Targets Per Minute Week 2 

By John Bush

Targets Per Minute Week 2 

Targets Per Minute Week 2 report looks at the use of weekly target numbers by position, player, and by the team. This metric is useful in fantasy football especially in PPR scoring formats where receptions count.  The tables below provide target data for the running back, wide receiver, and tight end positions.

Green/Blue colorization of the weekly target per minute numbers highlights players at the top of the position group, i.e., many targets per minute, while red colorization of the weekly target numbers denotes players toward the bottom of the position group, i.e., fewer targets per minute of play.

Compare and contrast the data and envision this week’s game scripts by using all your resources including this one.

See my snaps report click link

Snaps Per Week 1 and 2 Report


Team Level Avg of Targets Per Min

A player plays with a team and I wished to use figures and graphs to frame the weeks 1/2 data from each team.  Note that ARI had the clear highest targets per minute of 0.231  Targets Per Min while DAL had the lowest at 0.107 Targets Per Minutes (weak). 

I annotated the Team groups by color (Green High Targets per Min) to Red (Low Targets per Min). This data does not follow FP scored but give you a view of the Team’s attempts to develop a game flow. DFS/Lineups can be supplemented by these data. 

I also include the Average Points Scored Per Game Metric (FP/G) to view levels of success. 

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The landscape view sees across the league. I assume more targets per minute of team play is an overall advantage to pass catchers and QBs.  Efficiency is not noted in these metrics though but can be inferred by comparing the Points/Game (Red Line). 

It is clear that some teams do well with higher passing targets generated by a minute (see DET, LAR and NO). However, teams like ARI, NYG, ATL, and PHI who generate high targets per minute have scored much less. 

Slow teams such as NYJ, KC, and BAL have scored well but DAL, BUF, OAK, MIA, and CHI have not scored as well. 

Thus this data needs to be placed into context but looking at it invites further investigation into the reasons for the team targets per min speed! 

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Targets Per Minute Team Positional Analysis

Color-coded Average Targets per Minute. Just Scan the team’s landscapes to fine tune your analysis. I have color coded Avg of Targets per Min as well as Team Usages in Targets per Min. These metrics give a deeper taste of each teams offensive patterns. This only gets better into the season so come back! 

These metrics are based on weeks 1 and 2 averages for each team’s positions. I then determine team usages for each position. Finally, I placed in the context that the team’s usage numbers as compared to the league average for each position. 

Scaled Avg Diff

The Scaled Avg DIFF if highly positive (green) indicated this team is using that position in passing much more than the league as a whole. This Metric I invented gives a landscape view of each team’s passing. 

For example in ARI, they have been using their TEs in passing at 23.3% above the league average. (Not successful of course but still shows usage). On the other hand, ARI has been passing to WRs at a -33% below average rate. Sad number. That may be some of their issues. 


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Positional Level Usages and Avg Targets Per Min

I now focus by position to see the extreme team usages in the passing game as measured by targets per minute.

Running Backs

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CAR, LAC, WAS, DAL, JAX, NO, NYG, and DET were the extremes in week 1/2. Knowing JAX was was at the top pushed TJ Yeldon as a pickup. Ekeler in LAC needs to be owned in PPR.  Riddick in DET is a solid pickup as well. 

KC, DEN, HOU, PIT, CLE, GB and PHI were the weakest in passing RBs. Watch these teams to see if this trend changes. 

The graph below highlights the averages vs team usages across the league. Nice way to view the landscape! Use as needed. 

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Tight Ends

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4 teams stand out for weeks 1/2. They are Kittle SF, KC Kelce, NE Gronk, SEA (?) and Oak Cook. I would gamble with picking up Cook if needed. Trade for the others. This may be a seasonal trend! 

Concerns for TEs in Det (L Wilson?), Min Rudolph, CAR (?), LAC (Green Gates), NO (Watson), Cin (Effiert), CAR (Thomas?), and Engram (NYG). Trade away if they score well this week? 


The graph below highlights the averages vs team usages across the league. Nice way to view the landscape! Use as needed. 

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Wide Receiver

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I nice block of 10 Teams that seemed to have a high WR usage in weeks 1/2. 

LAR, HOU, DEN, DET, GB, TB, ATL, PIT, NYJ, and MIN. These would be teams whose WRs would be of high interest to me for week 3 lineups, acquisition targets, and DFS! 

The flip side of the metrics points to SF, WAS, KC, CAR, OAK, NE, ARI, and DAL as using WRs lightly. I would have concerns in the week 3 in my lineups and DFS. This data shown does invite further study! 


The graph below highlights the averages vs team usages across the league. Nice way to view the landscape! Use as needed. 

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Running Backs Averages of Targets per Minute Week 1/2

The focus shifts in my article to the player level. We begin with running backs. In Week 1/2 the most improved RB pass catchers were measured by Positive DIFF metrics were Barkley, Thompson, Grant, McCaffrey, Bernard, Clement, Riddick, Powell, and Prosise. These can be on the waivers and should be acquired. 

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Interesting weak pass catching RBs in DIFF from Week 2 were Richard, Johnson, Kamrar, Lewis, Hines, Gordon and Carson. All of these are on our watch list for any improvements. In PPR these are significant RBs and increased pass-catching can increase their value. Potential Trade targets in PPR? I do have concerns on Richard, Lewis, Hines, and Carson going forward! 


Tight End Averages of Targets per Minute Week 1

The top TEs in week 1/2 DIFFs were Perkins, Rudolph, McDonald, Herdon, Kelce, Vannett, Reed, Butt, Hollister, and Howard. Stay awake to further improvements. 

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Concerns for Cook, Kittle, Griffin, Swaim, Gronk, Doyle, Smith, Goedert. Be cautious. 


Wide Receiver Averages of Targets per Minute Week 1

Key top WRs include the usual suspects in the week 1/2 DIFF metric for improvements. JuJu was at the top of the list of DIFF, also we had Fuller. Evans. Cooper, Robinson, Diggs, Ridley. Aiken, Smith, Pryor, Higgins, Washington, and Brown. Several of these are still on waivers and should be acquired if needed. 

The data will get better into the season. Trade targets in here? Too early to trade? Interesting debate! 

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Concerns go out to Jones, Cobb, Thomas, OBJ, Davis, Benjamin, Sanders, Allison, Golladay etc. Trade high? Caution for week 3. 


Players by Team Average Targets Per Minute

I next wanted to give a team landscape view of players in their natural habitat. I used colorized annotations to highlight the highs and lows on each team. 

These team metrics give the view into:

  • Positional Usages
  • Positional Pecking order
  • Strengths/Weakness of a Team
  • Use in case of injury for next man up. 
  • Consult each week metrics to see Team shifts that pundits miss
  • Compare players to positional averages for reference. I suggest one position at a time to analyze. 

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PLAYERS that I found interesting from my Week 1/2 Metrics.

DFS, Lineups, Trades and Waiver Wire consideration. See X for special focus! Good Luck Week 3. 

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