Our Shining Moment: Hierarchical Clustering to Determine NCAA Tournament Seeding
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Offensive and Defensive Plus–Minus Player Ratings for Soccer
applied sciences Article Offensive and Defensive Plus–Minus Player Ratings for Soccer Lars Magnus Hvattum Faculty of Logistics, Molde University College, 6410 Molde, Norway; [email protected] Received: 15 September 2020; Accepted: 16 October 2020; Published: 20 October 2020 Abstract: Rating systems play an important part in professional sports, for example, as a source of entertainment for fans, by influencing decisions regarding tournament seedings, by acting as qualification criteria, or as decision support for bookmakers and gamblers. Creating good ratings at a team level is challenging, but even more so is the task of creating ratings for individual players of a team. This paper considers a plus–minus rating for individual players in soccer, where a mathematical model is used to distribute credit for the performance of a team as a whole onto the individual players appearing for the team. The main aim of the work is to examine whether the individual ratings obtained can be split into offensive and defensive contributions, thereby addressing the lack of defensive metrics for soccer players. As a result, insights are gained into how elements such as the effect of player age, the effect of player dismissals, and the home field advantage can be broken down into offensive and defensive consequences. Keywords: association football; linear regression; regularization; ranking 1. Introduction Soccer has become a large global business, and significant amounts of capital are at stake when the competitions at the highest level are played. While soccer is a team sport, the attention of media and fans is often directed towards individual players. An understanding of the game therefore also involves an ability to dissect the contributions of individual players to the team as a whole. -
Difference-Based Analysis of the Impact of Observed Game Parameters on the Final Score at the FIBA Eurobasket Women 2019
Original Article Difference-based analysis of the impact of observed game parameters on the final score at the FIBA Eurobasket Women 2019 SLOBODAN SIMOVIĆ1 , JASMIN KOMIĆ2, BOJAN GUZINA1, ZORAN PAJIĆ3, TAMARA KARALIĆ1, GORAN PAŠIĆ1 1Faculty of Physical Education and Sport, University of Banja Luka, Bosnia and Herzegovina 2Faculty of Economy, University of Banja Luka, Bosnia and Herzegovina 3Faculty of Physical Education and Sport, University of Belgrade, Serbia ABSTRACT Evaluation in women's basketball is keeping up with developments in evaluation in men’s basketball, and although the number of studies in women's basketball has seen a positive trend in the past decade, it is still at a low level. This paper observed 38 games and sixteen variables of standard efficiency during the FIBA EuroBasket Women 2019. Two regression models were obtained, a set of relative percentage and relative rating variables, which are used in the NBA league, where the dependent variable was the number of points scored. The obtained results show that in the first model, the difference between winning and losing teams was made by three variables: true shooting percentage, turnover percentage of inefficiency and efficiency percentage of defensive rebounds, which explain 97.3%, while for the second model, the distinguishing variables was offensive efficiency, explaining for 96.1% of the observed phenomenon. There is a continuity of the obtained results with the previous championship, played in 2017. Of all the technical elements of basketball, it is still the shots made, assists and defensive rebounds that have the most significant impact on the final score in European women’s basketball. -
International Journal of Computer Science in Sport a Comprehensive
International Journal of Computer Science in Sport Volume 18, Issue 1, 2019 Journal homepage: http://iacss.org/index.php?id=30 DOI: 10.2478/ijcss-2019-0001 A comprehensive review of plus-minus ratings for evaluating individual players in team sports Lars Magnus Hvattum Faculty of Logistics, Molde University College, Molde, Norway Abstract The increasing availability of data from sports events has led to many new directions of research, and sports analytics can play a role in making better decisions both within a club and at the level of an individual player. The ability to objectively evaluate individual players in team sports is one aspect that may enable better decision making, but such evaluations are not straightforward to obtain. One class of ratings for individual players in team sports, known as plus-minus ratings, attempt to distribute credit for the performance of a team onto the players of that team. Such ratings have a long history, going back at least to the 1950s, but in recent years research on advanced versions of plus-minus ratings has increased noticeably. This paper presents a comprehensive review of contributions to plus- minus ratings in later years, pointing out some key developments and showing the richness of the mathematical models developed. One conclusion is that the literature on plus-minus ratings is quite fragmented, but that awareness of past contributions to the field should allow researchers to focus on some of the many open research questions related to the evaluation of individual players in team sports. KEYWORDS: RATING SYSTEM, RANKING, REGRESSION, REGULARIZATION IJCSS – Volume 18/2019/Issue 1 www.iacss.org Introduction Rating systems, both official and unofficial ones, exist for many different sports. -
