Sports Scores

Initializing live version
Download to Desktop

Requires a Wolfram Notebook System

Interact on desktop, mobile and cloud with the free Wolfram Player or other Wolfram Language products.

Down one point. Six minutes left. Opposing a superior team. Can your hometown heroes come back to win the championship before the clock runs out? This Demonstration answers that question along with countless others, calculating probability distributions for final scores, final score differences, and win-loss-draw odds. The model makes only one assumption: namely, that scoring occurs randomly at the specified rate. This assumption is most valid for sports like baseball or soccer and least valid for sports like American football or basketball.

Contributed by: Ted Sanders (October 2012)
Open content licensed under CC BY-NC-SA




Feedback (field required)
Email (field required) Name
Occupation Organization
Note: Your message & contact information may be shared with the author of any specific Demonstration for which you give feedback.