Statistics


The odds that teams like Oakland and Dallas make the playoffs are getting larger, but what can’t be predicted is where in the ranking (1-6) they will be. At this point, Washington could still win the NFC East. Philadelphia could tie, I guess, though the absence of 3 good receivers really does hamper them.

It’s hard to understand Oakland’s success until you split the season in two. The first half was luck. The last half has been offensive dominance, OSRS over 11, best in league over that period of time.

Given that Dallas has playoff experience in 2014 and not in 2015, I have new formulas for playoff odds, based on adding four more years of data. Those will be published in the near future.

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
177       101     57.1      27.48        18.02      9.46

Calculated Pythagorean Exponent:  3.45

Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     DAL      7.0    11  10   1   0  90.9  79.6   7.74   9.36 -1.63
2     NE      11.0    11   9   2   0  81.8  79.7   7.10   8.73 -1.62
3     OAK      3.0    11   9   2   0  81.8  59.4   3.86   2.91  0.95
4     KC       5.0    11   8   3   0  72.7  63.7   3.42   3.45 -0.03
5     NYG      3.0    11   8   3   0  72.7  57.0   0.75   1.64 -0.88
6     SEA      2.0    11   7   3   1  68.2  65.1   3.72   3.36  0.35
7     ATL      7.0    11   7   4   0  63.6  64.3   7.27   5.09  2.18
8     MIA      4.0    11   7   4   0  63.6  53.2  -0.59   0.82 -1.40
9     DET      3.0    11   7   4   0  63.6  53.2  -1.28   0.82 -2.10
10    DEN      2.0    11   7   4   0  63.6  66.2   5.72   4.27  1.44
11    WAS      2.0    11   6   4   1  59.1  55.1   2.38   1.45  0.92
12    PIT      8.0    11   6   5   0  54.5  65.1   4.09   4.00  0.09
13    BUF      4.0    11   6   5   0  54.5  64.6   2.95   4.09 -1.15
14    MIN      3.0    11   6   5   0  54.5  60.8   1.60   2.36 -0.77
15    HOU      3.0    11   6   5   0  54.5  33.7  -3.64  -3.82  0.18
16    TB       2.0    11   6   5   0  54.5  45.0  -0.48  -1.36  0.88
17    BAL      2.0    11   6   5   0  54.5  57.0  -0.02   1.55 -1.56
18    TEN     -3.0    12   6   6   0  50.0  53.4  -1.77   1.00 -2.77
19    NO      -1.0    11   5   6   0  45.5  57.2   3.78   2.45  1.33
20    SD      -1.0    11   5   6   0  45.5  56.3   3.12   2.00  1.12
21    GB      -1.0    11   5   6   0  45.5  45.4  -1.27  -1.36  0.10
22    PHI     -1.0    11   5   6   0  45.5  64.7   4.19   3.73  0.46
23    IND     -3.0    11   5   6   0  45.5  40.7  -3.68  -2.82 -0.86
24    ARI     -2.0    11   4   6   1  40.9  56.2   0.92   1.55 -0.63
25    CAR     -3.0    11   4   7   0  36.4  48.5   0.89  -0.45  1.35
26    LA      -3.0    11   4   7   0  36.4  24.4  -6.38  -6.00 -0.38
27    CIN     -4.0    11   3   7   1  31.8  38.2  -1.79  -2.91  1.12
28    NYJ     -4.0    11   3   8   0  27.3  25.9  -6.20  -6.36  0.17
29    JAX     -5.0    11   2   9   0  18.2  25.3  -7.79  -7.18 -0.60
30    CHI     -6.0    11   2   9   0  18.2  20.4  -8.33  -7.82 -0.51
31    SF     -13.0    11   1  10   0   9.1  19.5  -8.68 -10.55  1.87
32    CLE    -14.0    12   0  12   0   0.0  11.9 -11.59 -12.92  1.32

Throughout the week, CBS Sports was doing its best to hype the Dallas Baltimore game. A typical comment was that Dallas hadn’t faced a good defense (though Philadelphia had as good a defense, and a better offense). CBS was a font of back handed compliments. Dallas won anyway, and the game was much easier than the PHI or NYG games.

