• Corpus ID: 233307077

Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League

  title={Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League},
  author={Alexander John Bond and Clive B. Beggs},
We use European football performance data to select teams to form the proposed European football Super League, using only unsupervised techniques. We first used random forest regression to select important variables predicting goal difference, which we used to calculate the Euclidian distances between teams. Creating a Laplacian eigenmap, we bisected the Fielder vector to identify the five major European football leagues' natural clusters. Our results showed how an unsupervised approach could… 

Figures and Tables from this paper


Time-varying ratings for international football teams
Using data from 1944 to 2016, a model for rating international football teams is presented and results suggest that Hungary in 1952, is a strong candidate for the all-time greatest international football team.
Football Mining with R
This chapter presents a data mining process for investigating the relationship between the outcome of a football match (win, lose, or draw) and a set of variables describing the actions of each team,
Hidden dynamics of soccer leagues: The predictive ‘power’ of partial standings
All soccer leagues appear to conform to mathematical laws, which constrain the league standings as the season progresses, which means that partial standings can be used to predict end-of-season league position with reasonable accuracy.
Proactive and reactive strategies for football league timetabling
The empirical study reveals that matches that were rescheduled to another date have a profound impact on the quality of the resulting schedule, indicating that football schedules in Europe deal poorly with uncertainty.
Plus-minus player ratings for soccer
The ratings are used to examine who are the best players in European football, and how the players' ratings evolve over time are demonstrated, and light is shed on the debate regarding which is the strongest league.
Scheduling the South American Qualifiers to the 2018 FIFA World Cup by integer programming
The main feature of the proposed schedule is that every team plays once at home and once away on each double round, a departure from traditional symmetric (mirrored) schemes.
Beyond crowd judgments: Data-driven estimation of market value in association football
Association football is a popular sport, but it is also a big business. From a managerial perspective, the most important decisions that team managers make concern player transfers, so issues related
Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015
This article investigates the impact of the competitive intensity (CI) on the stadium attendance for Italian soccer in three Serie A seasons (2012-13 to 2014-15). The central element of novelty
Fitness, chance, and myths: an objective view on soccer results
We analyze the time series of soccer matches in a model-free way using data for the German soccer league (Bundesliga). We argue that the goal difference is a better measure for the overall fitness of
Expert performance and crowd wisdom: Evidence from English Premier League predictions
It is found that former professional football players have superior forecasting ability when compared to laypeople, giving partial support to the view that a crowd forecast offers the greatest precision.