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  "title": "Prediction with expert advice for the Brier game",
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  "id": "0803.0614v4",
  "title": "Fitness, chance, and myths: an objective view on soccer results",
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  "keywords": [
   "time series"
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  "id": "0807.1759v5",
  "title": "New Mechanics of Generic Musculo-Skeletal Injury",
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  "keywords": [
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  "id": "0909.4555v1",
  "title": "Soccer matches as experiments: how often does the 'best' team win?",
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  "id": "0912.2302v1",
  "title": "Synthesis of supervised classification algorithm using intelligent and statistical tools",
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   "formation / tactics"
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  "id": "1001.2854v1",
  "title": "Dynamics of tournaments: the soccer case",
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   "tournaments"
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  "id": "1002.0797v2",
  "title": "Soccer: is scoring goals a predictable Poissonian process?",
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  "id": "1102.5549v4",
  "title": "Instant Replay: Investigating statistical Analysis in Sports",
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  "keywords": [
   "Bayesian methods"
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  "id": "1102.5728v1",
  "title": "Named Entity Recognition Using Web Document Corpus",
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  "title": "Relative locality and the soccer ball problem",
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  "id": "1202.3728v1",
  "title": "Reasoning about RoboCup Soccer Narratives",
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  "id": "1206.6814v1",
  "title": "An Empirical Comparison of Algorithms for Aggregating Expert Predictions",
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  "id": "1207.0700v1",
  "title": "A statistical view on team handball results: home advantage, team fitness and prediction of match outcomes",
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   "time series"
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  "id": "1207.4471v1",
  "title": "How does the past of a soccer match influence its future?",
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   "match",
   "soccer"
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  "title": "Towards the perfect prediction of soccer matches",
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  "keywords": [
   "formation / tactics"
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  "id": "1207.6430v2",
  "title": "Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs",
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  "keywords": [
   "formation / tactics",
   "player performance evaluation",
   "dataset / benchmark",
   "clustering / unsupervised"
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  "id": "1208.4398v1",
  "title": "A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities",
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  "keywords": [
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  "id": "1210.4854v1",
  "title": "Semantic Understanding of Professional Soccer Commentaries",
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  "keywords": [
   "dataset / benchmark"
  ]
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  "id": "1211.2719v2",
  "title": "Quantum Consciousness Soccer Simulator",
  "year": "2012",
  "keywords": [
   "simulated / robotics soccer"
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  "id": "1211.3578v2",
  "title": "Chiral Perturbation Theory and the $\\bar B \\bar B$ Strong Interaction",
  "year": "2012",
  "keywords": [
   "player performance evaluation"
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  "id": "1212.1570v1",
  "title": "A simple method for decision making in robocup soccer simulation 3d environment",
  "year": "2012",
  "keywords": [
   "simulated / robotics soccer"
  ]
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  "id": "1305.6568v1",
  "title": "Reinforcement Learning for the Soccer Dribbling Task",
  "year": "2013",
  "keywords": [
   "reinforcement learning",
   "possession analysis"
  ]
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  "id": "1403.7993v1",
  "title": "A Markovian model for association football possession and its outcomes",
  "year": "2014",
  "keywords": [
   "possession analysis"
  ]
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  "id": "1404.2885v1",
  "title": "A Networks and Machine Learning Approach to Determine the Best College Coaches of the 20th-21st Centuries",
  "year": "2014",
  "keywords": [
   "network science / graph analysis"
  ]
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  "id": "1404.3170v2",
  "title": "Dynamics of a soccer ball",
  "year": "2014",
  "keywords": [
   "dynamics",
   "soccer"
  ]
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  "id": "1407.5093v1",
  "title": "Classification of Passes in Football Matches using Spatiotemporal Data",
  "year": "2014",
  "keywords": [
   "spatio-temporal modeling"
  ]
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  "id": "1407.7891v1",
  "title": "Planck-scale soccer-ball problem: a case of mistaken identity",
  "year": "2014",
  "keywords": [
   "identity",
   "mistaken",
