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Hawksworth, J., Zimmern, W., & Broadfield, D. (2014). The PwC World Cup Index: What Can the Dismal Science Tell Us about the Beautiful Game?
https://www.pwc.com/im/en/assets/document/pwc_world_cup_index_-_june_2014.pdf

has been cited by the following article:

• TITLE: Overachievers and Underachievers in the FIFA World Cup, 1994-2022

  AUTHORS: Paul M. Sommers

  KEYWORDS: FIFA World Cup, Soccer, World Cup Predicted Points

  JOURNAL NAME: Open Journal of Social Sciences, Vol.14 No.8, August 27, 2026

  ABSTRACT: A regression model is used to predict points (countries are awarded 3 points for a win, 1 point for a draw, and 0 points for a loss) in the men’s FIFA World Cup between 1994 and 2022. Key predictor variables include population size of the 248 country-tournament observations and their GDP per capita in their year of participation. Both variables are statistically significant. Predicted point totals are then compared to actual points to compile a list of overachievers and underachievers over the last eight World Cup tournaments.