Power Rankings 2007, Week 2

The power rankings for this site were developed in this article. The idea behind them is simple: if each team played one home game and one away game against every other team in the league, who would be the most successful?

The first power rankings use linear regression to predict the final score margins of each such game. The score you see along with the rankings is the sum of all of those expected margins.

The second power rankings use logistic regression to predict the probability of winning. The score you see along with the rankings is the expected win total over a 16-game season based on the expected winning percentages over the 62 games (i.e. the sum of those probabilities).

Power Rankings, Linear Regression
Rank	Team	Expected Point Differential
1	NE	11.0563
2	DEN	10.2278
3	PIT	8.9073
4	HOU	7.0583
5	IND	6.3842
6	DAL	6.0052
7	TB	3.3885
8	WAS	2.8176
9	CAR	2.5193
10	DET	2.2201
11	ARI	1.9209
12	MIN	1.8642
13	JAX	1.2880
14	SEA	1.2395
15	PHI	1.1398
16	BAL	0.0029
17	TEN	-0.8355
18	GB	-1.1397
19	CLE	-1.2982
20	CIN	-1.9019
21	STL	-1.9600
22	KC	-3.1525
23	CHI	-3.2782
24	SD	-3.2908
25	NYG	-3.9060
26	SF	-3.9773
27	MIA	-4.1056
28	ATL	-4.2476
29	OAK	-6.6433
30	NYJ	-6.7256
31	BUF	-8.5525
32	NO	-13.0250

Power Rankings, Logistic Regression
Rank	Team	Expected Wins
1	NE	12.7821
2	DEN	12.3057
3	PIT	11.9186
4	IND	11.2294
5	HOU	11.0758
6	DAL	10.9747
7	TB	9.6725
8	CAR	9.4341
9	DET	9.1868
10	WAS	9.1101
11	ARI	9.0378
12	MIN	9.0016
13	JAX	8.8980
14	PHI	8.7440
15	SEA	8.4853
16	BAL	8.2007
17	TEN	7.4589
18	CLE	7.3766
19	GB	7.2951
20	CIN	6.8305
21	KC	6.8023
22	CHI	6.7402
23	STL	6.7007
24	NYG	6.2975
25	SF	6.2020
26	MIA	6.0230
27	SD	5.9910
28	ATL	5.5020
29	OAK	5.1785
30	NYJ	4.9122
31	BUF	4.2329
32	NO	2.3994