   "planck-scale",
   "problem",
   "soccer-ball"
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  "id": "1409.0308v1",
  "title": "Searching for a Unique Style in Soccer",
  "year": "2014",
  "keywords": [
   "passing networks",
   "network science / graph analysis"
  ]
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  "id": "1411.1243v1",
  "title": "Using Twitter to predict football outcomes",
  "year": "2014",
  "keywords": [
   "formation / tactics"
  ]
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  "id": "1411.6496v1",
  "title": "Automatic Summarization of Soccer Highlights Using Audio-visual Descriptors",
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  "keywords": [
   "formation / tactics"
  ]
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  "id": "1501.06881v2",
  "title": "On convergence to a football",
  "year": "2015",
  "keywords": [
   "convergence",
   "football"
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  "id": "1502.05886v1",
  "title": "On predictability of rare events leveraging social media: a machine learning perspective",
  "year": "2015",
  "keywords": [
   "formation / tactics",
   "betting / odds"
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  "id": "1503.03948v2",
  "title": "In vivo evaluation of wearable head impact sensors",
  "year": "2015",
  "keywords": [
   "evaluation",
   "impact",
   "sensors",
   "wearable"
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  "id": "1508.02171v1",
  "title": "Automatic Extraction of the Passing Strategies of Soccer Teams",
  "year": "2015",
  "keywords": [
   "formation / tactics",
   "possession analysis"
  ]
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  "id": "1511.06262v1",
  "title": "Seasonal Linear Predictivity in National Football Championships",
  "year": "2015",
  "keywords": [
   "championships",
   "football",
   "linear",
   "national",
   "predictivity"
  ]
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  "id": "1603.05583v1",
  "title": "Analyzing In-Game Movements of Soccer Players at Scale",
  "year": "2016",
  "keywords": [
   "player tracking",
   "formation / tactics",
   "dataset / benchmark"
  ]
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  "id": "1604.02715v1",
  "title": "Soccer Field Localization from a Single Image",
  "year": "2016",
  "keywords": [
   "computer vision"
  ]
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  "id": "1604.05016v2",
  "title": "Status Report of the GERDA Phase II Startup",
  "year": "2016",
  "keywords": [
   "expected goals (xG)"
  ]
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  "id": "1604.05790v1",
  "title": "Position Prediction of Ball and Fuzzy Controller for Shooting Action in A Soccer Robot System",
  "year": "2016",
  "keywords": [
   "shot analysis"
  ]
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  "id": "1606.00285v1",
  "title": "Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies",
  "year": "2016",
  "keywords": [
   "simulated / robotics soccer"
  ]
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  "id": "1606.02253v2",
  "title": "How to flatten a soccer ball",
  "year": "2016",
  "keywords": [
   "flatten",
   "soccer"
  ]
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  "id": "1608.03532v1",
  "title": "QPass: a Merit-based Evaluation of Soccer Passes",
  "year": "2016",
  "keywords": [
   "possession analysis",
   "player performance evaluation"
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  "id": "1609.01176v1",
  "title": "The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions",
  "year": "2016",
  "keywords": [
   "player performance evaluation"
  ]
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  "id": "1609.05559v1",
  "title": "Opponent Modeling in Deep Reinforcement Learning",
  "year": "2016",
  "keywords": [
   "reinforcement learning",
   "simulated / robotics soccer"
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  "id": "1609.07480v1",
  "title": "Predictive modelling of football injuries",
  "year": "2016",
  "keywords": [
   "injury prediction",
   "dataset / benchmark"
  ]
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  "id": "1610.00825v1",
  "title": "Predict genome-scale fluxes based solely on enzyme abundance by a novel Hyper-Cube Shrink Algorithm",
  "year": "2016",
  "keywords": [
   "expected goals (xG)"
  ]
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  "id": "1702.00585v1",
  "title": "The temporalized Massey's method",
  "year": "2017",
  "keywords": [
   "dataset / benchmark"
  ]
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  "id": "1702.05662v4",
  "title": "Spatial modeling of shot conversion in soccer to single out goalscoring ability",
  "year": "2017",
  "keywords": [
   "Bayesian methods",
   "shot analysis",
   "player performance evaluation"
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  "id": "1703.03385v1",
  "title": "Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis",
  "year": "2017",
  "keywords": [
   "formation / tactics"
  ]
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  "id": "1703.04115v2",
  "title": "BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning",
  "year": "2017",
  "keywords": [
   "formation / tactics",
   "dataset / benchmark",
   "simulated / robotics soccer"
  ]
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  "id": "1705.00885v3",
  "title": "Quantifying the relation between performance and success in soccer",
  "year": "2017",
  "keywords": [
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   "performance",
   "quantifying",
