Week 11 Efficiency Rankings

The Dolphins are ranked #3 this week. Really? Why is Philly ranked so high but they keep losing, or at least not winning? Chicago's embarrassment at the hands of Green Bay drop them out of the top 10. Buffalo's free-fall continues. Pittsburgh's defense is still carrying a woeful offense toward a possible first-round bye. The Giants inch up after rolling over Baltimore, as does Tennessee after their comeback over the Jaguars.

As I discussed in my recent analysis of both the Dolphins and the Jets, Miami is a very solid team across the board. Despite apparently squeaking by the horrid Raiders 17-15 last Sunday, they actually played quite well. The Dolphins converted 20 first downs compared to only 11 for Oakland. They ran for 6.3 yards per rush and threw for a more modest but above average 6.4 yards per pass attempt. They also held the Raiders to only 3.9 yards per rush and 4.1 yards per pass attempt. Results like these go to show just how deceiving a final score can be (or just how meaningless stats can be, depending on your point of view).

The Eagles are frustrating. By all measures they should be carving up the league. Despite their ability to move the ball and stop opposing offenses, they aren't converting all those yards into wins. Their special teams aren't terribly good--average to slightly below average in most categories (although punt stats are very deceiving because good offenses tend to have less room to punt). Game day coaching tactics might share some blame too. They're also slightly unlucky, with an average defensive interception rate and fumble recovery rate.

But by far, the biggest reason for the Eagles disconnect between efficiency and wins is "bunching." Philadelphia's wins have mostly been blow-outs, and their losses have been squeakers. Their average winning margin has been 18 points while their average losing margin has been less than 5. I can't say conclusively that this bodes well for the Eagles, but I'd definitely rather be a 5-4-1 team with great internal stats than one with very poor ones.






































RANKTEAMLAST WKGWPOpp GWPO RANKD RANK
1 PHI10.760.5086
2 WAS20.750.5277
3 MIA80.700.48420
4 SD30.700.52321
5 ATL40.700.51122
6 NYG70.700.46511
7 CAR50.690.51183
8 PIT90.690.53241
9 TEN100.690.44152
10 ARI110.670.52219
11 CHI60.640.54129
12 TB130.620.54175
13 NO120.620.53623
14 DAL150.600.55194
15 GB160.590.52118
16 IND140.580.53918
17 DEN210.540.501025
18 NYJ190.510.442513
19 MIN170.500.562212
20 NE220.480.472024
21 BAL180.480.502110
22 BUF200.460.452814
23 HOU240.440.501329
24 JAX230.370.481427
25 CLE260.340.531628
26 SEA270.320.483017
27 SF250.290.532626
28 OAK280.270.563215
29 KC290.250.562330
30 CIN300.240.563116
31 STL310.160.552732
32 DET320.150.562931



To-date efficiency stats below. As always, click on the headers to sort.





































TEAMOPASSORUNOINTRATEOFUMRATEDPASSDRUNDINTRATEPENRATE
ARI7.63.40.0180.0226.33.80.0320.44
ATL7.04.40.0210.0086.24.90.0260.33
BAL5.84.00.0320.0235.83.40.0490.47
BUF6.53.80.0380.0296.13.90.0160.29
CAR6.44.40.0320.0175.24.00.0270.38
CHI5.93.80.0180.0165.93.40.0320.36
CIN4.23.50.0290.0316.14.20.0240.34
CLE5.54.10.0220.0217.14.70.0440.33
DAL6.74.40.0400.0345.34.20.0120.49
DEN7.34.50.0290.0236.84.90.0120.36
DET5.43.80.0360.0327.85.10.0070.37
GB6.54.00.0190.0265.14.90.0480.56
HOU6.94.50.0430.0287.14.50.0220.25
IND6.43.50.0240.0066.14.30.0340.38
JAX5.74.10.0190.0146.84.30.0310.42
KC4.94.50.0260.0247.55.10.0320.29
MIA7.14.20.0160.0166.53.70.0220.31
MIN5.74.50.0390.0256.33.10.0180.41
NE5.94.20.0210.0166.84.00.0350.25
NO7.93.70.0280.0276.54.30.0200.43
NYG6.35.30.0230.0215.24.00.0460.48
NYJ6.24.40.0400.0236.13.40.0250.28
OAK4.54.30.0220.0386.24.80.0380.44
PHI6.64.00.0230.0165.33.60.0270.32
PIT5.93.60.0360.0244.43.00.0290.44
SD7.83.80.0340.0166.44.10.0150.33
SF6.14.40.0430.0416.43.70.0280.47
SEA4.64.20.0340.0147.04.00.0140.26
STL5.14.10.0320.0297.84.70.0220.41
TB6.14.10.0240.0195.63.80.0390.47
TEN6.14.00.0200.0164.93.80.0420.36
WAS5.94.60.0100.0135.63.70.0240.35
Avg6.14.10.0280.0226.24.10.0280.38

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1 Responses to “Week 11 Efficiency Rankings”

  1. Display Name says:

    Here's my analysis of prediction systems for the first 10 weeks of the 2008 NFL season (here). Brian Burke's system is included, and listed as "lineBurke" (to the far right). I converted his system's win probabilities to point spreads using smartcapper.com tools (here). So now everyone can stop bugging Brian for his system's ATS record.

    You can see various overall stats to the far lower right of the spreadsheet, for favs/dogs, home/away, and combinations thereof.

    I left the formulas in there so you can see what's going on. I checked them against Todd Beck's stats (here) as of last week and the calculations are accurate.

    I have lots more analysis to do, and I'm currently working on version 2 that is much more user friendly and includes different types of stats, but here's at least the first version.

    If you have any comments or requests for additional stats, please leave me a comment here. - Andy

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