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
161        92     57.1      27.46        18.03      9.43

Calculated Pythagorean Exponent:  3.25


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     DAL      8.5    10   9   1   0  90.0  79.7   7.70   9.80 -2.10
2     NE      12.0    10   8   2   0  80.0  79.0   8.74   9.10 -0.36
3     OAK      4.5    10   8   2   0  80.0  59.0   2.96   2.90  0.06
4     SEA      4.0    10   7   2   1  75.0  68.2   5.67   4.60  1.07
5     KC       5.5    10   7   3   0  70.0  63.6   2.20   3.50 -1.30
6     DEN      5.0    10   7   3   0  70.0  68.2   5.56   5.00  0.56
7     NYG      2.0    10   7   3   0  70.0  51.6   0.60   0.40  0.20
8     WAS      4.0    10   6   3   1  65.0  57.0   2.26   2.10  0.16
9     MIN      4.5    10   6   4   0  60.0  62.1   2.20   2.90 -0.70
10    ATL      4.0    10   6   4   0  60.0  59.8   5.44   3.70  1.74
11    MIA      3.5    10   6   4   0  60.0  50.7   0.14   0.20 -0.06
12    HOU      3.0    10   6   4   0  60.0  36.4  -3.62  -3.40 -0.22
13    DET      2.0    10   6   4   0  60.0  52.1  -1.70   0.60 -2.30
14    PHI      4.0    10   5   5   0  50.0  69.9   6.04   5.50  0.54
15    PIT      1.5    10   5   5   0  50.0  58.2   3.08   2.30  0.78
16    IND      0.5    10   5   5   0  50.0  47.0  -2.98  -1.00 -1.98
17    BUF      0.5    10   5   5   0  50.0  62.9   4.39   3.80  0.59
18    BAL      0.5    10   5   5   0  50.0  55.0  -0.46   1.20 -1.66
19    TB      -1.5    10   5   5   0  50.0  42.2  -1.98  -2.40  0.42
20    TEN     -7.0    11   5   6   0  45.5  51.8  -1.91   0.55 -2.45
21    ARI     -1.0    10   4   5   1  45.0  63.7   2.89   3.60 -0.71
22    NO      -1.5    10   4   6   0  40.0  49.7   1.68  -0.10  1.78
23    SD      -2.0    10   4   6   0  40.0  54.0   2.40   1.40  1.00
24    GB      -2.0    10   4   6   0  40.0  41.1  -3.47  -2.90 -0.57
25    CAR     -2.0    10   4   6   0  40.0  49.3   0.54  -0.20  0.74
26    LA      -3.0    10   4   6   0  40.0  32.4  -4.19  -3.80 -0.39
27    CIN     -2.5    10   3   6   1  35.0  39.8  -1.21  -2.70  1.49
28    NYJ     -3.5    10   3   7   0  30.0  26.8  -6.37  -6.50  0.13
29    JAX     -4.5    10   2   8   0  20.0  26.3  -8.72  -7.20 -1.52
30    CHI     -7.5    10   2   8   0  20.0  20.8  -8.59  -8.00 -0.59
31    SF     -15.0    10   1   9   0  10.0  20.0  -8.07 -10.90  2.83
32    CLE    -14.0    11   0  11   0   0.0  13.6 -11.22 -12.82  1.60

Pretty soon, it will become time to predict possible playoff probabilities.

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
146        82     56.2      27.67        18.09      9.58

