Attacking Key Performance Indicators in Soccer: Current Practice and Perceptions from the Elite to Youth Academy Level

Herold, Mat; Kempe, Matthias; Bauer, Pascal; Meyer, Tim

doi:10.52082/jssm.2021.158

Cited by 23 publications

(19 citation statements)

References 70 publications

(101 reference statements)

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“…With the ongoing digitalization in sports, the importance and usage of data in soccer has grown constantly in the last decades [ 1 , 2 ]. In line with this development, the use of spatiotemporal tracking data for tactical game analysis is seen as a beneficial tool to produce more objective, time-efficient, and in-depth analyses [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

The “Hockey” Assist Makes the Difference—Validation of a Defensive Disruptiveness Model to Evaluate Passing Sequences in Elite Soccer

Forcher

Kempe

Altmann

et al. 2021

Entropy

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With the growing availability of position data in sports, spatiotemporal analysis in soccer is a topic of rising interest. The aim of this study is to validate a performance indicator, namely D-Def, measuring passing effectiveness. D-Def calculates the change of the teams’ centroid, centroids of formation lines (e.g., defensive line), teams’ surface area, and teams’ spread in the following three seconds after a pass and therefore results in a measure of disruption of the opponents’ defense following a pass. While this measure was introduced earlier, in this study we aim to prove the usefulness to evaluate attacking sequences. In this study, 258 games of Dutch Eredivisie season 2018/19 were included, resulting in 13,094 attacks. D-Def, pass length, pass velocity, and pass angle of the last four passes of each attack were calculated and compared between successful and unsuccessful attacks. D-Def showed higher values for passes of successful compared to unsuccessful attacks (0.001 < p ≤ 0.029, 0.06 ≤ d ≤ 0.23). This difference showed the highest effects sizes in the penultimate pass (d = 0.23) and the maximal D-Def value of an attack (d = 0.23). Passing length (0.001 < p ≤ 0.236, 0.08 ≤ d ≤ 0.17) and passing velocity (0.001 < p ≤ 0.690, −0.09 ≤ d ≤ 0.12) showed inconsistent results in discriminating between successful and unsuccessful attacks. The results indicate that D-Def is a useful indicator for the measurement of pass effectiveness in attacking sequences, highlighting that successful attacks are connected to disruptive passing. Within successful attacks, at least one high disruptive action (pass with D-Def > 28) needs to be present. In addition, the penultimate pass (“hockey assist”) of an attack seems crucial in characterizing successful attacks.

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Section: Introductionmentioning

confidence: 99%

The “Hockey” Assist Makes the Difference—Validation of a Defensive Disruptiveness Model to Evaluate Passing Sequences in Elite Soccer

Forcher

Kempe

Altmann

et al. 2021

Entropy

Self Cite

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“…However, as technology, beginning in the early 1980s, began to rapidly evolve, new possibilities to assess internal and external training loads during training and competition became available [ 1 ]. Today, new wireless technologies are expanding to provide simultaneous data related to biomechanical, physiological and performance variables [ 2 – 5 ].…”

Section: Introductionmentioning

confidence: 99%

Integrative Proposals of Sports Monitoring: Subjective Outperforms Objective Monitoring

Montull

Slapšinskaitė-Dackevičienė

Kiely

et al. 2022

Sports Med - Open

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Current trends in sports monitoring are characterized by the massive collection of tech-based biomechanical, physiological and performance data, integrated through mathematical algorithms. However, the application of algorithms, predicated on mechanistic assumptions of how athletes operate, cannot capture, assess and adequately promote athletes’ health and performance. The objective of this paper is to reorient the current integrative proposals of sports monitoring by re-conceptualizing athletes as complex adaptive systems (CAS). CAS contain higher-order perceptual units that provide continuous and multilevel integrated information about performer–environment interactions. Such integrative properties offer exceptional possibilities of subjective monitoring for outperforming any objective monitoring system. Future research should investigate how to enhance this human potential to contribute further to athletes’ health and performance. This line of argument is not intended to advocate for the elimination of objective assessments, but to highlight the integrative possibilities of subjective monitoring.

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“…Coaches may design special training to increase PA above 80% critically for CB and CM positions. In addition to all these, Herold et al (2021) showed that the PA rate during training did not reflect in competitions, and the PA average was lower in matches than in training (Herold et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

An eighty percent pass accuracy may be a critical level on soccer team success

Subak¹

2022

sportk

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In this research, we analyzed the pass accuracy (PA) of center-back (CB), wing-back (WB), center-midfield (CM), wing-midfield (WM) and center-forward (CF) players, and the points of Turkish Super League (TSL) 2020-2021 season. Pearson Correlation Test was used for statistical analysis and confidence interval was settled as 99% (p < 0.01). The results showed that the PA average of CB and CM players was highly related to the points obtained at the end of the season. The passing accuracy of the teams finishing the league in the best places was above 80%, and it was lower in those teams with less points. In conclusion, the results demonstrated that pass accuracy affected the league rank of TSL, and a pass accuracy of 80% may be a critical level to finish in the top ranking of the league. En esta investigación, se analizó la precisión de pase (PP) promedio de los jugadores de centro (C), lateral (L), centro-medio (CM), lateral-medio (LM) y delanteros centro (CF) de los equipos de la Súper Liga Turca (SLT), así como los puntos de la temporada 2020-2021. El test de correlación de Pearson fue utilizado para el análisis estadístico, estableciendo el intervalo de confianza en 99% (p <0,01). Los resultados mostraron que el promedio de PP de los jugadores de C y CM estaba altamente relacionado con los puntos obtenidos al final de la temporada. La precisión de pase de los equipos que terminaron la liga en las mejores posiciones fue superior al 80%, y fue menor en los equipos que terminaron en peores posiciones. En conclusión, los resultados demostraron que la precisión del pase afectó a la clasificación de los equipos de la SLT, y que un 80% de precisión de pase puede ser un nivel crítico para terminar en las mejores posiciones de la liga.

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Attacking Key Performance Indicators in Soccer: Current Practice and Perceptions from the Elite to Youth Academy Level

Cited by 23 publications

References 70 publications

The “Hockey” Assist Makes the Difference—Validation of a Defensive Disruptiveness Model to Evaluate Passing Sequences in Elite Soccer

The “Hockey” Assist Makes the Difference—Validation of a Defensive Disruptiveness Model to Evaluate Passing Sequences in Elite Soccer

Integrative Proposals of Sports Monitoring: Subjective Outperforms Objective Monitoring

An eighty percent pass accuracy may be a critical level on soccer team success

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