Ass.-Prof. Dr. Matthias Kempe
T: +43-1-4277-59180
Sprechstunde: nach Vereinbarung
Sommersemester 2025
Li, S., Kempe, M., & Lemmink, K. A. P. M. (2025). Recovery Strategies in Endurance Sports: A Survey in Coaches and Athletes. International Journal of Sports Physiology and Performance. https://doi.org/10.1123/ijspp.2024-0032
Li, S., Kempe, M., Brink, M., & Lemmink, K. (2024). Effectiveness of Recovery Strategies After Training and Competition in Endurance Athletes: An Umbrella Review. Sports Medicine - Open. https://doi.org/10.1186/s40798-024-00724-6
Nijmeijer, E. M., Kempe, M., Elferink-Gemser, M. T., & Benjaminse, A. (2024). Observe, Practice, and Improve? Enhancing Sidestep Cutting Execution in Talented Female Soccer Players: A Four-Week Intervention Program with Video Instruction. Journal of Strength and Conditioning Research, 38(8), e430-e439. https://doi.org/10.1519/JSC.0000000000004796
Jager, E. D., Willemsen, M., Kempe, M., & Janssen, I. (2024). Breaking barriers: Exploring female-specific health challenges affecting performance in an elite multisport training environment. Journal of Science and Medicine in Sport. https://doi.org/10.1016/j.jsams.2024.04.011
Forcher, L., Forcher, L., Altmann, S., Jekauc, D., & Kempe, M. (2024). The keys of pressing to gain the ball – Characteristics of defensive pressure in elite soccer using tracking data. Science and Medicine in Football. https://doi.org/10.1080/24733938.2022.2158213
Forcher, L., Forcher, L., Altmann, S., Jekauc, D., & Kempe, M. (2024). Is a compact organization important for defensive success in elite soccer? – Analysis based on player tracking data. International Journal of Sports Science and Coaching, 19(2), 757-768. https://doi.org/10.1177/17479541231172695
Forcher, L., Forcher, L., Altmann, S., Jekauc, D., & Kempe, M. (2023). The Success Factors of Rest Defense in Soccer: A Mixed-Methods Approach of Expert Interviews, Tracking Data, and Machine Learning. Journal of Sports Science and Medicine. https://doi.org/10.52082/jssm.2023.707
Klingner, F. C., Huijgen, B. C. H., & Kempe, M. (2023). The heat is on: Investigating the effect of psychological pressure on competitive performance in elite surfing. Journal of Sports Sciences. https://doi.org/10.1080/02640414.2023.2230032
Zwaard, S. V. D., Otter, R. T. A., Kempe, M., Knobbe, A., & Stoter, I. K. (2023). Capturing the Complex Relationship Between Internal and External Training Load: A Data-Driven Approach. International Journal of Sports Physiology and Performance. https://doi.org/10.1123/ijspp.2022-0493
Herold, M., Kempe, M., Ruf, L., Guevara, L., & Meyer, T. (2022). Shortcomings of applying data science to improve professional football performance: Takeaways from a pilot intervention study. Frontiers in Sports and Active Living. https://doi.org/10.3389/fspor.2022.1019990
Dwyer, D. B., Kempe, M., & Knobbe, A. (2022). Editorial: Using Artificial Intelligence to Enhance Sport Performance. Frontiers in Sports and Active Living. https://doi.org/10.3389/fspor.2022.886730
Herold, M., Hecksteden, A., Radke, D., Goes, F., Nopp, S., Meyer, T., & Kempe, M. (2022). Off-ball behavior in association football: A data-driven model to measure changes in individual defensive pressure. Journal of Sports Sciences. https://doi.org/10.1080/02640414.2022.2081405
Forcher, L., Altmann, S., Forcher, L., Jekauc, D., & Kempe, M. (2022). The use of player tracking data to analyze defensive play in professional soccer - A scoping review. International Journal of Sports Science and Coaching. https://doi.org/10.1177/17479541221075734
Dijkhuis, T. B., Kempe, M., & Lemmink, K. A. P. M. (2021). Early Prediction of Physical Performance in Elite Soccer Matches—A Machine Learning Approach to Support Substitutions. Entropy, 23(8), 952. https://doi.org/10.3390/e23080952
