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Team Targets Per Minute Week 7

 

By John Bush

Team Targets Per Minute Week 7

Team Targets Per Minute Week 7 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/graphs below provide target data for the running back, wide receiver, and tight end positions.

Green/Blue colorization of the weekly targets and targets 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 reports click link

team-snaps-per-minute-week-7

player-snaps-per…nute-week-7-2018

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Targets Weeks 1 to 7 with Weekly, Total Targets, and DIFFs

Many players only look at raw target player metrics and that is it. These data expand that vision via team level. Players are a product of the Team and should have that as a component of your analysis. 

Below I have a sortable table** that lists the following:

  • NUM
  • TEAMs
  • Team Targets in Weeks 1 to 7
  • Total Average Targets for Team
  • First 4 vs Last 3 Games Team Target Averages
  • Last 3 Games Average Points Scored
  • DIFF Targets differences in the last two games

** Note the NUM column is presorted by Average Team Targets. 

NumTeamWeek 1Week 2Week 3Week 4Week 5Week 6Week 7TeamAVG of TargetsFirst4 vs Last3 DIFFLast 3 Game PointsDIFF
1IND52313961584223IND43.7-4.831.7-19
2BAL37533740573737BAL42.61.917.70
3PIT416038462743PIT42.5-11.327.716
4GB364043405044GB42.27.326-6
5MIN35485549363238MIN41.9-11.4296
6TB283350384052TB40.28.821.712
7JAX32453338602640JAX39.15.09.314
8PHI31473750323637PHI38.6-6.3241
9CLE39303641424533CLE38.03.516.3-12
10NYG36432941364336NYG37.71.121.3-7
11OAK393237573130OAK37.7-10.819.3-1
12ATL36283438444136ATL36.76.324.7-5
13CIN28404541304131CIN36.6-4.519.3-10
14DET515235292522DET35.7-18.329-3
15NO433549302828NO35.5-11.333.30
16NE39352535443535NE35.44.539.70
17DEN37353333513819DEN35.11.527-19
18KC25283743353636KC34.32.438.30
19CHI343435253046CHI34.06.035.716
20CAR254524333837CAR33.74.723.7-1
21HOU32283840442623HOU33.0-3.519.7-3
22SF32233036532327SF32.04.1264
23WAS294420383423WAS31.30.720.7-11
24LAC50273039262125LAC31.1-12.5284
25LAR33323632322824LAR31.0-5.331.7-4
26NYJ21413032222940NYJ30.7-0.73111
27DAL29233427292634DAL28.91.424.38
28MIA28232424323930MIA28.68.923-9
29BUF32332233192931BUF28.4-3.710.32
30ARI31232425183136ARI26.92.618.35
31SEA333326252023SEA26.7-7.819.33
32TEN37202140211432TEN26.4-7.210.318

High vs Lows Average Targets 

The table below lines up the highs and lows in league average targets. I used color-coded to assign teams a target type. Blue colorization is very high in average targets vs red annotated the bottom teams. 

In PPR especially, hard to back any WR depth in poor targeting teams. I do monitor trends for changes. 

Slide1


League Average Targets vs Last 2 Game DIFFs, Early vs Later DIFFs and Points Scored (Team Successes). 

Targets are great metrics but changes occur and some teams are efficient in their scoring. Let’s see the metrics here. 

  • IND -19 DIFF and some landscape level drop off in targets but very successful. 
  • BAL Poor Efficiency? Targeting is great but where are the points? 
  • PIT Nice Scoring with recent increases but lost -11 over the season. 
  • GB Average good scoring team
  • MIN good scoring but has seen landscape level -11 drops in targets 
  • TB Poor Scoring But increasing targets recently. Expect improvements
  • JAX Very Poor Success! Any hope? Has improved recently. 
  • PHI Ok scoring but nice recent targets
  • CLE poor scoring and targets recently.
  • NYG Poor Scoring. Targeting dropping
  • OAK Poor Scoring Recent dropping targets
  • ATL Good Scoring Targets ok 
  • CIN Weak scoring and targeting drops. 

You should complete the comments as your homework!

Slide2


Graphical View of Team Total Targets vs DIFF

This graph lets us focus on the landscape view of targets, change in targeting this season and success! 

