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2013 | 36 | 1 | 137-147

Article title

Game Performance Versus Competitive Performance in the World Championship of Handball 2011


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This article assesses the game performance of the teams participating in the Men’s World Championship of Handball of 2011 by using Data Envelopment Analysis (DEA) and the cross-efficiency evaluation. DEA uses Linear Programming to yield a measure of the overall performance of the game of particular teams, and allows us to identify relative strengths and weaknesses by means of benchmarking analysis. The cross-efficiency evaluation provides a peerappraisal of the teams with different patterns of game, and makes it possible to rank them. Comparisons between this ranking and the final classification in the championship provide an insight into the game performance of the teams versus their competitive performance. We highlight the fact that France, which is the world champion, is also identified as an “all-round” performer in our game performance assessment.









Physical description


1 - 03 - 2013
13 - 04 - 2013


  • Center of Research in Sport, University Miguel Hernández of Elche, Spain
  • Center of Operations Research, University Miguel Hernández of Elche, Spain


  • Alp I. Performance Evaluation of Goalkeepers of the World Cup. J Sports Sci, 2006; 19(2): 119-125
  • Anderson TR, Sharp GP. A new measure of football batters using DEA. Ann Oper Res, 1997; 73: 141-155[Crossref]
  • Barros CP, Assaf A, Sá-Earp F. Brazilian Football League Technical Efficiency: A Simar and Wilson Approach. JSE, 2010; 11(6): 641-651
  • Boscá JE, Liern V, Martínez A, Sala R. Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football. Omega, 2009; 37: 63-78[Crossref][WoS]
  • Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units. EJOR, 1978; 2: 429-444
  • Chen WC, Johnson AL. The dynamics of performance space of Major League Baseball pitchers 1871-2006. Ann Oper Res, 2010; 181(1): 287-302[WoS]
  • Cooper WW, Ramón N, Ruiz JL, Sirvent I. Avoiding large differences in weights in cross-efficiency evaluations: application to the ranking of basketball players. JCC, 2011; 4(2): 197-215
  • Cooper WW, Ruiz JL, Sirvent I. Selecting non-zero weights to evaluate effectiveness of basketball players with DEA. EJOR, 2009; 195 (2): 563-574[WoS]
  • Cooper WW, Ruiz JL, Sirvent I. Choices and uses of DEA Weights. In Handbook On Data Envelopment Analysis (William W. Cooper, Lawrence W. Seiford and Joe Zhu, Eds.) Springer, 2011: 93-126
  • Cooper WW, Seiford LM, Tone K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd ed. Springer Science & Business Publishers, New York; 2007
  • Dawson P, Dobson S, Gerrard B. Estimating coaching efficiency in professional team sports: Evidence from English association football. Scottish Journal of Political Economy, 2000; 47 (4): 399-419[Crossref]
  • Doyle JR, Green RH. Strategic choice and data envelopment analysis: Comparing computers across many dimensions. JIT, 1994; 9: 61-69
  • Einolf KW. Is Winning Everything?: A Data Envelopment Analysis of Major League Baseball and the National Football League. JSE, 2004; 5(2): 127-151
  • Espitia-Escuer M, García-Cebrián LI. Measuring the Efficiency of Spanish First-Division Soccer Teams. JSE, 2004; 5(4): 329-346
  • Fizel JL, D’Itri MP. Firing and hiring of managers: Does efficiency matter? JOM, 1999; 25: 567-585
  • Fried HO, Lambrinos J, Tyner J. Evaluating the performance of professional golfers on the PGA, LPGA an SPGA tours. EJOR, 2004; 154: 548-561
  • Fried HO, Tauer LW. The impact of age on the ability to perform under pressure: golfers on the PGA tour. JProd Anal, 2011; 35(1): 75-84
