A Stakeholder Assessment of Basketball Player Evaluation Metrics
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The Effect Alternate Player Efficiency Rating Has on NBA Franchises Regarding Winning and Individual Value to an Organization
St. John Fisher College Fisher Digital Publications Sport Management Undergraduate Sport Management Department Spring 2012 The Effect Alternate Player Efficiency Rating Has on NBA Franchises Regarding Winning and Individual Value to an Organization Anthony Van Curen St. John Fisher College Follow this and additional works at: https://fisherpub.sjfc.edu/sport_undergrad Part of the Sports Management Commons How has open access to Fisher Digital Publications benefited ou?y Recommended Citation Van Curen, Anthony, "The Effect Alternate Player Efficiency Rating Has on NBAr F anchises Regarding Winning and Individual Value to an Organization" (2012). Sport Management Undergraduate. Paper 35. Please note that the Recommended Citation provides general citation information and may not be appropriate for your discipline. To receive help in creating a citation based on your discipline, please visit http://libguides.sjfc.edu/citations. This document is posted at https://fisherpub.sjfc.edu/sport_undergrad/35 and is brought to you for free and open access by Fisher Digital Publications at St. John Fisher College. For more information, please contact [email protected]. The Effect Alternate Player Efficiency Rating Has on NBAr F anchises Regarding Winning and Individual Value to an Organization Abstract For NBA organizations, it can be argued that success is measured in terms of wins and championships. There are major emphases placed on the demand for “superstar” players and the ability to score. Both of which are assumed to be a player’s value to their respective organization. However, this study will attempt to show that scoring alone cannot measure success. The research uses statistics from the 2008-2011 seasons that can be used to measure success through aspects such as efficiency, productivity, value and wins a player contributes to their organization. -
Player Benchmarking and Outcomes: a Behavioral Science Approach
Player Benchmarking and Outcomes: A Behavioral Science Approach Ambra Mazzelli (Asia School of Business & MIT) Robert Nason (Concordia University) Track: Basketball Paper ID: 1548699 1. Introduction Benchmarking is important to monitor and provide feedback to players on their performance. (i.e. are they under or overperforming). Behavioral science research, especially that grounded in social psychology, indicates that performance feedback has a strong impact on human behavior including: individual motivation (Deci, 1972; DeNisi, Randolph, & Blencoe, 1982; Pavett, 1983), risk-taking (Kacperczyk et al., 2015; Krueger Jr & Dickson, 1994; March & Shapira, 1992), and performance (Sehunk, 1984; Smither, London, & Reilly, 2005). As a result, performance feedback that is provided to players has the potential to induce changes in player performance. For example, Hall of Famers Shaquille O'Neal and Charles Barkley recently gave voice to negative performance feedback regarding Philadelphia 76ers Center Joel Embiid by openly criticizing him on TNT’s Inside the NBA. Early in the 2019 season, Joel Embiid’s player efficiency rating (PER) currently ranks an impressive 11th in the league (24.73), but is under his own past performance (2018/2019 PER = 26.21)1. Shaq and Charles suggested that Embiid’s recent relative underperformance was due to a lack of motivation and made a point of comparing Embiid to centers on other teams with higher PERs, such as Giannis Antetokounmpo and Anthony Davis. In the next game following Shaq and Charles comments (December 12, 2019 vs. the Boston Celtics) Embiid posted his best game of the season with a season high 38 points and a plus minus of +21 (in a game that the Sixers only won by 6 points). -
Eagle Men's Basketball 2018-19
