Team Snaps Per Minute Week 7

By John Bush

Team Snaps Per Minute Week 7

Team Snaps Per Minute Week 7 Report is a data “Snapshot” of the post Week 8 team snaps per minute activities and speed of play.

The Avg Team Snaps/Minute give insight into the team’s speed. A highly involved pass catcher player on a fast team is worth knowing! Also looking at slow teams can give the insight to run heavy teams.

Snaps Per Minute Week 7 2018 report covers players like running backs, wide receivers and tight ends in a team’s lineup.

A majority of snaps are going to what players and which ones are in line to produce statistically weekly in fantasy football?

The TEAM and PLAYER Snaps per Minute of Possession report will help you: identify the early TEAM and PLAYER Level leaders for such production.

  • Identify the leaders for such production.
  • Identify Weekly Change at the Team, Positional and Player Levels
  • The Snap Report can be a positive indicator because it’s easier for players to score more when given the opportunity.
  • Conversely, the weekly ‘Snap Report’ can identify when players fall out of favor or when game flow or player movement occurs due to injuries.
  • It’s useful to compare the weekly snap leaders to rushing attempt leaders and target leaders to get a feel for how a player is used for fantasy football purposes. See other reports. 

TEAM Level Database Week 1 to 7 Snaps Per Minute

Use the sortable database to focus on successful teams (Points Per Snap). What Teams have improved? (DIFF). The pattern of Weekly Speeds. Successful Teams vs their Speed. 

This database includes:

TEAM: All Teams

Weeks: Week 1 to 6 Team Snaps Per Minute Average

Snaps Per Minute Average: Average of Team Snap_Min

Scaled Team Speed: Scaled Team Speed

Changes in Speed Within Teams: Last 2 Games DIFF

Team Points Scored Last 3 Games Average: Team Points /Game

TeamAll Teams

Points Scored vs Snap Average by Team

(Team Speed of Success): Points/Snaps


TEAMWeek 1Week 2Week 3Week 4Week 5Week 6Week 7TEAMAVG SPMScaled SPMDIFFAVG Points Per Last 3 GAMETEAMSpeed of Success
ARI2.4241.7402.1142.1252.5762.2522.262ARI2.220-0.0200.00918.3ARI7.744
ATL2.5152.1212.3182.3952.3332.1172.013ATL2.2630.023-0.10324.7ATL11.465
BAL2.2712.2272.3812.1852.9331.9962.568BAL2.3690.1290.57117.7BAL7.083
BUF2.5842.3031.8742.2991.9221.8792.099BUF2.144-0.0960.22010.3BUF5.238
CAR2.1902.2111.9752.0032.4392.387CAR2.207-0.033-0.05223.7CAR10.412
CHI2.0981.9192.0362.1612.3062.720CHI2.202-0.0380.41335.7CHI14.206
CIN2.0222.3872.4922.4151.9622.4342.245CIN2.2780.038-0.18919.3CIN8.720
CLE2.1372.2702.4952.7122.6372.6072.517CLE2.4830.243-0.09016.3CLE6.300
DAL2.1771.9062.2372.2822.2891.8802.269DAL2.146-0.0940.39024.3DAL11.323
DEN2.1062.4382.2842.4762.4762.6581.915DEN2.3380.098-0.74327DEN11.492
DET2.6042.5301.8851.8472.3251.902DET2.192-0.048-0.42329DET13.722
GB2.2531.7342.2322.2202.4302.281GB2.203-0.037-0.14926GB11.039
HOU2.5662.2612.7762.4412.4302.2592.163HOU2.4220.182-0.09619.7HOU8.624
IND2.5002.2883.0003.7142.5593.0041.981IND2.7170.477-1.02331.7IND12.605
JAX2.1342.3082.0942.0683.0422.2682.236JAX2.3050.065-0.0329.3JAX3.698
KC2.1902.0852.5322.2142.1402.2642.076KC2.217-0.023-0.18838.3KC17.732
LAC2.3811.7262.0212.1101.8461.8981.787LAC1.956-0.284-0.11028LAC15.186
LAR2.2122.1092.2472.0202.2372.1041.857LAR2.105-0.135-0.24731.7LAR15.342
MIA2.0382.1112.0482.1092.1762.6312.125MIA2.180-0.060-0.50523MIA9.954
MIN2.2792.0512.7222.2961.8912.0732.144MIN2.196-0.0440.07129MIN14.243
NE2.4062.0872.3132.2362.5032.1582.144NE2.2640.024-0.01439.7NE17.502
NO2.2982.0192.5762.2411.9832.118NO2.212-0.0280.13533.3NO16.239
NYG2.3292.1121.7462.1212.2812.3642.309NYG2.167-0.073-0.05521.3NYG9.189
NYJ1.8122.0582.1622.4742.1451.9172.552NYJ2.156-0.0840.63531NYJ14.059
OAK2.3481.9741.9733.1472.0532.100OAK2.2660.0260.04819.3OAK9.295
PHI2.2382.2162.0332.5802.1682.1851.899PHI2.191-0.049-0.28624PHI11.518
PIT2.1902.5482.1752.6002.0942.090PIT2.2740.034-0.00427.7PIT13.242
SEA2.2922.5782.1082.1131.9672.036SEA2.191-0.0490.06919.3SEA9.642
SF2.2882.1652.2682.2032.4381.9752.136SF2.217-0.0230.16226SF11.911
TB2.0532.3822.4962.0172.3282.880TB2.3550.1150.55221.7TB8.333
TEN2.3321.9441.8912.4292.0621.9612.007TEN2.088-0.1520.04510.3TEN5.124
WAS2.0722.2202.0972.2831.9771.941WAS2.101-0.139-0.03720.7WAS10.014