   "relation",
   "soccer"
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  "id": "1705.04356v1",
  "title": "Comparing probabilistic predictive models applied to football",
  "year": "2017",
  "keywords": [
   "Bayesian methods"
  ]
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  "id": "1705.08079v2",
  "title": "Effective injury forecasting in soccer with GPS training data and machine learning",
  "year": "2017",
  "keywords": [
   "injury prediction",
   "explainable AI"
  ]
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  "id": "1705.09575v3",
  "title": "Ranking soccer teams on basis of their current strength: a comparison of maximum likelihood approaches",
  "year": "2017",
  "keywords": [
   "match outcome prediction",
   "formation / tactics"
  ]
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  "id": "1706.02447v1",
  "title": "Luck is Hard to Beat: The Difficulty of Sports Prediction",
  "year": "2017",
  "keywords": [
   "player performance evaluation"
  ]
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  "id": "1706.04336v1",
  "title": "Predictive modelling of training loads and injury in Australian football",
  "year": "2017",
  "keywords": [
   "injury prediction"
  ]
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  "id": "1706.04943v1",
  "title": "Plus-Minus Player Ratings for Soccer",
  "year": "2017",
  "keywords": [
   "expected goals (xG)",
   "match outcome prediction"
  ]
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  "id": "1706.06122v2",
  "title": "VAIN: Attentional Multi-agent Predictive Modeling",
  "year": "2017",
  "keywords": [
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   "modeling",
   "multi-agent",
   "predictive"
  ]
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  "id": "1706.09193v1",
  "title": "A Parameterized Approach to Personalized Variable Length Summarization of Soccer Matches",
  "year": "2017",
  "keywords": [
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   "length",
   "matches",
   "parameterized",
   "personalized"
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  "id": "1707.05481v2",
  "title": "A Comparative Analysis of Social Network Pages by Interests of Their Followers",
  "year": "2017",
  "keywords": [
   "network science / graph analysis",
   "deep learning"
  ]
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  "id": "1708.05821v1",
  "title": "Analysing Soccer Games with Clustering and Conceptors",
  "year": "2017",
  "keywords": [
   "deep learning",
   "formation / tactics",
   "clustering / unsupervised"
  ]
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  "id": "1711.01703v1",
  "title": "RoboCupSimData: A RoboCup soccer research dataset",
  "year": "2017",
  "keywords": [
   "formation / tactics",
   "dataset / benchmark",
   "simulated / robotics soccer"
  ]
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  "id": "1711.05865v2",
  "title": "Pricing Football Players using Neural Networks",
  "year": "2017",
  "keywords": [
   "deep learning"
  ]
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  "id": "1712.07893v2",
  "title": "A Deep Policy Inference Q-Network for Multi-Agent Systems",
  "year": "2017",
  "keywords": [
   "reinforcement learning"
  ]
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  "id": "1801.09005v1",
  "title": "A Two-point Method for PTZ Camera Calibration in Sports",
  "year": "2018",
  "keywords": [
   "dataset / benchmark",
   "game state reconstruction"
  ]
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  "id": "1802.00002v1",
  "title": "DxNAT - Deep Neural Networks for Explaining Non-Recurring Traffic Congestion",
  "year": "2018",
  "keywords": [
   "deep learning",
   "dataset / benchmark"
  ]
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  "id": "1802.03308v10",
  "title": "Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power",
  "year": "2018",
  "keywords": [
   "deep learning",
   "player performance evaluation",
   "simulated / robotics soccer",
   "time series"
  ]
 },
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  "id": "1802.04987v3",
  "title": "PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach",
  "year": "2018",
  "keywords": [
   "player performance evaluation",
   "dataset / benchmark"
  ]
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  "id": "1802.07127v2",
  "title": "Actions Speak Louder Than Goals: Valuing Player Actions in Soccer",
  "year": "2018",
  "keywords": [
   "formation / tactics",
   "player valuation / transfers",
   "player performance evaluation"
  ]
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  "id": "1803.07981v1",
  "title": "A time-dependent scoring system for soccer leagues",
  "year": "2018",
  "keywords": [
   "leagues",
   "scoring",
   "soccer",
   "system",
   "time-dependent"
  ]
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  "id": "1804.04527v2",
  "title": "SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos",
  "year": "2018",
  "keywords": [
   "action recognition / event detection",
   "dataset / benchmark"
  ]
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  "id": "1805.05009v1",
  "title": "Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories",
  "year": "2018",
  "keywords": [
   "explainable AI",
   "spatio-temporal modeling",
   "clustering / unsupervised"
  ]
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  "id": "1805.10933v2",
  "title": "Analysis of association football playing styles: an innovative method to cluster networks",
  "year": "2018",
  "keywords": [
   "formation / tactics",
   "clustering / unsupervised"
