Action rate models for predicting actions in soccer

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Action rate models for predicting actions in soccer. / Dick, Uwe; Brefeld, Ulf.
in: AStA Advances in Statistical Analysis, Jahrgang 107, Nr. 1-2, 02.03.2022, S. 29-49.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

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 -

DOI

Zuletzt angesehen

Forschende

  1. Georg Reischauer

Publikationen

  1. Insights into Jatropha Projects Worldwide
  2. Implicit and explicit horizons
  3. Analysis of life cycle datasets for the material gold
  4. Inherent and induced anisotropic finite visco-plasticity with applications to the forming of DC06 sheets
  5. A utilitarian notion of responsibility for sustainability
  6. In situ synchrotron diffraction of the solidification of Mg4Y3Nd
  7. Self-supervised Siamese Autoencoders
  8. What is missing in the EVS?
  9. Energy model, boundary object and societal lens
  10. Instruments for co-operative planning in spatial management concerned with flooding issues
  11. Towards greener and sustainable ionic liquids using naturally occurring and nature-inspired pyridinium structures
  12. From 'one right way' to 'one ruinous way'? Discursive shifts in 'There is no alternative'
  13. Effects of plyometric training on postural control in static and dynamic testing situations
  14. The lens of polycentricity
  15. Evaluating a hybrid web-based training program for panic disorder and agoraphobia
  16. Conceptualizing protected area research in a transdisciplinary
  17. Investigation of the sulfur speciation in petroleum products by capillary gas chromatography with ICP-collision cell-MS detection
  18. Mapping Urban Information as an Interdisciplinary Method for Geography, Art and Architecture Representations
  19. Material system analysis
  20. Software and Web-Based Tools for Sustainability Management in Micro-, Small- and Medium-Sized Enterprises
  21. Collisions in space
  22. A Process Perspective on Organizational Failure
  23. Social group membership does not modulate automatic imitation in a contrastive multi-agent paradigm
  24. Intelligence assessment with computer simulations
  25. Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)