Week 12
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Week 12
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Prediction: Texans win 28-27
Pick: Lions +3.5
O/U: Over 50.5
Prediction: Redskins win 26-23
Pick: Redskins +3
O/U: Over 48
Prediction: Patriots win 35-19
Pick: Patriots -7
O/U: Over 48
Prediction: Bengals win 25-22
Pick: Raiders +8
O/U: Under 49
Prediction: Falcons win 26-25
Pick: Falcons -1 (PUSH)
O/U: Over 49
Prediction: Steelers win 22-19
Pick: Steelers -3.5
O/U: Over 34.5
Prediction: Titans win 23-17
Pick: Titans -3
O/U: Under 43.5
Prediction: Seahawks win 22-20
Pick: Dolphins +3
O/U: Over 37.5
Prediction: Colts win 29-24
Pick: Colts -3
O/U: Over 51.5
Prediction: Vikings win 25-24
Pick: Vikings +5.5
O/U: Over 39
Prediction: Broncos win 28-21
Pick: Chiefs +10
O/U: Over 44
Prediction: Ravens win 25-23
Pick: Baltimore -2
O/U: Over 47
Prediction: Rams win 20-19
Pick: Rams +3
O/U: Over 37.5
Prediction: Saints win 28-26
Pick: Saints +1.5
O/U: Over 49
Prediction: Packers win 28-24
Pick: Packers +2.5
O/U: Over 49.5
Prediction: Eagles win 26-22
Pick: Eagles -2.5
O/U: Over 40.5
Cheers.
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StatsInTheWild NFL rankings as of November 20, 2012 at 12:34pm. SOS=strength of schedule
| Team | Rank | Change | Record | Projected Record | ESPN | TeamRankings.com | SOS | Prob Make Playoffs |
| Houston | 1 | – | 9-1 | 13-3 | 1 | 1 | 19 | 99.92% |
| NewEngland | 2 | ↑2 | 7-3 | 11-5 | 8 | 2 | 16 | 98.82% |
| San Francisco | 3 | ↑2 | 7-2-1 | 12-3-1 | 3 | 6 | 7 | 94.63% |
| Green Bay | 4 | ↓1 | 7-3 | 11-5 | 4 | 4 | 5 | 89.01% |
| Atlanta | 5 | ↑1 | 9-1 | 13-3 | 2 | 7 | 29 | 99.4% |
| Chicago | 6 | ↓4 | 7-3 | 10-6 | 6 | 8 | 8 | 83.2% |
| Denver | 7 | – | 7-3 | 11-5 | 7 | 3 | 27 | 99.67% |
| Baltimore | 8 | ↑1 | 8-2 | 12-4 | 5 | 5 | 26 | 99.03% |
| Seattle | 9 | ↓1 | 6-4 | 9-7 | 12 | 9 | 6 | 40.62% |
| NY Giants | 10 | ↑1 | 6-4 | 9-7 | 9 | 15 | 18 | 71.54% |
| Minnesota | 11 | ↓1 | 6-4 | 9-7 | 14 | 14 | 4 | 30.48% |
| Tampa Bay | 12 | – | 6-4 | 9-7 | 10 | 11 | 24 | 35.00% |
| Pittsburgh | 13 | – | 6-4 | 9-7 | 11 | 12 | 31 | 77.79% |
| New Orleans | 14 | ↑5 | 5-5 | 8-8 | 13 | 10 | 15 | 6.51% |
| Dallas | 15 | ↑1 | 5-5 | 8-8 | 16 | 16 | 17 | 37.19% |
| Detroit | 16 | ↓2 | 4-6 | 6-10 | 19 | 19 | 3 | 0.94% |
| Arizona | 17 | – | 4-6 | 7-9 | 25 | 25 | 2 | 0.72% |
| NY Jets | 18 | ↑5 | 4-6 | 7-9 | 22 | 17 | 11 | 16.47% |
| Washington | 19 | ↑5 | 4-6 | 7-9 | 18 | 22 | 21 | 10.08% |
| Cincinnati | 20 | ↑2 | 5-5 | 8-8 | 17 | 20 | 32 | 34.32% |
| Indianapolis | 21 | ↓6 | 6-4 | 9-7 | 15 | 13 | 22 | 48.51% |
| St. Louis | 22 | ↓4 | 3-6-1 | 5-10-1 | 26 | 23 | 1 | 0.20% |
| Miami | 23 | ↓3 | 4-6 | 6-10 | 20 | 24 | 14 | 5.05% |
| San Diego | 24 | ↓3 | 4-6 | 7-9 | 21 | 27 | 30 | 4.55% |
| Buffalo | 25 | ↑2 | 4-6 | 7-9 | 24 | 21 | 20 | 12.67% |
| Tennessee | 26 | ↓1 | 4-6 | 7-9 | 23 | 18 | 10 | 3.01% |
| Carolina | 27 | ↓1 | 2-8 | 5-11 | 29 | 26 | 12 | 0.0% |
| Cleveland | 28 | ↑1 | 2-8 | 4-12 | 30 | 28 | 25 | 0.0% |
| Philadelphia | 29 | ↓1 | 3-7 | 5-11 | 27 | 30 | 13 | 0.44% |
| Oakland | 30 | – | 3-7 | 5-11 | 28 | 29 | 28 | 0.15% |
| Jacksonville | 31 | – | 1-9 | 3-13 | 31 | 31 | 9 | 0.0% |
| Kansas City | 32 | – | 1-9 | 3-13 | 32 | 32 | 23 | 0.0% |
5 Spots: New Orleans, New York Jets, Washington
2 Spots: New England, San Francisco, Cincinnati, Buffalo
6 Spots: Indianapolis
4 Spots: Chicago, St. Louis
3 Spots: Miami, San Diego
2 Spots: Detroit
AFC: Denver beat Indianapolis; New England beats Pittsburgh
NFC: Green Bay beats Seattle; Chicago beats the NY Giants
AFC: Houston beats New England; Denver beats Baltimore
NFC: Atlanta beats Chicago; San Francisco beats Green Bay
AFC: Houston beats Denver
NFC: San Francisco beats Atlanta
Houston beats San Francisco
Cheers.
Add your thoughts here… (optional)
I’ve been interested in building a web app using R for a while, but never put any time into it until I was informed of the Shiny package. It looked too easy, so I absolutely had to try it out.
First you need to install the package from the command line .
options(repos=c(RStudio="http://rstudio.org/_packages", getOption("repos")))
install.packages("shiny")
The version in the tutorial uses a two R files, won the front end(ui.R) and the other being the server side (server.R). However, I wanted a refresher in HTML, so I built it with one HTML and one R file. The structure is defined here.
For the data, I’m using MLS (home sales) data for Philadelphia, which I’ve been sitting on for quite a while. The thought behind the app is to be able to examine monthly average listing prices to monthly average prices, and in the end it turned out rather well.
View original post 435 more words
11-2 this week against the spread with Green Bay, Tampa Bay, and San Diego all narrowly covering. I’ve got Chicago tonight +5.5 with a predicted total of 51 as a tie breaker. I don’t really think they are going to get anywhere close to 51, but I’m also not about to abandon the system that got me an 11-2 week. So, I’m predicting San Francisco 27-24 tonight with the Bears covering in a loss. 
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I’m in two different NFL pools, and the spreads lock at different times during the week. Early in the week Baltimore was +3.5, and by the end of the week Pittsburgh was +3.5. So, I have Baltimore +3.5 in one pool, and Pittsburgh +3.5 in the other. Winning both would be nice, and looks very possible right now.