Professional Golf Association (PGA) statistics for the 2002 season were analyzed to estimate the relationships between performance variables, scoring, and earnings. Two newly considered variables, Scrambling and Bounce Back percentages, showed meaningful correlation to Simple Scoring Average (rs = -.69 and -.40, respectively), and each made a significant contribution to a regression model. While the full model of performance variables explained most of the variance in Simple Scoring Average (R2 = .94), an adjusted scoring figure, accounting for the performance of the full field of players in each round, better correlated with Earnings over a PGA Tour season (r = .77).

The purpose of this paper was to investigate the financial efficiency of the athletic departments in the Power Five conferences as it relates to total athletic department expenditures compared to the overall athletic department "on-field" success over a long period of time. Thirteen years' worth of both financial and performance data was collected on all 65 athletic departments currently in the NCAA's Power Five Conferences. Using Data Envelope Analysis (DEA) this study produced DEA models that showed how efficient each athletic department was over the past 13 years when analyzing expenditure inputs to the output measurement of overall athletic success. The longitudinal nature of this study combined with the use of multiple DEA models along with cluster analysis produced unique findings on the efficiency of Power Five athletic departments in the context of overall athletic success. The results show that only two athletic departments in the Power Five Conferences were deemed efficient at all three levels of analysis, be it by conference, by strategic cluster, or by all Power Five athletic departments as a single group over a long period of time. The results also provide efficiency scores for each Power Five Conference athletic department, which allows for comparison between university athletic departments in the Power Five Conferences. This type of efficiency analysis could provide university administrators with additional useful information when evaluating their athletic department's overall performance from a financial standpoint to ensure the scarce resources provided to athletics is not going to waste.

The purpose of this study was to identify and discuss the coaches and programs that have beensuccessful on the field over the past five years, qualifying for bowl game participation, whilesimultaneously having low graduation rates for African-American players. The contractual incentives forathletic and academic achievement included in the coaches’ contracts are also presented fordiscussion purposes.

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This research sought to evaluate race strategies in Cross Country running to determine whether a fast, predicted, or slow start would yield the best results when coupled with an advancing or regressing strategy from the 1st checkpoint through to the finish. Twelve National Collegiate Athletic Association (NCAA) Championship races were analyzed from 2021 to 2022 (N=315 teams; 2,205 runners). Success was defined by each team's finish relative to their anticipated finish, as determined through pre-championship national rankings. Results indicated that starting well ahead of a predicted finishing place and advancing throughout the race can yield finishes well ahead of a team's ranking. Still, less than 5% of teams could employ that strategy. A more likely positive result came from a conservative start, coupled with consistently advancing through the field for the remainder of the race, as nearly 14% of teams could employ that strategy. Starting a race slowly did not typically lead to success, even if a team consistently advanced through the field after the 1st checkpoint. Teams that regressed throughout the race were not likely to have a successful race.