2024
Vater, T., & Vater, M. (2024). Heptathlon: The Current Scoring System and its Biases: An Analysis into the Distribution of Scores. Athens Journal of Sports, 11, 151-164. https://doi.org/10.30958/ajspo.11-3-2
Blauberger, P., Fukushima, T., Russomanno, T. G., & Lames, M. (2024). A Pilot Study in Sensor Instrumented Training (SIT) - Ground Contact Time for Monitoring Fatigue and Curve Running Technique. International Journal of Computer Science in Sport, 23, 1, 80-92. https://doi.org/10.2478/ijcss-2024-0005
Fukushima, T., Blauberger, P., Russomanno, T., & Lames, M. (2024). The potential of human pose estimation for motion capture in sports: a validation study. Sports Engineering. 27. DOI:10.1007/s12283-024-00460-w
Hammes, F. (2024). Immer im Netz und trotzdem erfolgreich: Die Digitalisierung im Badminton. IM+io, 39 (2), 50–53.
Hammes, F., & Link, D. (2024). Badminton as a Dynamic System – A New Method for Analyzing Badminton Matches Based on Perturbations. Journal of sports sciences, 42(2), 160-16. doi: 10.1080/02640414.2024.2323327
Ittlinger, S., Lang, St., Link, D., & Raab, M. (2024). Sequential Decision Making in Beach Volleyball - A Mixed-Method Approach. Journal of Sport and Exercise Psychology, 12:1-1. doi: 10.1123/jsep.2024-006
Link, D. (2024). Visualization. Basics and Concepts. In D. Memmert (Ed.), Computer Science in Sports (pp. 225-231). Springer Spektrum Berlin, Heidelberg.
Link, D. (2024). Performance Analysis in Soccer. In D. Memmert (Ed.), Sports Technology (pp. 235-240). Springer Spektrum Berlin, Heidelberg.
Link, D. (2024). Performance Analysis im Fußball. In D. Memmert (Hrsg.), Sporttechnologie: Technologien, Anwendungsfelder, Sportgeräte und Materialien für den Sport (S. 249-256). Springer Spektrum Berlin, Heidelberg.
Link, D. & Lames, M. (in press). The contribution of artificial intelligence. In D. Hauw, A. Nordez, & L. Seifert (Eds.). Sport performance: new perspectives (pp. x-x). INSEP editions.
Liu, R., & Lames, M. (2024). Within-Match Performance Fluctuations: Assessment and Observed vs. Expected Extent in Table Tennis. Journal of Human Kinetics, 93. DOI: 10.5114/jhk/184275
Monteiro, R., Santos, C., Blauberger, P., Link, D., Russomanno, T., Tahara, A., Chinaglia, A., & Santiago, P. (2024). Enhancing soccer goalkeepers penalty dive kinematics with instructional video and laterality insights in field conditions. Scientific Reports. 14. DOI:10.1038/s41598-024-60074-x
2023
Hammes, F., Link, D. (2023). Use of Computer Vision to Automatically Predict Starting and Ending Point of a Rally in Badminton. In: Baca, A., Exel, J. (eds) 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport. IACSS&ISPAS 2022. Advances in Intelligent Systems and Computing, vol 1448. Springer, Cham. https://doi.org/10.1007/978-3-031-31772-9_11
Hammes, F., Skrzeba, Ch., Weber, Ch., & Link. D (2023). Wettkampfanalyse Parabadminton 2021. In S. Greve, J. Süßenbach & St. Schiemann (Hrsg.). Diversität im Sportspiel (S. 206-213). Czwalina: Hamburg.
Carboch, J., Praveckova, P., & Kolbinger, O. (2023). Do line call errors differ between men’s and women’s events in tennis? A case study from the 2021 Wimbledon Tournament. International Journal of Performance Analysis in Sport, Latest articles, 1-12. https://doi.org/10.1080/24748668.2023.2204683
Kolbinger, O., Kolbinger, E., Beckmann, J., & Lames, M. (2023). Impact of the revised starting lottery in the alpine speed events on performance of the top athletes. Current Issues in Sport Science (CISS), 8(1), 005. https://doi.org/10.36950/2023.1ciss005
Link, D. (2023). Visualisierung-Grundlagen und Konzepte. In D. Memmert (Hrsg.), Sportinformatik (S. 251-257). Springer Spektrum Berlin, Heidelberg.
Vater, M., Sing, K., Sauerbier, J., & Lames, M. (2023). Leistungsdiagnostische Untersuchungen der deutschen Rollstuhlrugby Nationalmannschaft unter Berücksichtigung der sportartspezifischen Klassifizierung. In J. Süßenbach & S. Schiemann (Eds.), Diversität im Sportspiel (pp. 214-229). Hamburg: Feldhaus Verlag.
