Research graph
References from Forecasting sports outcomes through machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units
10.1016/j.gaitpost.2025.01.028 · 2025 · External reference
Winner prediction in an ongoing one day international cricket match
10.3233/jsa-220735 · 2024 · External reference
Evolution-based performance prediction of star cricketers
10.32604/cmc.2021.016659 · 2021 · External reference
Basketball lineup performance prediction using edge-centric multi-view network analysis
10.1007/s13278-020-00677-0 · 2020 · External reference
A hybrid machine learning model for predicting USA NBA All-Stars
10.3390/electronics11010097 · 2022 · External reference
SCORE: a convolutional approach for football event forecasting
10.1016/j.ijforecast.2025.02.004 · 2025 · External reference
“Sports analytics algorithms for performance prediction,”
2019 · External reference
Machine learning models on MOBA gaming: league of legends winner prediction
10.26650/acin.1180583 · 2023 · External reference
Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques
10.1186/s40537-024-01008-2 · 2024 · External reference
Cricket match analytics using the big data approach
10.3390/electronics10192350 · 2021 · External reference
E-sports player performance metrics for predicting the outcome of league of legends matches considering player roles
10.1007/s42979-022-01660-6 · 2023 · External reference
What does it take to win or lose a soccer game? A machine learning approach to understand the impact of game and team statistics
10.1080/01605682.2022.2110001 · 2023 · External reference
A novel method for prediction of EuroLeague game results using hybrid feature extraction and machine learning techniques
10.1016/j.chaos.2021.111119 · 2021 · External reference
A deep learning approach based on interpretable feature importance for predicting sports results
10.2478/ijcss-2025-0004 · 2025 · External reference
IPL match prediction using machine learning
2020 · External reference
Are sports seedings good predictors? An evaluation
10.1016/s0169-2070(98)00067-3 · 1999 · External reference
Testing the efficiency of the national football league betting market
10.1080/00036840500368904 · 2006 · External reference
Evaluating national football league draft choices: the passing game
10.1016/j.ijforecast.2009.10.009 · 2010 · External reference
Analyzing game statistics and career trajectories of female elite junior tennis players: a machine learning approach
10.1371/journal.pone.0295075 · 2023 · External reference
A comparative evaluation of Elo ratings- and machine learning-based methods for tennis match result prediction
10.1177/17543371231212235 · 2024 · External reference
A new xG model for football analytics
10.1080/01605682.2024.2323669 · 2025 · External reference
Enhancing basketball team strategies through predictive analytics of player performance
10.3390/electronics14112177 · 2025 · External reference
Football results prediction and machine learning techniques
10.1504/ijbsr.2023.133178 · 2023 · External reference
Powerlifting score prediction using a machine learning method
10.3934/mbe.2021056 · 2021 · External reference
The application of deep learning in sports competition data prediction
10.12694/scpe.v25i6.3307 · 2024 · External reference
Machine learning and data mining on the innovation of e-sports industry
10.46300/9109.2020.14.15 · 2020 · External reference
How could they win? An exploration of win condition for esports narratives in Dota 2
10.1145/3677079 · 2024 · External reference
Artificial intelligence and machine learning in sport research: an introduction for non-data scientists
10.3389/fspor.2021.682287 · 2021 · External reference
Predicting football match outcomes with machine learning approaches
10.13164/mendel.2023.2.229 · 2023 · External reference
Applications of linear and ensemble-based machine learning for predicting winning teams in league of legends
10.3390/app15105241 · 2025 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
A synthetic data-driven machine learning approach for athlete performance attenuation prediction
10.3389/fspor.2025.1607600 · 2025 · External reference
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
10.1007/s10994-024-06585-0 · 2024 · External reference
A comparative analysis of data mining methods in predicting NCAA bowl outcomes
10.1016/j.ijforecast.2011.05.002 · 2012 · External reference
Wearable sensor technology to predict core body temperature: a systematic review
10.3390/s22197639 · 2022 · External reference
Intelligent analysis and predictive modeling of tennis match data
10.2478/amns-2024-1593 · 2024 · External reference
