Who can receive the pass? A computational model for quantifying availability in soccer
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Data Mining and Knowledge Discovery, Jahrgang 36, Nr. 3, 01.05.2022, S. 987-1014.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Who can receive the pass? A computational model for quantifying availability in soccer
AU - Dick, Uwe
AU - Link, Daniel
AU - Brefeld, Ulf
N1 - We would like to thank Hendrik Weber and Sportec Solutions / Deutsche Fussball Liga (DFL) for providing the tracking data. Publisher Copyright: © 2022, The Author(s).
PY - 2022/5/1
Y1 - 2022/5/1
N2 - The paper presents a computational approach to Availability of soccer players. Availability is defined as the probability that a pass reaches the target player without being intercepted by opponents. Clearly, a computational model for this probability grounds on models for ball dynamics, player movements, and technical skills of the pass giver. Our approach aggregates these quantities for all possible passes to the target player to compute a single Availability value. Empirically, our approach outperforms state-of-the-art competitors using data from 58 professional soccer matches. Moreover, our experiments indicate that the model can even outperform soccer coaches in assessing the availability of soccer players from static images.
AB - The paper presents a computational approach to Availability of soccer players. Availability is defined as the probability that a pass reaches the target player without being intercepted by opponents. Clearly, a computational model for this probability grounds on models for ball dynamics, player movements, and technical skills of the pass giver. Our approach aggregates these quantities for all possible passes to the target player to compute a single Availability value. Empirically, our approach outperforms state-of-the-art competitors using data from 58 professional soccer matches. Moreover, our experiments indicate that the model can even outperform soccer coaches in assessing the availability of soccer players from static images.
KW - Ball dynamics
KW - Elite sports
KW - Football
KW - Graph networks
KW - MDNs
KW - Movement models
KW - Passing behavior
KW - Sports analytics
KW - Tracking data
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85126893370&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/417b866e-bef8-3cc5-9626-1373d9a13d87/
U2 - 10.1007/s10618-022-00827-2
DO - 10.1007/s10618-022-00827-2
M3 - Journal articles
AN - SCOPUS:85126893370
VL - 36
SP - 987
EP - 1014
JO - Data Mining and Knowledge Discovery
JF - Data Mining and Knowledge Discovery
SN - 1384-5810
IS - 3
ER -