Calculated Pythagorean Exponent:  2.97


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     DAL      7.0     9   8   1   0  88.9  77.5   7.58   9.78 -2.20
2     NE      11.0     9   7   2   0  77.8  76.1   9.20   8.67  0.53
3     KC       6.0     9   7   2   0  77.8  64.3   2.86   4.11 -1.25
4     OAK      3.0     9   7   2   0  77.8  56.9   3.06   2.44  0.61
5     DEN      5.0    10   7   3   0  70.0  66.7   5.38   5.00  0.38
6     SEA      2.0     8   5   2   1  68.8  64.2   3.64   3.62  0.01
7     HOU      3.0     9   6   3   0  66.7  38.7  -3.47  -3.00 -0.47
8     NYG      1.0     9   6   3   0  66.7  49.2   1.02  -0.22  1.24
9     WAS      2.0     9   5   3   1  61.1  51.1   1.04   0.33  0.71
10    ATL      4.0    10   6   4   0  60.0  59.0   5.26   3.70  1.56
11    PHI      9.0     9   5   4   0  55.6  73.6   7.14   7.33 -0.19
12    MIA      3.0     9   5   4   0  55.6  49.3   0.22  -0.22  0.44
13    MIN      3.0     9   5   4   0  55.6  60.3   1.68   2.56 -0.87
14    BAL      2.0     9   5   4   0  55.6  59.4  -0.14   2.44 -2.58
15    DET      1.0     9   5   4   0  55.6  49.6  -1.61  -0.11 -1.50
16    BUF      4.0     8   4   4   0  50.0  65.0   5.25   5.00  0.25
17    ARI      0.0     9   4   4   1  50.0  66.6   3.19   4.67 -1.48
18    TEN     -3.0    10   5   5   0  50.0  53.7  -0.96   1.30 -2.26
19    NO      -1.0     9   4   5   0  44.4  50.6   1.88   0.22  1.65
20    GB      -1.0     9   4   5   0  44.4  46.4  -2.08  -1.22 -0.86
21    IND     -3.0     9   4   5   0  44.4  44.9  -3.51  -1.89 -1.62
22    LA      -3.0     9   4   5   0  44.4  34.3  -4.52  -3.78 -0.74
23    TB      -5.0     9   4   5   0  44.4  41.7  -2.89  -2.89 -0.01
24    PIT     -5.0     9   4   5   0  44.4  52.8   3.12   0.89  2.23
25    SD      -2.0    10   4   6   0  40.0  53.6   2.52   1.40  1.12
26    CIN     -1.0     9   3   5   1  38.9  41.5  -1.42  -2.56  1.13
27    CAR     -3.0     9   3   6   0  33.3  48.3  -0.10  -0.56  0.45
28    NYJ     -3.5    10   3   7   0  30.0  28.5  -6.38  -6.50  0.12
29    JAX     -4.0     9   2   7   0  22.2  28.1  -8.40  -7.22 -1.17
30    CHI     -9.0     9   2   7   0  22.2  22.3  -8.84  -8.22 -0.62
31    SF     -17.0     9   1   8   0  11.1  22.6  -8.75 -10.67  1.91
32    CLE    -12.5    10   0  10   0   0.0  16.7 -10.98 -12.60  1.62

A bit late, as the Thursday game has been played. But this week was the election and it’s only now that things have calmed down in my life.

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
132        75     56.8      27.73        18.02      9.70

Calculated Pythagorean Exponent:  2.74


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     NE      13.5     8   7   1   0  87.5  79.6  10.61  10.62 -0.02
2     DAL     10.5     8   7   1   0  87.5  78.1   8.21  10.38 -2.16
3     OAK      3.0     9   7   2   0  77.8  56.4   2.52   2.44  0.08
4     KC       6.0     8   6   2   0  75.0  63.5   3.06   4.25 -1.19
5     DEN      8.0     9   6   3   0  66.7  66.7   5.56   5.33  0.22
6     ATL      7.0     9   6   3   0  66.7  61.0   5.45   5.11  0.34
7     SEA      2.0     7   4   2   1  64.3  62.3   1.01   3.14 -2.13
8     MIN      6.0     8   5   3   0  62.5  63.8   3.47   3.62 -0.15
9     HOU      5.0     8   5   3   0  62.5  36.8  -2.29  -3.75  1.46
10    NYG      2.0     8   5   3   0  62.5  48.7   1.49  -0.38  1.86
11    WAS      1.0     8   4   3   1  56.2  48.9   0.31  -0.38  0.68
12    DET      1.0     9   5   4   0  55.6  49.7  -0.73  -0.11 -0.62
13    PHI      5.0     8   4   4   0  50.0  71.2   7.14   7.12  0.02
14    BUF      4.0     8   4   4   0  50.0  63.9   4.77   5.00 -0.23
15    GB       1.5     8   4   4   0  50.0  53.9   1.68   1.38  0.31
16    PIT      0.5     8   4   4   0  50.0  55.0   2.83   1.62  1.21
17    MIA      0.5     8   4   4   0  50.0  46.5  -1.42  -1.12 -0.30
18    BAL      0.5     8   4   4   0  50.0  50.4  -1.52   0.12 -1.65
19    NO       0.0     8   4   4   0  50.0  51.1   1.19   0.50  0.69
20    SD      -1.0     9   4   5   0  44.4  55.6   3.47   2.33  1.14
21    IND     -3.0     9   4   5   0  44.4  45.3  -2.44  -1.89 -0.55
22    TEN     -7.0     9   4   5   0  44.4  47.2  -2.74  -1.00 -1.74
23    ARI     -1.0     8   3   4   1  43.8  66.2   3.19   4.88 -1.69
24    CIN     -4.0     8   3   4   1  43.8  41.6  -1.64  -2.75  1.11
25    CAR     -2.0     8   3   5   0  37.5  49.3  -0.68  -0.25 -0.43
26    LA      -3.0     8   3   5   0  37.5  33.5  -5.58  -4.62 -0.96
27    TB      -5.5     8   3   5   0  37.5  33.3  -5.87  -6.50  0.63
28    NYJ     -4.0     9   3   6   0  33.3  30.2  -6.89  -6.89 -0.01
29    JAX     -4.5     8   2   6   0  25.0  28.3  -7.88  -7.75 -0.13
30    CHI     -7.5     8   2   6   0  25.0  29.9  -5.10  -6.00  0.90
31    SF     -17.5     8   1   7   0  12.5  23.0 -10.85 -11.62  0.78
32    CLE    -11.0     9   0   9   0   0.0  20.9 -10.33 -11.67  1.34