EAGLE MEN’S BASKETBALL 2018-19 Syracuse University University of Wisconsin-Green Bay University of Washington “ORANGE” “PHOENIX” “HUSKIES” Location: Syracuse, New York Location: Green Bay, Wisconsin Location: Seattle, Washington Enrollment: 14,847 Enrollment: 6,815 Enrollment: 46,165 Affiliation: NCAA Division I Affiliation: NCAA Division I Affiliation: NCAA Division I Conference: Atlantic Coast Conference Conference: Horizon League Conference: Pac-12 Conference Arena: Carrier Dome (35,446) Arena: Resch Center (9,877) Arena: Alaska Airlines Arena (10,000) Head Coach: Jim Boeheim Head Coach: Linc Darner Head Coach: Mike Hopkins SU Record: 926-371 / 42 Seasons UWGB Record: 54-47 / Three Seasons UW Record: 21-13 / One Season Career Record: Same Career Record: 347-164 / 16 Seasons Career Record: 21-13 / One Season 2017-18: 23-14 / 8-10 (t-10th) 2017-18: 13-20 / 7-11 (7th) 2017-18: 21-13 / 10-8 (t-6th) Top Returning Scorers: Top Returning Scorers: Top Returning Scorers: Tyus Battle (G, 6-6, Jr., 19.2ppg, 2.9rpg) Sandy Cohen III (G, 6-6, R-Sr., 16.1ppg, 5.7rpg) Jaylen Nowell (G, 6-4, So., 16.0ppg, 4.0rpg) Oshae Brissett (F, 6-8, So., 14.9ppg, 8.8rpg Kameron Hankerson (G, 6-5, Jr., 10.7ppg, 3.1rpg) Noah Dickerson (F, 6-8, Sr., 15.5ppg, 8.4rpg) Frank Howard (G, 6-5, Sr., 14.4ppg, 4.7apg) PJ Pipes (G, 6-2, So., 7.2ppg, 2.3rpg) David Crisp (G, 6-0, Sr., 11.6ppg, 3.1apg) SID: Pete Moore SID: Joey Daniels SID: Ashley Walker 315.443.2608 920.465.2498 206.240.3899 [email protected] [email protected] [email protected] Website: www.cuse.com Website: www.greenbayphoenix.com -
Fonti Risultati Pallacanestro
Fonti risultati Pallacanestro Le fonti utilizzate per i risultati del Palinsesto Complementare sono indicate di seguito. Descrizione Manifestazione Url 1 Url 2 (CAMPIONATO ITALIANO A1) www.legabasket.it www.eurobasket.com (COPPA NAZIONALE) www.legabasket.it/ www.basketitaly.it/ (CAMPIONATO EUROPEO www.eurobasket2013.org/ www.fibaeurope.com/ MASCHILE) (CAMPIONATO SPAGNOLO) www.acb.com www.eurobasket.com EUROLEGA FEMMINILE (EUROLEGA) http://www.fibaeurope.com/default.asp http://www.eurobasket.com/?women=1 (FINAL FOUR) www.euroleague.net www.flashscore.com (MONDIALI) www.fiba.com www.flashscore.com (NBA) www.nba.com www.donbest.com (CAMPIONATO NCAA) www.donbest.com www.cbssports.com (OLIMPIADI) www.olympic.org/ www.bbc.co.uk (SUPERCOPPA ITALIANA) www.legaduebasket.it www.eurobasket.com (SAPORTA CUP) FINISHED IN 2002 N/A (ALL STAR GAME) Qualsiasi "Allstar" Lega www.espn.com e.g. NBA Allstars - www.nba.com EUROCUP FEMMINILE (EUROCUP) www.eurocupbasketball.com www.eurobasket.com (INDIRETTE BASKET) N/A N/A (GARA AMICHEVOLE) www.flashscore.com/basketball www.livescore.in/basketball (CAMPIONATO EUROPEO www.fibaeurope.com/ www.eurobasket2013.org/ FEMMINILE) (SUPERCOPPA ACB SPAGNA) www.acb.com www.solobasket.com (FINAL EIGHT) n/a n/a (CAMPIONATO FRANCESE PRO A) www.lnb.fr www.eurobasket.com (COPA DEL REY) www.acb.com www.solobasket.com COPPA DI FRANCIA (COPPA DI www.lnb.fr www.ffbb.com FRANCIA) (FINAL FOUR LEGADUE) www.legaduebasket.it/ www.flashscore.com (CAMPIONATO TEDESCO) www.beko-bbl.de www.eurobasket.com (ADRIATIC LEAGUE) www.abaliga.com www.eurobasket.com -
In 12Seasons Under GREGG MARSHALL 35Shockers Have
MARSHALL ERA SHOCKERS IN THE PROS In 12 seasons under GREGG MARSHALL 35 Shockers have signed pro contracts and 6 have gone on to play in the NBA. MARSHALL ERA SHOCKERS IN THE NBA ... CURRENT PROS Season Player Team(s) 2013-14 Gal Mekel Dallas Mavericks MALCOLM ARMSTEAD (2011-13) Toure’ Murry New York Knicks 2013-14 Krka Nova Mestro Slovenia Slovenian SKL/ Adriatic / 2014-15 Gal Mekel Dallas Mavericks, New Orleans Pelicans EuroChallenge Toure’ Murry Utah Jazz, Washington Wizards 2014-15 Krka Nova Mestro Slovenia Slovenian SKL/Adriatic Cleanthony Early New York Knicks 2015-16 Avtodor Saratov Russia VTB United/ EuroCup 2015-16 Cleanthony Early New York Knicks AEK Athens Greece Basket League 2016-17 Ron Baker New York Knicks Istanbul BB Turkey Turkish Super League Fred VanVleet Toronto Raptors 2016-17 Yeşilgiresun Turkey Turkish Super League 2017-18 Ron Baker New York Knicks 2017-18 Neptunas Lithuania LKL Fred VanVleet Toronto Raptors Rethymno Cretan Kings Greece A1 2018-19 Ron Baker New York Knicks 2018-19 Demir Insaat Buyukcekmece Turkey BSL Landry Shamet Philadelphia 76'ers / LA Clippers Kymis Greece A1 Fred Vanleet Toronto Raptors KB Prishtina Kosovo Kosovo SuperLeague/ EuropeCup 2019-20 Landry Shamet Los Angeles Clippers Fred VanVleet Toronto Raptors RON BAKER (2011-16) 2016-17 New York Knicks New York, NY NBA Westchester Knicks Westchester, NY G-League .... ON NBA PRESEASON ROSTERS 2017-18 New York Knicks New York, NY NBA Westchester Knicks Westchester, NY D-League Year Player Yrs. Experience Team 2018-19 New York Knicks New York, NY NBA 2013 Gal Mekel Rookie Dallas Mavericks Washington Wizards Washington D.C. -
