General Managers and the Importance of Using Analytics

Authors: Dr. Rocco P. Porreca

Corresponding Author:
Rocco P. Porreca, Ed. D.
380 SE Mizner Blvd. Apt. 1718
Boca Raton, FL 33432
porreca.rocco@gmail.com
518-821-8070

Dr. Porreca is an adjunct professor in the College of Business and Management at Lynn University.

General Managers and the Importance of Using Analytics

ABSTRACT
Albert Einstein defined insanity as “doing the same thing over and over again and expecting different results.” Sport is changing. Athletes are becoming faster and stronger. The rate and pace of play is steadily increasing. Therefore sport, as a result, adapts and evolves. Recently, the way in which franchises draft players and build rosters is beginning to change. In order to remain competitive, sport franchises are beginning to shy away from the conventional norm and are thinking outside of the box. Specifically, franchises are exploring analytics and how this type of statistical analysis can be beneficial.

Keywords: analytics, moneyball, moneypuck, statistics

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On the Relationship Between Attacking Third Passes and Success in the English Premier League

Authors: Bret R. Myers; Brian Q. Coughlin

Corresponding Author:
Bret R. Myers
204 Eagle Glen Drive
Coatesville, PA 19320
bret.myers@villanova.edu
804-357-5876

Bret Myers is an assistant professor of management and operations at Villanova University. He also works as an analytics consultant for Toronto FC of Major League Soccer. Bret’s research and consulting is at the intersection of core sporting knowledge and the leveraging of data analysis to improve decision making for competitive advantage.

Brian Coughlin is a senior data analyst at Decision Resources Group in Exton, PA. He also serves as director of lacrosse operations at Villanova University. His passion lies in the field of analytics with a specific interest in mining data, analyzing statistics, and offering strategic recommendations that help organizations make better decisions.

On the relationship between attacking third passes and success in the English Premier League

ABSTRACT
This research examined how changes in attacking third pass behavior can impact a team’s ability to maintain leads and secure wins based on data collected from the 2011-2012 English Premier League Season. A team’s attacking third behavior is measured by the number of attacking third passes completed per minute. The results of this paper suggest that while teams tend to complete less passes in the final third when they are ahead in a match vs. being behind, there is evidence to suggest that a drop in attacking third pass behavior when ahead in a match will reduce the likelihood of maintaining a lead and securing three points.

Keywords: Soccer Strategy, Coaching Strategy, Sports Analytics, Soccer Analytics, Protecting a Lead, Staying Aggressive throughout a Match

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Goal-based Metrics Better Than Shot-based Metrics at Predicting Hockey Success

Author: Rob Found
9432-152 Street
Edmonton, AB, Canada
T5R 1N2
(780) 479-7919

Corresponding author: found@ualberta.ca

ABSTRACT
The growing business of professional sports has lead to an increasing demand for effective metrics quantifying factors leading to team success, and evaluating individual player contributions to that success. In the sport of hockey the advancement of analytics has lead to a decline in the use of goal-based metrics, and an increased reliance on shot-based metrics. I tested assumptions behind this trend by using statistical modeling of 10 years of NHL data to directly compare the effectiveness of goal versus shot-based metrics at predicting team success, and comparative hypothesis testing to determine how well goals and shots quantify player contributions to team success. Goal-based models consistently outperformed their shot-based analogs. Models of team goal differential successfully predicted winning % during the 2015-16 season, while shot differential did not. Goal-based metrics (i.e. relative plus-minus/minute of ice time) were also better than shot-based metrics (i.e. relative Corsi/minute of ice time) for evaluating individual player contributions to team winning %. These results show that team and individual performance is not correlated with all shots, but only those shots effective enough to result in goals. These results will lead to more effective evaluation of individual players, and better understanding and prediction of those factors leading to team success.

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Tools and Benefits of Periodization: Developing an Annual Training Plan and Promoting Performance Improvements in Athletes

Authors: Michael B. Phillips, Jake A. Lockert, and LaNise D. Rosemond

Corresponding Author:
Jake Lockert, MA
810 Quadrangle
TTU Box 5043
Cookeville, TN 38505
jalockert42@students.tntech.edu
423-779-7127
Jake Lockert works at Tennessee Technological University in Cookeville, TN as research assistant in the department of Exercise Science, Physical Education, and Wellness

Tools and Benefits of Periodization: Developing an Annual Training Plan and Promoting Performance Improvements in Athletes.

ABSTRACT
All teams and athletes have goals in mind with their prospective sports. They work hard and train in the off-season to achieve their goals. Most coaches and athletes change the intensity, volume, and exercises in their workouts to improve performance. In the past, the attempts at this have been from intuitive knowledge. But over the past 20 years, many coaches have learned and utilized the periodization theory. Although periodization has become more popular, coaches and athletes still appear to struggle with completely grasping the idea of periodization.

Many coaches periodize training without a full understanding of the many facets of this invaluable training method (10). A long term plan can periodize training in the weight room that will allow athletes to reach their full athletic potential, and, just as important become as strong as possible in the off-season right leading up to competition. The goal of this article is to give coaches and athletes a better understanding of a very relevant way to program for improvements in strength and performance. It will also provide specific ways of applying facets of periodization in setting goals for their athletes (11).

Keywords: periodization, strength training, performance training, preseason planning, improve athletes, coaching

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Coaching environments and student-athletes: Perceptions of support, climate and autonomy

Authors: Jeff Noble, Mark Vermillion*, and Kewa Foster

*Corresponding Author:
Mark Vermillion, PhD
Wichita State University
Department of Sport Management
Wichita, KS 67260-0127
Mark.vermillion@wichita.edu
316-978-5444

ABSTRACT
Understanding how athletes interact with coaches is an important topic for not only increasing performance, but also for managing developmental dynamics so often associated with coaching. As a result, the purpose of the research is to examine student-athletes’ perceptions of coaching environments as related to autonomy-supportive motivational climates. Division I (formerly known as Division I AAA) student-athletes were surveyed (n=143) as part of a larger data collection process by the athletic department. Self-determination theory is applied to examine motivation, autonomy, and support, while psychosocial student development theory is used to influence variable selection relating to the student-athlete population. Statistical results indicate an overall positive perception of coaching environments by student-athletes and no differences based upon gender. Regression analyses indicate only 28% of the variance is explained by current variables/questions on athletic department survey instrument with variables of gender, type of sport played, and student classification having little to no statistically significant impact. In accordance with previous research, coaches have the ability to create a positive atmosphere and in this study student-athletes had an overall positive view of their coaches’ ability to develop autonomy-supportive team climates. However, many personal-level factors could account for the large percent of variance not explained by statistical analyses in the current study.

Keywords: student-athletes, motivation, coaching climate, self-determination

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