December 2017


As I’m really away from home and short of time, I’ll mention my methodology is described in depth here.

The first table is the worksheet. Values will not change throughout the playoffs.

2017 NFL Playoff Teams, C&F Worksheet.
NFC
Rank Name Home Field Adv Playoff Experience SOS Total Score
1 Philadelphia Eagles 0.660 0 -0.216 0.444
2 Minnesota Vikings 0.660 0.747 0.301 1.708
3 Los Angeles Rams 0.660 0.0 -0.046 0.614
4 New Orleans Saints 0.660 0 0.471 1.131
5 Carolina Panthers 0.0 0.747 0.629 1.376
6 Atlanta Falcons 0.0 0.747 0.575 1.322
AFC
1 New England Patriots 0.660 0.747 -0.377 1.030
2 Pittsburgh Steelers 0.660 0.747 -0.334 1.073
3 Jacksonville Jaguars 0.660 0 -0.842 -0.182
4 Kansas City Chiefs 0.660 0.747 -0.404 1.003
5 Tennessee Titans 0.0 0.0 -0.644 -0.644
6 Buffalo Bills 0.0 0.0 -0.146 -0.146

 

LA is not favored by this model and neither are AFC teams. The NFC South’s toughness shows through in the SOS marks for this data set. Minnesota and/or NFC South Teams largely have advantages over almost any matchup the AFC can offer. Finally, an open Q is, is Drew Brees elite enough that his team should be granted the PPX bonus? For now I’d consider this a question to be answered later.

This second table shows odds for the first round, calculated for you. The only home team it favors is Kansas City.

First Round Playoff Odds
Home Team Visiting Team Score Diff Win Prob Est. Point Spread
Los Angeles Rams Atlanta Falcons -0.708 0.330 -5.2
New Orleans Saints Carolina Panthers -0.245 0.439 -1.8
Jacksonville Jaguars Buffalo Bills -0.036 0.491 -0.3
Kansas City Chiefs Tennessee Titans 1.647 0.838 12.1
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Last set of regular data for the year. Going to try and grind out playoff stats before I head off for the first. Atlanta takes the final playoff spot in the NFC, and the Bills and Titans make the playoffs in the AFC.

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
256       145     56.6      27.63        15.81     11.81

Calculated Pythagorean Exponent:  2.69


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     NE      12.0    16  13   3   0  81.3  76.4   8.89  10.13 -1.24
2     MIN      9.0    16  13   3   0  81.3  75.4   9.12   8.13  0.99
3     PHI      8.5    16  13   3   0  81.3  76.4   9.41  10.13 -0.71
4     PIT      3.5    16  13   3   0  81.3  67.8   5.02   6.13 -1.10
5     NO       9.5    16  11   5   0  68.8  70.2   9.17   7.63  1.55
6     LA       5.5    16  11   5   0  68.8  73.2   9.16   9.31 -0.15
7     CAR      3.0    16  11   5   0  68.8  57.0   4.32   2.25  2.07
8     JAX      9.0    16  10   6   0  62.5  76.7   6.54   9.31 -2.77
9     KC       7.5    16  10   6   0  62.5  63.3   3.42   4.75 -1.33
10    ATL      3.0    16  10   6   0  62.5  57.6   4.26   2.38  1.89
11    BAL      7.0    16   9   7   0  56.3  67.1   3.40   5.75 -2.35
12    DAL      4.5    16   9   7   0  56.3  54.3   1.60   1.38  0.22
13    BUF      4.5    16   9   7   0  56.3  38.6  -4.04  -3.56 -0.48
14    DET      3.0    16   9   7   0  56.3  55.8   2.72   2.13  0.60
15    SEA      3.0    16   9   7   0  56.3  56.5   1.89   2.13 -0.24
16    LAC      3.0    16   9   7   0  56.3  67.2   3.64   5.19 -1.54
17    TEN      3.0    16   9   7   0  56.3  45.7  -3.50  -1.38 -2.12
18    ARI     -1.5    16   8   8   0  50.0  36.7  -3.72  -4.13  0.41
19    CIN     -3.0    16   7   9   0  43.8  37.8  -4.98  -3.69 -1.29
20    GB      -5.0    16   7   9   0  43.8  38.0  -1.90  -4.00  2.10
21    WAS     -5.5    16   7   9   0  43.8  41.6  -1.30  -2.88  1.58
22    SF      -2.5    16   6  10   0  37.5  40.3  -2.85  -3.25  0.40
23    OAK     -4.5    16   6  10   0  37.5  36.0  -4.73  -4.50 -0.23
24    MIA     -7.0    16   6  10   0  37.5  28.9  -6.26  -7.00  0.74
25    TB      -3.0    16   5  11   0  31.3  41.3  -1.28  -2.94  1.66
26    CHI     -4.5    16   5  11   0  31.3  37.3  -1.29  -3.50  2.21
27    NYJ     -6.0    16   5  11   0  31.3  33.9  -4.95  -5.25  0.30
28    DEN     -8.5    16   5  11   0  31.3  32.1  -6.73  -5.81 -0.91
29    IND     -5.0    16   4  12   0  25.0  24.0 -10.10  -8.81 -1.29
30    HOU     -7.5    16   4  12   0  25.0  33.5  -6.43  -6.13 -0.30
31    NYG     -8.5    16   3  13   0  18.8  22.7  -7.57  -8.88  1.31
32    CLE    -13.0    16   0  16   0   0.0  18.1 -10.95 -11.00  0.05