Migratory Motivations of American Professional
This article was downloaded by: [Hokusho University Toshokan] On: 29 August 2013, At: 17:38 Publisher: Routledge Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Asia Pacific Journal of Sport and Social Science Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/rass20 Migratory motivations of American professional basketball players in Japan, Spain and Australia Naoki Chiba a a Department of Life Design , Hokusho College , Ebetsu , Japan Published online: 28 Aug 2013. To cite this article: Asia Pacific Journal of Sport and Social Science (2013): Migratory motivations of American professional basketball players in Japan, Spain and Australia, Asia Pacific Journal of Sport and Social Science, DOI: 10.1080/21640599.2013.830389 To link to this article: http://dx.doi.org/10.1080/21640599.2013.830389 PLEASE SCROLL DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. -
Forecasting Most Valuable Players of the National Basketball Association
FORECASTING MOST VALUABLE PLAYERS OF THE NATIONAL BASKETBALL ASSOCIATION by Jordan Malik McCorey A thesis submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Master of Science in Engineering Management Charlotte 2021 Approved by: _______________________________ Dr. Tao Hong _______________________________ Dr. Linquan Bai _______________________________ Dr. Pu Wang ii ©2021 Jordan Malik McCorey ALL RIGHTS RESERVED iii ABSTRACT JORDAN MALIK MCCOREY. Forecasting Most Valuable Players of the National Basketball Association. (Under the direction of DR. TAO HONG) This thesis aims at developing models that would accurately forecast the Most Valuable Player (MVP) of the National Basketball Association (NBA). R programming language was used in this study to implement different techniques, such as Artificial Neural Networks (ANN), K- Nearest Neighbors (KNN), and Linear Regression Models (LRM). NBA statistics were extracted from all of the past MVP recipients and the top five runner-up MVP candidates from the last ten seasons (2009-2019). The objective is to forecast the Point Total Ratio (PTR) for MVP during the regular season. Seven different underlying models were created and applied to the three techniques in order to produce potential outputs for the 2018-19 season. The best models were then selected and optimized to form the MVP forecasting algorithm, which was validated by predicting the MVP of the 2019-20 season. Ultimately, two underlying models were most robust under the LRM framework, which is considered the champion approach. As a result, two combination models were constructed based on the champion approach and proved to be most efficient. -
Exploring the Impacts of Salary Allocation on Team Performance
University of Pennsylvania ScholarlyCommons Summer Program for Undergraduate Research (SPUR) Wharton Undergraduate Research 8-24-2017 Exploring the Impacts of Salary Allocation on Team Performance Jimmy Gao University of Pennsylvania Follow this and additional works at: https://repository.upenn.edu/spur Part of the Applied Statistics Commons, Business Analytics Commons, Sports Management Commons, Sports Studies Commons, and the Statistical Models Commons Recommended Citation Gao, J. (2017). "Exploring the Impacts of Salary Allocation on Team Performance," Summer Program for Undergraduate Research (SPUR). Available at https://repository.upenn.edu/spur/23 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/spur/23 For more information, please contact [email protected]. Exploring