We’re calculating a new stat now, the home winning percentage. For this data set it’s a shade under 57%. Home winning percentage has been doing down. Last year it was closer to 54%, but it’s up for now this year. The rule of thumb has been that HFA = 3 point spread = 60% advantage, but the rule gets stretched these days.

At this point, some of the races in the AFC and NFC are beginning to shake out, the competitors emerging, front runners slowly falling back.

Global Statistics:
Games  Home Wins Winning_Score Losing_Score Margin
120        69        27.56         17.81      9.75

Calculated Pythagorean Exponent:  2.67

Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     NE      13.5     8   7   1   0  87.5  79.0  11.35  10.62  0.72
2     DAL      7.0     7   6   1   0  85.7  72.8   7.65   8.29 -0.63
3     DEN     10.0     8   6   2   0  75.0  72.1   7.01   7.25 -0.24
4     OAK      2.0     8   6   2   0  75.0  53.8   0.12   1.50 -1.38
5     MIN      9.0     7   5   2   0  71.4  68.5   5.15   5.00  0.15
6     KC       6.0     7   5   2   0  71.4  62.5   3.43   4.14 -0.72
7     SEA      2.0     7   4   2   1  64.3  62.0   0.97   3.14 -2.17
8     HOU      5.0     8   5   3   0  62.5  37.1  -2.10  -3.75  1.65
9     ATL      4.0     8   5   3   0  62.5  58.3   4.81   3.88  0.93
10    PHI     11.0     7   4   3   0  57.1  75.7   9.15   8.86  0.29
11    PIT      8.0     7   4   3   0  57.1  58.3   5.16   2.86  2.31
12    GB       4.0     7   4   3   0  57.1  56.5   2.37   2.29  0.08
13    NYG      1.0     7   4   3   0  57.1  46.1  -0.38  -1.14  0.76
14    WAS      1.0     8   4   3   1  56.2  48.9   0.35  -0.38  0.72
15    BUF      4.0     8   4   4   0  50.0  63.6   4.90   5.00 -0.10
16    DET      0.0     8   4   4   0  50.0  47.5  -1.88  -0.88 -1.01
17    TEN     -3.0     8   4   4   0  50.0  49.6  -2.87  -0.12 -2.74
18    ARI     -1.0     8   3   4   1  43.8  65.8   3.52   4.88 -1.35
19    CIN     -4.0     8   3   4   1  43.8  41.8  -0.87  -2.75  1.88
20    NO      -1.0     7   3   4   0  42.9  45.5  -0.34  -2.00  1.66
21    BAL     -1.0     7   3   4   0  42.9  47.1  -3.80  -0.86 -2.95
22    MIA     -2.0     7   3   4   0  42.9  44.3  -0.51  -1.86  1.34
23    LA      -3.0     7   3   4   0  42.9  33.9  -6.02  -4.86 -1.16
24    TB      -5.0     7   3   4   0  42.9  35.9  -5.36  -5.29 -0.07
25    SD      -2.0     8   3   5   0  37.5  54.0   2.70   1.62  1.07
26    IND     -3.0     8   3   5   0  37.5  43.3  -3.81  -2.75 -1.06
27    NYJ     -5.5     8   3   5   0  37.5  29.5  -6.74  -7.25  0.51
28    CAR     -3.0     7   2   5   0  28.6  48.3  -0.02  -0.71  0.70
29    JAX     -4.0     7   2   5   0  28.6  28.5  -9.63  -8.14 -1.49
30    CHI     -7.5     8   2   6   0  25.0  30.3  -5.14  -6.00  0.86
31    SF     -17.0     7   1   6   0  14.3  24.6  -9.91 -10.71  0.81
32    CLE     -8.5     8   0   8   0   0.0  25.1  -9.24 -10.00  0.76