Playoffs become more and more decided. All division winners are decided but in the NFC South, where it will either be Carolina or New Orleans. Five of the six NFC slots are sewn up, with Atlanta and Seattle competing for the 6th playoff slot. In the AFC, all the division winners are decided, with the 5th and 6th playoff slots in play. Baltimore has over a 90% change to take one slot, according to Five Thirty Eight, with Tennessee at about 60%, and the Chargers and the Bills with marginal chances for a playoff bid.


Games  Home Wins HwPct Winning_Score Losing_Score Margin
240       135     56.2      27.82        15.90     11.92

Calculated Pythagorean Exponent:  2.79


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     PHI      9.0    15  13   2   0  86.7  78.2  10.32  11.20 -0.88
2     NE       8.0    15  12   3   0  80.0  75.2   8.59   9.47 -0.87
3     MIN      8.0    15  12   3   0  80.0  75.0   9.14   7.80  1.34
4     PIT      3.0    15  12   3   0  80.0  68.9   5.79   6.27 -0.48
5     NO      10.0    15  11   4   0  73.3  73.3  10.45   8.60  1.85
6     LA       6.0    15  11   4   0  73.3  78.0  11.30  11.33 -0.03
7     CAR      3.0    15  11   4   0  73.3  60.0   5.01   3.20  1.81
8     JAX     12.0    15  10   5   0  66.7  79.0   7.46  10.27 -2.81
9     KC       8.0    15   9   6   0  60.0  64.1   3.97   4.87 -0.90
10    BAL      7.0    15   9   6   0  60.0  69.9   4.23   6.40 -2.17
11    SEA      3.0    15   9   6   0  60.0  57.7   2.40   2.40 -0.00
12    ATL      3.0    15   9   6   0  60.0  55.7   3.49   1.73  1.76
13    DET      3.0    15   8   7   0  53.3  51.9   1.41   0.67  0.75
14    DAL      3.0    15   8   7   0  53.3  53.3   0.76   1.07 -0.31
15    TEN      3.0    15   8   7   0  53.3  44.4  -4.38  -1.80 -2.58
16    BUF      3.0    15   8   7   0  53.3  36.2  -4.37  -4.20 -0.17
17    LAC      1.0    15   8   7   0  53.3  64.6   2.93   4.20 -1.27
18    WAS     -3.0    15   7   8   0  46.7  42.5  -0.32  -2.53  2.22
19    GB      -3.0    15   7   8   0  46.7  41.6  -0.71  -2.67  1.96
20    ARI     -5.0    15   7   8   0  46.7  34.8  -4.34  -4.53  0.19
21    OAK     -3.0    15   6   9   0  40.0  38.7  -4.00  -3.47 -0.54
22    CIN     -3.0    15   6   9   0  40.0  35.3  -5.81  -4.20 -1.61
23    MIA     -8.0    15   6   9   0  40.0  28.1  -6.02  -7.07  1.04
24    SF      -3.0    15   5  10   0  33.3  35.1  -4.87  -4.87 -0.01
25    CHI     -3.0    15   5  10   0  33.3  39.3  -1.20  -2.87  1.66
26    NYJ     -5.0    15   5  10   0  33.3  36.5  -4.56  -4.27 -0.29
27    DEN    -10.0    15   5  10   0  33.3  30.7  -7.28  -6.00 -1.28
28    TB      -3.0    15   4  11   0  26.7  38.8  -2.48  -3.60  1.12
29    HOU     -7.0    15   4  11   0  26.7  33.7  -5.62  -5.93  0.32
30    IND     -6.0    15   3  12   0  20.0  20.6 -10.94 -10.00 -0.94
31    NYG    -10.0    15   2  13   0  13.3  19.6  -8.61 -10.00  1.39
32    CLE    -14.0    15   0  15   0   0.0  15.9 -11.72 -11.47 -0.26