 

 


Combination Graph of Team Average Snaps Per Minute vs Points Per Last 3 Game (Speed vs Success)

Slide1

The Blue Star Teams are very successful teams using avg points last 3 games.

The red teams are less successful as measured by points average in the last 3 games. 

FAST

IND is by far the fastest team and they are producing  30 ish points a game. CLE, HOU, and BAL have speed but low success. Next, we see strong successful teams that are fast. They are DEN, NE, NO, and KC (Popular Teams)! These fast success team will tend to have a depth on fantasy relevant players. Trade, Drop/Add, and Waiver Wires.

SLOW

There are interesting teams that are slow in speed but very efficient in scoring points.  LAR and NYJ are very slow teams but are producing 27 plus points per game.  The opposing teams are like TEN and BUF; Slow and Low Success!

It’s necessary to “know” what all the league teams are. Yes, you need to memorize this information.


Improving Declining Teams: DIFF Metric vs Speed

The DIFF metric focuses on teams that improved or declined in speed. You should consider the reasons why. A new trend? Player off injury or injured?

NYJ, BAL, TB, CHI, DAL, BUF, SF, and NO. All of these teams improved. Note BAL and TB were very fast teams that moved even faster last week!

IND, DEN, MIA, DET, PHI, LAR and CIN all declined in speed? Why? Is this a problem?

Slide2


Team Points Per Game, Total Snaps and Points Per Snap.

These metrics remove the speed component and just focus us onto the success per snap concept. The top teams will not be surprises. These metrics will move likely be the season level for all teams involved. Obviously, we watch for new trends to change our minds.

KC, NE, NO, LAR, LAC, MIN, and CHI are the top 7 teams in success per snaps. They will be the teams with move relevant players as a whole.

The poor successful teams are JAX, TEN, BUF, CLE, BAL, ARI and TB.  Only a few players will be worth holding in your fantasy player portfolios! Trade away from these teams toward the top teams on average.

Note the top teams are below the average in SPM! IND is an exception! Its seems the DAL and WAS should have more success than they have had using this metric for prediction! 