  ]
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  "id": "1806.00890v1",
  "title": "Soccer on Your Tabletop",
  "year": "2018",
  "keywords": [
   "computer vision",
   "dataset / benchmark"
  ]
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  "id": "1806.01114v11",
  "title": "A comparison of penalty shootout designs in soccer",
  "year": "2018",
  "keywords": [
   "comparison",
   "designs",
   "penalty",
   "shootout",
   "soccer"
  ]
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  "id": "1806.01595v1",
  "title": "A penalty criterion for score forecasting in soccer",
  "year": "2018",
  "keywords": [
   "criterion",
   "forecasting",
   "penalty",
   "score",
   "soccer"
  ]
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  "id": "1806.03208v3",
  "title": "Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters",
  "year": "2018",
  "keywords": [
   "formation / tactics"
  ]
 },
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  "id": "1807.01623v2",
  "title": "Modeling outcomes of soccer matches",
  "year": "2018",
  "keywords": [
   "matches",
   "modeling",
   "outcomes",
   "soccer"
  ]
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  "id": "1807.05059v1",
  "title": "Cyber-Physical System for Energy-Efficient Stadium Operation: Methodology and Experimental Validation",
  "year": "2018",
  "keywords": [
   "cyber-physical",
   "energy-efficient",
   "experimental",
   "methodology",
   "operation"
  ]
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  "id": "1807.05597v1",
  "title": "Deep Learning for Semantic Segmentation on Minimal Hardware",
  "year": "2018",
  "keywords": [
   "deep learning",
   "simulated / robotics soccer"
  ]
 },
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  "id": "1807.07536v5",
  "title": "A Skellam Regression Model for Quantifying Positional Value in Soccer",
  "year": "2018",
  "keywords": [
   "player performance evaluation",
   "dataset / benchmark"
  ]
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  "id": "1808.04550v1",
  "title": "SciSports: Learning football kinematics through two-dimensional tracking data",
  "year": "2018",
  "keywords": [
   "formation / tactics",
   "explainable AI"
  ]
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  "id": "1809.02854v1",
  "title": "Learning Sports Camera Selection from Internet Videos",
  "year": "2018",
  "keywords": [
   "computer vision",
   "formation / tactics",
   "dataset / benchmark"
  ]
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  "id": "1809.04928v1",
  "title": "Grown-up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions",
  "year": "2018",
  "keywords": [
   "simulated / robotics soccer"
  ]
 },
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  "id": "1809.05173v1",
  "title": "Distinguishing Between Roles of Football Players in Play-by-play Match Event Data",
  "year": "2018",
  "keywords": [
   "between",
   "distinguishing",
   "event",
   "football",
   "match"
  ]
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  "id": "1809.05361v1",
  "title": "Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo",
  "year": "2018",
  "keywords": [
   "simulated / robotics soccer"
  ]
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  "id": "1809.08039v1",
  "title": "Besov and Triebel-Lizorkin spaces associated with Laguerre expansions of Hermite type",
  "year": "2018",
  "keywords": [
   "expected goals (xG)"
  ]
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  "id": "1809.11051v1",
  "title": "A ROS-based Software Framework for the NimbRo-OP Humanoid Open Platform",
  "year": "2018",
  "keywords": [
   "simulated / robotics soccer"
  ]
 },
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  "id": "1809.11067v1",
  "title": "Hierarchical and State-based Architectures for Robot Behavior Planning and Control",
  "year": "2018",
  "keywords": [
   "simulated / robotics soccer"
  ]
 },
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  "id": "1809.11078v1",
  "title": "A Monocular Vision System for Playing Soccer in Low Color Information Environments",
  "year": "2018",
  "keywords": [
   "computer vision",
   "formation / tactics",
   "simulated / robotics soccer"
  ]
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  "id": "1810.02252v1",
  "title": "Measuring Football Players' On-the-ball Contributions From Passes During Games",
  "year": "2018",
  "keywords": [
   "player performance evaluation"
  ]
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  "id": "1810.07550v1",
  "title": "The Newton Scheme for Deep Learning",
  "year": "2018",
  "keywords": [
   "deep learning",
   "formation / tactics",
   "player performance evaluation"
  ]
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  "id": "1810.08032v1",
  "title": "Augmenting Adjusted Plus-Minus in Soccer with FIFA Ratings",
  "year": "2018",
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  "title": "Valuing Players Over Time",
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  "title": "Observation Centric and Central Distance Recovery on Sports Player Tracking",
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   "formation / tactics",
   "dataset / benchmark"
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  "title": "Postural balance asymmetry and subsequent noncontact lower extremity musculoskeletal injuries among Tunisian soccer players with groin pain: A prospective case control study",
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  "title": "What drives a goalkeepers' decisions?",
