Scoring Markets
Description
This is replication data and programs for "Scoring Markets: Theory and Application in Sports Economics" article.
Files
Steps to reproduce
This data package provides the replication materials for the article "Scoring Markets: Theory and Application in Sports Economics." The data are organized into folders as follows: TheoreticalResults includes Python scripts and corresponding outputs. a. The Programs folder contains Python code for generating all possible outcomes of bilateral matches among four teams (in both single and double round-robin formats) and among three teams (in a single round-robin format). b. The Results folder includes all possible match outcomes for the single-round (variations_6.csv) and double-round (variations_12.csv) scenarios. c. The Scoring Markets.xlsx file analyzes and summarizes all theoretically possible outcomes of bilateral matches involving four teams (single and double rounds) and three teams (single round). The Figure Data folder includes the datasets used to generate Figures 3 through 7. Figures 1 and 2 are straightforward and can be reproduced directly from the content of the article without additional data. a. The UCL DCBs folder contains the file UCL DCBs.csv, which lists the DCBs (Distance to Competitive Balance) for each group from the 1999–2000 to the 2023–2024 seasons of the UEFA Champions League (UCL). For Figure 6, it also includes Average DCBs.csv, which provides the average DCBs per UCL season along with the corresponding five-year moving averages. b. The folder also includes Theoretical DCBx.csv, which compiles all theoretically possible outcomes in group-stage matches involving four teams in a double round-robin format. Detailed results for the analyzed UCL seasons can be found at: https://www.uefa.com/uefachampionsleague/history/ The tables presented in the main text, appendix, and online appendix summarize the results derived from the various datasets—either generated computationally or compiled, in the case of the UCL.
Institutions
Categories
Funding
Ministerio de Ciencia, Innovación y Universidades
PID2020-14309GB-I00
Ministerio de Ciencia, Innovación y Universidades
PID2021-127736NB-I00
Universidad de Málaga/CBUA