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[1971] Skill and Chance in Ball Games - Charles Reep, Bernard Benjamin, Richard Pollard.docx
[1997] Modelling Association Football Scores and Inefficiencies in the Football Betting Market by Mark Dixon and Stuart Coles.pdf
[2002] Charles Reep (1904-2002) pioneer of notational and performance analysis in football - Richard Pollard.pdf
[2011] A Framework for Tactical Analysis and Individual Offensive Production Assessment in Soccer Using Markov Chains - Sarah Rudd..pdf
[2011] An Extension of the Pythagorean Expectation for Association Football - Howard Hamilton.pdf
[2014 Large-Scale Analysis of Soccer Matches using Spatiotemporal Tracking Data - Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, and Iain Matthews.pdf
[2014] Factorized point process intensities- A spatial analysis of professional basketball by Andrew Miller, Luke Bornn, Ryan Adams, and Kirk Goldsberry.pdf
[2014] Pointwise- Predicting points and valuing decisions in real time with NBA optical tracking data by Dan Cervone, Alexander D’Amour, Luke Bornn, and Kirk Goldsberry.pdf
[2015] Characterizing the spatial structure of defensive skill in professional basketball by Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry.pdf
[2015] Counterpoints- Advanced defensive metrics for NBA basketball by Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry.pdf
[2015] “Quality vs Quantity” Improved Shot Prediction in Soccer using Strategic Features from Spatiotemporal Data - Patrick Lucey, Alina Bialkowski, Mathew Monfort, Peter Carr, and Iain Matthews.pdf
[2016] A multiresolution stochastic process model for predicting basketball possession outcomes by Daniel Cervone, Alex D’Amour, Luke Bornn, and Kirk Goldsberry.pdf
[2016] Does training affect match performance? A study using data mining and tracking devices by Javier Fernández, Daniel Medina Leal, Antonio Gómez, Marta Arias Vicente, and Ricard Gavaldà Mestre.pdf
[2016] Expected Goals in Soccer Explaining Match Results using Predictive Analytics by Harm Eggels.pdf
[2016] Expected Goals in Soccer Explaining Match Results using Predictive Analyticsby Harm Eggels.pdf
[2016] From Training to Match Performance- A Predictive and Explanatory Study on Novel Tracking Data by Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, and Ricard Gavaldà.pdf
[2016] From Training to Match Performance- An Exploratory and Predictive Analysis on F.C. Barcelona GPS Data by Javier Fernández.pdf
[2016] NBA court realty by Dan Cervone, Luke Bornn, and Kirk Goldsberry.pdf
[2016] Quantifying Pitch Control - Will Spearman.pdf
[2016] Quantifying Pitch Control - William Spearman.pdf
[2016] Spatio-Temporal Analysis of Team Sports – A Survey - Joachim Gudmundsson and Michael Horton.pdf
[2016] The pressing game- Optimal defensive disruption in soccer by Iavor Bojinov, and Luke Bornn.pdf
[2017] An examination of expected goals and shot efficiency in soccer - Alex Rathke.pdf
[2017] Beyond Crowd Judgments - Data-Driven Estimation of Market Value in Association Football - Oliver Müller, Alexander Simons, and Markus Weinmann.pdf
[2017] Data-Driven Ghosting using Deep Imitation Learning - Hoang M. Le, Peter Carr, Yisong Yue, and Patrick Lucey.pdf
[2017] Effective injury prediction in professional soccer with GPS data and machine learning by Alessio Rossi, Luca Pappalardo, Paolo Cintia, F Iaia, Javier Fernández, and Daniel Medina.pdf
[2017] Learning person trajectory representations for team activity analysis by Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg Mori.pdf
[2017] Not all passes are created equal- objectively measuring the risk and reward of passes in soccer from tracking data - Paul Power, Hector Ruiz, Xinyu Wei, and Patrick Lucey.pdf
[2017] Physics-Based Modeling of Pass Probabilities in Soccer - Will Spearman, Austin Basye, Greg Dick, Ryan Hotovy, and Paul Pop.pdf
[2017] Plus-Minus Player Ratings for Soccer - Tarak Kharrat, Javier Pena, and Ian McHale.pdf
[2017] Possession sketches- Mapping NBA strategies by Andrew C Miller, and Luke Bornn.pdf
