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WSO2BigDataGame

BigDataGame, built on WSO2 Machine Learner, is a prediction system for the big football games happening right now. We use Random Forest Regression and WSO2’s open source technology to compare teams and make predictions about who will win. The data sets (from which it learns) are updated after each game.

Latest discussion: Super Bowl 50: Expecting the Unexpected

Game Results

Our predictions are also indicated alongside draw history: successful predictions are marked with a tick. Failures (nothing’s perfect) are marked with a cross.

WILD CARD DIVISIONAL
ROUND
CHAMPIONSHIP
ROUND
BIG GAME CHAMPIONSHIP
ROUND
DIVISIONAL
ROUND
WILD CARD
January 9
PITTSBURGH STEELERS
52.22%
VS
CINCINNATI BENGALS
47.78%
 
 
 
 
January 9
KANSAS CITY CHIEFS
0.00%
VS
HOUSTON TEXANS
0.00%
January 10
SEATTLE SEAHAWKS
0.00%
VS
MINNESOTA VIKINGS
0.00%
 
 
 
 
January 10
GREEN BAY PACKERS
0.00%
VS
WASHINGTON REDSKINS
0.00%
January 16
KANSAS CITY CHIEFS
0.00%
VS
NEW ENGLAND PATRIOTS
0.00%
 
January 17
PITTSBURGH STEELERS
0.00%
VS
DENVER BRONCOS
0.00%
January 16
GREEN BAY PACKERS
0.00%
VS
ARIZONA CARDINALS
0.00%
 
January 17
SEATTLE SEAHAWKS
0.00%
VS
CAROLINA PANTHERS
0.00%
January 24
NEW ENGLAND PATRIOTS
0.00%
VS
DENVER BRONCOS
0.00%
February 7
CAROLINA PANTHERS
0.00%
VS
DENVER BRONCOS
0.00%
January 24
ARIZONA CARDINALS
0.00%
VS
CAROLINA PANTHERS
0.00%

BigDataGame is powered by WSO2 Machine Learner, an open source machine learning solution that generates models for predictive data analysis. For product downloads and more details, visit the WSO2 Machine Learner product page and the WSO2 Machine Learner documentation. For more information on how BigDataGame was built, click here.

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