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O/U Regressor
Taking regression to the numbers, we build statistical models under a multi-stage scheme to predict future over/under performance.
There are four main stat modules, looking at:
- Drive Chart Stats
- Play-By-Play Ratings
- Down-By-Down Stats
- Directional Rushing Numbers
This 'regressor' was designed to optimize high RegVal games of .20 or more.
| Match-up |
Regressor
Value |
Over/Under
Line |
Pick |
RegVal |
| Buffalo at San Diego |
-1.00 |
42.5 |
Under |
1.00 |
| New Orleans at New England |
-0.90 |
46 |
Under |
0.90 |
| Carolina at Chicago |
0.85 |
34.5 |
Over |
0.85 |
| Indianapolis at Cincinnati |
-0.59 |
47 |
Under |
0.59 |
| N.Y. Jets at Denver |
-0.48 |
40.5 |
Under |
0.48 |
| Philadelphia at N.Y. Giants |
0.45 |
43 |
Over |
0.45 |
| Kansas City at Houston |
0.43 |
44 |
Over |
0.43 |
| Detroit at Dallas |
-0.41 |
39 |
Under |
0.41 |
| Jacksonville at Tennessee |
0.31 |
38.5 |
Over |
0.31 |
| Oakland at Washington |
0.25 |
42 |
Over |
0.25 |
| Tampa Bay at Atlanta |
-0.23 |
38 |
Under |
0.23 |
| Miami at Cleveland |
-0.13 |
36 |
Under |
0.13 |
| Pittsburgh at Baltimore |
0.11 |
34.5 |
Over |
0.11 |
| Arizona at St. Louis |
-0.10 |
49 |
Under |
0.10 |
| Minnesota at Green Bay |
-0.08 |
44.5 |
Under |
0.08 |
| Seattle at San Francisco |
-0.03 |
42.5 |
Under |
0.03 |
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