2022
Dick, U., Link, D., & Brefeld, U. (2022). Who Can Receive The Pass? - A Computational Model for Quantifying Availability in Soccer. Data mining and knowledge discovery. doi: 10.1007/s10618-022-00827-2
Hammes, F., Hagg, A., Asteroth, A., & Link, D. (2022). Artificial Intelligence in Elite Sports - A Narrative Review of Success Stories and Challenges. Frontiers in sports and active living, 4:861466. doi: 10.3389/fspor.2022.861466
Hammes, F., Skrzeba, Ch., Weber, Ch., & Link, D. (2022). Wettkampfanalyse Parabadminton 2021. BISP-Jahrbuch Forschungsförderung 2021/22 (S. 203-206). Köln: Strauß.
Koenigstorfer, J., Kolbinger, O., & McGillivray, D. (2022). ATHLETE ACTIVISM, HUMAN RIGHTS, AND THE 2020 OLYMPIC GAMES: A TWITTER ANALYSIS OF RAVEN SAUNDERS’ACTIVISM. Event Management, Fast track articles, https://doi.org/10.3727/152599522X16419948695125
Kolbinger, O. (2022). Text Mining and Performance Analysis. In: Baca, A., Exel, J., Lames, M., James, N., Parmar, N. (eds) Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference. PACSS 2021. Advances in Intelligent Systems and Computing, vol 1426. Springer, Cham. doi.org/10.1007/978-3-030-99333-7_1
Lang, S., Wild, R., Isenko, A., & Link, D., (2022). Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data. Scientific Reports, 12: 16291. doi: 10.1038/s41598-022-19948-1
Lang, St., Wenning, R., & Link, D. (2022). BeachCompiler – Das Softwaretool zur Unterstützung von Videotrainingseinheiten im Beach-Volleyball. BISP-Jahrbuch Forschungsförderung 2021/22 (S. 343-346). Köln: Strauß.
Lang, St., Wenning, R., & Link, D. (2022). Spielverlaufsanalyse Beach-Volleyball. BISP-Jahrbuch Forschungsförderung 2021/22 (S. 199-202). Köln: Strauß.
Lang, St., Wild, R., Isenko, A., & Link, D., (2022). Prediction of in-game status of ball in soccer with machine learning based on spatio temporal player tracking data. Scientific Reports, 12: 16291. doi: 10.1038/s41598-022-19948-1
Link, D. (2022). Spielanalyse in der Praxis: Beachvolleyball. In D. Memmert (Hrsg.), Spielanalyse im Sportspiel (S. 43-51). Springer Spektrum Berlin, Heidelberg.
Link, D., & Anzer, G. (2022). How Coronavirus Pandemic has Changed the Game of Soccer. International journal of sports medicine, 43 (1), 83-93. doi: 10.1055/a-1518-7778
Link, D., & Raab, M. (2022). Experts use base rates in real-world sequential decisions. Psychonomic bulletin & review, 29 (2), 660–667. doi: 10.3758/s13423-021-02024-6
Pinheiro, G.S., Quintão, R.C., Nascimento, V.B., Claudino, J.G., Alves, A. L., Costa, I.T., Costa, V.T. (2022). Small-sided games do not replicate all external and internal loads of a football match-play during pre-season: A case study. International Journal of Sports Science & Coaching. https://doi.org/10.1177/17479541211069935
Pinheiro, G.S., Xing, J., Costa, V.T., Lames, M. (2022). Body pose estimation integrated with notational analysis: a new approach to analyze penalty kicks strategy in elite football? Frontiers in Sports and Active Living, section Sports Science, Technology and Engineering. https://doi: 10.3389/fspor.2022.818556
Pinheiro, G.S.; Quintão; R.C.; Claudino, J.C.; Carling, C.; Lames, M., Couto, B.P. (2022). High rate of muscle injury despite no changes in physical, physiological and psychophysiological parameters in a professional football team during a long-congested fixture period. Research in Sports Medicine, https://doi:10.1080/15438627.2022.2038159
Russomanno, T.G., Blauberger, P., Kolbinger, O., Lam, H., Schmid, M., and Lames, M. (2022). Drone-Based Position Detection in Sports—Validation and Applications. Frontiers in Physiology 13. doi: 10.3389/fphys.2022.850512
2021
Blauberger, P., Horsch, A. & Lames, M. (2021). Detection of Ground Contact Times with Inertial Sensors in Elite 100-m Sprints under Competitive Field Conditions. Sensors, 21 (21). doi: 10.3390/s21217331
Blauberger, P., Marzilger, R. & Lames, M. (2021). Validation of Player and Ball Tracking with a Local Positioning System. Sensors, 21 (4), 1465. doi:10.3390/s21041465
Fagundes, L.H.S; Costa, I.T.; Reis, C.P.; Pinheiro, G.S.; Costa, V.T. (2021). Monitoring of overtraining and motivation in elite soccer players. Motriz., v.27, p.1 - 8, http://dx.doi.org/10.1590/S1980-65742021022221
Ferreira, T. V.; Costa, I. T.; Pinheiro, G. S.; Albuquerque, M. R.; Costa, V. (2021). Are there gender differences in reactive stress tolerance levels of Brazilian judo athletes? Ido Movement for Culture. Journal of Martial Arts Anthropology, v.21, p.29 – 34. doi: 10.14589/ido.21.3.5
Hammes, F., Fischer-Eisentraut, D., Käsbauer, H., & Link, D. (2021). Wettkampfanalyse Badminton 2020. BISP-Jahrbuch Forschungsförderung 2020/21 (S. 111-114). Köln: Strauß.