The pink dashed line is the league average for points scored per game last 3 games. Teams above are successful vs unsuccessful below the average line. 

Those teams below the ZERO axis (left side axis) for seasonal targets early vs late. Red bars below vs above for team improving in targeting. 

Improving Teams GB, TB, CLE,, ATL, NE, CHI, CAR, and MIA

Declining Teams in targeting are PIT, MIN, OAK, DET, NO, LAC, SEA, and TEN

Slide3


TPM with Weekly TPM Metrics vs Average TPM, TPM Rankings, Speed and Balance

This mega table contains:

  • NUM
  • TEAMs
  • POS
  • Week 1 to 7
  • DIFF
  • First 4 vs Last 3 Games
  • TEAMs
  • POS
  • Average of Target_Min
  • % Usage in Team
  • Pos Rankings vs League
  • Pos Balance within the Team

I recommend using these metrics for a Team Targeting Diagnosis.

It’s that time of the season to make a change. If you are 3-4 or less,  team depth is not important. Winning now is everything. You must move from stockpiling to winning now! Trades etc are now! Do not continue to do the same things to lose again. 

The First 4 vs 3 metric compares the early season vs recent seasonal Team targeting. We are looking for improving teams. Caution for declining teams. 

% Usage is a metric measuring how does a Team distribute targets to its 3 positions (RB, TE, and WRs)

Pos Rankings are a scaled 100 to 0 ranking within all of a position as compared to the league. What team is using their RBs the most via targeting vs the least? 

Positional balance is another way to see the Team positional distribution. It’s an internal metric relative to the team. 