Goes, F. R., Brink, M. S., Elferink-Gemser, M. T., Kempe, M., & Lemmink, K. A. P. M. (2021). The tactics of successful attacks in professional association football: large-scale spatiotemporal analysis of dynamic subgroups using position tracking data. Journal of Sports Sciences. https://doi.org/10.1080/02640414.2020.1834689
Goes, F. R., Kempe, M., & Lemmink, K. (2019). Predicting match outcome in professional Dutch football using tactical performance metrics computed from position tracking data. IMA Journal of Management Mathematics . https://doi.org/10.29007/4jjb
Goes, FR., Kempe, M., Meerhoff, LA., & Lemmink, KAPM. (2018). Not Every Pass Can Be an Assist: A Data-Driven Model to Measure Pass Effectiveness in Professional Soccer Matches. Big Data. https://doi.org/10.1089/big.2018.0067
Kempe, M., & Memmert, D. (2018). “Good, better, creative”: the influence of creativity on goal scoring in elite soccer. Journal of Sports Sciences, 36(21), 2419-2423. https://doi.org/10.1080/02640414.2018.1459153
Altmeier, D., Kempe, M., & Memmert, D. (2018). Stair self-efficacy questionnaire to test the ability of stair negotiation for older people: Validation of a German adaptation of the SSE questionnaire by Hamel and Cavanagh (2004),Selbstwirksamkeitsfragebogen zur Prüfung der Fähigkeit zum Treppensteigen bei älteren Personen: Validierung einer deutschen Version des SSE-Fragebogens von Hamel und Cavanagh. German Journal of Exercise and Sport Research. https://doi.org/10.1007/s12662-017-0483-y
Kempe, M., Thomas, M., & Memmert, D. (2016). Do pictures help to memorize? The influence of item presentation and executive functions on everyday memory in older adults. Cogent Psychology. https://doi.org/10.1080/23311908.2016.1168767
Matthias Kempe
Tenure Track
- Institut für Sport- und Bewegungswissenschaft
Adressentyp: Postadresse.
Österreich
Forschungsinteressen
Dr. Matthias Kempe is an Assistant Professor of Data Analytics in Sports at the University of Vienna. He received his PhD in Sport Science at the German Sport University Cologne form the Faculty of Exercise Training and Sport Informatics and worked at the Univeristy of Groningen as an Assistant Professor. His research intrests include performance optimization in sports and studying interaction patterns using complex analysis (i.e. Machine Learning). He cooperateds with different sports federations in various countries, especially in Handball, Ice-Skating, Tennis, and Football. These cooperations led to several publicly funded projects to implement analytic tools and machine learning in sports practice. Besides that, he works together with several data analytics companies and is regular mentor for Hackathons.
Organisationszugehörigkeiten
Tenure Track
Institut für Sport- und Bewegungswissenschaft
Universität WienÖsterreich
15 Feb. 2025 → gegenwärtig
Dr. Matthias Kempe is an Assistant Professor of Data Analytics in Sports at the University of Vienna. He received his PhD in Sport Science at the German Sport University Cologne form the Faculty of Exercise Training and Sport Informatics and worked at the Univeristy of Groningen as an Assistant Professor. His research intrests include performance optimization in sports and studying interaction patterns using complex analysis (i.e. Machine Learning). He cooperateds with different sports federations in various countries, especially in Handball, Ice-Skating, Tennis, and Football. These cooperations led to several publicly funded projects to implement analytic tools and machine learning in sports practice. Besides that, he works together with several data analytics companies and is regular mentor for Hackathons.
Institut für Sport- und Bewegungswissenschaft
Auf der Schmelz 6a (USZ II)
1150 Wien
Zimmer: 4.24
T: +43-1-4277-59180