Predictive Analytics for Fantasy Football: Predicting Player Performance Across the NFL

Authors

• Jack W. Porter, University of New Hampshire, DurhamFollow

Date Completed

Spring 2018

Abstract

The goal of this research is to develop a quantitative method of ranking and listing players in terms of performance. These rankings can then be used to evaluate players prior to and during a fantasy football draft. To produce these rankings, we develop a methodology for forecasting the performance of each individual player (on different metrics) for the upcoming season (16 games) and use these forecasts to estimate player fantasy football scores for the 2018 season.

More specifically, this work answers the following:

1. In what order should players be drafted in a 2018 fantasy football draft and why?
2. Which players can be expected to perform the best at their given position (Quarterback, Running back, Wide Receiver, Kicker, Team Defense) in 2018, and which players should we expect to perform poorly?

First Advisor

Ali Hojjat

College or School

PAUL

Department or Program

Business Administration

Degree Name

Bachelor of Science

Recommended Citation

Porter, Jack W., "Predictive Analytics for Fantasy Football: Predicting Player Performance Across the NFL" (2018). Honors Theses and Capstones. 406.
https://scholars.unh.edu/honors/406