Predictions 2007 Week 9 and Accuracy Report
The predictions are based on yards per play on rushing and passing plays (sacks and sack yards included), sack rates, third down conversion rates, penalty yards per game, and fumble and interception rates. The models are trained on the 1996-2006 seasons. Linear regression predicts the final score margin (home team points - away team points). Logistic regression estimates the probability that the home team will win.
The predictions are based on yards per play on rushing and passing plays (sacks and sack yards included), sack rates, third down conversion rates, penalty yards per game, and fumble and interception rates. The models are trained on the 1996-2006 seasons. Linear regression predicts the final score margin (home team points - away team points). Logistic regression estimates the probability that the home team will win.
Predictions based on opponent-adjusted stats | ||
Game | Predicted Final Score Margin | P(Home Team Wins) |
CIN @ BUF | 1.0045 | 52.7523 |
WAS @ NYJ | -3.2205 | 39.4645 |
SEA @ CLE | 1.3537 | 53.5113 |
BAL @ PIT | 7.5392 | 75.2282 |
NE @ IND | 2.9047 | 61.2232 |
CAR @ TEN | 5.5641 | 67.9738 |
GB @ KC | -0.9309 | 48.7180 |
HOU @ OAK | 1.1558 | 52.2015 |
DAL @ PHI | -1.7509 | 43.1141 |
DEN @ DET | 2.1942 | 55.9526 |
SD @ MIN | 1.3128 | 57.3044 |
SF @ ATL | 5.2070 | 66.1927 |
JAX @ NO | -0.4927 | 49.1553 |
ARI @ TB | 7.8599 | 73.8157 |
Predictions based on unadjusted stats | ||
Game | Predicted Final Score Margin | P(Home Team Wins) |
CIN @ BUF | 1.3931 | 55.0238 |
WAS @ NYJ | -2.9390 | 40.8522 |
SEA @ CLE | 1.2344 | 53.1285 |
BAL @ PIT | 7.5106 | 75.0971 |
NE @ IND | 1.9491 | 58.4803 |
CAR @ TEN | 5.0706 | 67.4653 |
GB @ KC | -0.2492 | 51.1181 |
HOU @ OAK | 2.4255 | 54.9057 |
DAL @ PHI | -0.5842 | 46.7032 |
DEN @ DET | 6.2572 | 66.6293 |
SD @ MIN | 0.7142 | 53.3107 |
SF @ ATL | 5.6014 | 67.5739 |
JAX @ NO | -0.0740 | 50.9851 |
ARI @ TB | 6.0552 | 70.9135 |
Quick Summary of Accuracy
LAST WEEK
Linear regression, opponent adjusted: 6 out of 13
Logistic regression, opponent adjusted: 5 out of 13
Linear regression, unadjusted: 8 out of 13
Logistic regression, unadjusted: 8 out of 13
YEAR SO FAR
Linear regression, opponent adjusted: 66.6667%
Logistic regression, opponent adjusted: 65.4762%
Linear regression, unadjusted: 61.9048%
Logistic regression, unadjusted: 63.0952%
Full accuracy numbers after the jump...
OPPONENT ADJUSTED
Linear regression
Win prediction accuracy: 66.6667%
Mean absolute error: 11.2464 points
Correlation with result: 0.3735
% of games predicted as home team wins: 69.0476%
Logistic regression
Win prediction accuracy: 65.4762%
Correlation with result: 0.3749
% of games predicted as home team wins: 72.6190%
Win prediction accuracy when 20%≤P(home team wins)<30%: 100.0000
Win prediction accuracy when 30%≤P(home team wins)<40%: 88.8889
Win prediction accuracy when 40%≤P(home team wins)<50%: 58.3333
Win prediction accuracy when 50%≤P(home team wins)<60%: 50.0000
Win prediction accuracy when 60%≤P(home team wins)<70%: 76.4706
Win prediction accuracy when 70%≤P(home team wins)<80%: 58.8235
Win prediction accuracy when 80%≤P(home team wins)<90%: 80.0000
UNADJUSTED
Linear regression
Win prediction accuracy: 61.9048%
Mean absolute error: 11.1272 points
Correlation with result: 0.3770
% of games predicted as home team wins: 64.2857%
Logistic regression
Win prediction accuracy: 63.0952%
Correlation with result: 0.3777
% of games predicted as home team wins: 63.0952%
Win prediction accuracy when 10%≤P(home team wins)<20%: 100.0000
Win prediction accuracy when 20%≤P(home team wins)<30%: 100.0000
Win prediction accuracy when 30%≤P(home team wins)<40%: 66.6667
Win prediction accuracy when 40%≤P(home team wins)<50%: 50.0000
Win prediction accuracy when 50%≤P(home team wins)<60%: 42.8571
Win prediction accuracy when 60%≤P(home team wins)<70%: 70.5882
Win prediction accuracy when 70%≤P(home team wins)<80%: 78.5714
Win prediction accuracy when 80%≤P(home team wins)<90%: 42.8571
Win prediction accuracy when 90%≤P(home team wins)<100%: 100.0000
3 comments:
Glad to see I'm not the only one with IND favored. Personally, I disagree with my own model on this one, but that's part of the fun I suppose.
Don't let one bad week get you down. Last year there were a couple weeks I was 4-10 or so. But then there was a week I was 14-0.
I don't think you'll need to worry about maffia intervention unless your success rate dramatically improves. But you have done a masterful job, both on the statistical applications and the programming!!! Best of luck.
Now that I've discovered your blog, I will follow it as avidly as I follow the hard luck Buffalo Bills, since I reside in Buffalo.
I thought you'd definitely be interested in this site:
http://www.thepredictiontracker.com/nflresults.php
One of my readers sent me the link.
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