Things begin to clear in the playoff picture. Atlanta wins, they are in. New England beats the Steelers, again. Aaron Rogers has no magical comeback. Derek Carr tries a little too much to win a game. Jacksonville still appears to be a major spoiler come playoff time.

Week 14 stats

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
208       115     55.3      27.94        16.16     11.78

Calculated Pythagorean Exponent:  2.63


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     PHI     10.0    13  11   2   0  84.6  77.9  11.51  11.85 -0.33
2     PIT      3.0    13  11   2   0  84.6  65.4   4.49   5.31 -0.82
3     NE       8.0    13  10   3   0  76.9  73.4   8.26   9.08 -0.81
4     MIN      8.0    13  10   3   0  76.9  67.2   7.70   5.69  2.01
5     JAX     12.0    13   9   4   0  69.2  78.3   7.51   9.77 -2.26
6     NO       9.0    13   9   4   0  69.2  71.0  10.33   8.23  2.10
7     LA       6.0    13   9   4   0  69.2  74.2  10.12  10.08  0.05
8     CAR      3.0    13   9   4   0  69.2  58.8   5.14   2.92  2.22
9     SEA      3.0    13   8   5   0  61.5  64.1   3.71   4.77 -1.06
10    ATL      3.0    13   8   5   0  61.5  57.8   4.04   2.54  1.50
11    TEN      3.0    13   8   5   0  61.5  45.1  -4.64  -1.62 -3.02
12    DAL     11.0    13   7   6   0  53.8  54.7   1.23   1.69 -0.46
13    KC       7.0    13   7   6   0  53.8  58.4   2.47   3.08 -0.60
14    BAL      7.0    13   7   6   0  53.8  66.2   4.83   5.54 -0.71
15    DET      3.0    13   7   6   0  53.8  51.8   1.83   0.69  1.14
16    GB       3.0    13   7   6   0  53.8  46.2  -0.10  -1.31  1.21
17    BUF      3.0    13   7   6   0  53.8  37.8  -4.37  -3.85 -0.52
18    LAC      1.0    13   7   6   0  53.8  67.7   4.26   5.62 -1.35
19    OAK     -1.0    13   6   7   0  46.2  40.8  -4.62  -3.08 -1.55
20    MIA     -3.0    13   6   7   0  46.2  31.4  -5.07  -6.31  1.24
21    ARI     -6.0    13   6   7   0  46.2  30.3  -5.75  -6.62  0.86
22    CIN     -3.0    13   5   8   0  38.5  38.3  -5.90  -3.46 -2.44
23    NYJ     -5.0    13   5   8   0  38.5  39.9  -4.78  -3.46 -1.32
24    WAS     -8.0    13   5   8   0  38.5  37.9  -1.12  -4.54  3.42
25    CHI     -3.0    13   4   9   0  30.8  37.1  -1.23  -3.85  2.62
26    TB      -5.0    13   4   9   0  30.8  39.2  -3.10  -3.69  0.59
27    HOU     -6.0    13   4   9   0  30.8  45.3  -2.74  -1.77 -0.97
28    DEN    -10.0    13   4   9   0  30.8  30.2  -7.05  -6.62 -0.44
29    SF      -3.0    13   3  10   0  23.1  30.1  -6.66  -6.62 -0.04
30    IND     -4.0    13   3  10   0  23.1  22.0 -11.02 -10.08 -0.95
31    NYG    -10.0    13   2  11   0  15.4  22.2  -8.32  -9.38  1.06
32    CLE    -12.0    13   0  13   0   0.0  19.9 -10.96 -10.62 -0.34