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  "title": "Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League",
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  "title": "Predicting Football Match Outcomes with eXplainable Machine Learning and the Kelly Index",
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   "betting / odds",
   "explainable AI",
   "dataset / benchmark"
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  "title": "Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities",
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   "formation / tactics"
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  "title": "Kick-motion Training with DQN in AI Soccer Environment",
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   "formation / tactics"
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  "id": "2212.07397v1",
  "title": "Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning",
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   "formation / tactics"
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  "title": "Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network",
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   "injury prediction",
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  "title": "A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football (Soccer)",
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  "title": "Design and Implementation of A Soccer Ball Detection System with Multiple Cameras",
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  "keywords": [
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   "deep learning"
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  "id": "2302.03426v1",
  "title": "Impact of velocity and impact angle on football shot accuracy during fundamental trainings",
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   "during",
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   "fundamental"
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  "id": "2302.06569v1",
  "title": "Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations",
  "year": "2023",
  "keywords": [
   "graph neural networks",
   "deep learning"
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  "id": "2302.07515v2",
  "title": "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play",
  "year": "2023",
  "keywords": [
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  "id": "2302.09276v1",
  "title": "Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis",
  "year": "2023",
  "keywords": [
   "expected goals (xG)",
   "transformers / LLMs",
   "formation / tactics",
   "possession analysis",
   "spatio-temporal modeling"
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  "id": "2302.10760v1",
  "title": "Potential Penetrative Pass (P3)",
  "year": "2023",
  "keywords": [
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   "potential"
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  "id": "2302.14058v1",
  "title": "Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns",
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  "keywords": [
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   "groups",
   "identification",
   "league"
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  "id": "2303.01318v2",
  "title": "A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports",
  "year": "2023",
  "keywords": [
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  "id": "2303.12401v2",
  "title": "Real-time forecasting within soccer matches through a Bayesian lens",
  "year": "2023",
  "keywords": [
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  "id": "2303.13323v1",
  "title": "Deep Generative Multi-Agent Imitation Model as a Computational Benchmark for Evaluating Human Performance in Complex Interactive Tasks: A Case Study in Football",
  "year": "2023",
  "keywords": [
   "deep learning",
   "dataset / benchmark"
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  "id": "2303.15305v1",
  "title": "Why winning a soccer game is worth 5 points",
  "year": "2023",
  "keywords": [
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   "soccer",
   "winning",
   "worth"
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  "id": "2303.15471v3",
  "title": "Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football",
  "year": "2023",
  "keywords": [
   "reinforcement learning",
   "formation / tactics",
   "explainable AI"
  ]
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  "id": "2303.16648v1",
  "title": "Beating the average: how to generate profit by exploiting the inefficiencies of soccer betting",
  "year": "2023",
  "keywords": [
   "match outcome prediction",
   "betting / odds"
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  "id": "2303.17707v4",
  "title": "Why is plausibility surprisingly problematic as an XAI criterion?",
  "year": "2023",
  "keywords": [
   "expected goals (xG)",
   "explainable AI"
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  "id": "2304.04220v1",
  "title": "Towards Active Learning for Action Spotting in Association Football Videos",
  "year": "2023",
  "keywords": [
   "computer vision",
   "action recognition / event detection",
   "spatio-temporal modeling",
   "dataset / benchmark"
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  "id": "2304.04565v1",
  "title": "SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries",
  "year": "2023",
  "keywords": [
   "computer vision",
   "dataset / benchmark"
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   "player performance evaluation"
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   "league"
