Week 3 Targets and Touches
This report, Week 3 Targets and Touches uses metrics on Team, Position, and Player targets and rushing attempts. The more the 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 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 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.
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Rankings Link: rankings-week-4-all-in-one
Snaps Report Link: Snaps Week 3
Weeks 1 to 3 Targets, Average Targets, and DIFFs Weeks 3 vs 2
I have discussed my top-down approach to data analysis that are reflected in my Week 3 Targets and Touches. These bigger views allow a deeper feel for the deeper data. Below is the table of Team level Targets over Week 1 to 3. The highest targeting teams were stained in green as the lower targeting team in red.
Pass Happy Teams can provide an opportunity in PPR leagues especially for points.
ARI/NYG/CIN/PHI/WAS/ATL/LAC/KC/CAR/DEN/NE
While the low passing teams with fewer targets can be where caution should rule
MIN/TEN/SF/IND/GB/DAL/HOU/BUF/OAK/JAX
Week 3 Targets and Touches Average Targets
I plotted the average targets by Teams from high to low. The resulting BAR graph below contains that data. I colorized the high vs low teams in target by green vs red Bars. Use to frame the later player data. A higher targeted player on a low targeting team may have more value than thought. A low targeted player on a high passing team is a signal to trade or drop.
The Plot of DIFFs in Team Targets Weeks 3 vs 2
I use this targeting data to catch novel trends in player uses as well as within teams as well. Is a positive increase in targets a new team style or system or new players etc. It’s best to deep into the teams that show a nice increase over a season. As the data increases, we can view across multi weeks to catch grand trends.
Positive Increasing Teams in targets we NE/TB/TEN/LAC/IND. Why? New situation? Watch for confirmation.
Declining Teams were CAR (New QB?)/DEN/NYJ (New QB)/PHI/MIN/ATL
Positional Level Weekly Targets, Sums, , %Team Targets (%TT), WR vs RB Use and WR vs TE Use.
These series of figures in Week 3 Targets and Touches document a dense level of metrics in one view. These data tables need serious time to consider analysis. I included 8 teams worth of tabular data over weeks 1 to 3 followed by a visual plot of the Team’s positional targets.
You can perceive the team style of passing to each position. Extremes are always interesting and can direct moving to players or away from poorly targeted positions and players.
ARI_ATL_BAL_BUF_CAR_CHI_CIN_CLE
Find the extremes for further consideration. Example ARI TEs lowest in the league vs WRs are much higher in targetings.
Team Positional Sum of Targets ARI_ATL_BAL_BUF_CAR_CHI_CIN_CLE
Teams as ARI are way into WRs. BAL uses TEs, CHI uses RBs. Make these observations for further uses. CLE looks like ARI to me in a pattern. Thus allows a larger concept of positional uses patterns and what those patterns mean later in the season (2020 Textbook Idea).
DAL_DEN_DET_GB_HOU_IND_JAX_KC
Team Positional Sum of Targets
DAL_DEN_DET_GB_HOU_IND_JAX_KC
DAL needs to up its RB targets. Hou is weak as well (Duke struggles). DEN high RB use vs these teams! (Value for all RBs then?)
LAC_LAR_MIA_MIN_NE_NO_NYG_NYJ
Team Positional Sum of Targets
LAC_LAR_MIA_MIN_NE_NO_NYG_NYJ
LAC strong RBs as is NE, NO, NYG, and NYJ. MIN weak in WRs Targeting, and NE weak in TE uses. NYG loves their TEs while the NYJ do not so far (Changes with CH coming off of suspension? Pick him up?)
OAK_PHI_PIT_SEA_SF_TB_TEN_WAS
Team Positional Sum of Targets
OAK_PHI_PIT_SEA_SF_TB_TEN_WAS
OAK strong TE weak at WRs. PIT is all WRs as is SEA and TB. TEN Strong TEs while WAS was high in RB and WR targeting.
RBs, TEs, and WRs Positional Team Target %
Team Target % are determined by determining the number of targets from each position vs the team total targets. Which positions are highly targeted relative to the team. Analysis of these metrics spots team trends and targeting skews! Key for close decisions between players. Player A vs B from a high vs low TT% situation.
Consider TT% a measure of a Team’s reliance on that position. Teams use that position as a part of their passing attack! Injuries will then result in the next player up and they will inherit that Team’s usage level.
