Editorial: Big data and data science in sport.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 1, doi. 10.1007/s10479-023-05344-z
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Works matching IS 02545330 AND DT 2023 AND VI 325 AND IP 1
Results: 33
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Clustering of variables methods and measurement models for soccer players' performances.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 37, doi. 10.1007/s10479-023-05185-w
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3
Estimation of player aging curves using regression and imputation.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 681, doi. 10.1007/s10479-022-05127-y
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Sports analytics in the NFL: classifying the winner of the superbowl.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 715, doi. 10.1007/s10479-022-05063-x
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5
Who's watching? Classifying sports viewers on social live streaming services.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 743, doi. 10.1007/s10479-022-05062-y
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Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 261, doi. 10.1007/s10479-022-05027-1
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7
An extension of correspondence analysis based on the multiple Taguchi's index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 219, doi. 10.1007/s10479-022-04803-3
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8
Spatial performance analysis in basketball with CART, random forest and extremely randomized trees.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 495, doi. 10.1007/s10479-022-04784-3
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9
A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 589, doi. 10.1007/s10479-022-04947-2
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10
A Bayesian network to analyse basketball players' performances: a multivariate copula-based approach.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 419, doi. 10.1007/s10479-022-04871-5
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11
Dyadic analysis for multi-block data in sport surveys analytics.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 701, doi. 10.1007/s10479-022-04864-4
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12
Service quality in football tourism: an evaluation model based on online reviews and data envelopment analysis with linguistic distribution assessments.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 185, doi. 10.1007/s10479-022-04992-x
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13
Home advantage and mispricing in indoor sports' ghost games: the case of European basketball.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 391, doi. 10.1007/s10479-022-04950-7
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14
Influence of Red and Yellow cards on team performance in elite soccer.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 149, doi. 10.1007/s10479-022-04733-0
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15
Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 289, doi. 10.1007/s10479-022-04726-z
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16
Betting market efficiency and prediction in binary choice models.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 135, doi. 10.1007/s10479-022-04722-3
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17
Football tracking data: a copula-based hidden Markov model for classification of tactics in football.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 167, doi. 10.1007/s10479-022-04660-0
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18
Measuring players' importance in basketball using the generalized Shapley value.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 441, doi. 10.1007/s10479-022-04653-z
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19
Complex networks for community detection of basketball players.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 363, doi. 10.1007/s10479-022-04647-x
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20
A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league "Serie A".
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 85, doi. 10.1007/s10479-022-04609-3
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21
A new model for predicting the winner in tennis based on the eigenvector centrality.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 615, doi. 10.1007/s10479-022-04594-7
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22
Will more skills become a burden? The effect of positional ambiguity on player and team performance.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 467, doi. 10.1007/s10479-022-04588-5
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23
Analysing a built-in advantage in asymmetric darts contests using causal machine learning.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 649, doi. 10.1007/s10479-022-04563-0
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24
A robust method for clustering football players with mixed attributes.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 9, doi. 10.1007/s10479-022-04558-x
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25
Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 319, doi. 10.1007/s10479-022-04541-6
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26
Simulation-based decision making in the NFL using NFLSimulatoR.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 731, doi. 10.1007/s10479-022-04524-7
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27
The analysis of serve decisions in tennis using Bayesian hierarchical models.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 633, doi. 10.1007/s10479-021-04481-7
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28
Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 557, doi. 10.1007/s10479-021-04476-4
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29
Community detection in attributed networks for global transfer market.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 57, doi. 10.1007/s10479-021-04439-9
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30
Filtering active moments in basketball games using data from players tracking systems.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 521, doi. 10.1007/s10479-021-04391-8
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31
Does luck play a role in the determination of the rank positions in football leagues? A study of Europe's 'big five'.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 245, doi. 10.1007/s10479-021-04369-6
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32
Result-based talent identification in road cycling: discovering the next Eddy Merckx.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 539, doi. 10.1007/s10479-021-04280-0
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33
Forecasting binary outcomes in soccer.
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- Annals of Operations Research, 2023, v. 325, n. 1, p. 115, doi. 10.1007/s10479-021-04224-8
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