Week 15 stats

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
224       124     55.4      28.00        16.15     11.85

Calculated Pythagorean Exponent:  2.74


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     PHI      9.0    14  12   2   0  85.7  77.5  10.65  11.36 -0.70
2     MIN      8.0    14  11   3   0  78.6  72.2   8.76   7.21  1.55
3     NE       7.5    14  11   3   0  78.6  73.1   8.22   8.64 -0.43
4     PIT      3.0    14  11   3   0  78.6  64.2   4.52   4.71 -0.20
5     JAX     14.0    14  10   4   0  71.4  83.1   8.90  11.79 -2.88
6     NO       9.5    14  10   4   0  71.4  72.4  10.40   8.50  1.90
7     LA       8.0    14  10   4   0  71.4  78.6  11.89  11.86  0.03
8     CAR      4.5    14  10   4   0  71.4  59.9   5.33   3.21  2.12
9     ATL      3.0    14   9   5   0  64.3  58.1   3.81   2.57  1.24
10    BAL     10.0    14   8   6   0  57.1  69.4   4.77   6.36 -1.59
11    KC       7.5    14   8   6   0  57.1  61.6   3.75   4.07 -0.32
12    DAL      7.0    14   8   6   0  57.1  55.3   1.31   1.79 -0.47
13    BUF      4.5    14   8   6   0  57.1  40.0  -3.80  -3.00 -0.80
14    DET      3.0    14   8   6   0  57.1  53.7   2.47   1.36  1.12
15    SEA      3.0    14   8   6   0  57.1  56.0   1.74   1.93 -0.19
16    TEN      3.0    14   8   6   0  57.1  44.9  -5.46  -1.64 -3.81
17    GB       0.0    14   7   7   0  50.0  44.9  -0.37  -1.71  1.34
18    LAC     -0.5    14   7   7   0  50.0  63.3   3.33   4.00 -0.67
19    OAK     -2.0    14   6   8   0  42.9  40.4  -4.15  -3.07 -1.08
20    WAS     -5.5    14   6   8   0  42.9  39.0  -1.01  -3.86  2.85
21    MIA     -5.5    14   6   8   0  42.9  30.2  -5.50  -6.43  0.93
22    ARI     -5.5    14   6   8   0  42.9  29.7  -5.80  -6.50  0.70
23    CIN     -3.5    14   5   9   0  35.7  32.4  -6.96  -5.14 -1.81
24    NYJ     -5.0    14   5   9   0  35.7  37.8  -4.27  -4.07 -0.20
25    DEN     -8.5    14   5   9   0  35.7  33.2  -6.51  -5.29 -1.22
26    SF      -3.0    14   4  10   0  28.6  31.3  -6.77  -6.00 -0.77
27    TB      -4.0    14   4  10   0  28.6  38.9  -2.63  -3.64  1.01
28    CHI     -4.5    14   4  10   0  28.6  34.9  -1.71  -4.29  2.58
29    HOU     -6.5    14   4  10   0  28.6  38.3  -4.73  -4.36 -0.38
30    IND     -5.0    14   3  11   0  21.4  20.6 -11.70 -10.21 -1.49
31    NYG     -8.5    14   2  12   0  14.3  22.9  -7.21  -9.07  1.86
32    CLE    -13.0    14   0  14   0   0.0  17.8 -11.28 -11.07 -0.21

This question came up when I was looking up the last year in the playoffs for seven probable NFC playoff teams. Both New Orleans and Philadelphia last played in the playoffs four years ago, in 2013. And then the thought came up in my head, “But Drew Brees is a veteran QB.” This seems intuitive, but wanting to actually create such a definition and then later to test this using a logistic regression, there is the rub.