Kolbinger, O. (2021). The phenomenon of trivial offenses and why we should not just leave it to the referees. Journal of the Philosophy of Sport, 48(1), 82-96. doi.org/10.1080/00948705.2020.1834863.
Lam, H., Kolbinger, O., Lames, M., & Russomanno, T.G. (2021). State Transition Modeling in Ultimate Frisbee: Adaptation of a Promising Method for Performance Analysis in Invasion Sports. Frontiers in Psychology, 12:664511. doi: 10.3389/fpsyg.2021.664511.
Lames, M., Hermann, S., Prüßner, R. & Meth, H. (2021). Football Match Dynamics Explored by Recurrence Analysis. Frontiers in Psychology, 12, 747058. doi: 10.3389/fpsyg.2021.747058
Link, D. (2021). Soccer Analytics. In D. Schlüter (Hrsg.). Wozu braucht man eigentlich? Ein Handbuch für Mathematik Lehrkräfte (S. 72-74). Nordersted: BoD.
Link, D. (2021). Game analysis in practice: beach volleyball. In D. Memmert (Ed.), Game Analysis. How to Use Data in Professional Sport (pp. 33-41). Routledge: New York.
Link, D., Lang, St., & Haggenmüller, K. (2021). Wettkampfanalyse Taekwondo 2020. BISP-Jahrbuch Forschungsförderung 2020/21 (S. 107-110). Köln: Strauß.
Link, D., Lang, St., & Wenning, R. (2021). Einsatz von Data Mining Verfahren in der Spielanalyse im Beach-Volleyball. BISP-Jahrbuch Forschungsförderung 2020/21 (S. 49-51). Köln: Strauß.
Moreira, L., Malloy-Diniz, L.F., Pinheiro, G.S. & Costa, V.T. (2021). Are there differences in the attention of elite football players concerning playing positions?, Science and Medicine in Football, https://doi.org/10.1080/24733938.2021.1994151
Moreira, L., Malloy-Diniz, L.F., Noce, F. Pinheiro, G.S., Costa, V.T. (2021). Professional football players from defensive playing positions are more attentive and less impulsive. International Journal of Sport and Exercise Psychology, 19:sup1, S228-229, doi: 10.1080/1612197X.2021.1982479
Pinheiro, G. S., Nascimento, V. B., Dicks, M., Costa, V. T., & Lames, M. (2021). Design and Validation of an Observational System for Penalty Kick Analysis in Football (OSPAF). Frontiers in psychology, 12, 661179. https://doi.org/10.3389/fpsyg.2021.661179
Pinheiro, G.S., Costa, V.T., Lames, M. (2021). Penalty kicks in elite football: identifying factors related to the player strategy. International Journal of Sport and Exercise Psychology, 19:sup1, S228-229, doi: 10.1080/1612197X.2021.1982479
Pinheiro, G., Mello, M., Santos, F., Fiorese, L., & Costa, V. (2021). Analysis of stress level and recovery of formative football coaches. Case studies. Retos, 41, 345-353. https://doi.org/10.47197/retos.v0i41.84146
Pinheiro, G., Bernardino, H., Costa, I., & Costa, V. (2021). Differences in discriminative reaction time between elite youth football players: a comparison between age-categories. Retos, 43, 772-777. https://doi.org/10.47197/retos.v43i0.88116
Russomanno, T., Lam, H., Knopp, M., Huang, H., Stadtlander, T., and Lames, M. (2021). Within-Match Performance Dynamics - Momentary Strength in Handball. Journal of Human Kinetics 79, 211-219. doi: 10.2478/hukin-2021-0073.