Machine learning approaches to predict the match result: Brazilian futsal league case
2021 · External reference
10.48550/arxiv.2407.15987
10.48550/arxiv.2407.15987 · 2024 · External reference
Predicting handball matches with machine learning and statistically estimated team strengths
10.1177/22150218251313937 · 2025 · External reference
Random forest model identifies serve strength as a key predictor of tennis match outcome
10.3233/jsa-200515 · 2021 · External reference
Anterior cruciate ligament reconstruction recovery and rehabilitation: a systematic review
10.2106/jbjs.21.00688 · 2022 · External reference
Twin transformation as a strategic approach in sport management: the synergy of digitalization and sustainability in sports
10.3389/fspor.2024.1403793 · 2024 · External reference
A machine learning framework for quantifying in-game space-control efficiency in football
10.1016/j.knosys.2023.111123 · 2024 · External reference
Scalable framework for basketball game prediction combining image processing XGBoost and enhanced support vector machine
10.12694/scpe.v26i4.4684 · 2025 · External reference
A random forest-based accuracy prediction model for augmented biofeedback in a precision shooting training system
10.3390/s20164512 · 2020 · External reference
Unresolved reference
External reference
Predicting injury and illness with machine learning in elite youth soccer: a comprehensive monitoring approach over 3 months
10.52082/jssm.2023.476 · 2023 · External reference
Forecasting football injuries by combining screening, monitoring and machine learning
10.1080/24733938.2022.2095006 · 2023 · External reference
Machine learning methods for predicting league of legends game outcome
10.1109/tg.2022.3153086 · 2023 · External reference
Win prediction in multiplayer Esports: live professional match prediction
10.1109/tg.2019.2948469 · 2021 · External reference
Use of machine learning and deep learning to predict the outcomes of major league baseball matches
10.3390/app11104499 · 2021 · External reference
A novel lower extremity non-contact injury risk prediction model based on multimodal fusion and interpretable machine learning
10.3389/fphys.2022.937546 · 2022 · External reference
Beating the market with a bad predictive model
10.1016/j.ijforecast.2022.02.001 · 2023 · External reference
Winner prediction in one day international cricket matches using machine learning framework: an ensemble approach
10.21817/indjcse/2022/v13i3/221303043 · 2022 · External reference
A machine learning approach to predict injury in five-a-side-football
10.1016/j.jts.2023.06.001 · 2023 · External reference
A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directions
10.1186/s13102-025-01294-0 · 2025 · External reference
A systematic review of the relationship between workload and injury risk of professional male soccer players
10.3390/ijerph192013237 · 2022 · External reference
Analysis of the smart player's impact on the success of a team empowered with machine learning
10.32604/cmc.2020.012542 · 2021 · External reference
A learn-to-rank approach for predicting road cycling race outcomes
10.3389/fspor.2021.714107 · 2021 · External reference
Machine-learning-based statistical arbitrage football betting
10.1007/s13218-019-00610-4 · 2020 · External reference
Using support vector regression kernel models for cricket performance prediction in the Womens Premier League 2024
10.17309/tmfv.2024.1.09 · 2024 · External reference
Predictions of European basketball match results with machine learning algorithms
10.3233/jsa-220639 · 2023 · External reference
Application of wearable insole sensors in in-place running: estimating lower limb load using machine learning
10.3390/bios15020083 · 2025 · External reference
Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis
10.1136/bjsports-2024-108576 · 2025 · External reference
Development of machine learning-based indicators for predicting comeback victories using the bounty mechanism in MOBA games
10.3390/electronics14071445 · 2025 · External reference
A big data approach to forecast injuries in professional sports using support vector machine
10.1007/s11036-024-02377-x · 2024 · External reference
A social selection mechanism for sports betting market
10.1016/j.dss.2023.114119 · 2024 · External reference
Less is more: learning insights from a single motion sensor for accurate and explainable soccer goalkeeper kinematics
10.1109/jsen.2021.3094929 · 2021 · External reference
Application of distributed probability model in sports based on deep learning: deep belief network (DL-DBN) algorithm for human behaviour analysis
10.1155/2022/7988844 · 2022 · External reference