There are any number of QBs a fan can point to and see that the QB mattered. Roger Staubach seemed a veteran in this context back in the 1970s, Joe Montana in the 1980s, Ben Roethlisberger in the 21st century, Eli Manning in 2011, and Aaron Rogers last year. But plenty of questions abound. If a veteran QB is an independent variable whose presence or absence changes the odds of winning a playoff game, what tools do we use to define such a person? What tools would we use to eliminate entanglement, in this case between the team’s overall offensive strength and the QB himself?

The difference between a good metric and a bad metric can be seen when looking at the effect of the running game on winning. The correlation between rushing yards per carry and winning is pretty small. The correlation between run success rate and winning are larger. In short, being able to reliably make it on 3rd and 1 contributes more to success than running 5 yards a carry as opposed to 4.

At this point I’m just discussing the idea. With a definition in mind, we can do one independent variable logistic regression tests. Then with a big enough data set – 15 years of playoff data should be enough, we can start testing three independent variable logistic models (QB + SOS + PPX).

Best wishes for Ryan Shazier after his horrible accident last night.

For those of you interested in predictive stats, you might want to read up on ESPN’s FPI, which is a predictive stat and considers, among other things, previous seasons. In that it’s similar to my playoff formula, as my formula takes into account previous playoff experience. I don’t know the whole of what is in FPI, as it’s a classic proprietary stat. But it’s worth keeping ears open, and listening to how ESPN has evolved the metric.

This post will give data for a two week span. Week 12 and also week 13. Week 12 will be on top.

In Week 12, it looked as if Philadelphia was firming up a grip on #1 in a variety of metrics. Their loss in week 13 has made searching for “the best” the same kind of mad mix it was earlier in the season.

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
176        94     53.4      28.06        16.19     11.86

Calculated Pythagorean Exponent:  2.65

Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     PHI     13.0    11  10   1   0  90.9  83.4  13.13  14.55 -1.41
2     NE       8.0    11   9   2   0  81.8  73.8   9.28   9.55 -0.27
3     MIN      8.0    11   9   2   0  81.8  70.5   8.95   6.91  2.04
4     PIT      5.0    11   9   2   0  81.8  68.3   5.12   5.91 -0.79
5     NO       9.0    11   8   3   0  72.7  72.8  10.98   9.09  1.89
6     LA       6.0    11   8   3   0  72.7  77.6  10.85  11.18 -0.33
7     CAR      3.0    11   8   3   0  72.7  61.8   4.48   3.73  0.75
8     JAX     12.0    11   7   4   0  63.6  77.7   7.17   9.18 -2.01
9     ATL      4.0    11   7   4   0  63.6  59.3   2.72   3.18 -0.46
10    SEA      3.0    11   7   4   0  63.6  64.6   1.96   4.91 -2.95
11    TEN      3.0    11   7   4   0  63.6  43.0  -5.73  -2.45 -3.27
12    KC       7.0    11   6   5   0  54.5  59.3   4.19   3.27  0.92
13    BAL      7.0    11   6   5   0  54.5  65.0   2.83   4.45 -1.63
14    DET      3.0    11   6   5   0  54.5  57.1   3.97   2.73  1.24
15    BUF      3.0    11   6   5   0  54.5  40.2  -3.48  -3.27 -0.21
16    OAK     -1.0    11   5   6   0  45.5  40.3  -4.59  -3.27 -1.32
17    LAC     -2.0    11   5   6   0  45.5  63.5   3.79   4.27 -0.48
18    WAS     -3.0    11   5   6   0  45.5  45.5   2.17  -1.64  3.81
19    GB      -3.0    11   5   6   0  45.5  42.3  -0.30  -2.64  2.33
20    CIN     -3.0    11   5   6   0  45.5  44.9  -4.71  -1.45 -3.26
21    DAL     -4.0    11   5   6   0  45.5  44.4  -1.28  -2.00  0.72
22    ARI     -6.0    11   5   6   0  45.5  30.3  -6.49  -6.82  0.33
23    HOU     -3.0    11   4   7   0  36.4  49.5  -0.48  -0.18 -0.30
24    NYJ     -5.0    11   4   7   0  36.4  42.1  -4.59  -2.64 -1.95
25    TB      -5.0    11   4   7   0  36.4  39.5  -3.25  -3.55  0.29
26    MIA    -10.0    11   4   7   0  36.4  20.7  -9.42 -10.45  1.03
27    IND     -3.0    11   3   8   0  27.3  24.2 -11.19  -9.55 -1.65
28    CHI     -6.0    11   3   8   0  27.3  28.2  -2.43  -6.82  4.39
29    DEN    -10.0    11   3   8   0  27.3  28.2  -6.75  -7.55  0.79
30    NYG    -10.0    11   2   9   0  18.2  23.8  -6.80  -8.64  1.83
31    SF      -3.0    11   1  10   0   9.1  24.8  -8.61  -8.82  0.21
32    CLE    -14.0    11   0  11   0   0.0  18.7 -11.49 -11.18 -0.31