[2017] Predicting goal probabilities for possessions in football - Nils Mackay.pdf
[2017] Valuing passes in football using ball event data - Lotte Bransen.pdf
[2017] “The Leicester City Fairytale?” Utilizing New Soccer Analytics Tools to Compare Performance in the 15:16 & 16:17 EPL Seasons - Hector Ruiz, Paul Power, Xinyu Wei, and Patrick Lucey.pdf
[2018] Beyond Expected Goals - Will Spearman.pdf
[2018] Beyond Expected Goals - William Spearman.pdf
[2018] Effective injury forecasting in soccer with GPS training data and machine learning by Alessio Rossi, Luca Pappalardo, Paolo Cintia, F Marcello Iaia, Javier Fernández, and Daniel Medina.pdf
[2018] High-resolution shot capture reveals systematic biases and an improved method for shooter evaluation - Rachel Marty.pdf
[2018] Predicting football results using machine learning techniques - Corentin Herbinet.pdf
[2018] Replaying the NBA - Nathan Sandholtz and Luke Bornn.pdf
[2018] Soccer analytics- Unravelling the complexity of “the beautiful game” by Luke Bornn, Dan Cervone, and Javier Fernandez.pdf
[2018] Spatial analysis of shots in MLS A model for expected goals and fractal dimensionality - Alexandera Fairchild, Konstantinos Pelechrinis, Mariosa Kokkodis.pdf
[2018] Wide Open Spaces A statistical technique for measuring space creation in professional soccer - Javier Fernandez and Luke Bornn.pdf
[2018] Wide Open Spaces A statistical technique for measuring space creation in professional soccer by Javier Fernández, and Luke Bornn.pdf
[2019] Actions Speak Louder Than Goals Valuing Player Actions in Soccer - Tom Decroos, Lotte Bransen, Jan Van Haaren, and Jesse Davis.pdf
[2019] Decomposing the Immeasurable Sport A deep learning expected possession value framework for soccer - Javier Fernández, Bornn, and Dan Cervone.pdf
[2019] Decomposing the Immeasurable Sport A deep learning expected possession value framework for soccer by Javier Fernández, Luke Bornn, and Dan Cervone.pdf
[2019] Distance construction and clustering of football player performance data by Serhat Akhanli.pdf
[2019] Dynamic Analysis of Team Strategy in Professional Football - Laurie Shaw and Mark Glickman.pdf
[2019] Invalid Interpretation of Passing Sequence Data to Assess Team Performance in Football Repairing the Tarnished Legacy of Charles Reep - Richard Pollard.pdf
[2019] Measuring soccer players’ contributions to chance creation by valuing their passes - Lotte Bransen, Jan Van Haaren, and Michel van de Velden.pdf
[2019] Modelling the Collective Movement of Football Players - Fran Peralta.pdf
[2019] PassNet- Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics by Javier Fernández, and Luke Bornn.pdf
[2019] Player Vectors Characterizing Soccer Players’ Playing Style from Match Event Streams - Tom Decroos and Jesse Davis.pdf
[2020] A Framework for the Fine-Grained Evaluation of the Instantaneous Expected Value of Soccer Possessions - Javier Fernández, Luke Bornn and Daniel Cervone.pdf
[2020] A new look into Off-ball Scoring Opportunity- taking into account the continuous nature of the game - Hugo M. R. Rios-Neto, Wagner Meira Jr., Pedro O. S. Vaz-de-Melo.pdf
[2020] Automatic Pass Annotation from Soccer Video Streams based on Object Detection and LSTM - Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi and Luca Pappalardo.pdf
[2020] Cracking the Black Box - Distilling Deep Sports Analytics - Xiangyu Sun, Jack Davis, Oliver Schulte and Guiliang Liu.pdf
[2020] Deep Soccer Analytics Learning an Action-Value Function for Evaluating Soccer Players - Guiliang Liu, Yudong Luo, Oliver Schulte and Tarak Kharrat.pdf
[2020] Game Plan What AI can do for Football, and What Football can do for AI - Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, Will Spearman, Tim Waskeet, Dafydd Steele, Pauline Luc, Adria Recasens.pdf
[2020] Google Research Football A Novel Reinforcement Learning Environment - Karol Kurach, Anton Raichuk, Piotr Stańczyk, Michał Zając, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet.pdf
[2020] Group Activity Detection From Trajectory and Video Data in Soccer - Ryan Sanford, Siavash Gorji, Luiz Hafemann, Bahareh Pourbabaee and Mehrsan Javan.pdf