Measuring Production and Predicting Outcomes in the National Basketball Association
Measuring Production and Predicting Outcomes in the National Basketball Association Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Michael Steven Milano, M.S. Graduate Program in Education The Ohio State University 2011 Dissertation Committee: Packianathan Chelladurai, Advisor Brian Turner Sarah Fields Stephen Cosslett Copyright by Michael Steven Milano 2011 Abstract Building on the research of Loeffelholz, Bednar and Bauer (2009), the current study analyzed the relationship between previously compiled team performance measures and the outcome of an “un-played” game. While past studies have relied solely on statistics traditionally found in a box score, this study included scheduling fatigue and team depth. Multiple models were constructed in which the performance statistics of the competing teams were operationalized in different ways. Absolute models consisted of performance measures as unmodified traditional box score statistics. Relative models defined performance measures as a series of ratios, which compared a team‟s statistics to its opponents‟ statistics. Possession models included possessions as an indicator of pace, and offensive rating and defensive rating as composite measures of efficiency. Play models were composed of offensive plays and defensive plays as measures of pace, and offensive points-per-play and defensive points-per-play as indicators of efficiency. Under each of the above general models, additional models were created to include streak variables, which averaged performance measures only over the previous five games, as well as logarithmic variables. Game outcomes were operationalized and analyzed in two distinct manners - score differential and game winner. -
Successful Shot Locations and Shot Types Used in NCAA Men's Division I Basketball"
Northern Michigan University NMU Commons All NMU Master's Theses Student Works 8-2019 SUCCESSFUL SHOT LOCATIONS AND SHOT TYPES USED IN NCAA MEN’S DIVISION I BASKETBALL Olivia D. Perrin Northern Michigan University, [email protected] Follow this and additional works at: https://commons.nmu.edu/theses Part of the Programming Languages and Compilers Commons, Sports Sciences Commons, and the Statistical Models Commons Recommended Citation Perrin, Olivia D., "SUCCESSFUL SHOT LOCATIONS AND SHOT TYPES USED IN NCAA MEN’S DIVISION I BASKETBALL" (2019). All NMU Master's Theses. 594. https://commons.nmu.edu/theses/594 This Open Access is brought to you for free and open access by the Student Works at NMU Commons. It has been accepted for inclusion in All NMU Master's Theses by an authorized administrator of NMU Commons. For more information, please contact [email protected],[email protected]. SUCCESSFUL SHOT LOCATIONS AND SHOT TYPES USED IN NCAA MEN’S DIVISION I BASKETBALL By Olivia D. Perrin THESIS Submitted to Northern Michigan University In partial fulfillment of the requirements For the degree of MASTER OF SCIENCE Office of Graduate Education and Research August 2019 SIGNATURE APPROVAL FORM SUCCESSFUL SHOT LOCATIONS AND SHOT TYPES USED IN NCAA MEN’S DIVISION I BASKETBALL This thesis by Olivia D. Perrin is recommended for approval by the student’s Thesis Committee and Associate Dean and Director of the School of Health & Human Performance and by the Dean of Graduate Education and Research. __________________________________________________________ Committee Chair: Randall L. Jensen Date __________________________________________________________ First Reader: Mitchell L. Stephenson Date __________________________________________________________ Second Reader: Randy R. -
Investigating the Game-Related Statistics and Tactical Profile in NCAA Division I Men’S Basketball Games
OriginalTechnical Paper and tactical demands in college basketball https://doi.org/10.5114/biolsport.2018.71602 Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games 1,2,3 1 2 2 AUTHORS: Daniele Conte , Antonio Tessitore , Aaron Gjullin , Dominik Mackinnon , Corrado Corresponding author: Lupo4, Terence Favero2 Daniele Conte Lithuanian Sports University Institute of Sport Science and 1 Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy Innovations 2 Department of Biology, University of Portland, Portland, OR, USA Sporto g. 6 44221 Kaunas 3 Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania Lithuania 4 School of Exercise & Sport Sciences, SUISM,Department of Medical Sciences, University of Torino, Turin, Italy E-mail: [email protected] ABSTRACT: The aim of this study was to analyze the game-related statistics and tactical profile in winning and losing teams in NCAA division I men’s