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This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.

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treelover28/nbaMatchPredictor_PROTOTYPE

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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 NBA Finals 2019 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. Text-based UI

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

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This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.

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