The Impact of NBA New Rules on Games

Authors: Mahmoud M. Nourayi1, Meghna Singhvi2

1Department of Accounting, Loyola Marymount University, CA, USA
2 Department of Accounting, Finance, Economics, and Law, California State University, Dominguez Hills, CA, USA

Corresponding Author:
Meghna Singhvi, PhD., CPA(inactive),MBA, MACC
1000 E. Victoria Street
Carson, CA 90747
msinghvi@csudh.edu
310-243-3696

Dr. Mahmoud Nourayi, PhD, CPA, CMA, CFM is the Paul Grosch Professor of Accounting at Loyola Marymount University. He earned this distinct honor by dedicating more than 25 years to LMU teaching various accounting courses at the undergraduate and graduate level. He was named Outstanding Accounting Educator by the California Society of Certified Public Accountants. He regularly presents at U.S. and international academic conferences and has served at various times as Accounting Department Chair, Associate Dean of the College of Business Administration, and as facilitator for the LMU Accounting Society.

Dr. Meghna Singhvi, PhD, is an Associate Professor of Accounting at California State University, Dominguez Hills and her research focuses on corporate governance, gender diversity in the board room and CEO Power. She is a CPA (inactive) and she earned her MBA from Ohio University in 2002 and her Masters in Accountancy from NKU in 2004. She is passionate about inspiring students and has recently established the “THRIVE” mentorship program at CSUDH along with two other faculty members to bridge the gap between industry experts and her students at CSUDH.

The Impact of NBA New Rules on Games

ABSTRACT

The purpose of this study is to examine the impact of rule changes by the National Basketball Association on pace, scoring, physicality, and shot selection in professional basketball games. Method: We use regression analysis to examine the trend of various game indicators about the speed and flow, physical plays, shooting accuracy, and shot selection over time. Results: Our findings showed an upward trend in the number of possessions, Points, and Field Goal Attempts in line with the expectation of the NBA league administrators. We also observed a downward trend in the number of Personal Foul calls, Free Throws Attempts, and Free Throws Made after the rule changes and our findings further indicated an increase in relative number of 3-point shots as well as increased shooting precision in 2-point shots. Based on our hypothetical scoring of the games and analysis, about 10.3% of the wins and 6.5% of losses were attributable to 3-point shots. Conclusion: Our analyses indicate that the 2-point shooting percentage (2P%), on average, improved more than that for 3-point shots over time, and the number of personal foul calls, free throw attempts and free throws made declined under new rules over time. Application in Sports: While 3-point shots did not seem to impact the game outcome for most games, it appears that the involvement of the more skilled and agile players has made the game faster. However, shot selection decision by the teams must be based on game conditions and managed by coaches on a game by game basis, perhaps even quarter by quarter, and player by player.

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2021-01-07T09:58:40-06:00January 15th, 2021|Sports Studies and Sports Psychology|Comments Off on The Impact of NBA New Rules on Games

Predictive Modeling of 4th Down Conversion in Power 5 Conferences: Football Data Analytics

Authors: Joshua Blinkoff1, Michael Voeller1, Scottie Graham2 and Jeffrey Wilson3

1Barrett Honors College, Arizona State University Tempe, AZ
2Arizona State University, Sun Devils Athletics, Tempe, AZ
3Department of Economics, Arizona State University, Tempe, AZ

Corresponding Author:
Jeffrey R. Wilson, BA, MS, PhD
Department of Economics CPCOM 465D
Arizona State University/Tempe AZ 85287
jeffrey.wilson@asu.edu
480-213-4460

Dr. Jeffrey Wilson is a Professor of Statistics and the Faculty Athletics Representative to the PAC-12 and NCAA. His research includes binary logistic regression models and hierarchical data with random effects.

Predictive Modeling of 4th Down Conversion in Power 5 Conferences: Football Data Analytics

ABSTRACT

Purpose

In the sport of football, coaches are faced with critical decisions at different times in the game. Often the coach makes the decision based on a gut feeling or the advice of an assistant. However, if each decision can be supplemented with data, it is possible to increase the chances of success. This paper uses data (2015-18) from the games played between the 65 teams in Division I in the Power 5 conferences of the NCAA, to present a prediction model useful for 4th down determinations.

Methods

A predictive logistic regression model is used in the determination of 4th down options. In particular, a model based on a logistic regression model with random effects, capable of predicting the likelihood of converting on 4th down decision is presented. The adequacy of the model is estimated through calibration, discrimination, and bootstrap samples.

Results

Distance-to-go, pass or run, line of scrimmage, and the week of season are significant factors in predicting a successful 4th down with team as a random effect.

Conclusion

The paper demonstrates the use of analytics to increase the decision-making in football. It increases the precision in decision making by 36% in these data.

Applications in Sport

Teams can use the model to facilitate similar decisions in other parts of the game. This can also be used in the recruiting of players.

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2020-10-06T08:27:33-05:00August 14th, 2020|Research, Sports Management, Sports Studies and Sports Psychology|Comments Off on Predictive Modeling of 4th Down Conversion in Power 5 Conferences: Football Data Analytics

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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2016-08-17T15:48:40-05:00September 15th, 2016|Sports Coaching, Sports Management|Comments Off on General Managers and the Importance of Using Analytics
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