basketball games. Twenty NCAA division I men’s basketball close (score difference: 1-9 points) games were analyzed during the 2013/14 season. For each game, the game- related statistics were collected from the official teams’ box scores. Number of ball possessions, offensive and defensive ratings and the Four Factors (effective field goal percentage; offensive rebounding percentage, recovered balls per ball possession, free throw rate) were also calculated. The tactical parameters evaluated were: ball reversal, dribble in key area, post entry, on-ball screen, off-ball screen, and hand off. Differences between winning and losing teams were calculated using a magnitude-based approach. Winning teams showed a likely higher percentage of 3-point goals made, number of defensive rebounds and steals and a very likely higher number of free throws made and free throws attempted. -
Redalyc.Complex System Theory in Team Sports. Example in 5 on 5
Revista de Psicología del Deporte ISSN: 1132-239X [email protected], [email protected] Universitat de les Illes Balears España García, Javier; Ibáñez, Sergio J.; Cañadas, María; Antúnez, Antonio Complex system theory in team sports. example in 5 on 5 basketball contest Revista de Psicología del Deporte, vol. 22, núm. 1, 2013, pp. 209-213 Universitat de les Illes Balears Palma de Mallorca, España Available in: http://www.redalyc.org/articulo.oa?id=235127552023 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative Revista de Psicología del Deporte 2013. Vol. 22, núm. 1, pp. 209-213 Universitat de les Illes Balears ISSN: 1132-239X Universitat Autònoma de Barcelona ISSNe: 1988-5636 Complex system theory in team sports. example in 5 on 5 basketball contest Javier García*, Sergio J. Ibáñez*, María Cañadas** and Antonio Antúnez* COMPLEX SYSTEM THEORY IN TEAM SPORTS. EXAMPLE IN 5 ON 5 BASKETBALL CONTEST KEYWORDS: Complex systems, Basketball, Offensive rating. ABSTRACT: The purpose of the study was to analyze basketball contest under complex systems framework. Control and order parameters were defined as time and offensive rating. The data was composed by 73 games from the ACB league during the 2007-08 season. Relative phase of confronting teams was calculated through Hilbert Transform. Results show stability, instability and transition periods, with coordination in-phase and anti-phase. Perturbations were found in the development of the game. -
Giovanni Capelli
2011 Italian Stata Users Group meeting Venice, 17-18 nov 2011 Giovanni Capelli Faculty of Sport Sciences – Department of Health and Sport Sciences, University of Cassino Sessione IV - 17 novembre 2011 ore 15.30 “Studi applicativi usando Stata” } Some of the earliest sport statistics papers in the Journal of the American Statistical Association (JASA) were about baseball and appeared in the 1950s ◦ “Sabermetrics” } Football, basketball, golf, tennis, ice hockey and track & field became to be addressed in research in sport statistics on the ‘60s,’70s and ‘80s } In 1992 the Joint Statistical Meeting (JSM) saw the creation of a new section in the ASA ◦ Section on Statistics in Sport (SIS) Dedicated to promoting high professional standards in the application of statistics to sport and fostering statistical education in sports both within and outside the ASA Albert J, Bennet J,Cochran JJ, Anthology of Statistics in Sport, ASA-SIAM, 2005 2 } Main topics ◦ Factors influencing shooting percentage (the “hot hand phenomena”) Tversky A, Gilovich T, The cold facts about the “hot hand” in Basketball, Chance, 2(1): 16-21, 1989 Larkey PD, Smith RA, Kadane JB, It’s okay to believe in the “Hot Hand”, Chance, 2(4): 22-30, 1989 Wardrop RL, Simpson’s paradox in the hot hand in Basketball, The American Statistician, 49(1): 24-28, 1995 ◦ The home advantage and intermediate game score advantage Cooper H, DeNeve KM, Mosteller F, Predicting professional sports game outcomes from intermediate game scores, Chance, 5(3-4): 18-22, 1992 ◦ Linear weights for evaluating -
The Lou Henson Award All-Decade Team
Dec. 31, 2019 LouHensonAward.com THE LOU HENSON AWARD ALL-DECADE TEAM BOSTON, MA -- CollegeInsider.com proudly announces the Lou Henson All-Decade Team, identifying the 40 outstanding players who competed for mid-major college basketball programs between 2010 and 2019. The voting panel consisted of 21 Division I head coaches, four athletic directors and six senior members of the College Insider staff. The Lou Henson Award, named for the legendary coach who led New Mexico State and Illinois to tremendous success, is given annually to the nation’s best player from a mid-major program. Ron Baker, Wichita State A cornerstone of the Shockers’ incredible run from 2013-16, Baker elevated coach Gregg Marshall’s program into the national spotlight. The sturdy 6-4 guard scored 1,636 points and snagged 520 rebounds, helping Wichita State to a 121-24 record, a Final Four appearance in 2013 and unbeaten regular season in 2014. Keith Benson, Oakland A two-time Summit League Player of the Year, the 6-11 center dominated the lane for coach Greg Kampe from 2008 to 2011, pouring in 1,903 points, corralling 1,103 rebounds and blocking 369 shots. The Golden Grizzlies made two NCAA tournament appearances during his career. Evan Bradds, Belmont The super skilled 6-7 forward made 728 2-point baskets during four years with the Bruins, connecting on 68 percent of attempts. Such impeccable accuracy earned him two Ohio Valley Conference Player of the Year awards and sparked Belmont to 91 wins, an NCAA tournament and three NIT appearances. A.J. -
