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Regressor
Taking regression to the numbers, we build statistical models under a multi-stage scheme to predict future performance. There are four main stat modules, looking at:
- Drive Chart Stats
- Play-By-Play Ratings
- Down-By-Down Stats
- Directional Rushing Numbers
We present whichever of these modules is most applicable in a given stage of the season.
Play-By-Play Regressions
This 'regressor' was designed to optimize high RegVal games of .40 or more.
| Match-up |
Regressor
Value |
Line
(home) |
Pick |
RegVal |
| Tampa Bay at Atlanta |
+0.67 |
-6 |
Tampa Bay |
0.67 |
| Seattle at San Francisco |
+0.59 |
+12 |
Seattle |
0.59 |
| N.Y. Jets at Denver |
+0.44 |
-13 |
N.Y. Jets |
0.44 |
| Oakland at Washington |
-0.34 |
-6 |
Washington |
0.34 |
| Pittsburgh at Baltimore |
-0.33 |
+4 |
Baltimore |
0.33 |
| Miami at Cleveland |
+0.32 |
-2 |
Miami |
0.32 |
| Minnesota at Green Bay |
+0.29 |
-4 |
Minnesota |
0.29 |
| Carolina at Chicago |
+0.21 |
+3 |
Carolina |
0.21 |
| Indianapolis at Cincinnati |
-0.19 |
+5.5 |
Cincinnati |
0.19 |
| Arizona at St. Louis |
+0.19 |
-9.5 |
Arizona |
0.19 |
| New Orleans at New England |
+0.18 |
-10 |
New Orleans |
0.18 |
| Jacksonville at Tennessee |
-0.18 |
+4 |
Tennessee |
0.18 |
| Kansas City at Houston |
-0.13 |
+6.5 |
Houston |
0.13 |
| Buffalo at San Diego |
+0.08 |
-10 |
Buffalo |
0.08 |
| Detroit at Dallas |
-0.05 |
-8.5 |
Dallas |
0.05 |
| Philadelphia at N.Y. Giants |
+0.04 |
-4 |
Philadelphia |
0.04 |
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