NumTEAMsPOSWeek 1Week 2Week 3Week 4Week 5Week 6Week 7DIFFFirst 4 vs Last 3TEAMsPOSAvg TPM% UsagePOS RankingsPos Balance in Team 
1ARIRB0.5950.2710.2110.1770.2020.1940.2060.011-0.113ARIRB0.14329.2%52.4%-4.1%
2ARITE0.2740.2320.2110.1420.0510.2720.137-0.135-0.062ARITE0.14730.0%47.3%6.4%
3ARIWR0.5490.3870.5920.5670.6570.7380.8910.1530.238ARIWR0.19940.8%34.5%20.5%
4
5ATLRB0.2510.1680.2390.2050.1940.1260.1860.059-0.047ATLRB0.08120.0%14.0%-13.3%
6ATLTE0.1440.2020.1700.1030.4540.3160.155-0.1610.153ATLTE0.12931.9%53.1%5.3%
7ATLWR0.8980.5720.7500.9920.7780.8530.774-0.079-0.001ATLWR0.19448.1%64.4%22.8%
8
9BALRB0.1990.2880.2650.1140.4380.0800.2640.1840.045BALRB0.11027.8%46.6%-5.5%
10BALTE0.3690.2880.1650.3410.3030.2400.189-0.051-0.047BALTE0.08621.8%22.4%-2.2%
11BALWR0.4820.8120.7940.6811.1800.6650.9440.2790.237BALWR0.19950.3%73.7%22.1%
12
13BUFRB0.2020.4460.1400.2770.1180.1820.4500.268-0.016BUFRB0.11334.2%73.3%0.9%
14BUFTE0.2830.2970.1120.3170.0890.1820.2620.081-0.075BUFTE0.09127.4%39.3%5.5%
15BUFWR0.8080.4830.3640.7130.3550.5150.450-0.065-0.152BUFWR0.12738.4%24.7%12.0%
16
17CARRB0.2940.5610.0880.1690.3250.243-0.082-0.069CARRB0.21040.6%100.0%7.3%
18CARTE0.1310.0990.1470.1690.3660.202-0.1640.120CARTE0.13927.0%38.0%7.2%
19CARWR0.3920.8250.4720.5920.8541.0520.1980.270CARWR0.16732.4%0.2%12.1%
20
21CHIRB0.3000.1450.1930.3190.3290.4310.1020.141CHIRB0.12328.6%49.7%-4.8%
22CHITE0.2700.1160.1380.1420.1650.3650.2000.098CHITE0.14934.8%61.9%11.0%
23CHIWR0.4500.7270.6330.4250.4940.7300.2350.053CHIWR0.15736.6%17.5%13.0%
24
25CINRB0.2940.2510.3450.2650.2290.2790.190-0.089-0.056CINRB0.16834.3%73.6%1.0%
26CINTE0.1840.3140.4220.1980.0980.2790.114-0.165-0.116CINTE0.09519.3%14.6%-2.6%
27CINWR0.5510.6910.9580.8930.6541.0770.875-0.2020.095CINWR0.22846.4%57.6%24.3%
28
29CLERB0.1920.1100.1620.2320.1650.1760.2220.0460.014CLERB0.09019.8%13.2%-13.5%
30CLETE0.1920.3290.0970.3310.4290.4580.222-0.2360.132CLETE0.13730.3%48.1%3.5%
31CLEWR0.5520.6590.9070.7940.7910.9510.777-0.1740.112CLEWR0.22649.9%72.0%19.8%
32
33DALRB0.1700.2160.2930.1650.2580.0520.2060.155-0.039DALRB0.13640.4%98.8%7.0%
34DALTE0.1700.0720.2930.1980.2220.1030.2750.1720.016DALTE0.07823.3%26.8%3.4%
35DALWR0.6460.5400.6600.5290.5910.5150.6880.1730.004DALWR0.12336.4%16.4%16.8%
36
37DENRB0.1420.1110.3360.2060.4500.4030.065-0.3380.107DENRB0.09522.4%23.8%-11.0%
38DENTE0.1710.3330.2350.3300.2250.4030.032-0.370-0.047DENTE0.11527.1%38.4%1.2%
39DENWR0.7400.8500.5380.8250.9650.7250.519-0.206-0.002DENWR0.21550.5%74.5%24.1%
40
41DETRB0.3720.6240.2290.2050.1880.119-0.069-0.205DETRB0.11628.9%51.2%-4.4%