Week 13 data:

Global Statistics:
Games  Home Wins HwPct Winning_Score Losing_Score Margin
192       105     54.7      28.01        16.08     11.93

Calculated Pythagorean Exponent:  2.66


Rank  Team    Median  GP   W   L   T  Pct   Pred   SRS    MOV   SOS
------------------------------------------------------------------------
1     NE      12.0    12  10   2   0  83.3  76.6   9.70  10.42 -0.71
2     PHI     11.5    12  10   2   0  83.3  79.9  10.21  12.17 -1.96
3     MIN      8.0    12  10   2   0  83.3  70.9   8.57   6.75  1.82
4     PIT      4.0    12  10   2   0  83.3  67.7   4.91   5.67 -0.76
5     NO       9.5    12   9   3   0  75.0  73.0  10.98   9.17  1.81
6     LA       8.0    12   9   3   0  75.0  78.5  10.76  11.58 -0.82
7     JAX     14.0    12   8   4   0  66.7  79.9   7.97  10.08 -2.12
8     SEA      4.5    12   8   4   0  66.7  67.1   3.83   5.67 -1.84
9     TEN      3.5    12   8   4   0  66.7  46.1  -3.53  -1.33 -2.20
10    CAR      3.0    12   8   4   0  66.7  58.1   4.14   2.58  1.56
11    BAL     10.0    12   7   5   0  58.3  69.1   5.30   6.08 -0.79
12    ATL      3.5    12   7   5   0  58.3  57.7   3.18   2.50  0.68
13    DAL      3.5    12   6   6   0  50.0  50.5  -0.15   0.17 -0.32
14    KC       3.0    12   6   6   0  50.0  56.7   2.17   2.42 -0.25
15    DET      0.0    12   6   6   0  50.0  51.3   1.98   0.50  1.48
16    GB       0.0    12   6   6   0  50.0  44.3   0.18  -1.92  2.10
17    OAK      0.0    12   6   6   0  50.0  42.7  -4.47  -2.42 -2.05
18    LAC     -0.5    12   6   6   0  50.0  65.1   2.77   4.67 -1.89
19    BUF     -0.5    12   6   6   0  50.0  35.7  -4.15  -4.67  0.52
20    CIN     -3.0    12   5   7   0  41.7  44.5  -3.78  -1.58 -2.20
21    NYJ     -4.0    12   5   7   0  41.7  44.7  -2.89  -1.83 -1.05
22    WAS     -5.5    12   5   7   0  41.7  40.6  -0.53  -3.50  2.97
23    MIA     -6.5    12   5   7   0  41.7  28.0  -6.62  -7.42  0.80
24    ARI     -8.0    12   5   7   0  41.7  28.4  -6.41  -7.58  1.18
25    HOU     -4.5    12   4   8   0  33.3  47.1  -0.96  -1.08  0.12
26    TB      -5.0    12   4   8   0  33.3  38.9  -3.29  -3.75  0.46
27    IND     -3.5    12   3   9   0  25.0  22.0 -10.54 -10.42 -0.12
28    CHI     -4.5    12   3   9   0  25.0  29.1  -3.16  -6.33  3.18
29    DEN    -10.0    12   3   9   0  25.0  24.4  -9.42  -9.08 -0.34
30    SF      -3.0    12   2  10   0  16.7  26.2  -8.20  -8.00 -0.20
31    NYG     -8.5    12   2  10   0  16.7  24.1  -8.03  -8.50  0.47
32    CLE    -13.0    12   0  12   0   0.0  18.4 -10.50 -11.00  0.50