the Impacts of Salary Allocation on Team Performance Abstract Study of salary has been an increasingly important area in professional sports literature. In particular, salary allocation can be a significant factor of team performance in NBA, given credit to the wisdom of team managers. This paper seeks to extend the scope of existing research on basketball by investigating on how salary allocation affected team performance and exploring other factors that lead to team success. Our findings indicate a moderate correlation between salary allocation and team performance, while average Player Efficiency Rating is a more crucial factor of team performance in comparison. Keywords Basketball, Salary Allocation, Player Efficiency Rating (PER), Superstar Effect, Golden State Warriors Disciplines Applied Statistics | Business Analytics | Sports Management | Sports Studies | Statistical Models This working paper is available at ScholarlyCommons: https://repository.upenn.edu/spur/23 Exploring the Impact of Salary Allocation on NBA Team Performance Acknowledgement I would like to thank Dr. -
Chapter 1 Sponsorship Marketing
CONTEMPORARY ISSUES IN STRATEGIC MARKETING CHAPTER 1 SPONSORSHIP MARKETING Talha HARCAR* *Professor, Pennsylvania State University at Beaver, USA e-mail: [email protected] DOI: 10.26650/B/SS05.2020.002.06 Abstract In recent years, there has been a concerted effort on the part of both manufacturing and service companies to move from broadcasting (mass communication) to one of narrow casting (targeted communication). Various companies have been using different types of media tools to engage in both institutional, as well as product/brand promotion. It is shown that more focused targeted promotions serve the needs of companies better. In this study, it is indicated that several companies have made use of corporate communication techniques more effectively and as a result gained a higher market share, increased brand loyalty, and created more favorable attitudes among its target markets towards the airline. In this way, digital interactive advertising as well as sponsorship and events gained tremendous importance. Sponsorship has become a vital marketing strategy in today’s highly cluttered and fragmented marketing environment. Sponsorship becomes an important strategy for companies to connect with their customers who are usually very involved with the event that is being sponsored. Several forms of sports and other special events are sponsored by companies, and all these companies have different advertising objectives. The importance and effectiveness of sponsorship within large sports events is discussed in detail; statistics and data from real-world sports events are analyzed based on effectiveness and passion indexes. This chapter focuses on sports sponsorship practices, examines the trends in sponsorship marketing, and reviews sponsorship marketing research. -
Real World Performance Tasks
Los Angeles Lakers Real World Performance Tasks Real World Real Life, Real Data, Real-Time - These activities put students into real life scenarios where they use real-time, real data to solve proBlems. In the NLSN series, we use data from NBA.com and update our data regularly. Note - some data has been rounded or simplified in order to adjust the math to the appropriate level. Engaging Relevant – Students today are very familiar with professional Basketball, making these activities very relevant to their everyday lives. To pique their interest further, try asking the Your Challenge question to the class first. Authentic Tasks - Through these activity sheets students learn how to project a player’s efficiency rating and are prompted to form opinions and ideas about how they would solve real life proBlems. A glossary is included to help them with the unfamiliar terms used. Student Choice - Each set of activity sheets is available in multiple versions where students will do the same activities using data for different teams (e.g. Oklahoma City Thunder, Golden State Warriors, and Chicago Bulls). You or your students can pick the team that most interests them. Modular Principal Activity - The activity sheets always start with repeated practice of a core skill matched to a common core standard, as set out in the Teacher Guide. This principal activity (or Level 1 as it is labeled to students) can Be used in isolation. This should generally take around 10-15 minutes. Step Up Activity - For the Level 2 questions, students are required to integrate a different skill or set of skills with increasing complexity. -
