Interchangeability of player movement variables from different athlete tracking systems in professional soccer

Ellens, Susanne; Hodges, Daniel; McCullagh, S.; Malone, James J.; Varley, Matthew C.

doi:10.1080/24733938.2021.1879393

Cited by 14 publications

(16 citation statements)

References 15 publications

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“…Nonetheless, it was noted that Catapult underestimated the values in comparison to Tracab, particularly for HSR and sprint distances/counts. This corresponds with the findings of previous studies that revealed higher values for tracking systems when compared with GNSS 6 Regarding TD, the present study showed higher values for Tracab in comparison to Vector S7, which was also previously confirmed. 6 Moreover, the findings concerning speed values, higher for the tracking system when compared to GNSS, are similar to the findings of previous research.…”

Section: Discussionsupporting

confidence: 93%

“…8 Another comparison of Tracab and a 10-Hz GNSS (Wimu) revealed that the optical tracking system slightly overestimated most locomotor measures compared to GNSS. 9 These aforementioned studies 6,8,9 suggest notable differences in locomotor measures when comparing different technologies, specifically GNSS and optical video tracking systems. However, they also demonstrate a strong correlation between the two, indicating the potential for interchangeability.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the agreement between a global navigation satellite system and an optical-tracking system for measuring total, high-speed running, and sprint distances in official soccer matches

et al. 2023

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This study aimed to compare the agreement of total distance (TD), high-speed running (HSR) distance, and sprint distance during 16 official soccer matches between a global navigation satellite system (GNSS) and an optical-tracking system. A total of 24 male soccer players, who are actively participating in the Polish Ekstraklasa professional league, were included in the analysis conducted during official competitions. The players were systematically monitored using Catapult GNSS (10-Hz, S7) and Tracab optical-tracking system (25-Hz, ChyronHego). TD, HSR distance, sprint distance, HSR count (HSRC), and sprint count (SC) were collected. The data were extracted in 5-min epochs. A statistical approach was employed to visually examine the relationship between the systems based on the same measure. Additionally, R2 was utilized as a metric to quantify the proportion of variance accounted for by a variable. To assess agreement, Bland–Altman plots were visually inspected. The data from both systems were compared using the estimates derived from the intraclass correlation (ICC) test and Pearson product–moment correlation. Finally, a paired t-test was employed to compare the measurements obtained from both systems. The interaction between Catapult and Tracab systems revealed an R2 of 0.717 for TD, 0.512 for HSR distance, 0.647 for sprint distance, 0.349 for HSRC, and 0.261 for SC. The ICC values for absolute agreement between the systems were excellent for TD (ICC = 0.974) and good for HSR distance (ICC = 0.766), sprint distance (ICC = 0.822). The ICC values were not good for HSRCs (ICC = 0.659) and SCs (ICC = 0.640). t-test revealed significant differences between Catapult and Tracab for TD ( p < 0.001; d = −0.084), HSR distance ( p < 0.001; d = −0.481), sprint distance ( p < 0.001; d = −0.513), HSRC ( p < 0.001; d = −0.558), and SC ( p < 0.001; d = −0.334). Although both systems present acceptable agreement in TD, they may not be perfectly interchangeable, which sports scientists and coaches must consider when using them.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Assessing the agreement between a global navigation satellite system and an optical-tracking system for measuring total, high-speed running, and sprint distances in official soccer matches

et al. 2023

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“…External training load data from an ultrawideband (UWB) local positioning system (Catapult ClearSky, Catapult Sports, Melbourne, Australia) and inertial measurement unit (Catapult T6, Catapult sports, Melbourne, Australia) were integrated with external game day load data from an OT system (Second Spectrum, Los Angeles, United States) to quantify external load across all on-court activities. The process of merging external load data from two different measurement systems has been evaluated in professional soccer (Buchheit et al, 2014;Taberner et al, 2020;Ellens et al, 2021), with findings that suggest positional data can be interchanged between different systems to confidently quantify external load (Buchheit et al, 2014;Taberner et al, 2020;Ellens et al, 2021). The two systems used for load quantification in this study were evaluated simultaneously during basketball-specific activity (e.g., running, change of direction, and 5 on 5 basketball play) to determine the level of agreement, via regression analysis, of external load metrics.…”