Slide3

——————————————————————–

TEAM vs Positional Speed in Snaps per Minute For the Season

This sortable table includes:

NUM: Number Sorted Team and Position

Team: All teams

Position: Team Pos

DIFFs in Positional Usage: DIFF

Avg Positional Snaps/Min: Weeks 1 to 7

% of Team Usage in Snaps/Min: Team Usage

Team: All teams

Position: Team Pos

Usage % convert to a Ranking from High to Low: Usage Ranking

Usages Scaled to the League Positional Averages: Scaled to AVG

NUMTeamPosWeek 1Week 2Week 3Week 4Week 5Week 6Week 7DIFFAverage of Player Snaps-MIN% USAGETeamPosUsage RankingScaled to Avg Rankings
1ARIRB0.8840.6190.7890.7791.0100.8280.811-0.0180.8170.251ARIRB38.824-7.376
2ARITE1.3261.1790.8461.0041.2631.0490.925-0.1231.0670.327ARITE45.707-0.993
3ARIWR1.6921.1021.4161.3191.2121.4081.5250.1171.3760.422ARIWR44.1837.983
4ATLRB1.0180.7970.8180.9350.6480.8640.805-0.0580.8320.294ATLRB68.17221.972
5ATLTE1.0901.0100.9551.0260.8861.1060.940-0.1661.0020.354ATLTE59.83113.131
6ATLWR1.0421.0371.0451.0151.0640.7790.9660.1870.9920.351ATLWR-0.193-36.393
7BALRB0.7471.1001.2240.7000.9210.6740.8180.1440.8540.270BALRB51.9775.777
8BALTE1.1350.9341.1251.1641.0110.6650.9060.2410.9750.309BALTE36.039-10.661
9BALWR1.0331.4611.3970.9541.8621.1581.6240.4661.3310.421BALWR43.6027.402
10BUFRB0.6560.6500.7650.6240.5690.7580.590-0.1670.6510.241BUFRB32.059-14.141
11BUFTE1.0230.9660.9140.9110.9270.7880.8120.0240.9060.335BUFTE49.6242.924
12BUFWR1.4371.4490.8391.2520.8630.9151.3960.4811.1490.425BUFWR45.7569.556
13CARRB0.9690.8030.8550.8180.8540.8770.0230.8630.271CARRB52.3666.166
14CARTE0.9481.2541.3421.2130.9491.3150.3661.1380.357CARTE61.34514.645
15CARWR1.2751.5351.1430.8511.3581.106-0.2521.1840.372CARWR12.699-23.501
16CHIRB0.8691.0030.5710.6460.8241.4590.6360.8260.294CHIRB68.19721.997
17CHITE0.8290.6830.8800.8060.9881.0950.1060.8670.309CHITE36.208-10.492
18CHIWR1.0790.9711.0450.9851.1731.4260.2531.1130.397CHIWR28.294-7.906
19CINRB0.7230.8381.2271.1910.9651.2171.122-0.0941.0080.313CINRB80.39134.191
20CINTE0.9191.2571.2520.9920.9921.2570.812-0.4451.0590.329CINTE46.419-0.281
21CINWR1.0221.3981.0031.1080.9811.3801.294-0.0871.1570.359CINWR4.615-31.585
22CLERB0.7360.7570.8530.9040.8790.8691.4810.6120.8980.266CLERB48.8722.672
23CLETE0.7801.0861.2201.4880.8820.7491.1100.3621.0150.300CLETE31.789-14.911
24CLEWR1.0561.8911.2381.2571.3852.4661.564-0.9021.4670.434CLEWR51.62315.423
25DALRB0.7820.7430.7820.7940.8250.6781.1520.4740.8060.297DALRB70.06123.861
26DALTE0.9300.8270.9051.1141.0340.8760.705-0.1710.9030.333DALTE48.7972.097
27DALWR0.9580.7971.0211.1310.9780.9421.2380.2951.0020.370DALWR11.365-24.835
28DENRB0.6190.7110.6630.7940.7320.8460.641-0.2050.7150.248DENRB37.102-9.098
29DENTE0.9200.8500.8621.4030.8251.1680.768-0.4000.9490.329DENTE46.8200.120
30DENWR1.0471.3521.2361.2791.3951.2810.935-0.3461.2180.423DENWR44.4448.244
31DETRB0.8680.7150.5350.5390.7220.594-0.1280.6530.228DETRB23.853-22.347
32DETTE0.6140.7560.7050.5591.2380.802-0.4350.7440.260DETTE11.010-35.690