Oakland? Still a factor at 6-2. Minnesota? Can they rebuild their offensive line enough to protect Sam Bradford? When will Pittsburgh get Roethlisberger back?

Ok, to get a feel for offensive and defensive strengths, you can split SRS, the simple ranking, into an offensive and defensive component. OSRS and DSRS are better the more positive they are. The scale is in points above the average team.

NAME   W  L  T    SRS    MOV    SOS   OSRS   OMOV   OSOS   DSRS   DMOV   DSOS
-----------------------------------------------------------------------------
NE     7  1  0  11.34  10.62   0.72   4.44   4.44   0.00   6.49   6.18   0.31
DAL    6  1  0   7.65   8.29  -0.63   3.83   4.17  -0.35   4.11   4.11   0.00
DEN    6  2  0   7.01   7.25  -0.24   1.59   1.57   0.03   5.68   5.68   0.00
OAK    6  2  0   0.12   1.50  -1.38   4.19   4.19   0.00  -4.36  -2.69  -1.67
MIN    5  2  0   5.15   5.00   0.15  -2.83  -2.83   0.00   8.11   7.83   0.28
KC     5  2  0   3.43   4.14  -0.72   1.03   1.03   0.00   2.12   3.11  -0.99
SEA    4  2  1   0.97   3.14  -2.17  -3.97  -3.97   0.00   4.63   7.11  -2.48
ATL    5  3  0   4.81   3.88   0.93  10.81  10.07   0.74  -6.19  -6.19   0.00
HOU    5  3  0  -2.10  -3.75   1.65  -5.56  -5.56   0.00   3.54   1.81   1.73
PHI    4  3  0   9.15   8.86   0.29   2.89   2.89   0.00   6.15   5.97   0.19
PIT    4  3  0   5.16   2.86   2.31   1.60   1.60   0.00   3.67   1.25   2.42
GB     4  3  0   2.37   2.29   0.08   1.89   1.89   0.00   0.69   0.40   0.29
NYG    4  3  0  -0.38  -1.14   0.76  -3.68  -3.68   0.00   3.18   2.54   0.64
WAS    4  3  1   0.35  -0.38   0.72   0.57   0.57   0.00  -0.14  -0.94   0.80
BUF    4  4  0   4.90   5.00  -0.10   3.70   3.82  -0.12   1.18   1.18   0.00
DET    4  4  0  -1.88  -0.88  -1.01  -0.72   0.19  -0.91  -1.07  -1.07   0.00
TEN    4  4  0  -2.87  -0.12  -2.74  -1.77   0.07  -1.84  -0.89  -0.19  -0.70
ARI    3  4  1   3.52   4.88  -1.35  -1.45  -0.31  -1.14   5.09   5.18  -0.09
CIN    3  4  1  -0.87  -2.75   1.88  -1.81  -1.81   0.00   0.95  -0.94   1.89
NO     3  4  0  -0.34  -2.00   1.66   7.66   6.03   1.63  -8.03  -8.03   0.00
MIA    3  4  0  -0.51  -1.86   1.34  -1.83  -1.83   0.00   1.09  -0.03   1.12
BAL    3  4  0  -3.80  -0.86  -2.95  -5.79  -3.68  -2.11   1.85   2.83  -0.98
TB     3  4  0  -5.36  -5.29  -0.07  -0.97  -0.97   0.00  -4.54  -4.32  -0.22
LA     3  4  0  -6.02  -4.86  -1.16  -6.99  -5.54  -1.45   0.68   0.68   0.00
SD     3  5  0   2.70   1.62   1.07   6.52   5.44   1.08  -3.82  -3.82   0.00
IND    3  5  0  -3.81  -2.75  -1.06   3.30   3.32  -0.02  -6.76  -6.07  -0.69
NYJ    3  5  0  -6.74  -7.25   0.51  -3.93  -3.93   0.00  -2.74  -3.32   0.57
CAR    2  5  0  -0.02  -0.71   0.70   5.71   4.60   1.11  -5.32  -5.32   0.00
JAX    2  5  0  -9.63  -8.14  -1.49  -2.83  -2.83   0.00  -6.88  -5.32  -1.56
CHI    2  6  0  -5.14  -6.00   0.86  -6.31  -6.31   0.00   1.43   0.31   1.12
SF     1  6  0  -9.91 -10.71   0.81  -2.11  -2.11   0.00  -7.79  -8.60   0.81
CLE    0  8  0  -9.25 -10.00   0.75  -2.93  -2.93   0.00  -6.38  -7.07   0.69