Machine learning outperforms logistic regression analysis to predict next-season NHL player injury: an analysis of 2322 players from 2007 to 2017
10.1177/2325967120953404 · 2020 · External reference
A pain free nociceptor: predicting football injuries with machine learning
10.1016/j.smhl.2021.100262 · 2022 · External reference
Application of data mining in basketball statistics
10.2478/amns.2021.2.00182 · 2023 · External reference
Construction of neural network model for exercise load monitoring based on yoga training data and rehabilitation therapy
10.1016/j.heliyon.2024.e32679 · 2024 · External reference
Real-time prediction algorithm and simulation of sports results based on internet of things and machine learning
10.1504/ijitm.2023.131845 · 2023 · External reference
Alternative ranking measures to predict international football results
10.1007/s00180-024-01585-z · 2025 · External reference
Intelligent strategic planning method based algorithm (ISPMA) for estimation of soccer sports match outcome
10.33889/ijmems.2025.10.1.014 · 2025 · External reference
Sports industry 5.0: reimagining sport through technology, humanity, and sustainability
10.3389/fspor.2025.1640362 · 2025 · External reference
Using machine learning techniques for rising star prediction in basketball
10.1016/j.knosys.2020.106506 · 2021 · External reference
Beyond xG: a dual prediction model for analyzing player performance through expected and actual goals in European soccer leagues
10.3390/app142210390 · 2024 · External reference
Classification of all-rounders in limited over cricket - a machine learning approach
10.3233/jsa-200467 · 2020 · External reference
Big data analytics framework for decision-making in sports performance optimization
10.3390/data10070116 · 2025 · External reference
A predictive paradigm for identifying elevated musculoskeletal injury risks after sport-related concussion
10.1016/j.orthtr.2021.11.006 · 2022 · External reference
Diverse machine learning for forecasting goal-scoring likelihood in elite football leagues
10.3390/make6030086 · 2024 · External reference
Applying Data Mining and Machine Learning Techniques to Predict Powerlifting Results†
10.3390/engproc2023039020 · 2023 · External reference
Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm
10.1016/j.aej.2021.08.084 · 2022 · External reference
“An information system for training assessment in sports analytics,”
2024 · External reference
Detecting drivers of basketball successful games: An exploratory study with machine learning algorithms
2020 · External reference
The introduction and application of sports analytics in professional sport organizations
10.7290/jasm06ldmv · 2014 · External reference
A context-enhanced deep learning approach to predict baseball pitch location from ball tracking release metrics
10.1007/s12283-025-00497-5 · 2025 · External reference
Sports analytics and the big-data era
10.1007/s41060-017-0093-7 · 2018 · External reference
Beyond key performance indicators
10.1007/s12662-024-00944-8 · 2024 · External reference
Using artificial intelligence to predict the next deceptive movement based on video sequence analysis: a case study on a professional cricket player's movements
10.1016/j.jer.2025.01.007 · 2025 · External reference
Artificial intelligence usage in prediction of the sports results of athletes competing in Greco-Roman wrestling
2024 · External reference
A proximal policy optimisation algorithm-based algorithm for cardiovascular disorders detection
10.1080/03091902.2025.2471332 · 2025 · External reference
The use of momentum-inspired features in pre-game prediction models for the sport of ice hockey
10.2478/ijcss-2024-0001 · External reference
A comprehensive data pipeline for comparing the effects of momentum on sports leagues
10.3390/data9020029 · External reference
A machine learning and explainability-driven methodology for identifying winning strategies in Rugby union
10.1016/j.dajour.2025.100568 · 2025 · External reference
Automatic shooting detection in archery from acceleration data for score prediction
10.1007/s12283-023-00402-y · 2023 · External reference
Predicting play calls in the national football league using hidden Markov models
10.1093/imaman/dpab005 · 2021 · External reference
The performance analysis of male handball players using tree-based machine learning models
10.13189/saj.2024.120313 · 2024 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
10.31222/osf.io/v7gm2_v1 · 2021 · External reference
An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports
10.1007/s41060-024-00523-y · 2024 · External reference
A mine of information: can sports analytics provide wisdom from your data?
