Cover Image

A Machine Learning Framework for Off Ball Defensive Role and Performance Evaluation in Football

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Groom, Sean, Wang, Shuo, Belo, Francisco, Rice, Axl, Anderson, Liam
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning
by: Root, Andrew, et al.
Published: (2024)

Evaluations of Machine Learning Privacy Defenses are Misleading
by: Aerni, Michael, et al.
Published: (2024)

Proactive Fraud Defense: Machine Learning's Evolving Role in Protecting Against Online Fraud
by: Chy, Md Kamrul Hasan
Published: (2024)

Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
by: Rice, James
Published: (2026)

The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation
by: Mandadapu, Purnachandra
Published: (2024)

Granular Ball Twin Support Vector Machine
by: Quadir, A., et al.
Published: (2024)

A Framework for Interpretability in Machine Learning for Medical Imaging
by: Wang, Alan Q., et al.
Published: (2023)

Automated Explanation of Machine Learning Models of Footballing Actions in Words
by: Rahimian, Pegah, et al.
Published: (2025)

Complex Instruction Following with Diverse Style Policies in Football Games
by: Sun, Chenglu, et al.
Published: (2025)

Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
by: Daniels, Mara, et al.
Published: (2025)

Granular Ball Twin Support Vector Machine with Universum Data
by: Ganaie, M. A., et al.
Published: (2024)

Combining Machine Learning Defenses without Conflicts
by: Duddu, Vasisht, et al.
Published: (2024)

Long-term Off-Policy Evaluation and Learning
by: Saito, Yuta, et al.
Published: (2024)

A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)

A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives
by: Lamir, Ali Azimi, et al.
Published: (2025)

Granular-Balls based Fuzzy Twin Support Vector Machine for Classification
by: Zhao, Lixi, et al.
Published: (2024)

Enhanced Feature Based Granular Ball Twin Support Vector Machine
by: Quadir, A., et al.
Published: (2024)

PickleBall: Secure Deserialization of Pickle-based Machine Learning Models (Extended Report)
by: Kellas, Andreas D., et al.
Published: (2025)

Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Based Transformer Models
by: Song, Kevin, et al.
Published: (2026)

Automated Machine Learning in Radiomics: A Comparative Evaluation of Performance, Efficiency and Accessibility
by: Lozano-Montoya, Jose, et al.
Published: (2026)

Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning
by: Gussman, Jude, et al.
Published: (2024)

CRACQ: A Multi-Dimensional Approach To Automated Document Assessment
by: Soltani, Ishak, et al.
Published: (2025)

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
by: Sakhi, Otmane, et al.
Published: (2024)

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
by: Behnamnia, Armin, et al.
Published: (2025)

Performance Evaluation of Ising and QUBO Variable Encodings in Boltzmann Machine Learning
by: Hasegawa, Yasushi, et al.
Published: (2025)

Off-Policy Evaluation and Learning for Matching Markets
by: Hayashi, Yudai, et al.
Published: (2025)

Learning Action Embeddings for Off-Policy Evaluation
by: Cief, Matej, et al.
Published: (2023)

Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities
by: Yocam, Eric, et al.
Published: (2024)

Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models
by: Dang, Xingyu, et al.
Published: (2026)

The Role of Active Learning in Modern Machine Learning
by: Werner, Thorben, et al.
Published: (2025)

Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits
by: Chandak, Kushagra, et al.
Published: (2025)

DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
by: Tamano, Shu
Published: (2025)

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
by: Yu, Shuguang, et al.
Published: (2024)

Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses
by: Wang, Ganghua, et al.
Published: (2025)

Off-Policy Evaluation Under Nonignorable Missing Data
by: Wang, Han, et al.
Published: (2025)

Performance Insights-based AI-driven Football Transfer Fee Prediction
by: Sulimov, Daniil
Published: (2024)

Data Reconstruction Attacks and Defenses: A Systematic Evaluation
by: Liu, Sheng, et al.
Published: (2024)

Layer-wise Derivative Controlled Networks
by: Martnishn, Rowan, et al.
Published: (2026)

SoK: Unintended Interactions among Machine Learning Defenses and Risks
by: Duddu, Vasisht, et al.
Published: (2023)

Off-policy Evaluation in Doubly Inhomogeneous Environments
by: Bian, Zeyu, et al.
Published: (2023)