NBA Match Predictor ©

A better implementation in Python with added features and a working API is now available on : Nba-Match-Predictor. The new version is still a project-in-progress

Version: 2

Author: Khai H Lai

Last Updated: 9/3/2019

Changelog:

• Added hashCode() and equals() to class Team.
• Added webscraping functionality using JSoup library

Language: Java This simple program uses Monte Carlo simulation to:

• predict the result of an NBA match.
• output each team's probability of winning the matchup.

Has basic UI that allows users to type in the names of the teams they wish to simulate the match-up with.

Procedure Description

The simulator uses library Jsoup to scrape data from Basketball Reference NBA 2019 Ranking and Team Rankings. It then uses Monte-Carlo simulation (with added random statistical variations applied on the procedure described on Basketball Distribution) to give the probability of each team winning the match-up.

Next update

• Make this program into a webapp that can be easily used and accessed by the public.
• Make this program into a browser extension that automatically fetch from that day's NBA schedule and output predictions.
• Goal for completion: December 20, 2019