42DETTE0.1120.0660.0760.1710.1490.1490.042DETTE0.05714.3%0.0%-9.4%
43DETWR1.4141.0190.5860.6160.7500.386-0.364-0.340DETWR0.22756.7%100.0%31.5%
44
45GBRB0.1880.1350.3560.1170.3000.225-0.0750.064GBRB0.08818.9%9.6%-14.4%
46GBTE0.1880.2030.2590.2340.3900.4180.0280.183GBTE0.14130.3%48.3%3.3%
47GBWR0.9760.5630.7760.8180.8100.771-0.0390.007GBWR0.23650.7%75.3%26.0%
48
49HOURB0.1040.0670.2860.0850.2730.2220.135-0.0870.075HOURB0.09823.3%27.8%-10.0%
50HOUTE0.3120.1010.2860.1140.3650.222-0.2220.090HOUTE0.09322.3%23.7%-3.3%
51HOUWR0.6940.7760.9800.9370.6990.5190.6420.124-0.227HOUWR0.22854.4%90.4%28.8%
52
53INDRB0.3660.2250.3560.4950.3390.2610.180-0.081-0.100INDRB0.12322.5%24.5%-10.8%
54INDTE0.4880.3380.6100.4950.5550.4790.270-0.209-0.048INDTE0.19034.7%61.6%8.9%
55INDWR0.7320.6001.0171.5270.8941.0890.240-0.848-0.228INDWR0.23542.8%42.7%18.4%
56
57JAXRB0.3390.3900.4040.1880.4030.3310.296-0.0350.013JAXRB0.13830.3%56.8%-3.0%
58JAXTE0.2370.2280.1840.2420.5500.2360.066-0.1700.061JAXTE0.12427.2%38.9%4.0%
59JAXWR0.5080.8450.6250.5911.2460.6610.9530.2920.311JAXWR0.19442.5%41.4%22.8%
60
61KCRB0.1170.0720.2330.1140.1220.4190.267-0.1520.136KCRB0.07516.6%0.0%-16.8%
62KCTE0.2350.3590.4330.4260.3060.3770.208-0.170-0.066KCTE0.21347.3%100.0%19.5%
63KCWR0.6260.5750.5660.6810.6420.7130.593-0.1200.037KCWR0.16336.1%15.5%11.0%
64
65LACRB0.5230.3030.2720.4030.2020.1580.3250.167-0.147LACRB0.15639.4%94.9%6.1%
66LACTE0.1450.1210.2330.2170.0870.0630.1620.099-0.075LACTE0.07920.0%16.8%-0.2%
67LACWR0.7840.3940.6610.5890.4620.4430.5280.085-0.129LACWR0.16140.6%33.8%17.1%
68
69LARRB0.2460.1170.2040.2200.1690.1420.1830.040-0.032LARRB0.11730.0%55.5%-3.4%
70LARTE0.1170.1170.0730.2370.1140.091-0.0220.045LARTE0.06817.5%9.3%-5.8%
71LARWR0.9130.7030.7300.8810.6780.5400.457-0.084-0.248LARWR0.20452.5%82.6%22.9%
72
73MIARB0.1320.1760.1860.2150.3740.2360.3420.1050.140MIARB0.15136.3%81.9%3.0%
74MIATE0.0660.0700.1860.0860.1700.2020.2280.0250.098MIATE0.10124.3%29.8%3.0%
75MIAWR0.7230.5630.7450.7320.5440.8770.569-0.308-0.027MIAWR0.16439.4%29.0%19.6%
76
78MINRB0.2890.1400.5770.1860.1530.0880.0930.006-0.187MINRB0.09020.1%14.5%-13.2%
79MINTE0.1280.2810.2890.2170.1830.1170.1240.007-0.087MINTE0.10323.1%26.3%-3.5%
80MINWR0.7060.9271.4021.1170.7630.7010.9630.263-0.229MINWR0.25356.8%100.0%27.7%
81
82NERB0.5450.3760.4820.3040.5440.2770.4020.125-0.019NERB0.14030.4%57.2%-3.0%
83NETE0.2570.2390.2410.2480.2540.111-0.111-0.064NETE0.16936.7%67.9%13.5%
84NEWR0.4490.5820.4820.4140.7980.5810.7710.1900.235NEWR0.15132.9%2.1%9.8%
85
