Success-score in professional soccer : validation of a dynamic key performance indicator combining space control and ball control within goalscoring opportunities

von Brinkjans, David (Autor), ... Memmert, Daniel (Autor), Imkamp, Jonas (Autor), Perl, Jürgen (Autor)
Erschienen in International journal of computer science in sport, 21 (2022), 2, S. 32-42, Lit.

In-play forecasting in football using event and positional data

von Klemp, Maximilian (Autor), ... Wunderlich, Fabian (Autor), Memmert, Daniel (Autor)
Erschienen in Scientific reports, 11 (2021), Art.-ID 24139, [10 S.], Lit.

Spielanalyse im Jahr 2020

von Memmert, Daniel (Autor) ...
Erschienen in Spielanalyse im Sportspiel, Berlin: Springer (Verlag), 2022, S. 3-12, Lit.

Flexible defense succeeds creative attacks! : a simulation approach based on position data in professional football

von Memmert, Daniel (Autor), ... Imkamp, Jonas (Autor), Perl, Jürgen (Autor)
Erschienen in Journal of software engineering and applications, 14 (2021), 9, S. 493-504, Lit.

A big data analysis of Twitter data during premier league matches : : do tweets contain information valuable for in-play forecasting of goals in football?

von Wunderlich, Fabian (Autor), ... Memmert, Daniel (Autor)
Erschienen in Social network analysis and mining, 12 (2022), Art.-ID 23, [15 S.], Lit.

An investigation identifying which key performance indicators influence the chances of promotion to the elite leagues in professional European football

von Jamil, Mikael (Autor), ... Liu, Hongyou (Autor), Phatak, Ashwin (Autor), Memmert, Daniel (Autor)
Erschienen in International journal of performance analysis in sport, 21 (2021), 4, S. 641-650, Lit.

Graph representations for the analysis of multi-agent spatiotemporal sports data

von Raabe, Dominik (Autor), ... Nabben, Reinhard (Autor), Memmert, Daniel (Autor)
Erschienen in Applied intelligence : the international journal of artificial intelligence, neural networks, and complex problem-solving technologies, 2023, 53, S. 3783–3803, Lit.

Match analysis : how to use data in professional sport

von Memmert, Daniel (Hrsg.) ... London, New York (N.Y.): Routledge (Verlag), 2021, xiii, 281 S., Lit.

Die Zukunft der Leistungsdiagnostik im Nachwuchsfußball : quantitative Spieldatenanalyse zur Erstellung von positionsspezifischen Anforderungsprofilen und Talentprädiktoren

von Stügelmaier, Michael (Autor), ... Memmert, Daniel (Gutachter) Köln: Wissenschaftlicher Verlag Berlin (Verlag), 2022, XXV, 383 S., Lit.

Match analysis in 2020

von Memmert, Daniel (Autor) ...
Erschienen in Match analysis : how to use data in professional sport, London, New York (N.Y.): Routledge (Verlag), 2021, S. 3-13, Lit.

The dirty league : English Premier League provides higher incentives for fouling as compared to other European soccer leagues

von Phatak, Ashwin A. (Autor), ... Rein, Robert (Autor), Memmert, Daniel (Autor)
Erschienen in Journal of human kinetics, 2021, 80, S. 263–276, Lit.

Analysis and simulation of actions in games by means of special self-organizing maps

von Grunz, Andreas (Autor), ... Memmert, Daniel (Autor), Perl, Jürgen (Autor)
Erschienen in International journal of computer science in sport, 8 (2009), 1, S. 22-36, Lit.

The effect of substitutions on team tactical behavior in professional soccer

von Lorenzo-Martínez, Miguel (Autor), ... Rein, Robert (Autor), Garnica-Caparrós, Marc (Autor), Memmert, Daniel (Autor), Rey, Ezequiel (Autor)
Erschienen in Research quarterly for exercise and sport, 93 (2022), 2, S. 301-309, Lit.

Spielanalyse im Sportspiel

von Memmert, Daniel (Hrsg.) ... Berlin: Springer (Verlag), 2022, XIV, 301 S., Lit.

Determinants of victory in Esports - StarCraft II

von Białecki, Andrzej (Autor), ... Gajewski, Jan (Autor), Białecki, Piotr (Autor), Phatak, Ashwin (Autor), Memmert, Daniel (Autor)
Erschienen in Multimedia tools and applications, 82 (2022), 7, S. 11099–11115, Lit.

Perspektive der Sportinformatik : Verwendung von Big Data am Beispiel Fußball

von Memmert, Daniel (Autor) ...
Erschienen in Wissenschaftsmanagement, 26 (2021), Jahresband 2021, S. 262-268, Lit.

Modeling players’ scanning activity in football

von Pokolm, Marius (Autor), ... Rein, Robert (Autor), Müller, Daniel (Autor), Nopp, Stephan (Autor), Kirchhain, Marie (Autor), Aksum, Karl Marius (Autor), Jordet, Geir (Autor), Memmert, Daniel (Autor)
Erschienen in Journal of sport and exercise psychology, 44 (2022), 4, S. 263–271, Lit.

The impact of COVID-19 lockdown on soccer positional and physical demands in the Spanish La Liga

von García-Calvo, Tomás (Autor), ... Fernandez-Navarro, Javier (Autor), Díaz-García, Jesús (Autor), López-Del Campo, Roberto (Autor), Martínez Fernández, Fermín (Autor), Memmert, Daniel (Autor)
Erschienen in Science and medicine in football, 7 (2022), 2, S. 124-130, Lit.

Analysis of process dynamics in soccer by means of artificial neural networks and Voronoi-cells

von Perl, Jürgen (Autor), ... Memmert, Daniel (Autor)
Erschienen in Sportinformatik X : Jahrestagung der dvs-Sektion Sportinformatik vom 10.-12. September 2014 in Wien, Hamburg: Feldhaus, Edition Czwalina (Verlag), 2015, S. 130-135, Lit.

Systematic analysis of position-data-based key performance indicators

von Schlenger, Justus (Autor), ... Wunderlich, Fabian (Autor), Raabe, Dominik (Autor), Memmert, Daniel (Autor)
Erschienen in International journal of computer science in sport, 22 (2023), 1, S. 80-101, Lit.