Studies have previously examined the relationship between recruit performance and quality. While most soccer teams have a similar style, there is a unique way to play the game. We present a method to quantify motif characteristics in soccer teams by using their pass networks. This paper examines the impact of men's and women's basketball teams on alumni giving. It considers not only sports success, but also other characteristics of students and institutions that could affect total giving. Unfortunately, high-profile scandals, including those involving coaches, players and other respected higher education institutions, have damaged the image and reputation of college football and men's soccer programs. Investment in sports is a risky way to increase alumni giving, even for winning teams.

These results show that playoff considerations are important when investigating uncertainty of outcome hypotheses as well as the contribution of competitive balance to the success of sport leagues. To determine the effect of debt and current value on the efficiency scores obtained, Simar & Wilson's (J Econometrics. 136: 31–64, 2007) method is used. This paper analyses how European football clubs' current values and debt levels affect their performance. However, empirical evidence shows that clubs' debt levels don't affect their efficiency levels. This dissertation empirically investigates the issue of fan response (as measured by league-wide regular season attendance figures) to varying levels of inter-seasonal competitive balance as measured by the churn of playoff qualifying/advancing teams and as affected by league playoff structures that dictate the number of teams making the playoffs. Methodology. The data from different sources is used to analyze the factors that impact alumni giving levels at institutional level, from 1973 to 1991. Separate data sets are constructed for private universities, public universities, and liberal arts colleges.

A team's ability to maintain a competitive balance is essential for league success. This is due to professional sports' unique interdependent economic nature, which means that each team must have financial rivals (Rottenberg 1996). This notion is supported by the uncertainty hypothesis. It states that a fan's interest is dependent upon three levels of uncertainty about the outcome. These are individual game uncertainty (who is going to win the game), season uncertainty (who is going to win the championship), or consecutive season uncertainty. Although empirical evidence is expanding, the majority of literature on uncertainty of outcomes hypothesis focuses on attendance responses and within-game or intra-season measures of competitive imbalance. The thesis concluded that while all defensive statistics are important, only specific defensive statistics can determine the success of a NCAA Division III football team. There are many entities that provide power ratings for NCAA Division I A and I-AA football team.

There has never been a study that looked at how the playoffs teams impact fan interest. A decrease of 16 teams in the National Hockey League playoffs is expected to result in an increase of over 700 fans per game, which is approximately 4% of the current average. In NCAA Division III, the maximum number of wins a team can have in a season was and is still fifteen. One team, Wisconsin Whitewater was the Division III National Champion in 2014, and they had fifteen wins. They were undefeated. If you are not familiar with how college football determines the four teams that are picked to contend for the national championship, I refer you to the Selection Committee Protocol which is a guide on how the committee chooses the four playoff teams at the end of the regular season and after the league championship games. The Nets will be at home, and Home teams often win Game 7. The Bucks are more healthy.