Schmid, M., Blauberger, P., Lames, M. (2021). Simulating defensive trajectories in American football for predicting league average defensive movements. Front. Sports Act. Living | doi: 10.3389/fspor.2021.669845.
Seidl T, Russomanno TG, Stöckl M and Lames M (2021). Assessment of Sprint Parameters in Top Speed Interval in 100 m Sprint—A Pilot Study Under Field Conditions. Front. Sports Act. Living 3:689341. doi: 10.3389/fspor.2021.689341
2020
Blauberger, P., Horsch, A. & Lames, M. IMU-based assessment of ground contact time in 100-meter sprints. spinfortec 2020 digital, 38. doi:10.15495/EPub_UBT_00005003.
Blobel, T., & Lames, M. (2020). A Concept for Club Information Systems (CIS). An Example for Applied Sports Informatics, International Journal of Computer Science in Sport, 19(1), 102-122. doi: https://doi.org/10.2478/ijcss-2020-0006
Hohmann, A., Lames, M., Letzelter, M. & Pfeiffer, M. (2020). Einführung in die Trainingswissenschaft (7., vollständig erneuerte Auflage). Wiebelsheim: Limpert.
Kolbinger, O. (2020). VAR experiments in the Bundesliga. In M. Armenteros, A. J. Benítez & M. A. Betancor (eds.), The Use of Video Technologies in Refereeing Football and Other Sports (pp. 228-245). New York, NY: Routledge.
Kolbinger, O. & Knopp, M. (2020). Video kills the sentiment—Exploring fans’ reception of the video assistant referee in the English premier league using Twitter data. PLoS ONE, 15(12): e0242728. doi.org/10.1371/journal.pone.0242728.
Lames, M. (2020). Markov Chain Modelling. In Ch. Ley & Y. Dominicy (Eds.), Science Meets Sports - When Statistics Are More Than Numbers (pp. 147-170). Cambridge: Cambridge Scholars Publishing.
Linke, D., Link, D., & Lames, M. (2020). Football-specific validity of TRACAB’s optical video tracking systems. PLOS ONE, 15(3): e0230179. doi:10.1371/journal.pone.0230179
Mühlberger, A., & Kolbinger, O. (2020). The serve clock reduced rule violations, but did not speed up the game: A closer look at the inter-point time at the 2018 US Open. Journal of Human Sport and Exercise, Preprint. doi:https://doi.org/10.14198/jhse.2021.163.05
Wenninger, S., Link, D., & Lames, M. (2020). Performance of machine learning models in application to beach volleyball data., International Journal of Computer Science in Sport, 19(1), 24-36. doi: https://doi.org/10.2478/ijcss-2020-0002
2019
Edelmann-Nusser, A., Raschke, A., Bentz, A., Montenbruck, S., Edelmann-Nusser, J., & Lames, M. (2019). Validation of Sensor-Based Game Analysis Tools in Tennis, International Journal of Computer Science in Sport, 18(2), 49-59. doi: https://doi.org/10.2478/ijcss-2019-0013
Fuchs, M., Faber, I.R. & Lames, M. Game characteristics in elite para table tennis. Ger J Exerc Sport Res 49, 251–258 (2019). https://doi.org/10.1007/s12662-019-00575-4.
Kolbinger, O. & Stöckl, M. (2019). Misbehavior During Penalty Kicks and Goalkeepers Holding the Ball Too Long as Trivial Offenses in Football. Frontiers in Psychology. 10:844. doi: 10.3389/fpsyg.2019.00844.
Korte, F., Link, D., Groll, J., & Lames, M. (2019). Play-by-play network analysis in football. Frontiers in psychology, 10. doi: 10.3389/fpsyg.2019.01738
Korte, F., & Lames, M. (2019). Passing Network Analysis of Positional Attack Formations in Handball. Journal of human kinetics, 70, 209–221. https://doi.org/10.2478/hukin-2019-0044
Lames, M., Danilov, A., Timme, E. & Vassilevski, Y. (Eds.). (2019). Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) (Advances in Intelligent Systems and Computing, vol. 1028). Heidelberg: Springer.
Lang, Steffen (2019): Who will score next? About the predictive power of performance indicators in soccer. In M. Lames, A. Danilov, E. Timme & Y. Vassilevski (Eds.), Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019). Heidelberg: Springer.
