Ass.-Prof. Dr. Matthias Kempe
T: +43-1-4277-59180
Summer term 2025
Nijmeijer EM, Brals FD, Kempe M, Elferink-Gemser MT, Benjaminse A. How are athletes trained to move? A systematic review exploring the effects of implicit and explicit learning on biomechanics of sport-specific tasks. Journal of Biomechanics. 2025 May;184:112671. doi: 10.1016/j.jbiomech.2025.112671
Li S, Kempe M, Lemmink KAPM. Recovery Strategies in Endurance Sports: A Survey in Coaches and Athletes. International Journal of Sports Physiology and Performance. 2025 Jan 1. doi: 10.1123/ijspp.2024-0032
Li S, Kempe M, Brink M, Lemmink K. Effectiveness of Recovery Strategies After Training and Competition in Endurance Athletes: An Umbrella Review. Sports Medicine - Open. 2024 Dec. doi: 10.1186/s40798-024-00724-6
Nijmeijer EM, Kempe M, Elferink-Gemser MT, Benjaminse A. 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. 2024 Aug 1;38(8):e430-e439. doi: 10.1519/JSC.0000000000004796
Jager ED, Willemsen M, Kempe M, Janssen I. Breaking barriers: Exploring female-specific health challenges affecting performance in an elite multisport training environment. Journal of Science and Medicine in Sport. 2024 Jul. doi: 10.1016/j.jsams.2024.04.011
Forcher L, Forcher L, Altmann S, Jekauc D, Kempe M. The keys of pressing to gain the ball – Characteristics of defensive pressure in elite soccer using tracking data. Science and Medicine in Football. 2024 Apr 2. doi: 10.1080/24733938.2022.2158213
Forcher L, Forcher L, Altmann S, Jekauc D, Kempe M. Is a compact organization important for defensive success in elite soccer? – Analysis based on player tracking data. International Journal of Sports Science and Coaching. 2024 Apr;19(2):757-768. doi: 10.1177/17479541231172695
Forcher L, Forcher L, Altmann S, Jekauc D, Kempe M. 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. 2023 Dec. doi: 10.52082/jssm.2023.707
Klingner FC, Huijgen BCH, Kempe M. The heat is on: Investigating the effect of psychological pressure on competitive performance in elite surfing. Journal of Sports Sciences. 2023 Jun. doi: 10.1080/02640414.2023.2230032
Zwaard SVD, Otter RTA, Kempe M, Knobbe A, Stoter IK. Capturing the Complex Relationship Between Internal and External Training Load: A Data-Driven Approach. International Journal of Sports Physiology and Performance. 2023;18(6):634-642. doi: 10.1123/ijspp.2022-0493
Herold M, Kempe M, Ruf L, Guevara L, Meyer T. Shortcomings of applying data science to improve professional football performance: Takeaways from a pilot intervention study. Frontiers in Sports and Active Living. 2022 Oct 12;4:1019990. doi: 10.3389/fspor.2022.1019990
Klingner FC, Huijgen BCH, Den Hartigh RJR, Kempe M. Technical–tactical skill assessments in small-sided soccer games: A scoping review. International Journal of Sports Science and Coaching. 2022 Aug;17(4):885-902. doi: 10.1177/17479541211049532
Dwyer DB, Kempe M, Knobbe A. Editorial: Using Artificial Intelligence to Enhance Sport Performance. Frontiers in Sports and Active Living. 2022;4:886730. doi: 10.3389/fspor.2022.886730
Herold M, Hecksteden A, Radke D, Goes F, Nopp S, Meyer T et al. Off-ball behavior in association football: A data-driven model to measure changes in individual defensive pressure. Journal of Sports Sciences. 2022;40(12):1412-1425. doi: 10.1080/02640414.2022.2081405
Forcher L, Altmann S, Forcher L, Jekauc D, Kempe M. The use of player tracking data to analyze defensive play in professional soccer - A scoping review. International Journal of Sports Science and Coaching. 2022;17(6):1567-1592. doi: 10.1177/17479541221075734
Forcher L, Kempe M, Altmann S, Forcher L, Woll A. The “hockey” assist makes the difference—validation of a defensive disruptiveness model to evaluate passing sequences in elite soccer. Entropy. 2021 Dec;23(12):1607. doi: 10.3390/e23121607
Goes FR, Kempe M, Van Norel J, Lemmink KAPM. Modelling team performance in soccer using tactical features derived from position tracking data. IMA Journal of Management Mathematics . 2021 Oct 1;32(4):519-533. doi: 10.1093/imaman/dpab006
Dijkhuis TB, Kempe M, Lemmink KAPM. Early Prediction of Physical Performance in Elite Soccer Matches—A Machine Learning Approach to Support Substitutions. Entropy. 2021 Jul 1;23(8):952. 952. doi: 10.3390/e23080952
Goes FR, Brink MS, Elferink-Gemser MT, Kempe M, Lemmink KAPM. The tactics of successful attacks in professional association football: large-scale spatiotemporal analysis of dynamic subgroups using position tracking data. Journal of Sports Sciences. 2021 Mar 4;39(5):523-532. doi: 10.1080/02640414.2020.1834689
Herold M, Kempe M, Bauer P, Meyer T. Attacking key performance indicators in soccer: Current practice and perceptions from the elite to youth academy level. Journal of Sports Science and Medicine. 2021 Mar;20(1):158-169.
Matthias Kempe
Tenure track professor
- Department of Sport and Human Movement Science
Type of address: Postal address.
Austria
Research interests
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.
Employment
Tenure track professor
Department of Sport and Human Movement Science
University of ViennaAustria
15 Feb 2025 → present
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.
Department of Sport and Human Movement Science
Auf der Schmelz 6a (USZ II)
1150 Wien
Room: 4.24
T: +43-1-4277-59180