If anything surprised me, it was how effective the Dallas defense has been, and how bad the Atlanta defense has been. By this metric, ATL is 27th in the league defensively. Yes, it has the #1 offense in the league, but it pretty much has to outscore everybody.

Washington and Detroit played down to the wire, Arizona and Seattle played to an amazing tie, and Minnesota was beaten for the first time. Philadelphia is at the top of most offensive stats at the moment. Oakland somehow stays in the winning column.

Global Statistics:
Games  Home Wins Winning_Score Losing_Score Margin
107        61        27.62         17.64      9.98

Calculated Pythagorean Exponent:  2.59


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     NE      11.0     7   6   1   0  85.7  78.4  10.37   9.86  0.51
2     DAL     10.5     6   5   1   0  83.3  73.6   5.99   8.67 -2.68
3     MIN     10.5     6   5   1   0  83.3  75.3   8.01   7.50  0.51
4     SEA      2.0     6   4   1   1  75.0  67.3   2.86   4.50 -1.64
5     DEN     12.0     7   5   2   0  71.4  71.6   5.88   7.14 -1.26
6     OAK      1.0     7   5   2   0  71.4  52.1  -0.54   0.86 -1.40
7     PHI     13.0     6   4   2   0  66.7  81.5  10.63  11.33 -0.70
8     KC       6.0     6   4   2   0  66.7  56.5   1.29   2.17 -0.87
9     GB       5.5     6   4   2   0  66.7  58.3   2.17   2.83 -0.66
10    BUF     11.0     7   4   3   0  57.1  71.6   6.97   8.00 -1.03
11    PIT      8.0     7   4   3   0  57.1  58.0   5.01   2.86  2.15
12    ATL      7.0     7   4   3   0  57.1  59.0   4.44   4.29  0.15
13    HOU      3.0     7   4   3   0  57.1  32.9  -3.74  -5.29  1.54
14    WAS      2.0     7   4   3   0  57.1  48.8   0.73  -0.43  1.16
15    DET      1.0     7   4   3   0  57.1  50.0  -0.86   0.00 -0.86
16    NYG      1.0     7   4   3   0  57.1  46.2  -0.21  -1.14  0.93
17    ARI      0.0     7   3   3   1  50.0  72.2   6.26   7.00 -0.74
18    TB      -1.0     6   3   3   0  50.0  36.3  -5.12  -5.17  0.05
19    SD      -1.0     7   3   4   0  42.9  56.9   2.52   3.00 -0.48
20    BAL     -1.0     7   3   4   0  42.9  47.1  -3.33  -0.86 -2.47
21    MIA     -2.0     7   3   4   0  42.9  44.5  -0.28  -1.86  1.58
22    IND     -3.0     7   3   4   0  42.9  48.0  -3.23  -0.86 -2.37
23    LA      -3.0     7   3   4   0  42.9  34.4  -4.77  -4.86  0.09
24    TEN     -7.0     7   3   4   0  42.9  43.7  -3.54  -2.14 -1.40
25    CIN     -8.0     7   3   4   0  42.9  40.6  -1.48  -3.14  1.66
26    NO      -2.0     6   2   4   0  33.3  43.4  -2.29  -3.17  0.88
27    JAX     -3.0     6   2   4   0  33.3  30.7  -8.90  -7.17 -1.73
28    NYJ    -10.0     7   2   5   0  28.6  25.5  -6.20  -8.71  2.51
29    CAR     -3.0     6   1   5   0  16.7  44.2  -2.23  -2.50  0.27
30    CHI     -9.0     7   1   6   0  14.3  25.2  -7.99  -8.29  0.29
31    SF     -17.0     7   1   6   0  14.3  25.2  -9.29 -10.71  1.42
32    CLE    -11.0     7   0   7   0   0.0  23.0  -9.13 -11.00  1.87