[2020] Interpretable Prediction of Goals in Soccer - Tom Decroos and Jesse Davis.pdf
[2020] Inverse Reinforcement Learning for Team Sports Valuing Actions and Players - Yudong Luo, Oliver Schulte and Pascal Poupart.pdf
[2020] Learning the Value of Teamwork to Form Efficient Teams - Ryan Beal, Narayan Changder, Timothy Norman, Sarvapali Ramchurn.pdf
[2020] Optimising Game Tactics for Football - Ryan Beal, Georgios Chalkiadakis, Timothy Norman and Sarvapali Ramchurn.pdf
[2020] Player Chemistry Striving for a Perfectly Balanced Soccer Team - Lotte Bransen and Jan Van Haaren.pdf
[2020] Ready Player Run- Off-ball run identification and classification - Sam Gregory.pdf
[2020] Routine Inspection A Playbook for Corner Kicks - Laurie Shaw and Sudarshan Gopaladesikan.pdf
[2020] Seeing in to the future using self-propelled particle models to aid player decision-making in soccer - Fran Peralta, Pablo Piñones Arce, David Sumpter and Javier Fernández.pdf
[2020] Soccer Analytics Meets Artificial Intelligence- Learning Value and Style from Soccer Event Stream Data - Tom Decroos.pdf
[2020] SoccerMap A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer - Javier Fernández and Luke Bornn.pdf
[2020] SoccerMix Representing Soccer Actions with Mixture Models - Tom Decroos, Maaike Van Roy and Jesse Davis.pdf
[2020] Soccermap- A deep learning architecture for visually-interpretable analysis in soccer by Javier Fernández, and Luke Bornn.pdf
[2020] The Right Place at the Right Time Advanced Off-Ball Metrics for Exploiting an Opponent’s Spatial Weakenesses in Soccer - Sergio Llana, Pau Madrero and Javier Fernández.pdf
[2020] The Tactics of Successful Attacks in Professional Association Football Large-Scale Spatiotemporal Analysis of Dynamic Subgroups Using Position Tracking Data - Floris Goes, Michel Brink, Marije Elferink-Gemser, Matthias Kempe and Koen Lemmink.pdf
[2020] The right place at the right time- Advanced off-ball metrics for exploiting an opponent’s spatial weaknesses in soccer by Sergio Llana, Pau Madrero, and Javier Fernández.pdf
[2020] Using Player’s Body-Orientation to Model Pass Feasibility in Soccer - Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester and Gloria Haro.pdf
[2020] Using player's body-orientation to model pass feasibility in soccer by Adria Arbues-Sanguesa, Adrian Martin, Javier Fernández, Coloma Ballester, and Gloria Haro.pdf
[2020] Valuing On-the-Ball Actions in Soccer- A Critical Comparison of xT and VAEP - Maaike Van Roy, Pieter Robberechts, Tom Decroos and Jesse Davis.pdf
[2021] 6MapNet Representing Soccer Players from Tracking Data a Triplet Network (2021) by Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon and Sang-Ki Ko.pdf
[2021] A Bayesian Approach to In-Game Win Probability in Soccer by Pieter Robberechts, Jan Van Haaren, and Jesse Davis.pdf
[2021] A Career in Football What Is Behind an Outstanding Market Value? by Balázs Ács and László Toka.pdf
[2021] A Copula-Based Hidden Markov Model for Classification of Tactics in Football by Marius Oetting.pdf
[2021] A Framework for the Fine-Grained Evaluation of the Instantaneous Expected Value of Soccer Possessions by Javier Fernández, Luke Bornn and Daniel Cervone.pdf
[2021] A Goal Scoring Probability Model for Shots Based on Synchronized Positional and Event Data in Football (Soccer) by Gabriel Anzer and Pascal Bauer.pdf
[2021] A Poisson Betting Model with a Kelly Criterion Element for European Soccer by Kushal Shah, James Hyman and Dominic Samangy.pdf
[2021] A Risk-Reward Assessment of Passing Decisions Comparison Between Positional Roles Using Tracking Data from Professional Men’s Soccer by Floris Goes, Edgar Schwarz, Marije Elferink-Gemser, Koen Lemmink and Michel Brink.pdf
[2021] A Systematic Approach to Strategic Football Team Insights & Player Recruitment Analysis by Christian Gilson.pdf
[2021] A framework for the fine‑grained evaluation of the instantaneous expected value of soccer possessions by Javier Fernández, Luke Bornn, Daniel Cervone.pdf