86NORB0.4670.2140.7500.3840.2100.119-0.091-0.289NORB0.15336.4%82.2%3.0%
87NOTE0.1800.1840.2280.1920.1800.2690.0880.029NOTE0.10324.4%30.2%3.2%
88NOWR0.8980.6730.6200.3840.4510.448-0.003-0.195NOWR0.16539.3%28.3%13.7%
89
90NYGRB0.2620.5280.1690.3760.1630.6180.361-0.2570.047NYGRB0.20637.3%86.2%4.0%
91NYGTE0.1970.2800.1130.2050.1220.1090.2160.107-0.049NYGTE0.10418.7%12.9%-2.2%
92NYGWR0.7220.5280.5350.8211.1810.8360.722-0.1150.262NYGWR0.24343.9%47.5%20.3%
93
94NYJRB0.0910.2850.1370.3600.0350.0810.3240.243-0.072NYJRB0.09427.1%43.6%-6.2%
95NYJTE0.1210.1900.1720.2250.1380.1080.3590.2510.025NYJTE0.08223.7%28.2%-0.6%
96NYJWR0.4230.8230.7210.8550.5880.5940.7550.161-0.060NYJWR0.17049.2%68.9%23.4%
97
98OAKRB0.4760.1820.2860.3420.3550.4900.1350.101OAKRB0.12528.2%48.2%-5.1%
99OAKTE0.4760.1520.1560.5820.2760.070-0.206-0.168OAKTE0.17138.5%73.2%14.6%
100OAKWR0.2860.6380.5191.0260.5920.490-0.102-0.076OAKWR0.14833.3%3.8%15.3%
101
102PHIRB0.2180.2240.2230.2980.1840.1540.113-0.040-0.090PHIRB0.10120.8%17.4%-12.5%
103PHITE0.4040.5330.5210.5290.4780.3080.4530.146-0.084PHITE0.21544.4%91.1%18.0%
104PHIWR0.3420.5610.1740.8270.5140.6460.482-0.1640.072PHIWR0.16934.8%10.1%13.2%
105
106PITRB0.1560.2180.1980.2890.1370.2000.063-0.046PITRB0.15030.0%55.7%-3.3%
107PITTE0.1300.3110.2310.2480.1720.4870.3150.099PITTE0.11322.6%24.7%-0.7%
108PITWR0.7821.3360.8241.3620.6180.515-0.103-0.509PITWR0.23647.4%61.6%23.2%
109
110SEARB0.4420.2730.0920.1280.1310.1590.028-0.089SEARB0.08225.3%35.9%-8.1%
111SEATE0.2820.3910.2440.0960.1640.032-0.132-0.155SEATE0.11034.0%59.4%9.1%
112SEAWR0.6030.6250.4580.5760.3610.5410.180-0.115SEAWR0.13240.8%34.5%19.0%
113
114SFRB0.1390.3380.2670.3300.3480.1040.2950.191-0.020SFRB0.09624.4%32.3%-8.9%
115SFTE0.3120.2030.2670.3300.1740.2080.3310.124-0.040SFTE0.16642.2%84.6%17.0%
116SFWR0.6590.2370.4670.6610.7960.4850.368-0.1170.044SFWR0.13133.4%4.2%16.0%
117
118TBRB0.0310.2050.2360.1280.2470.121-0.1260.034TBRB0.07518.7%8.4%-14.7%
119TBTE0.1560.1640.4050.2560.2120.5460.3340.134TBTE0.10927.2%38.7%0.1%
120TBWR0.6840.9861.0460.8320.9520.910-0.0430.044TBWR0.21654.2%89.4%25.9%
121
122TENRB0.3040.0330.1220.3760.1910.1340.2260.092-0.025TENRB0.10730.7%58.6%-2.6%
123TENTE0.4060.0660.1220.1340.1410.008-0.060TENTE0.08725.0%32.1%1.9%
124TENWR0.5410.5600.3970.9920.6110.3570.5370.180-0.121TENWR0.15444.3%48.8%18.2%
125
126WASRB0.2620.5100.0690.4120.1130.2260.113-0.030WASRB0.13333.9%71.8%0.6%
127WASTE0.1570.2700.3090.1870.3390.129-0.210-0.027WASTE0.12732.3%54.4%10.3%
128WASWR0.3410.5400.3090.8230.5080.388-0.1200.177WASWR0.13233.8%5.9%22.5%
129

