10 Day Sample Tour to Spain Day 1

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10 DAY SAMPLE TOUR TO SPAIN DAY 1 • Arrive in Madrid • Check in to hotel • Training/Recovery session at local field with the teams coaches • Stadium Tour of the Santiago Bernabeu home to Real Madrid • FIFA 2018 Play Station Competitions DAY 2 • 1st Friendly match vs local Madrid club • Attend La Liga match at either Atletico or Real Madrid • FIFA 18 Play Station Competitions/Match analysis of the days match DAY 3 • Training at Atletico Madrid • Atletico Madrid Stadium Tour • Sightseeing tour of Madrid DAY 4 • Training at Las Rosas the official training facility of the Spanish National team • Museum tour of the Spanish Federation. Home of the 2010 World Cup • Match # 2 against local Madrid club DAY 5 • Depart for Barcelona via high speed train • Check in hotel • Sightseeing tour of Barcelona DAY 6 • Training at FC Barcelona • Friendly Match vs Local team • FIFA 18 Play Station Competition DAY 7 • Depart for Valencia • Training at Valencia C.D. • Sightseeing and visit the beach • Return to Barcelona This Photo by Unknown Author is licensed under CC BY-SA This Photo by Unknown Author is licensed under CC BY-NC-ND This Photo by Unknown Author is licensed under CC BY-SA This Photo by Unknown Author is licensed under CC BY-SA DAY 8 • Friendly Match vs Local Barcelona Club • Camp Nou Tour home to Barcelona FC • Sightseeing in Barcelona This Photo by Unknown Author is licensed under CC BY-NC-SA This Photo by Unknown Author is licensed under CC BY-SA DAY 9 • Attend La Liga Match of either Barcelona FC or Espanyol CD • Visit the beach and shopping in Barcelona This Photo by Unknown Author is licensed under CC BY-SA This Photo by Unknown Author is licensed under CC BY-SA Depart for the U.S.A. DAY 10 This Photo by Unknown Author is licensed under CC BY-SA This Photo by Unknown Author is licensed under CC BY-NC-SA This Photo by Unknown Author is licensed under CC BY-SA This Photo by Unknown Author is licensed under CC BY-SA All Inclusive Package to Include • 9 Nights Hotel 4 Star Accommodations • 3 Meals a day Breakfast, Lunch, and Dinner • All transfers while in Spain • Train from Madrid to Barcelona • 4 Professional Training sessions • (FB Barcelona, Atletico Madrid, Valencia, Las Rosas) • 2 La Liga Matches (1 in Madrid and 1 in Barcelona) • 3 Stadium Tours (Camp Nou, Wanda Metropalitano, and the Satiago Bernabeu) • 4 Friendly Matches • Sightseeing tours in Madrid and Barcelona • 1 T-Shirt • 1 Adidas Soccer Ball .

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E STUDIOS DE E CONOMÍA A PLICADA V OL. 30 - 2 2012 P ÁGS. 565 – 578 Analysis of the Efficiency of Spanish Soccer League Players (2009/10) Using the Metafrontier Approach RAFAEL CABALLERO FERNÁNDEZ Departamento Economía Aplicada (Matemáticas), UNIVERSIDAD DE MÁLAGA, ESPAÑA. E-mail: [email protected] TRINIDAD GÓMEZ NÚÑEZ Departamento Economía Aplicada (Matemáticas), UNIVERSIDAD DE MÁLAGA, ESPAÑA. E-mail: [email protected] RAMÓN SALA GARRIDO Departamento Economía Aplicada (Matemáticas), UNIVERSIDAD DE VALENCIA, ESPAÑA. E-mail: [email protected] ABSTRACT This paper analyses the efficiency of players in the Spanish Soccer League for the 2009/2010 season using a metafrontier version of data envelopment analysis (DEA) methodology. It is possible to apply a metafrontier approach if separate frontiers can be identified for different groups in the data set. In our case, we divide the sample of players into three groups, according to the playing position within a team, because different positions define different behaviours (technologies). These behaviours are compared against each other and globally. Keywords: DEA, Metafrontier, Efficiency, Soccer Players. Análisis de la eficiencia de los jugadores de fútbol de la Liga Española (2009/10) mediante el enfoque Metafrontier RESUMEN En este trabajo se analiza la eficiencia de los jugadores en la Liga Española de Fútbol para la temporada 2009/2010 con la metodología del Análisis Envolvente de Datos (DEA) pero en la una versión metafrontera. Es posible aplicar el enfoque de la metafrontera si para diferentes grupos del conjunto de datos es posible construir fronteras particulares para cada uno de ellos. En nuestro caso, dividimos la muestra de jugadores en tres grupos, de acuerdo con la posición de juego dentro de un equipo, debido a las diferentes posiciones definir comportamientos diferentes tecnologías).
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