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andylytics.net

andylytics

September 5, 2012. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Liked posts on Tumblr:.

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andylytics | andylytics.net Reviews
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September 5, 2012. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Liked posts on Tumblr:.
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andylytics | andylytics.net Reviews

https://andylytics.net

September 5, 2012. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Liked posts on Tumblr:.

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1

andylytics - week one

http://andylytics.net/post/30918373988/week-one

September 5, 2012. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Theme is The Atlantic.

2

andylytics: Archive

http://andylytics.net/archive

Filter by post type. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Sep 5, 2012.

3

andylytics

http://andylytics.net/tagged/picks

September 5, 2012. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Liked posts on Tumblr:.

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September 5, 2012. Short description: I’m trying to build a statistical algorithm/model that predicts NFL winners against the spread. I started last year using five years of historical scores/lines and DVOA data from the awesome footballoutsiders. Site Using that algorithm I picked 53.7% correct and had a profitable year in a friendly, low-risk picks league. I was pleased. This year I’m trying to use this project to help learn R. My pick for game one is @NYG -3.5 over DAL at -104. Liked posts on Tumblr:.

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