Team Positions TPM Sorted High to Low With Speed and Team Balance

In these tables take from the above sortable database, I present a color-coded list of teams within positions for Average TPM. Finding Teams highest in positions targeting has to be useful data for waiver wires, add/drops and trades.  Dynasty players might modify their plans to go with a Team’s flow. 

Each Positional Block presents:

  • Sortable table.

  • Colorized Table for Static Viewing

  • Graphical Plot of the Team Landscape of TPM, %USAGE, Pos Rankings, and Positional Balance


 Running Back

TEAMsPOSWeek 1Week 2Week 3Week 4Week 5Week 6Week 7DIFFFirst 4 vs Last 3TEAMsPOSAvg TPM% UsagePOS RankingsPos Balance in Team
CARRB0.2940.5610.0880.1690.3250.243-0.082-0.069CARRB0.21040.6%100.0%7.3%
DALRB0.1700.2160.2930.1650.2580.0520.2060.155-0.039DALRB0.13640.4%98.8%7.0%
LACRB0.5230.3030.2720.4030.2020.1580.3250.167-0.147LACRB0.15639.4%94.9%6.1%
NYGRB0.2620.5280.1690.3760.1630.6180.361-0.2570.047NYGRB0.20637.3%86.2%4.0%
NORB0.4670.2140.7500.3840.2100.119-0.091-0.289NORB0.15336.4%82.2%3.0%
MIARB0.1320.1760.1860.2150.3740.2360.3420.1050.140MIARB0.15136.3%81.9%3.0%
CINRB0.2940.2510.3450.2650.2290.2790.190-0.089-0.056CINRB0.16834.3%73.6%1.0%
BUFRB0.2020.4460.1400.2770.1180.1820.4500.268-0.016BUFRB0.11334.2%73.3%0.9%
WASRB0.2620.5100.0690.4120.1130.2260.113-0.030WASRB0.13333.9%71.8%0.6%
TENRB0.3040.0330.1220.3760.1910.1340.2260.092-0.025TENRB0.10730.7%58.6%-2.6%
NERB0.5450.3760.4820.3040.5440.2770.4020.125-0.019NERB0.14030.4%57.2%-3.0%
JAXRB0.3390.3900.4040.1880.4030.3310.296-0.0350.013JAXRB0.13830.3%56.8%-3.0%
PITRB0.1560.2180.1980.2890.1370.2000.063-0.046PITRB0.15030.0%55.7%-3.3%
LARRB0.2460.1170.2040.2200.1690.1420.1830.040-0.032LARRB0.11730.0%55.5%-3.4%
ARIRB0.5950.2710.2110.1770.2020.1940.2060.011-0.113ARIRB0.14329.2%52.4%-4.1%
DETRB0.3720.6240.2290.2050.1880.119-0.069-0.205DETRB0.11628.9%51.2%-4.4%
CHIRB0.3000.1450.1930.3190.3290.4310.1020.141CHIRB0.12328.6%49.7%-4.8%
OAKRB0.4760.1820.2860.3420.3550.4900.1350.101OAKRB0.12528.2%48.2%-5.1%
BALRB0.1990.2880.2650.1140.4380.0800.2640.1840.045BALRB0.11027.8%46.6%-5.5%
NYJRB0.0910.2850.1370.3600.0350.0810.3240.243-0.072NYJRB0.09427.1%43.6%-6.2%
SEARB0.4420.2730.0920.1280.1310.1590.028-0.089SEARB0.08225.3%35.9%-8.1%
SFRB0.1390.3380.2670.3300.3480.1040.2950.191-0.020SFRB0.09624.4%32.3%-8.9%
HOURB0.1040.0670.2860.0850.2730.2220.135-0.0870.075HOURB0.09823.3%27.8%-10.0%
INDRB0.3660.2250.3560.4950.3390.2610.180-0.081-0.100INDRB0.12322.5%24.5%-10.8%
DENRB0.1420.1110.3360.2060.4500.4030.065-0.3380.107DENRB0.09522.4%23.8%-11.0%
PHIRB0.2180.2240.2230.2980.1840.1540.113-0.040-0.090PHIRB0.10120.8%17.4%-12.5%
MINRB0.2890.1400.5770.1860.1530.0880.0930.006-0.187MINRB0.09020.1%14.5%-13.2%
ATLRB0.2510.1680.2390.2050.1940.1260.1860.059-0.047ATLRB0.08120.0%14.0%-13.3%
CLERB0.1920.1100.1620.2320.1650.1760.2220.0460.014CLERB0.09019.8%13.2%-13.5%
GBRB0.1880.1350.3560.1170.3000.225-0.0750.064GBRB0.08818.9%9.6%-14.4%
TBRB0.0310.2050.2360.1280.2470.121-0.1260.034TBRB0.07518.7%8.4%-14.7%
KCRB0.1170.0720.2330.1140.1220.4190.267-0.1520.136KCRB0.07516.6%0.0%-16.8%

The top TPM for RBs are CAR, NYG, CIN, LAC, NO, MIA, and PIT. The clear evidence is here for moving into these teams RBs in PPR. 

The opposite situations are found in KC, TB, SEA, and ATL. Consider your RB shares in these teams. 

Note the Pos Balances for the top teams. 

