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On Sunday, the Jets lost to the Titans, 26-22. The Jets averaged 2.47 Adjusted Net Yards per Attempt, which is terrible; Tennessee averaged 7.05 ANY/A, which is a bit above average. In 2018, the average team is gaining 6.47 ANY/A. In other words, the Jets were 4.00 ANY/A below average, and Tennessee was +0.58 ANY/A above average.

Sadly for the Jets, that’s par for the course. There have been 21 games (out of 60) since the start of the 2015 season that the Jets were below average in passing offense and below average in passing defense. Here’s how to read the following graph:

X-Axis: Jets passing ANY/A, relative to league average
Y-Axis: Jets opponent’s passing ANY/A, relative to league average

Each year from 2015 to 2018 has a different data label, shown in the legend in the graph. But here’s the shorthand: dots to the left of the graph mean the Jets passing offense was bad; dots high in the graph mean the Jets passing defense was bad (because the opponent had a positive ANY/A relative to league average). Unfortunately for the Jets, things are getting worse: there are 6 large green dots (representing 2018) where the opponent was above average in ANY/A and the Jets were below average in ANY/A.

Here’s the raw data:

YearG#OppResultANY/AOpp ANY/ALg AvgRANY/AOpp RANY/A
201812TENL 22-262.477.056.47-40.58
201811NWEL 13-275.0910.426.47-1.393.95
201810BUFL 10-410.710.336.47-5.773.86
20189MIAL 6-130.513.716.47-5.96-2.76
20188CHIL 10-245.678.266.47-0.811.78
20187MINL 17-371.716.546.47-4.760.06
20186INDW 42-348.195.726.471.71-0.75
20185DENW 34-168.876.166.472.4-0.31
20184JAXL 12-314.439.36.47-2.042.83
20183CLEL 17-212.154.636.47-4.32-1.84
20182MIAL 12-205.6866.47-0.79-0.47
20181DETW 48-177.611.836.471.14-4.65
201716NWEL 6-265.185.315.91-0.73-0.6
201715LACL 7-141.717.755.91-4.21.84
201714NORL 19-312.57.675.91-3.411.76
201713DENL 0-23-0.166.335.91-6.070.43
201712KANW 38-319.7512.635.913.846.72
201711CARL 27-358.774.975.912.86-0.94
201710TAML 10-154.314.465.91-1.59-1.45
20179BUFW 34-217.486.045.911.570.14
20178ATLL 20-257.679.535.911.763.63
20177MIAL 28-316.57.355.910.591.44
20176NWEL 17-245.576.635.91-0.340.73
20175CLEW 17-145.246.195.91-0.660.28
20174JAXW 23-204.593.085.91-1.31-2.82
20173MIAW 20-610.122.65.914.21-3.3
20172OAKL 20-456.6110.365.910.74.45
20171BUFL 12-212.157.15.91-3.761.19
201616BUFW 30-107.813.446.221.59-2.78
201615NWEL 3-41-0.279.036.22-6.492.82
201614MIAL 13-342.6314.266.22-3.588.05
201613SFOW 23-174.174.866.22-2.05-1.36
201612INDL 10-412.6112.076.22-3.615.85
201611NWEL 17-229.366.526.223.150.3
201610LARL 6-944.76.22-2.22-1.52
20169MIAL 23-273.785.236.22-2.44-0.98
20168CLEW 31-286.725.566.220.51-0.66
20167BALW 24-168.483.136.222.26-3.09
20166ARIL 3-282.8276.22-3.40.78
20165PITL 13-316.449.486.220.223.26
20164SEAL 17-272.9310.246.22-3.284.02
20163KANL 3-24-1.866.896.22-8.080.67
20162BUFW 37-3111.1410.396.224.934.17
20161CINL 22-235.088.086.22-1.131.86
201516BUFL 17-222.186.076.26-4.08-0.2
201515NWEW 26-208.215.946.261.95-0.33
201514DALW 19-166.680.466.260.42-5.81
201513TENW 30-88.545.46.262.28-0.86
201512NYGW 23-207.796.926.261.530.65
201511MIAW 38-209.325.516.263.05-0.76
201510HOUL 17-243.028.366.26-3.242.1
20159BUFL 17-2244.96.26-2.26-1.36
20158JAXW 28-238.366.266.262.10
20157OAKL 20-345.7411.476.26-0.525.21
20156NWEL 23-307.886.616.261.610.35
20155WASW 34-209.542.696.263.27-3.58
20154MIAW 27-146.662.496.260.39-3.78
20153PHIL 17-243.074.416.26-3.2-1.85
20152INDW 20-76.83.656.260.54-2.62
20151CLEW 31-107.255.496.260.99-0.78

What do you think?

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