IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i5p2676-d512163.html
   My bibliography  Save this article

Effect of Ball Screen and One-on-One on the Level of Opposition and Effectiveness of Shots in the ACB

Author

Listed:
  • Jorge Serna

    (Motor Action Research Group (GIAM), INDEST, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain)

  • Verónica Muñoz-Arroyave

    (Motor Action Research Group (GIAM), INDEST, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain)

  • Jaume March-Llanes

    (Gens i Ambient en la Comprensió de la Diversitat de la Conducta Human i la Etiopatogénia del Transtorns Mentals (NeuroPGA), Faculty of Psychology, University of Lleida (UdL), 25003 Lleida, Spain)

  • M. Teresa Anguera

    (Faculty of Psychology, Institute of Neurosciences, University of Barcelona (UB), 08007 Barcelona, Spain)

  • Queralt Prat

    (Motor Action Research Group (GIAM), INDEST, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain)

  • Aaron Rillo-Albert

    (Motor Action Research Group (GIAM), INDEST, National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), 08007 Barcelona, Spain)

  • David Falcón

    (Motor Action Research Group (GIAM), INDEST, Grupo de Investigación en Entrenamiento, Actividad Física y Rendimiento Deportivo (ENFYRED), Facultad de Ciencias de la Salud y el Deporte, Universidad de Zaragoza, 50009 Zaragoza, Spain)

  • Pere Lavega-Burgués

    (Motor Action Research Group (GIAM), INDEST, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain)

Abstract

In light of the importance of shots on the final result in basketball matches, this research aims to reveal the predictive ability of variables associated with different game actions (ball screen, one-on-one near the basket and one-on-one far away from the basket), shot zone (near to or far from the basket) and players’ position (outside or inside) of the success of shots and of the type of shot, defended or not defended, in three seasons (2014 to 2016) of the Copa del Rey in the ACB (Asociación de Clubes de Baloncesto) League in Spain. Observational methodology was used, and an ad hoc instrument was created using Lince software. The study was conducted on a total of 7695 game actions, of which an analysis of 877 shots was made using CHAID (Chi-squared Automatic Interaction Detection) classification trees. The results obtained in this research have led us to the following conclusions: (a) the most important variable in the success of shots is to find “open shots”, regardless of the game action, (b) one-on-one actions outside and inside the zone have a clear connection to the finishes of the plays and end up in defended shots, (c) shots by ball screen lead to more open shots than in one-on-one and (d) play with passes may facilitate to find “open shots”. These results can be of interest for coaches to prepare their teams in the best possible way, but they must be interpreted with caution as the sample was very specific (Copa del Rey in the ACB League) and, therefore, it is necessary to continue investigating this topic in other competition contexts.

