The use of player tracking data to analyze defensive play in professional soccer-A scoping review

L Forcher, S Altmann, L Forcher… - … Journal of Sports …, 2022 - journals.sagepub.com
The analysis of tracking data in tactical game analysis is a topic of rising interest, as more
detailed insights into performance structure in soccer can be obtained compared to …

Orientation and decision-making for soccer based on sports analytics and AI: A systematic review

Z Pu, Y Pan, S Wang, B Liu, M Chen… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
Due to ever-growing soccer data collection approaches and progressing artificial
intelligence (AI) methods, soccer analysis, evaluation, and decision-making have received …

SoccerTrack: A dataset and tracking algorithm for soccer with fish-eye and drone videos

A Scott, I Uchida, M Onishi, Y Kameda… - Proceedings of the …, 2022 - openaccess.thecvf.com
Tracking devices that can track both players and balls are critical to the performance of
sports teams. Recently, significant effort has been focused on building larger broadcast …

Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

M Teranishi, K Tsutsui, K Takeda, K Fujii - International Workshop on …, 2022 - Springer
Evaluating the individual movements for teammates in soccer players is crucial for
assessing teamwork, scouting, and fan engagement. It has been said that players in a 90 …

Transformer-based neural marked spatio temporal point process model for football match events analysis

CCK Yeung, T Sit, K Fujii - arXiv preprint arXiv:2302.09276, 2023 - arxiv.org
With recently available football match event data that record the details of football matches,
analysts and researchers have a great opportunity to develop new performance metrics …

Prediction of defensive success in elite soccer using machine learning-Tactical analysis of defensive play using tracking data and explainable AI

L Forcher, T Beckmann, O Wohak… - … and Medicine in …, 2023 - Taylor & Francis
The interest in sports performance analysis is rising and tracking data holds high potential
for game analysis in team sports due to its accuracy and informative content. Together with …

A strategic framework for optimal decisions in football 1-vs-1 shot-taking situations: An integrated approach of machine learning, theory-based modeling, and game …

C Yeung, K Fujii - Complex & Intelligent Systems, 2024 - Springer
Complex interactions between two opposing agents frequently occur in domains of machine
learning, game theory, and other application domains. Quantitatively analyzing the …

Action valuation of on-and off-ball soccer players based on multi-agent deep reinforcement learning

H Nakahara, K Tsutsui, K Takeda, K Fujii - IEEE Access, 2023 - ieeexplore.ieee.org
Analysis of invasive sports such as soccer is challenging because the game situation
changes continuously in time and space, and multiple agents individually recognize the …

Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios

K Fujii, K Takeuchi, A Kuribayashi… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Evaluation of intervention in a multiagent system, for example, when humans should
intervene in autonomous driving systems and when a player should pass to teammates for a …

Location analysis of players in uefa euro 2020 and 2022 using generalized valuation of defense by estimating probabilities

R Umemoto, K Tsutsui, K Fujii - arXiv preprint arXiv:2212.00021, 2022 - arxiv.org
Analyzing defenses in team sports is generally challenging because of the limited event
data. Researchers have previously proposed methods to evaluate football team defense by …