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   "dataset / benchmark"
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   "during",
   "football",
   "games",
   "pedestrian"
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   "formation / tactics",
   "dataset / benchmark"
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   "deep learning",
   "betting / odds"
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   "passing networks",
   "network science / graph analysis",
   "formation / tactics"
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   "formation / tactics"
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  "id": "2409.14550v1",
  "title": "Interpretable Nonroutine Network Traffic Prediction with a Case Study",
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   "player valuation / transfers",
   "explainable AI"
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   "deep learning",
   "action recognition / event detection",
   "dataset / benchmark"
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   "deep learning",
   "pose / keypoints",
   "dataset / benchmark",
   "game state reconstruction"
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   "dataset / benchmark"
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  "title": "Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches",
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   "formation / tactics",
   "betting / odds"
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  "id": "2410.17785v2",
  "title": "TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports",
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   "possession analysis",
   "dataset / benchmark"
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  "title": "Revisiting PlayeRank",
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  "id": "2410.21484v1",
  "title": "A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions",
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   "formation / tactics",
   "betting / odds",
   "multimodal",
   "anomaly detection"
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  "id": "2411.08901v1",
  "title": "SoccerGuard: Investigating Injury Risk Factors for Professional Soccer Players with Machine Learning",
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  "title": "Predictive Modeling of Lower-Level English Club Soccer Using Crowd-Sourced Player Valuations",
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   "lower-level",
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   "dataset / benchmark"
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   "deep learning",
   "explainable AI",
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   "dataset / benchmark"
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   "dataset / benchmark",
   "game state reconstruction"
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  "title": "Towards Universal Soccer Video Understanding",
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   "formation / tactics",
   "player performance evaluation",
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   "dataset / benchmark",
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  "title": "Unveiling True Talent: The Soccer Factor Model for Skill Evaluation",
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   "dataset / benchmark"
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  "id": "2412.15517v1",
  "title": "Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning",
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  "title": "Pressing Intensity: An Intuitive Measure for Pressing in Soccer",
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   "possession analysis"
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  "id": "2501.05870v1",
  "title": "A Neighbor-based Approach to Pitch Ownership Models in Soccer",
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   "formation / tactics"
  ]
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  "id": "2501.05873v1",
  "title": "Forecasting Soccer Matches through Distributions",
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   "betting / odds"
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  "id": "2501.09281v2",
  "title": "SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection",
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   "formation / tactics",
   "dataset / benchmark"
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   "formation / tactics",
   "explainable AI"
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  "id": "2502.01613v2",
  "title": "Statistical enhanced learning for modeling and prediction tennis matches at Grand Slam tournaments",
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  "keywords": [
   "explainable AI"
  ]
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  "title": "Revisiting Expected Possession Value in Football: Introducing a Benchmark, U-Net Architecture, and Reward and Risk for Passes",
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   "possession analysis",
   "dataset / benchmark"
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  "title": "OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer",
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   "deep learning",
   "reinforcement learning",
   "formation / tactics",
   "player valuation / transfers",
   "spatio-temporal modeling"
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   "formation / tactics",
   "explainable AI"
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  "id": "2502.04864v2",