10.1123/ijspp.2016-0644 · 2017 · External reference
Cricket team prediction using machine learning techniques
10.2139/ssrn.3572740 · 2020 · External reference
A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities
10.1016/j.medengphy.2020.02.002 · 2020 · External reference
NBA results forecast: from league dynamics analysis to predictive model implementation
10.2478/ijcss-2025-0006 · 2025 · External reference
A field-based approach to determine soft tissue injury risk in elite futsal using novel machine learning techniques
10.3389/fpsyg.2021.610210 · 2021 · External reference
Predicting team success in the Indian Premier League cricket 2024 season using random forest analysis
10.17309/tmfv.2024.2.16 · 2024 · External reference
Machine learning analysis for predicting performance in female volleyball players in India: implications for talent identification and player development strategies
10.55860/cn2vdj44 · 2025 · External reference
Ligue-Result Prediction Using Machine Learning
10.5373/jardcs/v12sp5/20201817 · 2020 · External reference
Review on wearable technology in sports: concepts, challenges and opportunities
10.3390/app131810399 · 2023 · External reference
Badminton Match Outcome Prediction Model Using Naïve Bayes and Feature Weighting Technique
10.1007/s12652-020-02578-8 · 2021 · External reference
Athletic signature: predicting the next game lineup in collegiate basketball
10.1007/s00521-024-10383-z · 2024 · External reference
NPIPVis: a visualization system involving NBA visual analysis and integrated learning model prediction
10.1016/j.vrih.2022.08.008 · 2022 · External reference
Sport analytics: a review
10.2991/itmr.k.200831.001 · 2020 · External reference
Construction of 2022 Qatar World Cup match result prediction model and analysis of performance indicators
10.3389/fspor.2024.1410632 · 2024 · External reference
A supervised learning model to identify the star potential of a basketball player
10.1111/exsy.12772 · 2022 · External reference
Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework
10.1007/s10479-022-04541-6 · 2023 · External reference
Can social media opinions add value to historical data?: A study for T20I cricket match outcome prediction using machine learning
10.1177/22150218251342185 · 2025 · External reference
A holistic approach to performance prediction in collegiate athletics: player, team, and conference perspectives
10.1038/s41598-024-51658-8 · 2024 · External reference
A machine-learning approach to measure the anterior cruciate ligament injury risk in female basketball players
10.3390/s21093141 · 2021 · External reference
Advancing 100m sprint performance prediction: a machine learning approach to velocity curve modeling and performance correlation
10.1371/journal.pone.0303366 · 2024 · External reference
Players' performance prediction for Fantasy Premier League, using transformer-based sentiment analysis on news and statistical data
10.2478/ijcss-2025-0008 · 2025 · External reference
A study on using machine learning to predict winner in multiplayer online battle arena (MOBA) game
10.55164/ajstr.v27i5.252289 · 2024 · External reference
Unresolved reference
2020 · External reference
Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization [formula presented]
10.1016/j.asoc.2022.109526 · 2022 · External reference
Enhancing sports injury risk assessment in soccer through machine learning and training load analysis
10.52082/jssm.2024.537 · 2024 · External reference
Machine learning methods in sport injury prediction and prevention: a systematic review
10.1186/s40634-021-00346-x · 2021 · External reference
A muscle pennation angle estimation framework from raw ultrasound data for wearable biomedical instrumentation
10.1109/tim.2023.3335535 · 2024 · External reference
Machine learning for sports betting: should model selection be based on accuracy or calibration?
10.2139/ssrn.4705918 · 2024 · External reference
Low-cost badminton trajectory recognition and landing point prediction based on M-YOLOv2 and Kalman filter for optimizing the coordinate system transformation of sites
10.31449/inf.v48i23.6741 · 2024 · External reference
Injury prediction analysis of college basketball players based on FMS scores
10.1504/ijwmc.2024.142087 · 2024 · External reference
Fundamentals of sports analytics
10.1016/j.csm.2018.03.007 · 2018 · External reference
Sports prediction and betting models in the machine learning age: the case of tennis
10.3233/jsa-200463 · 2021 · External reference
Cloud-based deep learning-assisted system for diagnosis of sports injuries
10.1186/s13677-022-00355-w · 2022 · External reference
Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting
10.1007/s10994-024-06651-7 · 2025 · External reference
Forecasting the outcomes of sports events: A review
10.1080/17461391.2020.1793002 · 2020 · External reference
10.48550/arxiv.2402.15862
10.48550/arxiv.2402.15862 · External reference
10.48550/arxiv.2406.12252
10.48550/arxiv.2406.12252 · External reference
Analyzing momentum shifts in tennis: a machine-learning approach to predicting match outcomes
10.3390/app15042018 · 2025 · External reference
Accurately and effectively predict the ACL force: utilizing biomechanical landing pattern before and after-fatigue