Slide5


3 Tiers in the top 9 RB using teams. 

Slide6


Tight Ends

TEAMsPOSWeek 1Week 2Week 3Week 4Week 5Week 6Week 7DIFFFirst 4 vs Last 3TEAMsPOSAvg TPM% UsagePOS RankingsPos Balance in Team
KCTE0.2350.3590.4330.4260.3060.3770.208-0.170-0.066KCTE0.21347.3%100.0%19.5%
PHITE0.4040.5330.5210.5290.4780.3080.4530.146-0.084PHITE0.21544.4%91.1%18.0%
SFTE0.3120.2030.2670.3300.1740.2080.3310.124-0.040SFTE0.16642.2%84.6%17.0%
OAKTE0.4760.1520.1560.5820.2760.070-0.206-0.168OAKTE0.17138.5%73.2%14.6%
NETE0.2570.2390.2410.2480.2540.111-0.111-0.064NETE0.16936.7%67.9%13.5%
CHITE0.2700.1160.1380.1420.1650.3650.2000.098CHITE0.14934.8%61.9%11.0%
INDTE0.4880.3380.6100.4950.5550.4790.270-0.209-0.048INDTE0.19034.7%61.6%8.9%
SEATE0.2820.3910.2440.0960.1640.032-0.132-0.155SEATE0.11034.0%59.4%9.1%
WASTE0.1570.2700.3090.1870.3390.129-0.210-0.027WASTE0.12732.3%54.4%10.3%
ATLTE0.1440.2020.1700.1030.4540.3160.155-0.1610.153ATLTE0.12931.9%53.1%5.3%
GBTE0.1880.2030.2590.2340.3900.4180.0280.183GBTE0.14130.3%48.3%3.3%
CLETE0.1920.3290.0970.3310.4290.4580.222-0.2360.132CLETE0.13730.3%48.1%3.5%
ARITE0.2740.2320.2110.1420.0510.2720.137-0.135-0.062ARITE0.14730.0%47.3%6.4%
BUFTE0.2830.2970.1120.3170.0890.1820.2620.081-0.075BUFTE0.09127.4%39.3%5.5%
JAXTE0.2370.2280.1840.2420.5500.2360.066-0.1700.061JAXTE0.12427.2%38.9%4.0%
TBTE0.1560.1640.4050.2560.2120.5460.3340.134TBTE0.10927.2%38.7%0.1%
DENTE0.1710.3330.2350.3300.2250.4030.032-0.370-0.047DENTE0.11527.1%38.4%1.2%
CARTE0.1310.0990.1470.1690.3660.202-0.1640.120CARTE0.13927.0%38.0%7.2%
TENTE0.4060.0660.1220.1340.1410.008-0.060TENTE0.08725.0%32.1%1.9%
NOTE0.1800.1840.2280.1920.1800.2690.0880.029NOTE0.10324.4%30.2%3.2%
MIATE0.0660.0700.1860.0860.1700.2020.2280.0250.098MIATE0.10124.3%29.8%3.0%
NYJTE0.1210.1900.1720.2250.1380.1080.3590.2510.025NYJTE0.08223.7%28.2%-0.6%
DALTE0.1700.0720.2930.1980.2220.1030.2750.1720.016DALTE0.07823.3%26.8%3.4%
MINTE0.1280.2810.2890.2170.1830.1170.1240.007-0.087MINTE0.10323.1%26.3%-3.5%
PITTE0.1300.3110.2310.2480.1720.4870.3150.099PITTE0.11322.6%24.7%-0.7%
HOUTE0.3120.1010.2860.1140.3650.222-0.2220.090HOUTE0.09322.3%23.7%-3.3%
BALTE0.3690.2880.1650.3410.3030.2400.189-0.051-0.047BALTE0.08621.8%22.4%-2.2%
LACTE0.1450.1210.2330.2170.0870.0630.1620.099-0.075LACTE0.07920.0%16.8%-0.2%
CINTE0.1840.3140.4220.1980.0980.2790.114-0.165-0.116CINTE0.09519.3%14.6%-2.6%
NYGTE0.1970.2800.1130.2050.1220.1090.2160.107-0.049NYGTE0.10418.7%12.9%-2.2%
LARTE0.1170.1170.0730.2370.1140.091-0.0220.045LARTE0.06817.5%9.3%-5.8%
DETTE0.1120.0660.0760.1710.1490.1490.042DETTE0.05714.3%0.0%-9.4%

Tops TEs teams are KC, PHI, IND, OAK, NE, CHI, and SF. These teams use the TEs for targeting and points the way for trades etc.

Caution in using TEs from DET, LAR, NYJ, LAC, DAL, BUF and BAL. 

Slide7


No grouping but a steep decline in the first 6 teams.KC on down. The teams after the 6th decline slower and seem closer to together. 