Link, D., & Wenninger, S. (2019). Performance streaks in elite beach volleyball - does failure in one sideout affect attacking in the next? Frontiers in Psychology, 10: 919. doi: 10.3389/fpsyg.2019.00919
Link, D., Weber, M., Linke, D., & Lames, M. (2019). Can Positioning Systems Replace Timing Gates for Measuring Sprint Time in Ice Hockey? Frontiers in Physiology, 9: 1882. doi: 10.3389/fphys.2018.01882.
Link, D., & Lang, St. (2019). How to Find Elementary Football Structures in Positional Data. In Football Analytics: Now and Beyond. A deep dive into the current state of advanced data analytics (pp. 50-65). Barcelona, Spain: Barca Innovation Hub.
Linke, D. & Lames, M. (2019). Impact of sensor/reference position on player tracking variables: Center of scapulae vs center of pelvis. Journal of Biomechanics, 83, 319-323. doi: 10.1016/j.jbiomech.2018.11.046.
Russomanno, T., Linke, D., Geromiller, M. & Lames, M. (2019). Performance of Performance Indicators in Football. In M. Lames, A. Danilov, E. Timme & Y. Vassilevski (Eds.), Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) (pp. 36-44). Heidelberg: Springer.
Wenninger, S., Link, D., & Lames, M. (2019). Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis, International Journal of Computer Science in Sport, 18(2), 1-19. doi: https://doi.org/10.2478/ijcss-2019-0010
2018
Korte, F., & Lames, M. (2018). Characterizing different team sports using network analysis. Current Issues in Sport Science (CISS). http://atem-journal.com/ojs2/index.php/ciss/article/view/2048/2081
Lames, M (2018). Chance involvement in goal scoring in football – an empirical approach. German Journal of Exercise and Sport Research, 48 (2), 278-286. https://doi.org/10.1007/s12662-018-0518-z.
Leventer, L., Eek, F., & Lames, M. (2018). Intra-seasonal variation of injury patterns among German Bundesliga soccer players. Journal of Science and Medicine in Sport. DOI: https://doi.org/10.1016/j.jsams.2018.12.001.
Link, D. & Weber, Ch. (2018). Finding the Gap: An Empirical Study of the Most Effective Shots in Elite Goalball. PLoS ONE, 13(4): e0196679. doi: 10.1371/journal.pone.0196679
Link, D., Hermann, A., Lames, M. & Senner, V. (Hrsg.).(2018). Sportinformatik XII. 12. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 5.-7. September 2018 in Garching. Abstracts. Hamburg: Czwalina.
Link, D., Fuchs, M., & Ziegler, V. (2018). Spielanalyse Paratischtennis. In Bundesinstitut für Sportwissenschaft (Hrsg.), BISP-Jahrbuch Forschungsförderung 2017/18 (S. 95-97). Köln: Strauß.
Linke, D., Link, D., Lames, M. (2018). Validation of electronic performance and tracking systems EPTS under field conditions. PLoS ONE 13 (7): e0199519. doi: 10.1371/journal.pone.0199519.
Linke, D., Link, D., Weber, H., Lames, M. (2018) Decline in Match Running Performance in Football is affected by an Increase in Game Interruptions. Journal of Sports Science and Medicine (17), 662 - 667.
Fuchs, M., Liu, R., Malagoli Lanzoni, I., Munivrana, G., Straub, G., Tamaki, S., Yoshida, K., Zhang, H., Lames, M. (2018). Table Tennis Match Analysis: A review. Journal of Sports Sciences: Special Issue Table Tennis. doi: 10.1080/02640414.2018.1450073
Kolbinger, O., Grossmann, S. & Lames, M. (2018). A closer look at the prevalence of time rule violations and the inter-point time in men’s Grand Slam tennis. Journal of Sports Analytics, 5(2), 75-84. doi: 10.3233/JSA-180277
Link, D. (2018). Data Analytics in Professional Soccer – Performance Analysis based on Spatiotemporal Tracking Data. Wiesbaden: Springer Verlag. doi: 10.1007/978-3-658-21177-6
Link, D. (2018). Sports Analytics - wie aus (kommerziellen) Sportdaten neue Möglichkeiten für die Sportwissenschaft entstehen. German Journal of Exercise and Sport Research, 48(1), 13-26. doi: 10.1007/s12662-017-0487-7
Peter F. Lamb & Todd C. Pataky (2018): The role of pelvis-thorax coupling in controlling within-golf club swing speed, Journal of Sports Sciences, doi: 10.1080/02640414.2018.1442287