Head Coach Eric Gardow CV
ERIC GARDOW PROFESSIONAL BASKETBALL COACH WEBSITE www.ericgardow.com || Skype: eric.gardow || EMAIL [email protected] TWITTER @COACHERICGARDOW || ELK MOUND, WISCONSIN, USA 54739 || +1 715.797.4072 USA CELL TEAM BUILDING °°° PLAYER DEVELOPMENT °°° MENTAL TOUGHNESS °°° WINNING ATTITUDE HIGHLIGHTS OF Q UALIFICATIONS I am an internationally accomplished, Basketball Coach with over 11 years of coaching success at multiple levels, including FIBA Asia. A solid, hands-on leader, mentor, educator with inclusive leadership style that instills a positive attitude and disciplined work ethic through the heart, and mind. My seasoned knowledge of fundamental basketball skills combined with creative tactics and superior game management ability breeds success. I believe sustained collaboration is a program signature with players, coaches, management, front office, fans and boosters. You will find me committed to a positive and winning environment across all cultural lines and efficient in the following areas: ♦ FIBA Rules ♦ Budgeting & Forecasting ♦ Player Development ♦ Community Service ♦ Camps & Clinics ♦ Public Speaking ♦ Video Coordinating ♦ Strength & Conditioning ♦ Scouting ♦ ♦ ♦ Relationship Cultivation Staffing & Scheduling Travel Planning P ROFESSIONAL E XPERIENCE CHIBA JETS, Chiba, Japan 2011 – 2012 H EAD C O A C H – [2 011] ° Coach expansion franchise through its inaugural season in the 19-team Basketball Japan BJ League. ° Oversee all team operations for 52-game season including travel, logistics, and staff training. Accomplishments √ Led Chiba Jets to the BJ League’s first appearance and first win in the Emperor’s Cup, the all-Japan championship basketball tournament. √ Nominated to the BJ League Eastern Conference All-Star Team Coaching Staff. QATAR NATIONAL OLYMPIC COMMITTEE / QATAR BASKETBALL FEDERATION, Doha, Qatar 2007 – 2011 H EAD C O A C H – Q ATAR S PORTS C LUB [ 2008 – 2011] ° Managed, with exceptional results, a cross-cultural team representing 10 countries and speaking 5 languages. -
USCLAP Competition Submission
12 December 2019 What do NBA fans look for in their favorite small forwards? Abstract The purpose of our project is to analyze data concerning small forwards in the NBA to determine what fans value most when deciding what players they believe are the best. We concluded that fans weigh positive statistics more than they weight negative statistics such as losses. Currently, the metric that is known for predicting public opinion is known as the Player Efficiency Rating (PER). We wanted to use our analysis to create our own metric for predicting whether or not a player would be rated into the top ten and compare our metrics predictive results to the PER’s. Our metric outperformed the PER when comparing how many players each metric predicted would be in the top ten in a number of different small forward rankings, not only just the ranker.com from which we based our metric. Introduction In preparation for conducting our data analysis, we gathered information from ranker.com which provided us with a ranked list of the top 50 small forwards in the NBA generated by a public opinion poll. We used this ranked list as a baseline for our data analysis. We then referred to data from nba.com regarding twelve different statistics on these fifty players. Our goal was to compare the data from the NBA to the public opinion poll to get a better understanding as to what specific statistics fans value most when deciding who they believe is the best player. Methods For our data analysis, we utilized small forward data from the NBA from the 2013/2014 season until the 2018/2019 season.