  • García-Sánchez IM. Efficiency and effectiveness of Spanish football teams: a three-stage-DEA approach. CentEur J Oper Res, 2007; 15 (1): 21-45[WoS]
  • González-Gómez F, Picazo-Tadeo AJ. Can We Be Satisfied With Our Football Team? Evidence from Spanish Professional Football. JSE, 2010; 11(4): 418-442
  • Gruic I, Dinko V, Dragan M. Performance indicators of teams at the 2003 men’s world handball championship in Portugal. Kinesiology, 2006; 38(2): 164-175
  • Haas D, Kocher MG, Sutter M. Measuring efficiency of German Football Teams by Data Envelopmen Analysis. Cent Eur J Oper Res, 2001; 12: 251-268
  • Haas DJ. Technical Efficiency in the Major League Soccer. JSE, 2003; 4(3): 203-215
  • Hraste M, Dizdar D, Trninic V. Experts Opinion about System of the Performance Evaluation Criteria Weighted per Positons in the Water Polo Game. Coll Antr, 2008; 32: 851-861[PubMed]
  • Lozano S, Villa G, Guerrero F, Cortés P. Measuring the performance of nations at the Summer Olympics using data envelopment analysis. JORS, 2002; 53: 501-511
  • Ramón N, Ruiz JL, Sirvent I. Reducing differences between profiles of weights: A “peer-restricted” crossefficiency evaluation. Omega, 2011; 39(6): 634-641[Crossref][WoS]
  • Ramón N, Ruiz JL, Sirvent I. Common sets of weights as summaries of DEA profiles of weights: with an application to the ranking of professional tennis players. Expert Systems with Applications, 2012; 39: 4882-4889
  • Ruiz JL, Pastor D, Pastor JT. Assessing professional tennis players using data envelopment analysis (DEA), JSE, 2011; 27
  • Sexton TR, Lewis HF. Two-stage DEA: An application to major league baseball. J Prod Anal, 2003; 19: 227-249[Crossref]
  • Sexton TR, Silkman RH, Hogan AJ. Data envelopment analysis: Critique and extensions, in Measuring efficiency: An assessment of data envelopment analysis, Silkman, R.H. (editor), Jossey-Bass, San Francisco, 1986; 73-105
  • Soares de Mello JC, Angulo-Meza L, Branco da Silva BP. A ranking for the Olympic Games with unitary input DEA models. IMA J Manag Math, 2009; 20: 201-211
  • Sueyoshi T, Ohnishi K, Kinase Y. A Benchmark Approach for Baseball Evaluation. EJOR, 1999; 115: 429-448
  • Swalgin K. The basketball evaluation system: a computerized factor weighted model with measures of validity. Kinesiology, 1998: 30, 31-37
  • Tenga A, Holme I, Ronglan LT, Bahr R. Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. J Sports Sci, 2010a; 28: 245-255[WoS][Crossref]
  • Tenga A, Holme I, Ronglan LT, Bahr R. Effect of playing tactics on goal scoring in Norwegian professional soccer. J Sports Sci, 2010b; 28: 237-244[WoS][Crossref]
  • Tenga A, Ronglan LT, Bahr R. Measuring the effectiveness of offensive match-play in professional soccer. Eur J Sports Sci, 2010c; 10(4): 269-277[Crossref][WoS]
  • Trninic S, Dizdar D. System of the Performance Evaluation Criteria Weighted per Positions in the Basketball Game. Coll Antr, 2000; 24: 217-234[PubMed]
  • Trninic S, Dizdar D, Dezman B. Pragmatic Validity of the Combined Model of Expert System for Assessment and Analysis of the Actual Quality Overall Structure of Basketball Players. Coll Antr, 2002; 26: 199-210[PubMed]
  • Ueda T, Amatatsu H. Determination of bounds in DEA assurance region method - its application to evaluation of baseball players and chemical companies. J Oper Res Soc Jpn, 2009; 4: 453-467
  • Volz B. Minority Status and Managerial Survival in Major League Baseball. JSE, 2009; 10(5): 522-542
  • Wu J, Zhou Z, Liang L. Measuring the Performance of Nations at Beijing Summer Olympics Using Integer- Valued DEA Model, JSE, 2010; 11(5); 549-566
  • Zhang D, Li X, Meng W, Liu W. Measuring the performance of nations at the Olympic Games using DEA models with different preferences. Cent Eur J Oper Res Soc, 2009; 60: 983-990[Crossref]

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