Suggested Citation

  • Jorge Serna & Verónica Muñoz-Arroyave & Jaume March-Llanes & M. Teresa Anguera & Queralt Prat & Aaron Rillo-Albert & David Falcón & Pere Lavega-Burgués, 2021. "Effect of Ball Screen and One-on-One on the Level of Opposition and Effectiveness of Shots in the ACB," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2676-:d:512163
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/5/2676/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/5/2676/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jorge Lorenzo Calvo & Alejandro Menéndez García & Archit Navandar, 2017. "Analysis of mismatch after ball screens in Spanish professional basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(4), pages 555-562, July.
    2. Jorge Malarranha & Bruno Figueira & Nuno Leite & Jaime Sampaio, 2013. "Dynamic Modeling of Performance in Basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(2), pages 377-387, August.
    3. L. Lamas & D. De Rose Junior & F. Santana & E. Rostaiser & L. Negretti & C. Ugrinowitsch, 2011. "Space creation dynamics in basketball offence: validation and evaluation of elite teams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 11(1), pages 71-84, April.
    4. Gabor Csataljay & Nic James & Mike Hughes & Henriette Dancs, 2013. "Effects of defensive pressure on basketball shooting performance," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(3), pages 594-601, December.
    5. Brian Skinner, 2012. "The Problem of Shot Selection in Basketball," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-8, January.
    6. Jaime Sampaio & Tim McGarry & Julio Calleja-González & Sergio Jiménez Sáiz & Xavi Schelling i del Alcázar & Mindaugas Balciunas, 2015. "Exploring Game Performance in the National Basketball Association Using Player Tracking Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-14, July.
    7. Christos Koutsouridis & Georgios Karamousalidis & Christos Galazoulas, 2018. "The efficacy of “High Pick and Roll” in relation to the defence’s reaction and its effect on the result of the game," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(4), pages 554-567, July.
    8. A. Vaquera & J.V. García-Tormo & M.A. Gómez Ruano & J.C Morante, 2016. "An exploration of ball screen effectiveness on elite basketball teams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 16(2), pages 475-485, August.
    9. Hubert Remmert & Anh-Tuan Chau, 2019. "Players’ decisions within ball screens in elite German men’s basketball: observation of offensive–defensive interactions using a process-orientated state-event model," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(1), pages 1-13, January.
    10. Leonardo Lamas & Felipe Santana & Matthew Heiner & Carlos Ugrinowitsch & Gilbert Fellingham, 2015. "Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-14, December.
    11. Mavridis George & Tsamourtzis Evangelos & Karipidis Alexandros & Laios Athanasios, 2009. "The inside game in World Basketball. Comparison between European and NBA teams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 9(2), pages 157-164, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iván Prieto-Lage & Christopher Vázquez-Estévez & Adrián Paramés-González & Juan Carlos Argibay-González & Xoana Reguera-López-de-la-Osa & Alfonso Gutiérrez-Santiago, 2022. "Ball Screens in the Men’s 2019 Basketball World Cup," IJERPH, MDPI, vol. 20(1), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iván Prieto-Lage & Christopher Vázquez-Estévez & Adrián Paramés-González & Juan Carlos Argibay-González & Xoana Reguera-López-de-la-Osa & Alfonso Gutiérrez-Santiago, 2022. "Ball Screens in the Men’s 2019 Basketball World Cup," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    2. Nikolaos Stavropoulos & Alexandra Papadopoulou & Pavlos Kolias, 2021. "Evaluating the Efficiency of Off-Ball Screens in Elite Basketball Teams via Second-Order Markov Modelling," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
    3. Kęstutis Matulaitis & Tomas Bietkis, 2021. "Prediction of Offensive Possession Ends in Elite Basketball Teams," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
    4. Shaoliang Zhang & Miguel Ángel Gomez & Qing Yi & Rui Dong & Anthony Leicht & Alberto Lorenzo, 2020. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    5. Jiao Jieying & Hu Guanyu & Yan Jun, 2021. "A Bayesian marked spatial point processes model for basketball shot chart," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 77-90, June.
    6. Juan M. García-Ceberino & Antonio Antúnez & Sebastián Feu & Sergio J. Ibáñez, 2020. "Quantification of Internal and External Load in School Football According to Gender and Teaching Methodology," IJERPH, MDPI, vol. 17(1), pages 1-18, January.
    7. Jaime Sampaio & Tim McGarry & Julio Calleja-González & Sergio Jiménez Sáiz & Xavi Schelling i del Alcázar & Mindaugas Balciunas, 2015. "Exploring Game Performance in the National Basketball Association Using Player Tracking Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-14, July.
    8. Leonardo Lamas & José Vitor Senatore & Gilbert Fellingham, 2020. "Two steps for scoring a point: Creating and converting opportunities in invasion team sports," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
    9. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    10. Tal Neiman & Yonatan Loewenstein, 2014. "Spatial Generalization in Operant Learning: Lessons from Professional Basketball," PLOS Computational Biology, Public Library of Science, vol. 10(5), pages 1-8, May.
    11. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2021. "Spatial Performance Indicators and Graphs in Basketball," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 725-738, August.
    12. Bruno Gonçalves & Diogo Coutinho & Juliana Exel & Bruno Travassos & Carlos Lago & Jaime Sampaio, 2019. "Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.
    13. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2023. "Spatial performance analysis in basketball with CART, random forest and extremely randomized trees," Annals of Operations Research, Springer, vol. 325(1), pages 495-519, June.
    14. Aaron S Fox & Lyndell Bruce, 2020. "When does risk outweigh reward? Identifying potential scoring strategies with netball’s new two-point rule," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    15. Feng Li & Damir Knjaz & Tomislav Rupčić, 2021. "Influence of Fatigue on Some Kinematic Parameters of Basketball Passing," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    16. Santos-Fernandez Edgar & Wu Paul & Mengersen Kerrie L., 2019. "Bayesian statistics meets sports: a comprehensive review," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(4), pages 289-312, December.
    17. Tomasz Zając & Kazimierz Mikołajec & Paweł Chmura & Marek Konefał & Michał Krzysztofik & Piotr Makar, 2023. "Long-Term Trends in Shooting Performance in the NBA: An Analysis of Two- and Three-Point Shooting across 40 Consecutive Seasons," IJERPH, MDPI, vol. 20(3), pages 1-12, January.
    18. Yasin Akinci, 2023. "Examining the Differences Between Playoff Teams and Non-Playoff Teams in Men’s Euroleague; Play-Type Statistics Perspective," SAGE Open, , vol. 13(4), pages 21582440231, December.
    19. Tal Neiman & Yonatan Loewenstein, 2014. "Spatial Generalization in Operant Learning: Lessons from Professional Basketball," Discussion Paper Series dp665, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    20. Jeon, Gyuhyeon & Park, Juyong, 2021. "Characterizing patterns of scoring and ties in competitive sports," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2676-:d:512163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.