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:
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.