000107460 001__ 107460
000107460 005__ 20221020131654.0
000107460 0247_ $$2doi$$a10.1561/103.00000029
000107460 0248_ $$2sideral$$a124913
000107460 037__ $$aART-2021-124913
000107460 041__ $$aeng
000107460 100__ $$0(orcid)0000-0002-8496-5656$$aEspitia-Escuer, Manuel$$uUniversidad de Zaragoza
000107460 245__ $$aAssessment of the efficiency of spanish football teams through profiling
000107460 260__ $$c2021
000107460 5060_ $$aAccess copy available to the general public$$fUnrestricted
000107460 5203_ $$aThe aim of this paper is to assess the efficiency of Spanish football teams that participated in the Spanish First Division between 2011 and 2016. We started by specifying the production function of football teams using the production process as a basis. Considering all the moves that can be made during a match, ordering them in the logical sequence that usually links them together and considering ball possession and non-possession as different phases lead to disaggregating the match into eight subdivisions whose efficiency is calculated using the data envelopment analysis (DEA) variant known as profiling. The representative input and output variables considered in these eight subdivisions are moves made during the matches. However, the actions football teams perform, irrespective of their type, are not the result of a standardised procedure. This has two consequences on the number of moves in the field of play: firstly, a minimal variation in playing conditions (both the team's and its opponent's) can alter the number; and, secondly, it is very difficult to control and arrive at a figure possibly established in advance. Since these circumstances can be interpreted as data imprecision, one of the stochastic DEA proposals has also been used in this paper as a calculation tool to verify the robustness of the results.

The results show the subdivisions in which the use of moves can be improved to increase the number of actions in the next stage. This knowledge could provide guidance for technical personnel for their training sessions.
000107460 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/S52-17R-COMPETE$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2016-77843-P
000107460 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000107460 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000107460 700__ $$0(orcid)0000-0002-0772-0321$$aGarcía-Cebrián, Lucía Isabel$$uUniversidad de Zaragoza
000107460 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000107460 773__ $$g5, 2 (2021), 487-534$$pData envelop. anal. j.$$tData envelopment analysis journal$$x2161-1823
000107460 8564_ $$s333327$$uhttps://zaguan.unizar.es/record/107460/files/texto_completo.pdf$$yPostprint
000107460 8564_ $$s538900$$uhttps://zaguan.unizar.es/record/107460/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000107460 909CO $$ooai:zaguan.unizar.es:107460$$particulos$$pdriver
000107460 951__ $$a2022-10-20-13:06:17
000107460 980__ $$aARTICLE