Data Envelopment Analysis and cross-efficiency evaluation in the management of sports teams: the assessment of game performance of players in the Spanish handball league.

Data Envelopment Analysis (DEA) and cross-efficiency evaluation are shown as support tools for sports team management in the context of a study of assessment of the individual game performance of handball players of the Spanish premier league. A sample of 66 players that play as backs in their teams is evaluated from the perspective of their offensive game. DEA yields a measure of the overall performance of the game of the players, and allows to identifying relative strengths and weaknesses by means of a benchmarking analysis. The cross-efficiency evaluation has provided a peer-appraisal of the players with the different patterns of game that the 10 players rated as efficient have used in the DEA assessments, and has made it possible to derive a full ranking of players.

[1]  Diego Pastor,et al.  Assessing Professional Tennis Players Using Data Envelopment Analysis (DEA) , 2013 .

[2]  Nuria Ramón,et al.  Reducing differences between profiles of weights: A "peer-restricted" cross-efficiency evaluation , 2011 .

[3]  Herbert F. Lewis,et al.  Two-Stage DEA: An Application to Major League Baseball , 2003 .

[4]  Carlos Pestana Barros,et al.  Productivity drivers and market dynamics in the Spanish first division football league , 2011 .

[5]  C. Barros,et al.  Productivity in sports organisational training activities: A DEA study , 2003 .

[6]  John L. Fizel,et al.  Firing and Hiring of Managers: Does Efficiency Matter? , 1999 .

[7]  İhsan Alp Performance Evaluation of Goalkeepers of the World Cup , 2010 .

[8]  Toshiyuki Sueyoshi,et al.  A benchmark approach for baseball evaluation , 1999, Eur. J. Oper. Res..

[9]  Manuel Espitia-Escuer,et al.  Measuring the Efficiency of Spanish First-Division Soccer Teams , 2004 .

[10]  Karl W. Einolf Is Winning Everything? , 2004 .

[11]  Nuria Ramón,et al.  Common sets of weights as summaries of DEA profiles of weights: With an application to the ranking of professional tennis players , 2012, Expert Syst. Appl..

[12]  William W. Cooper,et al.  Avoiding Large Differences in Weights in Cross-Efficiency Evaluations: Application to the Ranking of Basketball Players , 2011 .

[13]  James Lambrinos,et al.  Evaluating the performance of professional golfers on the PGA, LPGA and SPGA tours , 2004, Eur. J. Oper. Res..

[14]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[15]  Cláudia S. Sarrico,et al.  Pitfalls and protocols in DEA , 2001, Eur. J. Oper. Res..

[16]  DETERMINATION OF BOUNDS IN DEA ASSURANCE REGION METHOD : ITS APPLICATION TO EVALUATION OF BASEBALL PLAYERS AND CHEMICAL COMPANIES , 2009 .

[17]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[18]  Cláudia S. Sarrico,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 2001, J. Oper. Res. Soc..

[19]  Liang Liang,et al.  Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model , 2010 .

[20]  John L. Fizel,et al.  Managerial Efficiency, Managerial Succession and Organizational Performance , 1997 .

[21]  Andrew L. Johnson,et al.  The dynamics of performance space of Major League Baseball pitchers 1871–2006 , 2010, Ann. Oper. Res..

[22]  W. Liu,et al.  Measuring the performance of nations at the Olympic Games using DEA models with different preferences , 2009, J. Oper. Res. Soc..

[23]  Sebastián Lozano,et al.  Measuring the performance of nations at the Summer Olympics using data envelopment analysis , 2002, J. Oper. Res. Soc..

[24]  Vladan Papić,et al.  Development management model of elite athletes in team sports games. , 2009, Collegium antropologicum.

[25]  D. Dizdar,et al.  Experts opinion about system of the performance evaluation criteria weighted per positons in the water polo game. , 2008, Collegium antropologicum.

[26]  William W. Cooper,et al.  Selecting non-zero weights to evaluate effectiveness of basketball players with DEA , 2009, Eur. J. Oper. Res..

[27]  Dieter J. Haas Technical Efficiency in the Major League Soccer , 2003 .

[28]  I. García‐Sánchez Efficiency and effectiveness of Spanish football teams: a three-stage-DEA approach , 2007 .

[29]  T. Sexton,et al.  Data Envelopment Analysis: Critique and Extensions , 1986 .

[30]  R. Bahr,et al.  Effect of playing tactics on goal scoring in Norwegian professional soccer , 2010, Journal of sports sciences.

[31]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[32]  S Trninić,et al.  System of the performance evaluation criteria weighted per positions in the basketball game. , 2000, Collegium antropologicum.

[33]  S Trninić,et al.  Set of criteria for the actual quality evaluation of the elite basketball players. , 1999, Collegium antropologicum.

[34]  Matthias Sutter,et al.  Measuring efficiency of German football teams by Data Envelopment Analysis , 2004 .

[35]  João Carlos Correia Baptista Soares de Mello,et al.  A ranking for the Olympic Games with unitary input DEA models , 2008 .

[36]  Vicente Liern,et al.  Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football , 2009 .

[37]  John L. Fizel,et al.  Estimating Managerial Efficiency: The Case of College Basketball Coaches , 1996 .

[38]  J. Zofío,et al.  Evaluating Effectiveness in Public Provision of Infrastructure and Equipment: The Case of Spanish Municipalities , 2001 .

[39]  Brian D. Volz Minority Status and Managerial Survival in Major League Baseball , 2009 .

[40]  Stephen Dobson,et al.  Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football , 2000 .

[41]  Gunter P. Sharp,et al.  A new measure of baseball batters using DEA , 1997, Ann. Oper. Res..

[42]  Loren W. Tauer,et al.  The impact of age on the ability to perform under pressure: golfers on the PGA tour , 2011 .

[43]  Andrés J. Picazo-Tadeo,et al.  Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football , 2010 .

[44]  R. Bahr,et al.  Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches , 2010, Journal of sports sciences.

[45]  C. Barros,et al.  Performance evaluation of the English Premier Football League with data envelopment analysis , 2006 .

[46]  John Doyle,et al.  Strategic choice and data envelopment analysis: comparing computers across many attributes , 1994, J. Inf. Technol..

[47]  William W. Cooper,et al.  Choices and Uses of DEA Weights , 2011 .

[48]  B Dezman,et al.  Pragmatic validity of the combined model of expert system for assessment and analysis of the actual quality overall structure of basketball players. , 2002, Collegium antropologicum.

[49]  Albert Assaf,et al.  Brazilian Football League Technical Efficiency: A Simar and Wilson Approach , 2010 .

[50]  Jesús T. Pastor,et al.  Radial DEA models without inputs or without outputs , 1999, Eur. J. Oper. Res..

[51]  T. Anderson,et al.  The Fixed Weighting Nature of A Cross-Evaluation Model , 2002 .