Slide8


Wide Receivers

TEAMsPOSWeek 1Week 2Week 3Week 4Week 5Week 6Week 7DIFFFirst 4 vs Last 3TEAMsPOSAvg TPM% UsagePOS RankingsPos Balance in Team
MINWR0.7060.9271.4021.1170.7630.7010.9630.263-0.229MINWR0.25356.8%100.0%27.7%
DETWR1.4141.0190.5860.6160.7500.386-0.364-0.340DETWR0.22756.7%100.0%31.5%
HOUWR0.6940.7760.9800.9370.6990.5190.6420.124-0.227HOUWR0.22854.4%90.4%28.8%
TBWR0.6840.9861.0460.8320.9520.910-0.0430.044TBWR0.21654.2%89.4%25.9%
LARWR0.9130.7030.7300.8810.6780.5400.457-0.084-0.248LARWR0.20452.5%82.6%22.9%
GBWR0.9760.5630.7760.8180.8100.771-0.0390.007GBWR0.23650.7%75.3%26.0%
DENWR0.7400.8500.5380.8250.9650.7250.519-0.206-0.002DENWR0.21550.5%74.5%24.1%
BALWR0.4820.8120.7940.6811.1800.6650.9440.2790.237BALWR0.19950.3%73.7%22.1%
CLEWR0.5520.6590.9070.7940.7910.9510.777-0.1740.112CLEWR0.22649.9%72.0%19.8%
NYJWR0.4230.8230.7210.8550.5880.5940.7550.161-0.060NYJWR0.17049.2%68.9%23.4%
ATLWR0.8980.5720.7500.9920.7780.8530.774-0.079-0.001ATLWR0.19448.1%64.4%22.8%
PITWR0.7821.3360.8241.3620.6180.515-0.103-0.509PITWR0.23647.4%61.6%23.2%
CINWR0.5510.6910.9580.8930.6541.0770.875-0.2020.095CINWR0.22846.4%57.6%24.3%
TENWR0.5410.5600.3970.9920.6110.3570.5370.180-0.121TENWR0.15444.3%48.8%18.2%
NYGWR0.7220.5280.5350.8211.1810.8360.722-0.1150.262NYGWR0.24343.9%47.5%20.3%
INDWR0.7320.6001.0171.5270.8941.0890.240-0.848-0.228INDWR0.23542.8%42.7%18.4%
JAXWR0.5080.8450.6250.5911.2460.6610.9530.2920.311JAXWR0.19442.5%41.4%22.8%
SEAWR0.6030.6250.4580.5760.3610.5410.180-0.115SEAWR0.13240.8%34.5%19.0%
ARIWR0.5490.3870.5920.5670.6570.7380.8910.1530.238ARIWR0.19940.8%34.5%20.5%
LACWR0.7840.3940.6610.5890.4620.4430.5280.085-0.129LACWR0.16140.6%33.8%17.1%
MIAWR0.7230.5630.7450.7320.5440.8770.569-0.308-0.027MIAWR0.16439.4%29.0%19.6%
NOWR0.8980.6730.6200.3840.4510.448-0.003-0.195NOWR0.16539.3%28.3%13.7%
BUFWR0.8080.4830.3640.7130.3550.5150.450-0.065-0.152BUFWR0.12738.4%24.7%12.0%
CHIWR0.4500.7270.6330.4250.4940.7300.2350.053CHIWR0.15736.6%17.5%13.0%
DALWR0.6460.5400.6600.5290.5910.5150.6880.1730.004DALWR0.12336.4%16.4%16.8%
KCWR0.6260.5750.5660.6810.6420.7130.593-0.1200.037KCWR0.16336.1%15.5%11.0%
PHIWR0.3420.5610.1740.8270.5140.6460.482-0.1640.072PHIWR0.16934.8%10.1%13.2%
WASWR0.3410.5400.3090.8230.5080.388-0.1200.177WASWR0.13233.8%5.9%22.5%
SFWR0.6590.2370.4670.6610.7960.4850.368-0.1170.044SFWR0.13133.4%4.2%16.0%
OAKWR0.2860.6380.5191.0260.5920.490-0.102-0.076OAKWR0.14833.3%3.8%15.3%
NEWR0.4490.5820.4820.4140.7980.5810.7710.1900.235NEWR0.15132.9%2.1%9.8%
CARWR0.3920.8250.4720.5920.8541.0520.1980.270CARWR0.16732.4%0.2%12.1%

The best WRs are those used a lot and fast in targeting. These WRs can be found in MIN, DET, IND, NYG, PIT, GB, CLE, HOU, CIN, LAR, and DEN. These are key teams in PPR leagues for WRs. 

The teams with the least used WRs are DAL, BUF, SEA, WAS, SF and NE. Some surprising teams on this list. Caution. 

Slide9


MIN and DET are clear leaders. Hou and TB are also grouped together. Clearly 4 teams of extreme interest in WRs. Note HOU Coutee out! So his replacement has juice.

Slide10


 

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