| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach
|
D’Urso, Pierpalo
|
|
|
325 |
1 |
p. 419-440
|
artikel
|
| 2 |
A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise
|
Weigend, Fabian C.
|
|
|
325 |
1 |
p. 589-613
|
artikel
|
| 3 |
Analysing a built-in advantage in asymmetric darts contests using causal machine learning
|
Goller, Daniel
|
|
|
325 |
1 |
p. 649-679
|
artikel
|
| 4 |
A new model for predicting the winner in tennis based on the eigenvector centrality
|
Arcagni, Alberto
|
|
|
325 |
1 |
p. 615-632
|
artikel
|
| 5 |
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
|
D’Ambra, Antonello
|
|
|
325 |
1 |
p. 219-244
|
artikel
|
| 6 |
A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league “Serie A"
|
Ficcadenti, Valerio
|
|
|
325 |
1 |
p. 85-113
|
artikel
|
| 7 |
A robust method for clustering football players with mixed attributes
|
D’Urso, Pierpaolo
|
|
|
325 |
1 |
p. 9-36
|
artikel
|
| 8 |
Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework
|
Srivastava, Praveen Ranjan
|
|
|
325 |
1 |
p. 319-361
|
artikel
|
| 9 |
Betting market efficiency and prediction in binary choice models
|
Koning, Ruud H.
|
|
|
325 |
1 |
p. 135-148
|
artikel
|
| 10 |
Clustering of variables methods and measurement models for soccer players’ performances
|
Carpita, Maurizio
|
|
|
325 |
1 |
p. 37-56
|
artikel
|
| 11 |
Community detection in attributed networks for global transfer market
|
Clemente, G. P.
|
|
|
325 |
1 |
p. 57-83
|
artikel
|
| 12 |
Complex networks for community detection of basketball players
|
Chessa, Alessandro
|
|
|
325 |
1 |
p. 363-389
|
artikel
|
| 13 |
Does luck play a role in the determination of the rank positions in football leagues? A study of Europe’s ‘big five’
|
Sarkar, Sumit
|
|
|
325 |
1 |
p. 245-260
|
artikel
|
| 14 |
Dyadic analysis for multi-block data in sport surveys analytics
|
Iannario, Maria
|
|
|
325 |
1 |
p. 701-714
|
artikel
|
| 15 |
Editorial: Big data and data science in sport
|
D’Urso, Pierpaolo
|
|
|
325 |
1 |
p. 1-7
|
artikel
|
| 16 |
Estimation of player aging curves using regression and imputation
|
Schuckers, Michael
|
|
|
325 |
1 |
p. 681-699
|
artikel
|
| 17 |
Filtering active moments in basketball games using data from players tracking systems
|
Facchinetti, Tullio
|
|
|
325 |
1 |
p. 521-538
|
artikel
|
| 18 |
Football tracking data: a copula-based hidden Markov model for classification of tactics in football
|
Ötting, Marius
|
|
|
325 |
1 |
p. 167-183
|
artikel
|
| 19 |
Forecasting binary outcomes in soccer
|
Mattera, Raffaele
|
|
|
325 |
1 |
p. 115-134
|
artikel
|
| 20 |
Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball
|
De Angelis, Luca
|
|
|
325 |
1 |
p. 391-418
|
artikel
|
| 21 |
Influence of Red and Yellow cards on team performance in elite soccer
|
Badiella, Llorenç
|
|
|
325 |
1 |
p. 149-165
|
artikel
|
| 22 |
Measuring players’ importance in basketball using the generalized Shapley value
|
Metulini, Rodolfo
|
|
|
325 |
1 |
p. 441-465
|
artikel
|
| 23 |
Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm
|
Jha, Apurva
|
|
|
325 |
1 |
p. 289-317
|
artikel
|
| 24 |
Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents
|
Janssens, Bram
|
|
|
325 |
1 |
p. 557-588
|
artikel
|
| 25 |
Result-based talent identification in road cycling: discovering the next Eddy Merckx
|
Van Bulck, David
|
|
|
325 |
1 |
p. 539-556
|
artikel
|
| 26 |
Service quality in football tourism: an evaluation model based on online reviews and data envelopment analysis with linguistic distribution assessments
|
Darko, Adjei Peter
|
|
|
325 |
1 |
p. 185-218
|
artikel
|
| 27 |
Simulation-based decision making in the NFL using NFLSimulatoR
|
Williams, Benjamin
|
|
|
325 |
1 |
p. 731-742
|
artikel
|
| 28 |
Spatial performance analysis in basketball with CART, random forest and extremely randomized trees
|
Zuccolotto, Paola
|
|
|
325 |
1 |
p. 495-519
|
artikel
|
| 29 |
Sports analytics in the NFL: classifying the winner of the superbowl
|
Roumani, Yazan F.
|
|
|
325 |
1 |
p. 715-730
|
artikel
|
| 30 |
The analysis of serve decisions in tennis using Bayesian hierarchical models
|
Tea, Peter
|
|
|
325 |
1 |
p. 633-648
|
artikel
|
| 31 |
Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach
|
Puram, Praveen
|
|
|
325 |
1 |
p. 261-288
|
artikel
|
| 32 |
Who’s watching? Classifying sports viewers on social live streaming services
|
Liu, Haoyu
|
|
|
325 |
1 |
p. 743-765
|
artikel
|
| 33 |
Will more skills become a burden? The effect of positional ambiguity on player and team performance
|
Wang, Jiangang
|
|
|
325 |
1 |
p. 467-493
|
artikel
|
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