Search Results - Biermann, H.
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Relative age effect inverts when looking at career performance in elite youth academy soccer
Biermann, H., Memmert, D., Romeike, C., Knäbel, P., Furley, P.Published in Journal of Sports Sciences (2024)“…Biermann, H.…”
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The dual problem of space: Relative player positioning determines attacking success in elite men`s football
Raabe, D., Biermann, H., Bassek, M., Memmert, D., Rein, R.Published in Journal of Sports Sciences (2024)“…Biermann, H.…”
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Towards expected counter - using comprehensible features to predict counterattacks
Biermann, H., Wieland, F. G., Timmer, J., Memmert, D., Phatak, A.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)“…Biermann, H.…”
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Using machine learning pipeline to predict entry into the attack zone in football
Stival, L., Pinto, A., dos Santos Pinto de Andrade, F., Pereira Santiago, P. R., Biermann, H., da Silva Torres, R., Dias, U.Published in PLOS ONE (2023)“…Biermann, H.…”
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A unified taxonomy and multimodal dataset for events in invasion games
Biermann, H., Theiner, J., Bassek, M., Raabe, D., Memmert, D., Ewerth, R.Published in ACM International Conference Proceeding Series (2021)“…Biermann, H.…”
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soccer
attack
tactics
competition
playing position (sport games)
technology
age
analysis
defense
game action
handball
junior elite sport
learning
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mathematic-logical model
measuring procedure
modelling
performance
performance development
playing field
prognosis
ranking
relative age effect
sports game
talent
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