop candidates further into the season.

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Team Level Passing Targets over Weeks 1 and 2

As with the rushing attempts these next two figures present the team targets over the first 2 weeks. The table below is sorted by total team targets high to low. Also, the DIFF metric between week 2 vs 1 is listed.

The top passing teams in terms of targets are CIN>NYG>DEN>ATL>PHI>ARI>WAS>CAR>KC>NYJ>PIT. Note several teams in this group have new QBs. We can monitor this as well.  These teams would have secondary and tertiary level players especially WRs of interest for adding.

Watch for injuries for deep players to arise on the scene. Think PHI this week. watch for JJA and Ahglor to show up with DJAX and Jeffery out? The opposite teams are weakly passing teams as stained in RED. Watch these teams for players to jettison from your team.

The DIFF metrics are used for extreme analysis.

DEN +33/CAR+19/KC+18/LAC+11/MIA+13/GB+16/OAK+16/BAL+14/SEA+28/MIN+28

ARI-12/TB-10/PIT-7/CHI-7/DET-6/BUF-6

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A Plot of Targeting Totals and DIFF Metrics by Team.

The BLUE Bars mark each team’s targeting totals. The red line charts the DIFF metric from week 2 vs 1 team targets. The pink line delineates the 0 DIFF line focusing on team improving or declining in rushing.

Interesting Extremes: DEN High and Nice Week 2 improvement vs ARI with high targets but week 2 declines in targets.

Improving teams in targeting were CAR/KC/PHI/MIA/CLE/GB/OAK/BAL/SEA/MIN

Declining teams were PIT/CHI/DET/NO/CLE/NE/LAR/BUF/TB

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Position Profiles for TEAM Targeting % from Week 1 and 2 with DIFFs

The following figures are a four-team profile with graphical plots of the %Team Targets by Position. Most look at players this scaled up to the team level and see the entire passing game as laid out by distribution of targets. These metrics give an interesting view of the team system of play.

Look for extremes and patterns within the data. For example, ARI WRs are 80% of the show but they had a drop in 11 targets in week 2 vs 1. Invites a deeper grab on the WRs there? BAL loves its TEs at 42% vs its WRs at 41%. These fun facts can drive your lineups in seasonal or DFS for week 3.


ARI_ATL_BAL_BUF

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Positional Plots for Team Target %

ARI_ATL_BAL_BUF

.

The plots that follow the tables within the Positional %TT section are bar graphs with Orange Bars for WRs %TT, Blue for %TT TEs, and %TT of RBs. I also placed average marking lines for different Positions. Now you can see the team pattern of targeting usages vs the league average.

Example, in ARI the WRs are highly used above league averages for WRs but their TE and RB %TT are below league average. I would note changes in the Team patterns as well as the success of the Team.

ATL and BUF use RBs

ARI, ATL, and BUF use WRs

Week 2 Targets and Attempts Slide10


CAR_CHI_CIN_CLE

CLE and CHI highly use RBs. CLE and CHI underuses TEs

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Positional Plots for Team Target %

CAR_CHI_CIN_CLE

Week 2 Targets and Attempts Slide12


DAL_DEN_DET_GB

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Positional Plots for Team Target %

DAL_DEN_DET_GB

DAL strong WRs usages.

DEN and GB nice RBs used

DET likes TEs

Week 2 Targets and Attempts Slide14


HOU_IND_JAX_KC

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Positional Plots for Team Target %

HOU_IND_JAX_KC

HOU uses their WRs.

KC uses RBs

Week 2 Targets and Attempts Slide16


LAC_LAR_MIA_MIN

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Positional Plots for Team Target %

LAC_LAR_MIA_MIN

LAR uses WR

LAC, MIA and MIN strong RB usages

Week 2 Targets and Attempts Slide18


NE_NO_NYG_NYJ

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Positional Plots for Team Target %

NE_NO_NYG_NYJ

NE, NO, and NYJ strongly using RBs

Week 2 Targets and Attempts Slide20


OAK_PHI_PIT_SEA

Week 2 Targets and Attempts Slide21


Positional Plots for Team Target %

OAK_PHI_PIT_SEA

PIT needs it WRs

OAK TEs are well used

SEA RBs are a focus.

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SF_TB_TEN_WAS

Week 2 Targets and Attempts Slide23


Positional Plots for Team Target %

SF_TB_TEN_WAS

TB needs its WRs

SF, TEN, and WAS use their RBs

SF and TEN are Team Friendly to TEs.

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Positional Target Metrics for Depth

These extend the Targeting metrics reach below the team level. I focus on amounts of targets (grand total), percentage of Team Targets (%TT), and Week 2 to 1 changes (Diff Week 2-1).

These give us a view of the positional usages as well as the level of importance of targeting and recent changes in targeting over the last 2 weeks.

RBs

Interesting RB Highs NYJ/MIA/GB/WAS/MIN/CIN vs TB/HOU RBs lows

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TEs

PHI/MIN/DEN/CHI improving

NYG/SF/GB/TB/CLE declines. These changes can point to new trends!

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WRs

CAR/MIN/SEA/KC/NYG/DEN/TEN/BAL improving in WR targeting

ARI/PIT/LAR/NYJ/CHI/DET/MIA declining WRs. Note new QBs?

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Player By Position Metrics

Changes in activity in rushing and or targeting for fine-tuning our Week 3 lineups and DFS! I used Green and Red Stars to highlight player extremes high vs lows. I use to note extremes in trends (stronger as the season moves on). These metrics give context to injuries, handcuffs, emerging players, etc.

This information is meant for deeper thinking and note-taking.  If you have deeper benches these metrics allow to jump into new player shares early for gambling. That is how I use deep benches. I continue to rotate players at the bottom.


RBs

So many takeaways for you embedded in these metric tables. Facts are your friends for tiebreakers etc in week 3.

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TEs

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WRs

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Team Context for Player Analysis: Rushing Attempts

These Team centric data focus onto the system the player is working within. Lists of players with numbers miss the background constraints the player is under. A WR in a RB/TE based Team vs one where WRs are heavily used.

I begin looking at rushing attempts. Teams that use RBs for rushing are different than those that do not. Look for extremes for further analysis.

Example DEN Freeman in targets? Improving by 14 targets week 2? Why? Will it continue. The deepest is correlating these data with game scripts etc. Was DEN playing close or from behind or ahead to explain Freeman targeting?

These tables include:

  • Team
  • Player
  • Week 1 and Week 2 Rushing Attempts
  • Sum of Rushing Attempts
  • DIFFs between Week 2 vs 1
  • Targets Week 1 and 2
  • Sum of Targets 
  • Diff Targets Week 2 vs 1

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Team Context for Player Analysis: Team Targets

These tables bring out the team and its style of targeting. I use the %TT metric in the last column to see the entire targeting patterns. I suggest this metric is very useful for lineups, DFS, and player drop and adds.

These tables include:

  • Team
  • Position
  • Player
  • Week 1 Targets
  • Week 2 Targets
  • Target Totals
  • DIFF week 2 vs 1
  • %Team Target Shares


Find the extremes and unexpected. The less common knowledge has more value than what everyone knows.

Stroll through and judge the players %TT.

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