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Basketball Mathematics Statistics

NBA Scores Predictions – April 11, 2015

I am testing out a new algorithm that I have been developing over the past few months that attempts to predict the outcome of sports games, in particular, NBA games. I am taking it out for a “Test Run” today. Here is what I predict:

aprl112015predictions

Probabilities in principle are not too difficult to predict assuming you have the correct algorithm! What is more challenging is trying to predict the scores. Here is my prediction for the individual game outcomes:

Team 1

Team 2

Point Difference

p1

p2

Result

MIA

TOR

2.565

0.420

0.580

TOR

CHI

PHI

6.461

0.701

0.299

CHI

NYK

ORL

0.850

0.467

0.533

ORL

MIN

GSW

8.652

0.225

0.775

GSW

MEM

LAC

2.008

0.432

0.568

LAC

UTA

POR

4.115

0.342

0.658

POR

Note: p1 and p2 denote probabilities of each team winning.

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By Dr. Ikjyot Singh Kohli

Sikh, Theoretical and Mathematical Physicist, main research in the structure and dynamics of Einstein's field equations.

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