The keys of pressing to gain the ball - Characteristics of defensive pressure in elite soccer using tracking data

被引:11
|
作者
Forcher, Leander [1 ,2 ,5 ]
Forcher, Leon [1 ,2 ]
Altmann, Stefan [1 ,3 ]
Jekauc, Darko [1 ]
Kempe, Matthias [4 ]
机构
[1] Karlsruhe Inst Technol, Inst Sports & Sports Sci, Karlsruhe, Germany
[2] TSG 1899 Hoffenheim, Zuzenhausen, Germany
[3] TSG ResearchLab gGmbH, Zuzenhausen, Germany
[4] Univ Groningen, Univ Med Ctr Groningen UMCG, Ctr Human Movement Sci, Groningen, Netherlands
[5] Karlsruhe Inst Technol, Inst Sports & Sports Sci, Engler Bunte Ring 15, D-76133 Karlsruhe, Germany
关键词
team sports; match analysis; performance analysis; defensive behavior; machine learning; PERFORMANCE PARAMETERS; 2030; WILL; TEAM; VARIABLES; EVOLUTION; DYNAMICS; PATTERNS; FOOTBALL; STYLES; PLAY;
D O I
10.1080/24733938.2022.2158213
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Recently, the availability of big amounts of data enables analysts to dive deeper into the constraints of performance in various team sports. While offensive analyses in football have been extensively conducted, the evaluation of defensive performance is underrepresented in this sport. Hence, the aim of this study was to analyze successful defensive playing phases by investigating the space and time characteristics of defensive pressure.Therefore, tracking and event data of 153 games of the German Bundesliga (second half of 2020/21 season) were assessed. Defensive pressure was measured in the last 10 seconds of a defensive playing sequence (time characteristic) and it was distinguished between pressure on the ball-carrier, pressure on the group (5 attackers closest to the ball), and pressure on the whole team (space characteristic). A linear mixed model was applied to evaluate the effect of success of a defensive play (ball gain), space characteristic, and time characteristic on defensive pressure.Defensive pressure is higher in successful defensive plays (14.47 +/- 16.82[%]) compared to unsuccessful defensive plays (12.87 +/- 15.31[%]). The characteristics show that defensive pressure is higher in areas closer to the ball (space characteristic) and the closer the measurement is to the end of a defensive play (time characteristic), which is especially true for successful defensive plays.Defensive pressure is a valuable key performance indicator for defensive play. Further, this study shows that there is an association between the pressing of the ball-carrier and areas close to the ball with the success of defensive play.
引用
收藏
页码:161 / 169
页数:9
相关论文
共 50 条
  • [31] Comparing Tactical Analysis Methods in Women's Soccer Using Positioning Data from Electronic Performance and Tracking Systems
    Oliveira, Luis Angel
    Melendi, David
    Garcia, Roberto
    ELECTRONICS, 2024, 13 (10)
  • [32] Layered data association using graph-theoretic formulation with applications to tennis ball tracking in monocular sequences
    Yan, Fei
    Christmas, William
    Kittler, Josef
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008, 30 (10) : 1814 - 1830
  • [33] Players' decisions within ball screens in elite German men's basketball: observation of offensive-defensive interactions using a process-orientated state-event model
    Remmert, Hubert
    Chau, Anh-Tuan
    INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, 2019, 19 (01) : 1 - 13
  • [34] Gaseous electron multiplier gain characteristics using low-pressure Ar/CO2
    T. Rogers
    R. McEntaffer
    T. Schultz
    J. McCoy
    D. Miles
    J. Tutt
    Experimental Astronomy, 2017, 43 : 201 - 210
  • [35] Gaseous electron multiplier gain characteristics using low-pressure Ar/CO2
    Rogers, T.
    McEntaffer, R.
    Schultz, T.
    McCoy, J.
    Miles, D.
    Tutt, J.
    EXPERIMENTAL ASTRONOMY, 2017, 43 (02) : 201 - 210
  • [36] Practical Fitness Profiling Using Field Test Data for Female Elite-Level Collegiate Soccer Players: A Case Analysis of a Division I Team
    Lockie, Robert G.
    Risso, Fabrice G.
    Giuliano, Dominic V.
    Orjalo, Ashley J.
    Jalilvand, Farzad
    STRENGTH AND CONDITIONING JOURNAL, 2018, 40 (03) : 58 - 71
  • [37] A risk-reward assessment of passing decisions: comparison between positional roles using tracking data from professional men's soccer
    Goes, Floris
    Schwarz, Edgar
    Elferink-Gemser, Marije
    Lemmink, Koen
    Brink, Michel
    SCIENCE AND MEDICINE IN FOOTBALL, 2022, 6 (03) : 372 - 380
  • [38] Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match
    Carrilho, Daniel
    Couceiro, Micael Santos
    Brito, Joao
    Figueiredo, Pedro
    Lopes, Rui J.
    Araujo, Duarte
    SENSORS, 2020, 20 (17) : 1 - 14
  • [39] Adaptive Radar Tracking Algorithm for Maneuverable UAV with Probabilistic Identification of Data Using Coordinate and Amplitude Characteristics
    Zhuk S.Y.
    Malenchyk T.V.
    Neuimin O.S.
    Myronchuk O.Y.
    Radioelectronics and Communications Systems, 2022, 65 (10) : 503 - 516
  • [40] APPROXIMATE TRACKING AND DISTURBANCE REJECTION FOR STABLE INFINITE-DIMENSIONAL SYSTEMS USING SAMPLED-DATA LOW-GAIN CONTROL
    Ke, Zhenqing
    Logemann, Hartmut
    Rebarber, Richard
    SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2009, 48 (02) : 641 - 671