Is it too early to look at playoff possibilities?  If nothing else, they give a guide as to what kind of final records teams might expect.

Atlanta deserves better from the refs.

And, if no one can make up their minds about Dak and Romo, would Romo as a modern day Charlie Conerly suffice?

Global Statistics:
Games  Home Wins Winning_Score Losing_Score Margin
92         53        27.97         17.90     10.07

Calculated Pythagorean Exponent:  2.60

Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     MIN     12.0     5   5   0   0 100.0  83.9  10.43  11.20 -0.77
2     NE      12.5     6   5   1   0  83.3  78.3   9.77   9.67  0.10
3     DAL     10.5     6   5   1   0  83.3  73.7   6.62   8.67 -2.05
4     SEA      2.0     5   4   1   0  80.0  68.4   1.88   5.40 -3.52
5     BUF     13.0     6   4   2   0  66.7  76.4   9.32   9.83 -0.52
6     PIT     13.0     6   4   2   0  66.7  64.2   4.81   5.17 -0.36
7     ATL      7.0     6   4   2   0  66.7  61.6   3.80   5.50 -1.70
8     DEN      6.5     6   4   2   0  66.7  66.3   2.93   5.33 -2.40
9     HOU      5.0     6   4   2   0  66.7  39.6  -2.00  -3.17  1.17
10    WAS      4.0     6   4   2   0  66.7  50.0   2.28   0.00  2.28
11    OAK      1.0     6   4   2   0  66.7  45.5  -1.82  -1.83  0.01
12    PHI     15.0     5   3   2   0  60.0  80.6   9.64  11.40 -1.76
13    KC       6.0     5   3   2   0  60.0  54.3   0.11   1.40 -1.29
14    GB       4.0     5   3   2   0  60.0  50.6   2.04   0.20  1.84
15    ARI      5.0     6   3   3   0  50.0  73.2   6.76   8.17 -1.40
16    BAL      0.5     6   3   3   0  50.0  51.1  -0.37   0.33 -0.70
17    LA       0.5     6   3   3   0  50.0  36.1  -4.25  -4.50  0.25
18    DET      0.0     6   3   3   0  50.0  48.7  -1.48  -0.50 -0.98
19    NYG     -0.5     6   3   3   0  50.0  42.2   0.60  -2.50  3.10
20    TEN     -3.0     6   3   3   0  50.0  46.3  -1.94  -1.17 -0.77
21    NO      -1.0     5   2   3   0  40.0  44.8  -2.42  -2.60  0.18
22    JAX     -2.0     5   2   3   0  40.0  35.5  -6.96  -5.20 -1.76
23    TB      -5.0     5   2   3   0  40.0  25.5  -8.26  -9.60  1.34
24    SD      -2.0     6   2   4   0  33.3  57.1   0.88   3.00 -2.12
25    IND     -3.0     6   2   4   0  33.3  44.6  -4.57  -2.33 -2.24
26    MIA     -4.5     6   2   4   0  33.3  41.8  -2.14  -2.67  0.53
27    CIN    -10.0     6   2   4   0  33.3  32.3  -3.72  -6.00  2.28
28    CAR     -3.0     6   1   5   0  16.7  44.2  -2.54  -2.50 -0.04
29    CHI     -7.5     6   1   5   0  16.7  28.8  -6.79  -7.00  0.21
30    NYJ    -14.0     6   1   5   0  16.7  19.5  -8.31 -11.50  3.19
31    SF     -15.5     6   1   5   0  16.7  27.3  -6.70  -9.67  2.97
32    CLE     -8.5     6   0   6   0   0.0  24.0  -7.63 -10.50  2.87

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