1. //
  2. Start
  3. //
  4. Publications
  5. Action rate models for predicting action...
  6. Output formats
  7. //

Action rate models for predicting actions in soccer

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Action rate models for predicting actions in soccer. / Dick, Uwe; Brefeld, Ulf.
In: AStA Advances in Statistical Analysis, Vol. 107, No. 1-2, 02.03.2022, p. 29-49.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Dick, U & Brefeld, U 2022, 'Action rate models for predicting actions in soccer', AStA Advances in Statistical Analysis, vol. 107, no. 1-2, pp. 29-49. https://doi.org/10.1007/s10182-022-00435-x

APA

Dick, U., & Brefeld, U. (2022). Action rate models for predicting actions in soccer. AStA Advances in Statistical Analysis, 107(1-2), 29-49. https://doi.org/10.1007/s10182-022-00435-x

Vancouver

Dick U, Brefeld U. Action rate models for predicting actions in soccer. AStA Advances in Statistical Analysis. 2022 Mar 2;107(1-2):29-49. doi: 10.1007/s10182-022-00435-x

Bibtex

@article{f7a1c0f051d44451b1779a36b92a033a,
title = "Action rate models for predicting actions in soccer",
abstract = "We present a data-driven approach to predict the next action in soccer. We focus on passing actions of the ball possessing player and aim to forecast the pass itself and when, in time, the pass will be played. At the same time, our model estimates the probability that the player loses possession of the ball before she can perform the action. Our approach consists of parameterized exponential rate models for all possible actions that are adapted to historic data with graph recurrent neural networks to account for inter-dependencies of the output space (i.e., the possible actions). We report on empirical results.",
keywords = "Informatics, Actions, Elite sports, Football, Game flow, GRNNs, Rate models, Soccer analytics, Actions, Elite sports, Football, GRNNs, Game flow, Rate models, Soccer analytics, Business informatics",
author = "Uwe Dick and Ulf Brefeld",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = mar,
day = "2",
doi = "10.1007/s10182-022-00435-x",
language = "English",
volume = "107",
pages = "29--49",
journal = "AStA Advances in Statistical Analysis",
issn = "1863-8171",
publisher = "Springer Verlag",
number = "1-2",

}

RIS

TY - JOUR

T1 - Action rate models for predicting actions in soccer

AU - Dick, Uwe

AU - Brefeld, Ulf

N1 - Publisher Copyright: © 2022, The Author(s).

PY - 2022/3/2

Y1 - 2022/3/2

N2 - We present a data-driven approach to predict the next action in soccer. We focus on passing actions of the ball possessing player and aim to forecast the pass itself and when, in time, the pass will be played. At the same time, our model estimates the probability that the player loses possession of the ball before she can perform the action. Our approach consists of parameterized exponential rate models for all possible actions that are adapted to historic data with graph recurrent neural networks to account for inter-dependencies of the output space (i.e., the possible actions). We report on empirical results.

AB - We present a data-driven approach to predict the next action in soccer. We focus on passing actions of the ball possessing player and aim to forecast the pass itself and when, in time, the pass will be played. At the same time, our model estimates the probability that the player loses possession of the ball before she can perform the action. Our approach consists of parameterized exponential rate models for all possible actions that are adapted to historic data with graph recurrent neural networks to account for inter-dependencies of the output space (i.e., the possible actions). We report on empirical results.

KW - Informatics

KW - Actions

KW - Elite sports

KW - Football

KW - Game flow

KW - GRNNs

KW - Rate models

KW - Soccer analytics

KW - Actions

KW - Elite sports

KW - Football

KW - GRNNs

KW - Game flow

KW - Rate models

KW - Soccer analytics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85125542114&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c725041f-72b8-3ca5-9e45-35599a6500d0/

U2 - 10.1007/s10182-022-00435-x

DO - 10.1007/s10182-022-00435-x

M3 - Journal articles

AN - SCOPUS:85125542114

VL - 107

SP - 29

EP - 49

JO - AStA Advances in Statistical Analysis

JF - AStA Advances in Statistical Analysis

SN - 1863-8171

IS - 1-2

ER -

Related by journal

Contextual movement models based on normalizing flows

Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 03.2023, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 51-72 22 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Multinomial choice models based on Archimedean copulas

Schwiebert, J., 01.07.2016, In: AStA Advances in Statistical Analysis. 100, 3, p. 333-354 22 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Semiparametric one-step estimation of a sample selection model with endogenous covariates

Schwiebert, J., 23.10.2015, In: AStA Advances in Statistical Analysis. 99, 4, p. 379-402 24 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Other publications by the same author(s)

Interactive sequential generative models for team sports

Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

Research output: Journal contributions › Journal articles › Research › peer-review

Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items

Bengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 2025, (Accepted/In press) In: Psychometrika.

Research output: Journal contributions › Journal articles › Research › peer-review

Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers

Brefeld, U. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2025, Cham: Springer Verlag. 119 p. (Communications in Computer and Information Science; vol. 2460)

Research output: Books and anthologies › Conference proceedings › Research

Masked autoencoder for multiagent trajectories

Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

Research output: Journal contributions › Journal articles › Research › peer-review

The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions

Zantvoort, K., Matthiesen, J., Bjurner, P., Bendix, M., Brefeld, U., Funk, B. & Kaldo, V., 06.2025, In: Internet Interventions. 40, 7 p., 100828.

Research output: Journal contributions › Journal articles › Research › peer-review

DOI

Recently viewed

Researchers

  1. Benedikt Scheel

Publications

  1. HR practices and ambidexterity in small- and medium-sized consulting firms: An exploratory multi-case study
  2. Root-root interactions: extending our perspective to be more inclusive of the range of theories in ecology and agriculture using in-vivo analyses
  3. Mining product configurator data
  4. Education and Communication as Prerequisites for and Components of Sustainable Development. Reflections for Policies, Conceptual Work, and Theory, Based on Previous Practises
  5. Self-perception of the internal audit function within the corporate governance system - Empirical evidence for the European Union
  6. Integration durch soziale Kontrolle?
  7. Jointly experimenting for transformation?
  8. Neural Networks for Energy Optimization of Production Processes in Small and Medium Sized Enterprises
  9. The State of Multimedia Mass-Balance Modeling in Environmental science and decision-making
  10. Introduction: Habitual Action, Automaticity, and Control
  11. Utilizing learning analytics to support study success
  12. Understanding Innovation
  13. Swarm Robotics, or: the smartness of 'a bunch of cheap dumb things'
  14. Knowledge and social learning for sustainable development
  15. How does collaborative governance evolve?
  16. The analytical competency model to investigate the video-stimulated analysis of inclusive sciene education
  17. Instruments for comprehensive land use planning and river basin management
  18. Mechanisms of change
  19. The declarative value of paraphs and the scope of military opposition. Annotations to Johannes Hurter: On the way to military opposition.
  20. Wavelet decompositions of L2-Functionals
  21. Beyond synchrony
  22. Aprender gramática online