10.1016/j.cmpb.2023.107761 · 2023 · External reference
Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees
10.1007/s10994-024-06608-w · 2024 · External reference
Prediction model and technical and tactical decision analysis of women's badminton singles based on machine learning
10.1371/journal.pone.0312801 · 2024 · External reference
A deep learning analysis for the effect of individual player performances on match results
10.1007/s00521-022-07178-5 · 2022 · External reference
A study of forecasting tennis matches via the Glicko model
10.1371/journal.pone.0266838 · 2022 · External reference
A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness
10.1038/s41598-025-87794-y · 2025 · External reference
Enhancing basketball game outcome prediction through fused graph convolutional networks and random forest algorithm
10.3390/e25050765 · 2023 · External reference
A novel explainable artificial intelligence framework using knockoffs techniques with applications to sports analytics
10.1007/s10479-025-06575-y · 2025 · External reference
A new approach to bioceramics based on tissue reaction of tricalcium phosphate for biomedical and sport applications using machine learning modeling
10.1016/j.tice.2025.102899 · 2025 · External reference
Alternative ranking measures to predict international football results
10.1007/s00180-024-01585-z · ExternalCitation · doi-reference
A deep learning analysis for the effect of individual player performances on match results
10.1007/s00521-022-07178-5 · ExternalCitation · doi-reference
Athletic signature: predicting the next game lineup in collegiate basketball
10.1007/s00521-024-10383-z · ExternalCitation · doi-reference
Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework
10.1007/s10479-022-04541-6 · ExternalCitation · doi-reference
A novel explainable artificial intelligence framework using knockoffs techniques with applications to sports analytics
10.1007/s10479-025-06575-y · ExternalCitation · doi-reference
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
10.1007/s10994-024-06585-0 · ExternalCitation · doi-reference
Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees
10.1007/s10994-024-06608-w · ExternalCitation · doi-reference
Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting
10.1007/s10994-024-06651-7 · ExternalCitation · doi-reference
A big data approach to forecast injuries in professional sports using support vector machine
10.1007/s11036-024-02377-x · ExternalCitation · doi-reference
Automatic shooting detection in archery from acceleration data for score prediction
10.1007/s12283-023-00402-y · ExternalCitation · doi-reference
A context-enhanced deep learning approach to predict baseball pitch location from ball tracking release metrics
10.1007/s12283-025-00497-5 · ExternalCitation · doi-reference
Badminton Match Outcome Prediction Model Using Naïve Bayes and Feature Weighting Technique
10.1007/s12652-020-02578-8 · ExternalCitation · doi-reference
Beyond key performance indicators
10.1007/s12662-024-00944-8 · ExternalCitation · doi-reference
Machine-learning-based statistical arbitrage football betting
10.1007/s13218-019-00610-4 · ExternalCitation · doi-reference
Basketball lineup performance prediction using edge-centric multi-view network analysis
10.1007/s13278-020-00677-0 · ExternalCitation · doi-reference
Sports analytics and the big-data era
10.1007/s41060-017-0093-7 · ExternalCitation · doi-reference
An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports
10.1007/s41060-024-00523-y · ExternalCitation · doi-reference
E-sports player performance metrics for predicting the outcome of league of legends matches considering player roles
10.1007/s42979-022-01660-6 · ExternalCitation · doi-reference
Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm
10.1016/j.aej.2021.08.084 · ExternalCitation · doi-reference
Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization [formula presented]
10.1016/j.asoc.2022.109526 · ExternalCitation · doi-reference
A novel method for prediction of EuroLeague game results using hybrid feature extraction and machine learning techniques
10.1016/j.chaos.2021.111119 · ExternalCitation · doi-reference
Accurately and effectively predict the ACL force: utilizing biomechanical landing pattern before and after-fatigue
10.1016/j.cmpb.2023.107761 · ExternalCitation · doi-reference
Fundamentals of sports analytics
10.1016/j.csm.2018.03.007 · ExternalCitation · doi-reference
A machine learning and explainability-driven methodology for identifying winning strategies in Rugby union
10.1016/j.dajour.2025.100568 · ExternalCitation · doi-reference
A social selection mechanism for sports betting market
10.1016/j.dss.2023.114119 · ExternalCitation · doi-reference
A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units
10.1016/j.gaitpost.2025.01.028 · ExternalCitation · doi-reference
Construction of neural network model for exercise load monitoring based on yoga training data and rehabilitation therapy
10.1016/j.heliyon.2024.e32679 · ExternalCitation · doi-reference
Evaluating national football league draft choices: the passing game
10.1016/j.ijforecast.2009.10.009 · ExternalCitation · doi-reference
A comparative analysis of data mining methods in predicting NCAA bowl outcomes
10.1016/j.ijforecast.2011.05.002 · ExternalCitation · doi-reference