Prediction of Efficient Player Combinations Among Members of the South Dakota State University Women's Basketball Squad
South Dakota State University Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange Electronic Theses and Dissertations 1976 Prediction of Efficient Player Combinations Among Members of the South Dakota State University Women's Basketball Squad Maren Elaine Michaelson Follow this and additional works at: https://openprairie.sdstate.edu/etd Recommended Citation Michaelson, Maren Elaine, "Prediction of Efficient Player Combinations Among Members of the South Dakota State University Women's Basketball Squad" (1976). Electronic Theses and Dissertations. 4966. https://openprairie.sdstate.edu/etd/4966 This Thesis - Open Access is brought to you for free and open access by Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange. For more information, please contact [email protected]. PREDICITION OF EFFICIENT PLAYER COMBINATIONS AMONG MEMBERS OF THE SOUTH DAKOTA STATE UNIVERSITY WOMEN'S BASKETBALL SQUAD This the�is is approved as a creditable and independent investigation by a candidate for the degree, Master of Science, and is acceptable for meeting the thesis requirement for this degree . Acceptance of this thesis does not imply that the con- clusions reached by the candidate are necessarily the conclusions of the major department . v I ( Thesis Advisor (/ te iJ'ead, -
2012 Regular Game Rules
Game BASIC GAME Game Setup Choose the two teams that are playing and designate one as Rules the home team. Each coach chooses five starting players, © 2011 Replay Publishing one for each of five positions: Replay Basketball is a tabletop recreation of pro basketball. PG Point Guard The game is designed to provide both playability and SG Shooting Guard accuracy, and every player in Replay Basketball is rated to SF Small Forward reflect his real-life offensive and defensive performance. PF Power Forward Replay Basketball has two versions: a Basic Game and an C Center Advanced Game . We recommend that new gamers start with the Basic Game to learn how the game flows, before moving Each player’s position is listed on his card. Note that some on to the Advanced Game. The advanced rules allow for more players will have more than one position listed. The position coaching options and strategy, are easy to learn, and can be played most will be listed first, and some players who played readily grasped after a few games. more than one position may have split results in their offensive grid, so use the result that corresponds to the position being CONTENTS played. Page Each coach puts his player cards in the appropriate spot on 1 BASIC GAME the lineup board. The visiting coach must put his players Game Setup down first. Players listed opposite from each other are Home Court Advantage Play Cards and Time Cards assumed to be guarding one another. The home coach has the final say in matchups. Write the starting players’ names in 2 Possession Results the appropriate section of the Replay Basketball Scoresheet. -
The Effect Touches, Post Touches, and Dribbles Have on Offense for Men's Division I Basketball
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2009-03-04 The Effect Touches, Post Touches, and Dribbles Have on Offense for Men's Division I Basketball Kim T. Jackson Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Exercise Science Commons BYU ScholarsArchive Citation Jackson, Kim T., "The Effect Touches, Post Touches, and Dribbles Have on Offense for Men's Division I Basketball" (2009). Theses and Dissertations. 2006. https://scholarsarchive.byu.edu/etd/2006 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. THE EFFECT TOUCHES, POST TOUCHES, AND DRIBBLES HAVE ON OFFENSE FOR MEN’S DIVISION I BASKETBALL by Kim T. Jackson A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Department of Exercise Sciences Brigham Young University April 2009 Copyright © 2009 Kim T. Jackson All Rights Reserved BRIGHAM YOUNG UNIVERSITY GRADUATE COMMITTEE APPROVAL of a thesis submitted by Kim T. Jackson This thesis has been read by each member of the following graduate committee and by majority vote has been found to be satisfactory. Date Keven A. Prusak, Chair Date Todd R. Pennington Date Gilbert W. Fellingham BRIGHAM YOUNG UNIVERSITY As chair of the candidate’s graduate committee, I have read the thesis of Kim T. Jackson in its final form and have found that (1) its format, citations, and bibliographical style are consistent and acceptable and fulfill university and department style requirements; (2) its illustrative materials including figures, tables, and charts are in place; and (3) the final manuscript is satisfactory to the graduate committee and is ready for submission to the university library.