How the result in home football games reflect the final standing Statistics Project

How the result in home football games reflect the final standing. (Spanish La Liga) - Statistics Project Example Home advantage plays a imperative role for the team resulting in favorable results, and this advantage makes home teams to win several games as compared to the away teams especially when accounting for the diversity of teams (Zelterman, pp.124-189). Appropriate models such as the least square for individual teams are more accurate and precise. This method estimates the home ground advantages for every team together with its individual ratings. Home advantages for all teams in Spanish La Liga from 2002-2003 seasons to 2010-2011 seasons were recorded. The above dataset consist of 20,100 matches. The result indicates that the home ground advantage is not much predictable and varies from team to team across the year. For example, some teams had an adverse home advantage for some years while other performed well at home. However, the home advantage is estimated as 0.5 of the number of goals scored. The results indicated that there was no division effect. The outcomes of the underlying research also depicted that the advantage may work well on winning rather than on goal difference. The prevailing factors results in the generation of the home advantage theory have a tendency of determining the winning team over the winning margins. Clubs with special training facilities had a significant amount of home advantage, and the Madrid clubs had the home advantages. In home advantage, there exist a wide regional variation and amazingly, the research revealed that the crowd size had no direct impact on the magnitude of home advantage. The records for home advantages for top two divisions across Europe English, German, French and Italian leagues were all similar irrespective of the high attendance witnessed in division one games. Moreover, the home advantage is in the Spanish league was at 60.7% arrived at with attendance of 31009 on average. Conversely, the