Beating the market with a bad predictive model
10.1016/j.ijforecast.2022.02.001 · ExternalCitation · doi-reference
SCORE: a convolutional approach for football event forecasting
10.1016/j.ijforecast.2025.02.004 · ExternalCitation · doi-reference
Using artificial intelligence to predict the next deceptive movement based on video sequence analysis: a case study on a professional cricket player's movements
10.1016/j.jer.2025.01.007 · ExternalCitation · doi-reference
A machine learning approach to predict injury in five-a-side-football
10.1016/j.jts.2023.06.001 · ExternalCitation · doi-reference
Using machine learning techniques for rising star prediction in basketball
10.1016/j.knosys.2020.106506 · ExternalCitation · doi-reference
A machine learning framework for quantifying in-game space-control efficiency in football
10.1016/j.knosys.2023.111123 · ExternalCitation · doi-reference
A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities
10.1016/j.medengphy.2020.02.002 · ExternalCitation · doi-reference
A predictive paradigm for identifying elevated musculoskeletal injury risks after sport-related concussion
10.1016/j.orthtr.2021.11.006 · ExternalCitation · doi-reference
A pain free nociceptor: predicting football injuries with machine learning
10.1016/j.smhl.2021.100262 · ExternalCitation · doi-reference
A new approach to bioceramics based on tissue reaction of tricalcium phosphate for biomedical and sport applications using machine learning modeling
10.1016/j.tice.2025.102899 · ExternalCitation · doi-reference
NPIPVis: a visualization system involving NBA visual analysis and integrated learning model prediction
10.1016/j.vrih.2022.08.008 · ExternalCitation · doi-reference
Are sports seedings good predictors? An evaluation
10.1016/s0169-2070(98)00067-3 · ExternalCitation · doi-reference
A holistic approach to performance prediction in collegiate athletics: player, team, and conference perspectives
10.1038/s41598-024-51658-8 · ExternalCitation · doi-reference
A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness
10.1038/s41598-025-87794-y · ExternalCitation · doi-reference
Testing the efficiency of the national football league betting market
10.1080/00036840500368904 · ExternalCitation · doi-reference
What does it take to win or lose a soccer game? A machine learning approach to understand the impact of game and team statistics
10.1080/01605682.2022.2110001 · ExternalCitation · doi-reference
A new xG model for football analytics
10.1080/01605682.2024.2323669 · ExternalCitation · doi-reference
A proximal policy optimisation algorithm-based algorithm for cardiovascular disorders detection
10.1080/03091902.2025.2471332 · ExternalCitation · doi-reference
Forecasting the outcomes of sports events: A review
10.1080/17461391.2020.1793002 · ExternalCitation · doi-reference
Forecasting football injuries by combining screening, monitoring and machine learning
10.1080/24733938.2022.2095006 · ExternalCitation · doi-reference
Predicting play calls in the national football league using hidden Markov models
10.1093/imaman/dpab005 · ExternalCitation · doi-reference
Less is more: learning insights from a single motion sensor for accurate and explainable soccer goalkeeper kinematics
10.1109/jsen.2021.3094929 · ExternalCitation · doi-reference
Win prediction in multiplayer Esports: live professional match prediction
10.1109/tg.2019.2948469 · ExternalCitation · doi-reference
Machine learning methods for predicting league of legends game outcome
10.1109/tg.2022.3153086 · ExternalCitation · doi-reference
A muscle pennation angle estimation framework from raw ultrasound data for wearable biomedical instrumentation
10.1109/tim.2023.3335535 · ExternalCitation · doi-reference
A supervised learning model to identify the star potential of a basketball player
10.1111/exsy.12772 · ExternalCitation · doi-reference
A mine of information: can sports analytics provide wisdom from your data?
10.1123/ijspp.2016-0644 · ExternalCitation · doi-reference
Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis
10.1136/bjsports-2024-108576 · ExternalCitation · doi-reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · ExternalCitation · doi-reference
How could they win? An exploration of win condition for esports narratives in Dota 2
10.1145/3677079 · ExternalCitation · doi-reference
Application of distributed probability model in sports based on deep learning: deep belief network (DL-DBN) algorithm for human behaviour analysis
10.1155/2022/7988844 · ExternalCitation · doi-reference
A comparative evaluation of Elo ratings- and machine learning-based methods for tennis match result prediction
10.1177/17543371231212235 · ExternalCitation · doi-reference
Predicting handball matches with machine learning and statistically estimated team strengths
10.1177/22150218251313937 · ExternalCitation · doi-reference
Can social media opinions add value to historical data?: A study for T20I cricket match outcome prediction using machine learning
10.1177/22150218251342185 · ExternalCitation · doi-reference
Machine learning outperforms logistic regression analysis to predict next-season NHL player injury: an analysis of 2322 players from 2007 to 2017
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