[2021] Always look on the bright side of the field- Merging pose and contextual data to estimate orientation of soccer players by Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester.pdf
[2021] Analyzing Learned Markov Decision Processes using Model Checking for Providing Tactical Advice in Professional Soccer - Maaike Van Roy, Wen-Chi Yang, Luc De Raedt and Jesse Davis.pdf
[2021] Analyzing Learned Markov Decision Processes using Model Checking for Providing Tactical Advice in Professional Soccer by Maaike Van Roy, Wen-Chi Yang, Luc De Raedt and Jesse Davis.pdf
[2021] Anatomy of Receiving and Turning with the Ball by Soumyajit Bose and Manas Saraswat.pdf
[2021] Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of Their Representations for Action Spotting by Anthony Cioppa, Adrien Deliege, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem and Marc Van Droogenb.pdf
[2021] Decision Support System Applications for Scheduling in Professional Team Sport. The Team's Perspective by Xavier Schelling, Jose Fernández, Patrick Ward, Javier Fernández, and Sam Robertson.pdf
[2021] Evaluating Soccer Player from Live Camera to Deep Reinforcement Learning (2021) - Paul Garnier and Théophane Gregoir.pdf
[2021] Football Analytics 2021 by Barca Innovation Hub.pdf
[2021] Learning Football Body-Orientation as a Matter of Classification - Adrià Arbués-Sangüesa, Adrián Martín, Paulino Granero, Coloma Ballester and Gloria Haro.pdf
[2021] Leaving Goals on the Pitch- Evaluation Decision Making in Soccer by Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, and Jesse Davis.pdf
[2021] Making Offensive Play Predictable Using a Graph Convolutional Network to Understand Defensive performance in Soccerby Michael Stöckl, Thomas Seidl, Daniel Marley & Paul Power.pdf
[2021] Women's football analyzed- interpretable expected goals models for women - Lotte Bransen and Jesse Davis.pdf
[2021] “Why Would I Trust Your Numbers?” On the Explainability of Expected Values in Soccer - Jan Van Haaren.pdf
[2022] A Machine Learning Ensembling Approachm to Predicting Transfer Values by Ayse Elvan Aydemir, Tugba Taskaya Temizel, and Alptekin Temizel.pdf
[2022] A New Performance Metric For Player Evaluation Based On Causality by Alessandro Cecchin.pdf
[2022] A framework for the analytical and visual interpretation of complex spatiotemporal dynamics in soccer by Javier Fernández.pdf
[2022] A study of Prediction models for football player valuations by quantifying statistical and economic attributes for the global transfer market by Dibyanshu Patnaik, Harsh Praharaj, Kartikeya Prakash, and Krishna Samdani.pdf
[2022] Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities by Conor McCarthy, Panagiotis Tampakis, Marco Chiarandini, Morten Bredsgaard Randers, Stefan Jänicke and Arthur Zimek.pdf
[2022] Automated Detection of Complex Tactical Patterns in Football—Using Machine Learning Techniques to Identify Tactical Behavior by Pascal Bauer.pdf
[2022] Automatic Event Detection in Football Using Tracking Data by Ferran Vidal-Codina, Nicolas Evans, Bahaeddine El Fakir and Johsan Billingham.pdf
[2022] Beyond action valuation- A deep reinforcement learning framework for optimizing player decisions in soccer by Pegah Rahimian, Jan Van Haaren, Togzhan Abzhanova and Laszlo Toka.pdf
[2022] Contextual Expected Threat (xT) using Spatial Event Data by Greg Everett, Ryan Beal, Tim Matthews, Tim Norman, Gopal Ramchurn.pdf
[2022] Contextualised High-Intensity Running Profiles of Elite Football Players with Reference to General and Specialised Tactical Roles by Wonwoo Ju, Dominic Doran, Richard Hawkins, Mark Evans, Andy Laws and Paul Bradley.pdf
[2022] Controlling Ball Progression in Soccer by Catherine Pfaff, Emily Hunter, Haozhi Hong, Daniel Forestell, Ari Fialkov, Zoey Drassinower and Timothy Chan.pdf
[2022] Detection of tactical patterns using semi-supervised graph neural networks by Gabriel Anzer, Pascal Bauer, Ulf Brefeld, Dennis Faßmeyer.pdf
[2022] Econometric Approach to Assessing the Transfer Fees and Values of Professional Football Players by Raffaele Poli, Roger Besson, and Loïc Ravenel.pdf