33DETWR1.5471.8811.2741.3341.5381.181-0.3561.4630.511DETWR100.00063.800
34GBRB1.1260.8220.7220.7500.8400.771-0.0690.8220.260GBRB45.185-1.015
35GBTE1.0640.7430.8731.0320.7430.8190.0770.8690.275GBTE18.790-27.910
36GBWR1.4551.1991.5931.4391.6651.453-0.2121.4670.465GBWR70.74634.546
37HOURB0.8551.1471.3881.2201.2461.2221.059-0.1631.1370.284HOURB61.03614.836
38HOUTE1.3181.0241.2521.1641.0530.9881.4370.4491.1630.290HOUTE26.634-20.066
39HOUWR1.5691.9691.8371.5682.1671.4721.4870.0151.7060.426HOUWR46.51710.317
40INDRB0.8740.7691.2881.1240.7630.8600.713-0.1470.9000.240INDRB31.974-14.226
41INDTE1.2091.4251.5251.8161.1251.2050.710-0.4941.2440.332INDTE48.4391.739
42INDWR1.5401.1031.5972.0551.7811.9701.156-0.8151.5990.427INDWR47.26611.066
43JAXRB0.6610.6660.5880.5440.8520.8190.616-0.2020.6730.220JAXRB18.162-28.038
44JAXTE1.1070.8880.8570.8771.1480.7560.8710.1150.9320.305JAXTE34.048-12.652
45JAXWR0.9281.5521.3871.3832.0891.6541.348-0.3061.4550.475JAXWR77.49641.296
46KCRB0.6940.6110.6750.5390.5120.5450.6010.0560.5970.193KCRB0.402-45.798
47KCTE1.2910.8991.6161.4761.4521.4051.4090.0041.3330.432KCTE100.00053.300
48KCWR1.0801.0641.1221.1860.9531.5831.253-0.3301.1550.375KCWR14.439-21.761
49LACRB0.8810.5300.8550.8580.7880.6010.6770.0760.7260.271LACRB52.4186.218
50LACTE0.9100.7060.9720.8890.8460.9280.758-0.1690.8580.320LACTE42.137-4.563
51LACWR1.6340.8781.1461.0611.0751.0750.910-0.1651.0960.409LACWR35.833-0.367
52LARRB1.1061.0551.1241.0102.2371.0520.928-0.1241.1370.342LARRB100.00053.800
53LARTE0.7841.0550.7880.7220.8020.7390.7610.0220.7950.239LARTE-0.007-46.707
54LARWR1.6241.5821.6561.4781.3081.2401.029-0.2111.3950.419LARWR42.3846.184
55MIARB1.0521.0561.0470.6890.7821.3320.810-0.5230.9300.291MIARB65.70819.508
56MIATE0.8990.8910.7760.9250.6290.9440.746-0.1980.8360.261MIATE11.518-35.182
57MIAWR1.3401.4161.1451.5821.5811.5311.490-0.0421.4340.448MIAWR60.41024.210
58MINRB0.8990.7490.9350.5400.5260.5840.552-0.0320.6570.223MINRB20.560-25.640
59MINTE1.0490.8711.5050.9510.8240.9540.870-0.0840.9780.333MINTE48.4581.758
60MINWR1.3881.0791.9481.1851.2051.2851.175-0.1101.3060.444MINWR57.87121.671
61NERB0.9630.7010.7590.8001.0280.7470.695-0.0520.8050.252NERB39.697-6.503
62NETE1.5720.9691.5661.3660.9550.8391.8431.0031.1960.374NETE70.11823.418
63NEWR1.2511.5741.7991.0431.0940.8811.2060.3251.1940.374NEWR13.909-22.291
64NORB0.6550.6730.7500.6720.8210.8750.0540.7310.239NORB31.251-14.949
65NOTE1.3461.4231.5331.2810.8810.8950.0141.1780.386NOTE75.94629.246
66NOWR1.2281.0861.3041.0501.0441.1260.0821.1460.375NOWR14.741-21.459
67NYGRB0.6230.5590.4790.7751.1410.8480.842-0.0070.7100.214NYGRB14.098-32.102
68NYGTE1.0610.9010.7791.1631.4872.2911.143-1.1481.1320.341NYGTE52.8636.163
69NYGWR1.4681.4051.1201.4541.5271.6001.8640.2641.4770.445NYGWR58.57322.373
70NYJRB0.6041.0291.0811.2370.6920.5760.8390.2630.8240.284NYJRB61.51715.317
71NYJTE0.8910.9600.8811.1241.3380.7630.9350.1720.9690.335NYJTE49.6422.942
72NYJWR0.7371.3381.1951.3040.9270.9611.3010.3401.1020.381NYJWR18.301-17.899