  "title": "Redistributing Rewards Across Time and Agents for Multi-Agent Reinforcement Learning",
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   "reinforcement learning",
   "explainable AI",
   "player performance evaluation",
   "dataset / benchmark"
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  "title": "Soccer Goalkeeper Performance Evaluation: Clustering Approach",
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   "clustering / unsupervised"
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  "id": "2502.07528v3",
  "title": "Forecasting the future development in quality and value of professional football players",
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   "player valuation / transfers",
   "explainable AI",
   "time series"
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  "title": "Game State and Spatio-temporal Action Detection in Soccer using Graph Neural Networks and 3D Convolutional Networks",
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   "computer vision",
   "deep learning",
   "formation / tactics",
   "action recognition / event detection",
   "spatio-temporal modeling"
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  "title": "Real Time Offside Detection using a Single Camera in Soccer",
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   "detection",
   "offside",
   "single",
   "soccer"
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   "reinforcement learning",
   "dataset / benchmark"
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  "title": "Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States",
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   "expected goals (xG)",
   "dataset / benchmark"
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  "title": "Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System",
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  "keywords": [
   "expected goals (xG)",
   "network science / graph analysis",
   "graph neural networks",
   "transformers / LLMs",
   "player performance evaluation"
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  "title": "Multi-Stage Generative Upscaler: Reconstructing Football Broadcast Images via Diffusion Models",
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  "keywords": [
   "dataset / benchmark"
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  "id": "2503.11726v1",
  "title": "SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks",
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   "graph neural networks",
   "deep learning",
   "reinforcement learning"
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  "id": "2503.11815v2",
  "title": "Movement Dynamics in Elite Female Soccer Athletes: The Quantile Cube Approach",
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  "keywords": [
   "explainable AI"
  ]
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  "id": "2503.13077v2",
  "title": "Improving Sample Efficiency in Multi-Agent Reinforcement Learning for Simulated Football Games via Exploration",
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  "keywords": [
   "reinforcement learning",
   "shot analysis"
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  "id": "2503.13969v2",
  "title": "SoccerSynth Field: enhancing field detection with synthetic data from virtual soccer simulator",
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  "keywords": [
   "dataset / benchmark"
  ]
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  "id": "2503.14637v3",
  "title": "KINESIS: Motion Imitation for Human Musculoskeletal Locomotion",
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  "keywords": [
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   "dataset / benchmark",
   "simulated / robotics soccer"
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  "id": "2503.16557v1",
  "title": "Investigating Cultural Dimensions and Technological Acceptance: The Adoption of Electronic Performance and Tracking Systems in Qatar's Football Sector",
  "year": "2025",
  "keywords": [
   "formation / tactics",
   "dataset / benchmark"
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  "id": "2503.18589v2",
  "title": "Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling",
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  "keywords": [
   "deep learning",
   "dataset / benchmark",
   "multimodal"
  ]
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  "id": "2503.19809v1",
  "title": "Simulating Tracking Data to Advance Sports Analytics Research",
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  "keywords": [
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  "id": "2504.00767v1",
  "title": "Automated Explanation of Machine Learning Models of Footballing Actions in Words",
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  "keywords": [
   "expected goals (xG)",
   "transformers / LLMs"
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  "id": "2504.02184v2",
  "title": "Model Predictive Control with Visibility Graphs for Humanoid Path Planning and Tracking Against Adversarial Opponents",
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  "keywords": [
   "simulated / robotics soccer"
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  "id": "2504.06357v1",
  "title": "From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction",
  "year": "2025",
  "keywords": [
   "re-identification",
   "computer vision",
   "formation / tactics",
   "game state reconstruction"
  ]
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  "id": "2504.09499v2",
