Mendeley Boxing Fighter Purse Data

Summary statistics
Linear regression
Multiple regression
Correlation
Data visualization
The dataset provides fight-level earnings and characteristics for 1,234 professional male boxers from 2009 to 2017, compiled from official commission records. It supports investigation of how factors like experience, titles, and broadcasting impact fighter pay, making it ideal for teaching regression and panel data methods in sports economics.
Author

Izaan Khudadad, Peter Anderson

Published

May 19, 2025

Motivation

This dataset was compiled by Peter Anderson (University of Nottingham – Ningbo China) and sourced from official records provided by the Nevada State Athletic Commission (NSAC) and the California State Athletic Commission (CSAC). It covers professional boxing matches held between 2009 and 2017, and includes detailed information on individual fighters, their opponents, fight characteristics (e.g., rounds, venue, title fights), broadcasting networks, promotional affiliations, and fighter earnings.

Data

Each row is a single male professional boxer in one fight, one fight would be two row’s and there are repeat boxers in rows. There 4670 rows, with missing data in those rows being represented by blanks. The missingness could be there because of reporting issue by the state athletic commissions, or importance of fights based on whether they were title bouts or if they were lower on the fight cards.

boxing_pay_data.xlsx
Variable Description
Boxer Name of the boxer (Last, First)
Date Date of the fight (YYYY.MM.DD)
Venue Location where the fight took place
Purse Reported purse (fighter’s earnings) in USD
lnRPurse Natural logarithm of the purse (for regression use)
weight Weight of the boxer (in pounds)
Age Age of the boxer at the time of the fight
Wins Number of professional wins prior to the fight
Losses Number of professional losses prior to the fight
KO Number of professional knockout wins prior to the fight
W-Title Indicator for whether the fight was a world title bout (1 = yes, 0 = no)
PPV Indicator for whether the fight was on Pay-Per-View (1 = yes, 0 = no)
ESPN Indicator for whether the fight was broadcast on ESPN (1 = yes, 0 = no)
HBO Indicator for whether the fight was broadcast on HBO (1 = yes, 0 = no)
FOX Indicator for whether the fight was broadcast on FOX (1 = yes, 0 = no)
TopRank Indicator for Top Rank as the promoter (1 = yes, 0 = no)
GoldenBoy Indicator for Golden Boy Promotions as the promoter (1 = yes, 0 = no)
RDS Scheduled number of rounds for the bout
Y2009 Year indicator for fights in 2009 (1 = yes, 0 = no)
Y2010 Year indicator for fights in 2010 (1 = yes, 0 = no)
Y2011 Year indicator for fights in 2011 (1 = yes, 0 = no)
Y2012 Year indicator for fights in 2012 (1 = yes, 0 = no)
Y2013 Year indicator for fights in 2013 (1 = yes, 0 = no)
Y2014 Year indicator for fights in 2014 (1 = yes, 0 = no)
Y2015 Year indicator for fights in 2015 (1 = yes, 0 = no)
Y2016 Year indicator for fights in 2016 (1 = yes, 0 = no)
Y2017 Year indicator for fights in 2017 (1 = yes, 0 = no)

Questions

  1. Is there a relationship between a boxer’s knockout (KO) record and their earnings?

  2. Do title fights lead to higher earnings compared to non-title fights?

  3. Are there differences in fighter pay based on location/Venue?

  4. What factors predict a higher purse for professional boxers?

  5. Are there consistent differences in pay based on promoters or venues?

References

Anderson, Peter (2019), “Boxing Data”, Mendeley Data, V1, doi: 10.17632/vpbsd5bryy.1

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International license.