73OAKRB0.6430.5690.6100.8810.5920.586-0.0060.6470.222OAKRB19.799-26.401
74OAKTE1.0680.8500.8571.4030.8160.8630.0480.9760.336OAKTE50.0103.310
75OAKWR1.9880.9900.9611.6011.3621.113-0.2491.2860.442OAKWR56.70720.507
76PHIRB0.5600.7390.6780.8600.7231.0770.642-0.4350.7290.250PHIRB38.124-8.076
77PHITE0.9431.0941.3801.2681.1391.1691.030-0.1391.1460.392PHITE79.42232.722
78PHIWR1.2001.0940.9861.2971.0140.8670.8900.0231.0460.358PHIWR4.145-32.055
79PITRB1.2520.8290.7911.0520.5750.8490.2740.8420.281PITRB58.88112.681
80PITTE1.1860.9320.8900.9630.9501.1740.2241.0060.335PITTE49.8133.113
81PITWR0.9431.4731.1071.5931.0160.830-0.1861.1530.384PITWR20.550-15.650
82SEARB0.6330.5630.5880.5600.7210.549-0.1730.5960.201SEARB5.486-40.714
83SEATE1.3671.4261.1300.9931.1480.938-0.2091.1670.394SEATE80.16133.461
84SEAWR1.2311.4451.1851.2420.9971.1070.1101.2010.405SEAWR33.647-2.553
85SFRB0.7891.0940.9010.8260.8580.7790.746-0.0340.8470.281SFRB58.96912.769
86SFTE0.8670.9701.2171.2300.9701.2121.3260.1131.0820.358SFTE61.86715.167
87SFWR1.1300.9271.0611.2941.1691.0831.002-0.0811.0890.361SFWR5.920-30.280
88TBRB0.6740.7800.8210.6620.7410.9500.2090.7710.273TBRB53.7807.580
89TBTE0.7150.9030.8430.5920.7140.9930.2790.7940.281TBTE21.725-24.975
90TBWR1.0761.1911.3291.1461.3051.5160.2111.2610.446TBWR59.19922.999
91TENRB1.1660.9720.9461.3001.0500.9810.678-0.3020.9910.328TENRB90.86844.668
92TENTE1.1721.1201.0371.1061.0310.7240.7630.0390.9720.322TENTE42.939-3.761
93TENWR1.1630.8830.8911.2451.0241.2370.989-0.2481.0560.350TENWR-0.942-37.142
94WASRB0.7260.7600.7220.7610.6690.636-0.0320.7120.251WASRB38.839-7.361
95WASTE1.0660.7901.1580.9480.9790.938-0.0410.9800.345WASTE54.8928.192
96WASWR1.2331.2900.9561.2280.9771.2450.2681.1490.404WASWR33.084-3.116

I would focus on those teams in the extremes of use highs vs lows. Move toward the highly used vs away from lowly used positions by teams! 


These colorized graphs show the top to bottom of the position. Note the usage rankings and scaled to average to determine the teams where the position is highly involved! 

Running Backs

LAR, TEN and CIN are the top 3 teams using their RBs. It’s clear if Henry or Lewis were out the other would be a strong producer! 

I use this metric to find the teams where injury would benefit the remaining RBs the most. These would be the top half of the league teams!  

Slide5


Tight Ends

KC stills alone in extreme TE usages! SEA, PHI, NO, NE and SF are also Top TE user teams.  Ben Watson NO is strong than you may think!  

Slide6


Wide Receivers

DET is an extreme WR using team! JAX GB, MIA (Wilson, Stills out makes others much stronger plays! find them), TB, NYG, and MIN are in the Top groups.

The bottom group is TEN, ATL, PHI, CIN, SF, DAL and NE. Poor WR usages. These teams are going to other positions! 

Slide7
 

——————————————————————–

Look for the companion article Player Snaps Report Week 7.

 

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