RBs
- Highly Used-
- CHI/NE/DEN/NO/MIN/NYJ/WAS/LAC/MIA
- Lowest Used –
- LAR/HOU/OAK/DAL/DET/ATL/BAL/CIN/PIT/TEN
TEs
- Highly Used-
- BAL/OAK/TEN/PHI/NYG/IND
- Lowest Used –
- ARI/NE/NYJ/LAC/CLE/MIA
WRs
- Highly Used-
- ARI/LAR/PIT/CIN/HOU/DAL/NYJ/BUF/NE/CLE
- Lowest Used –
- BAL/OAK/CHI/SF/DEN/KC/MIN/IND/PHI/NYG/TEN/JAX/NO/WAS
Player Level Weekly Targets, Target Sums, %TT, and DIFF Week 3 vs 2
These tables from Week 3 Targets and Touches give a Team by Team view of the Target Metric Landscape. I use to “see” pecking order, team usage, and recent changes in targeting activity. Looking for extremes and recent changes. I use to spot new player trends for actionable information in lineups in DFS and seasonal leagues.
I cut to the chase by annotating the player increases and declines by green X and red Z respectively. Move toward highly involved improving players and away for the opposite player types.
Running Back Players %TT
I sorted the players by their team importance in targeting using the %TT stat. Top RBs are household names but note Chris Thompson and Kenyan Drake as surprises. Note the DIFFs as well to add to the TT% status. Kamra, Burkhead, and Johnson. Bell dropped -6.
Tight End Players %TT
The top three all had increases in week 3 as well. Walker might be a trade target as the public is not as focused on him given the injury history.
Wide Receiver Players %TT
Evans increased as did Hilton. Kirk and Beasley also increased. Watch for the extremes.
Players DIFF Metrics Highs and LOW
I list the top increases and declining Players by Position of RB/TE/WR. Focus on the reasons for these changes. Just a great/bad game or a new trend?
Targeting Rates (Targets per Snaps) Positional Metrics
Note in this report I have walked around the data landscapes to see different aspects of the data. No piece of data is more important than a player’s targeting rate. The level os activity per the team’s plays should enlighten us as to the player’s opportunity.
I present the top players by the position which are worthy of your attention. I do note some players not so well know. Watch them for later season importance on their teams!
Team Level Running Back Touches from Weeks 1 to 3, DIFFs, Total Touches, Scaled Touches.
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 Week 1 to 3 touches, DIFFs Weeks 3 vs 2 Touches, Total Touches and Scaled Touches vs the League Average. 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 note.
Focus on RB committee structure and pecking order in case of injury as these new players should inherit a nice situation.
- The top teams in RB touches are
- SF/NE/DEN/MIN/DAL/BAL/IND/TB/DET/KC
- The lower touching teams were
- PIT/MIA/ARI/JAX/ATL/NYG/CIN/HOU/WAS/TEN/OAK/LAR
Bar Graph Plot of Scaled Team Touches Weeks 1 to 3
The green bars show the key teams in RB touches vs the red bars marking the low RB touching teams. SF is certain an extreme in the high touching teams but it has an RBBC and this lower the individual RB values. NE and DEN also have RRBC as well. MIN and DAL have bell-cow RBs and seem to have the best drafted RBs.
Player Touches Weeks 1 to 3 with Total Touches.
These table blocks give the week 1, 2 and 3 player touches followed by a touch total. These numbers were colorized to highlight the highs and lows.
Search for the highs and lows, pecking order, week 3 trends, possible handcuffs, and acquisitions.
Yeldon is the 3rd RB with nice touches.
DEN RBBC note TY Johnson Handcuff? GB story played out Thursday!
Darrel Williams 3rd RB
Gordons back and moves JJ back to 3rd RB
Drake vs Ballage?
Mattison stronger handcuff! Acquire and Hold!
Burkhead strong in this RBBC. Nice use.
OAK confused handcuffs?
PHI with Howard -see Thursday
SEA CJ is back? or 3rd RB!
SF 3-4 RBBC Role Players?
TB Note Jones moving past Barber? or 50-50 timeshare? Watch.
WAS AP vs Thompson clear roles to play. Steady.
Week 3 Trends in RB Touches with DIFF Week 3 vs 2
Tops and Bottoms in RB Touch DIFFs. Pollard_Jones_Yeldon might be on the wires.
Concerns on Murray/Samuels/Jones/Michel/Hyde/Barber
PPR Scoring vs RB Touches
PPR scoring by touches metrics can cut to the chase on player values. The extremes were highlighted by Blue to Red colorization (High to Low). The averages were also colorized and key players clearly identified as well.
Singletary clear leader at BUF
Cohen earns his way in PPR/Touches
Weak PPR/Touches by KJ DET
McCoy brings it in PPR/Touches as did Darrel Williams
Hines seems a viable secondary RB!
Hyde vs Duke seem equal.
Mattison key RB handcuff
NE is still split in a committee
Bell seems weaker than thought?
Howard vs Sanders Split
Conner not as strong as drafted
CJ surprise RB in SEA watch!
Wilson Goalline RB with scoring potential
Jones showing up over Barber
Thompson key WAS scoring RB!
Player PPR/Touches Metrics High to Low
Find the extremes for DFS tournament plays? Question the reasons from weaker metric players? Drop or trade?
