Cover Image

RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Adjileye, Akedjou Achraff
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting the future development in quality and value of professional football players
by: van Arem, Koen W., et al.
Published: (2025)

Stacking-based deep neural network for player scouting in football 1
by: Lacan, Simon
Published: (2024)

Decentralized Asynchronous Multi-player Bandits
by: Fan, Jingqi, et al.
Published: (2025)

A survey on multi-player bandits
by: Boursier, Etienne, et al.
Published: (2022)

Court rules against football player
Published: (2025)

Court rules against football player
Published: (2025)

BiRating -- Iterative averaging on a bipartite graph of Beat Saber scores, player skills, and map difficulties
by: Casanova, Juan
Published: (2025)

Deep SOR Minimax Q-learning for Two-player Zero-sum Game
by: Gautam, Saksham, et al.
Published: (2025)

Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)

Fairness in two-player zero-sum games with bandit feedback
by: Akash, S, et al.
Published: (2026)

Balancing of competitive two-player Game Levels with Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2023)

The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training
by: Shim, Joo Yong, et al.
Published: (2024)

player2vec: A Language Modeling Approach to Understand Player Behavior in Games
by: Wang, Tianze, et al.
Published: (2024)

Did court dismiss football player's negligence claim?
by: Eric Lyerly
Published: (2024)

Statistical analysis of team formation and player roles in football
by: Baouan, Ali
Published: (2025)

Theory and data analysis of player and team ball possession time in football
by: Yamamoto, Ken, et al.
Published: (2023)

Toward a universal foundation model for graph-structured data
by: Mostafa, Sakib, et al.
Published: (2026)

Centaur: a foundation model of human cognition
by: Binz, Marcel, et al.
Published: (2024)

Expected flow networks in stochastic environments and two-player zero-sum games
by: Jiralerspong, Marco, et al.
Published: (2023)

Deviations from the Nash equilibrium in a two-player optimal execution game with reinforcement learning
by: Lillo, Fabrizio, et al.
Published: (2024)

Enhancing next token prediction based pre-training for jet foundation models
by: Birk, Joschka, et al.
Published: (2025)

Unified token representations for sequential decision models
by: Tian, Zhuojing, et al.
Published: (2025)

The cell as a token: high-dimensional geometry in language models and cell embeddings
by: Gilpin, William
Published: (2025)

PolicyEvolve: Evolving Programmatic Policies by LLMs for multi-player games via Population-Based Training
by: Lv, Mingrui, et al.
Published: (2025)

MEG-GPT: A transformer-based foundation model for magnetoencephalography data
by: Huang, Rukuang, et al.
Published: (2025)

Bayesian multilevel step-and-turn models for evaluating player movement in American football
by: Nguyen, Quang, et al.
Published: (2026)

DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entries
by: Liu, Xiaodong
Published: (2024)

SportsNGEN: Sustained Generation of Realistic Multi-player Sports Gameplay
by: Thorpe, Lachlan, et al.
Published: (2024)

Generated prediction outputs for football player market value experiment
by: Riaz, Muhammad Athar
Published: (2026)

A foundation model for electrodermal activity data
by: Alchieri, Leonardo, et al.
Published: (2026)

Increasing transformer token length with a Maximum Entropy Principle Method
by: Cukier, R. I.
Published: (2024)

Toward a foundational thermal model for residential buildings
by: Dai, Ting-Yu, et al.
Published: (2026)

Flow marching for a generative PDE foundation model
by: Chen, Zituo, et al.
Published: (2025)

Not all tokens are needed(NAT): token efficient reinforcement learning
by: Sang, Hejian, et al.
Published: (2026)

Embracing the black box: Heading towards foundation models for causal discovery from time series data
by: Stein, Gideon, et al.
Published: (2024)

Efficient numeracy in language models through single-token number embeddings
by: Kreitner, Linus, et al.
Published: (2025)

Do language models plan ahead for future tokens?
by: Wu, Wilson, et al.
Published: (2024)

Visualizing token importance for black-box language models
by: Rauba, Paulius, et al.
Published: (2025)

EarthPT: a time series foundation model for Earth Observation
by: Smith, Michael J., et al.
Published: (2023)

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction
by: Cremer, Julian, et al.
Published: (2025)