Goal scoring in Premier League with Poisson regression
Cuong Pham, Tung Le

TL;DR
This paper applies Poisson regression to analyze how various match factors influence goal scoring in the highly competitive Premier League.
Contribution
It introduces a Poisson regression model to quantify the impact of specific match variables on goal counts in Premier League games.
Findings
Shots on target significantly increase goal likelihood.
Red cards decrease home team goal chances.
Corners have a positive but less significant effect.
Abstract
Premier League is known as one of the most competitive football league in the world, hence there are many goals are scored here every match. Which are the factors that affect to the number of goal scored in each match? We use Poisson regression to find out the relation between many factors as shots on target, corners, red cards, to the goals home team can score in their match.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSports Analytics and Performance · Sports Performance and Training · Sports Dynamics and Biomechanics