[2022] Estimating transfer fees of professional footballers using advanced performance metrics and machine learning by Ian G.McHale, and Benjamin Holmes.pdf
[2022] Evaluating Sports Analytics Models- Challenges, Approaches, and Lessons Learned by Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren and Maaike Van Roy.pdf
[2022] Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction by Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda and Keisuke Fujii.pdf
[2022] Expected passes by Gabriel Anzer and Pascal Bauer.pdf
[2022] Generalized Action-based Ball Recovery Model using 360° data by Ricardo Furbino And Hugo Rios-Neto.pdf
[2022] Identification of Factors Determining Market Value of the Most Valuable Football Players by Sebastian Majewski.pdf
[2022] Is it worth the effort? Understanding and contextualizing physical metrics in soccer by Sergio Llana, Borja Burriel, Pau Madrero, Javier Fernández.pdf
[2022] Let’s Penetrate the Defense- A Machine Learning Model for Prediction and Valuation of Penetrative Passes by Pegah Rahimian, Dayana Grayce da Silva Guerra Gomes, Fanni Berkovics and Laszlo Toka.pdf
[2022] Looking Beyond the Past- Analyzing the Intrinsic Playing Style of Soccer Teams by Jeroen Clijmans, Maaike Van Roy and Jesse Davis.pdf
[2022] Machine Learning for Understanding and Predicting Injuries in Football by Aritra Majumdar, Rashid Bakirov, Dan Hodges, Suzanne Scott and Tim Rees.pdf
[2022] Modelling the transfer prices of football players by Ivo Hendriks.pdf
[2022] Multiagent off-screen behavior prediction in football (2022) by Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Zhe Wang, Adria Recasens, Eugene Tarassov, Yi Yang, Romuald Elie, Jerome T. Connor, Paul Muller, Natalie Mackraz, Kris Cao....pdf
[2022] Predict the Value of Football Players Using FIFA Video Game Data and Machine Learning Techniques by Mustafa A. Al-Asadi and Sakir Tasdemır.pdf
[2022] Predicting Market Value of Football Players using Machine Learning Algorithms by Sidharrth Mahadevan.docx
[2022] Predicting Market Value of Soccer Players Using Linear Modeling Techniques by Yuan He.pdf
[2022] Qualitative Team Formation Analysis in Football- A Case Study of the 2018 FIFA World Cup (2022) by Jasper Beernaerts, Bernard De Baets, Matthieu Lenoir and Nico Van de Weghe.pdf
[2022] Reinforcement Learning For Football Player Decision Making Analysis by Michael Pulis and Josef Bajada.pdf
[2022] Seq2Event- Learning the Language of Soccer Using Transformer-based Match Event Prediction by Ian Simpson, Ryan Beal, Duncan Locke and Tim Norman.pdf
[2022] Shot Analysis in Different Levels of German Football Using Expected Goals by Laurynas Raudonius and Thomas Seidl.pdf
[2022] SoccerCPD- Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data by Hyunsung Kim, Bit Kim, Dongwook Chung, Jinsung Yoon and Sang-Ki Ko.pdf
[2022] Team-Builder- Toward More Effective Lineup Selection in Soccer by Anqi Cao, Ji Lan, Xiao Xie, Hongyu Chen, Xiaolong Zhang, Hui Zhang and Yingcai Wu.pdf
[2022] Temporal Match Analysis and Recommending Substitutions in Live Soccer Games by Yuval Berman, Sajib Mistry, Joby Mathew and Aneesh Krishna.pdf
[2022] The Determinants of Football Transfer Market Value- An Age of Financial Restraint by Thomas Preston.pdf
[2022] The use of player tracking data to analyze defensive play in professional soccer - A scoping review by Leander Forcher, Stefan Altmann, Leon Forcher, Darko Jekauc, and Matthias Kempe.pdf
[2022] Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks by Henrik Rolf Biermann, Franz-Georg Wieland, Jens Timmer, Daniel Memmert and Ashwin Phatak.pdf
[2022] Transfer Portal- Accurately Forecasting the Impact of a Player Transfer in Soccer by Daniel Dinsdale and Joe Gallagher.pdf
[2022] un-xPass Measuring Soccer Player’s Creativity by Pieter Robberechts, Maaike Van Roy and Jesse Davis.pdf
[2022] “Estimated Player Impact” (EPI) Quantifying The Effects Of Individual Players On Football Actions Using Hierarchical Statistical Models by Tahmeed Tureen and Sigrid Olthof.pdf