  "title": "Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning",
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  "keywords": [
   "Bayesian methods"
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  "id": "2504.12021v1",
  "title": "Action Anticipation from SoccerNet Football Video Broadcasts",
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   "transformers / LLMs",
   "formation / tactics",
   "action recognition / event detection",
   "dataset / benchmark"
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  "id": "2504.13286v1",
  "title": "A Model Predictive Control Approach for Quadrotor Cruise Control",
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  "keywords": [
   "expected goals (xG)"
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  "id": "2504.16572v1",
  "title": "Bridging Data Gaps and Building Knowledge Networks in Indian Football Analytics",
  "year": "2025",
  "keywords": [
   "player tracking"
  ]
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  "id": "2504.17365v3",
  "title": "TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation",
  "year": "2025",
  "keywords": [
   "computer vision",
   "transformers / LLMs",
   "multimodal"
  ]
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  "id": "2504.19612v2",
  "title": "When Should Team KPIs Be Absolute or Relative for Match-Outcome Prediction?",
  "year": "2025",
  "keywords": [
   "formation / tactics"
  ]
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  "id": "2504.20808v2",
  "title": "SoccerDiffusion: Toward Learning End-to-End Humanoid Robot Soccer from Gameplay Recordings",
  "year": "2025",
  "keywords": [
   "transformers / LLMs",
   "reinforcement learning",
   "formation / tactics",
   "dataset / benchmark",
   "simulated / robotics soccer",
   "multimodal"
  ]
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  "id": "2505.03735v2",
  "title": "Multi-Agent System for Comprehensive Soccer Understanding",
  "year": "2025",
  "keywords": [
   "transformers / LLMs",
   "player performance evaluation",
   "dataset / benchmark",
   "multimodal"
  ]
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  "id": "2505.09455v1",
  "title": "Beyond Pixels: Leveraging the Language of Soccer to Improve Spatio-Temporal Action Detection in Broadcast Videos",
  "year": "2025",
  "keywords": [
   "computer vision",
   "transformers / LLMs",
   "formation / tactics",
   "action recognition / event detection",
   "spatio-temporal modeling"
  ]
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  "id": "2505.13834v2",
  "title": "Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams",
  "year": "2025",
  "keywords": [
   "reinforcement learning"
  ]
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  "id": "2505.13860v2",
  "title": "Domain Adaptation of VLM for Soccer Video Understanding",
  "year": "2025",
  "keywords": [
   "computer vision",
   "transformers / LLMs",
   "dataset / benchmark",
   "multimodal"
  ]
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  "id": "2505.16630v1",
  "title": "SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding",
  "year": "2025",
  "keywords": [
   "computer vision",
   "explainable AI",
   "dataset / benchmark",
   "multimodal"
  ]
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  "id": "2506.04251v4",
  "title": "Language-Driven Coordination and Learning in Multi-Agent Simulation Environments",
  "year": "2025",
  "keywords": [
   "transformers / LLMs",
   "reinforcement learning",
   "formation / tactics"
  ]
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  "id": "2506.06666v1",
  "title": "Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering",
  "year": "2025",
  "keywords": [
   "formation / tactics",
   "player valuation / transfers",
   "explainable AI",
   "clustering / unsupervised"
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  "id": "2506.07981v1",
  "title": "Real-time Localization of a Soccer Ball from a Single Camera",
  "year": "2025",
  "keywords": [
   "dataset / benchmark"
  ]
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  "id": "2506.11399v1",
  "title": "Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process",
  "year": "2025",
  "keywords": [
   "formation / tactics"
  ]
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  "id": "2506.17144v2",
  "title": "Do We Need Large VLMs for Spotting Soccer Actions?",
  "year": "2025",
  "keywords": [
   "transformers / LLMs",
   "formation / tactics",
   "action recognition / event detection"
  ]
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  "id": "2506.21784v1",
  "title": "MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models",
  "year": "2025",
  "keywords": [
   "transformers / LLMs",
   "dataset / benchmark"
  ]
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  "title": "Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection",
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  "title": "SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence",
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  "title": "Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots",
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  "title": "Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks",
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  "title": "Multi-Agent Reinforcement Learning and Real-Time Decision-Making in Robotic Soccer for Virtual Environments",
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  "title": "Spot The Ball: A Benchmark for Visual Social Inference",
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}