Section: Methodsmentioning

confidence: 99%

Quantifying Training and Game Demands of a National Basketball Association Season

et al. 2021

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Purpose: There are currently no data describing combined practice and game load demands throughout a National Basketball Association (NBA) season. The primary objective of this study was to integrate external load data garnered from all on-court activity throughout an NBA season, according to different activity and player characteristics.Methods: Data from 14 professional male basketball players (mean ± SD; age, 27.3 ± 4.8 years; height, 201.0 ± 7.2 cm; body mass, 104.9 ± 10.6 kg) playing for the same club during the 2017–2018 NBA season were retrospectively analyzed. Game and training data were integrated to create a consolidated external load measure, which was termed integrated load. Players were categorized by years of NBA experience (1-2y, 3-5y, 6-9y, and 10 + y), position (frontcourt and backcourt), and playing rotation status (starter, rotation, and bench).Results: Total weekly duration was significantly different (p < 0.001) between years of NBA playing experience, with duration highest in 3–5 year players, compared with 6–9 (d = 0.46) and 10+ (d = 0.78) year players. Starters experienced the highest integrated load, compared with bench (d = 0.77) players. There were no significant differences in integrated load or duration between positions.Conclusion: This is the first study to describe the seasonal training loads of NBA players for an entire season and shows that a most training load is accumulated in non-game activities. This study highlights the need for integrated and unobtrusive training load monitoring, with engagement of all stakeholders to develop well-informed individualized training prescription to optimize preparation of NBA players.

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“…Consequently, comparisons of the players’ performances between these different systems, is difficult. This issue has been reported in the literature ( Varley et al, 2012 ; Buchheit et al, 2014 ; Ellens et al, 2021 ). This incompatibility and the lack of interchangeability between systems creates a need for a single system capable of providing position detection data in both competition and training settings.…”

Section: Introductionmentioning

confidence: 62%

“…Ideally, this type of validation is conducted using 3D kinematic analysis like Vicon or Qualisys ( Luteberget and Gilgien, 2020 ), but this is challenging and costly to do in field settings ( Linke et al, 2018 ) and actually cannot be done in large environments like an Ultimate Frisbee field. The alternative is an approximation, which involves comparing the measurements the drone-based video system with other systems that have been reported in the literature ( Frencken et al, 2010 ; Randers et al, 2010 ; Ogris et al, 2012 ; Varley et al, 2012 ; Buchheit et al, 2014 ; Ellens et al, 2021 ). In this case, we used a GPS system and a LPS system, described in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Drone-Based Position Detection in Sports—Validation and Applications

et al. 2022

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Radio and video-based electronic performance and tracking systems (EPTS) for position detection are widely used in a variety of sports. In this paper, the authors introduce an innovative approach to video-based tracking that uses a single camera attached to a drone to capture an area of interest from a bird’s eye view. This pilot validation study showcases several applications of this novel approach for the analysis of game and racket sports. To this end, the authors compared positional data retrieved from video footage recorded using a drone with positional data obtained from established radio-based systems in three different setups: a tennis match during training with the drone hovering at a height of 27 m, a small-sided soccer game with the drone at a height of 50 m, and an Ultimate Frisbee match with the drone at a height of 85 m. For each type of playing surface, clay (tennis) and grass (soccer and Ultimate), the drone-based system demonstrated acceptable static accuracy with root mean square errors of 0.02 m (clay) and 0.15 m (grass). The total distance measured using the drone-based system showed an absolute difference of 2.78% in Ultimate and 2.36% in soccer, when compared to an established GPS system and an absolute difference of 2.68% in tennis, when compared to a state-of-the-art LPS. The overall ICC value for consistency was 0.998. Further applications of a drone-based EPTS and the collected positional data in the context of performance analysis are discussed. Based on the findings of this pilot validation study, we conclude that drone-based position detection could serve as a promising alternative to existing EPTS but would benefit from further comparisons in dynamic settings and across different sports.

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Interchangeability of player movement variables from different athlete tracking systems in professional soccer

Cited by 14 publications

References 15 publications

Assessing the agreement between a global navigation satellite system and an optical-tracking system for measuring total, high-speed running, and sprint distances in official soccer matches

Assessing the agreement between a global navigation satellite system and an optical-tracking system for measuring total, high-speed running, and sprint distances in official soccer matches

Quantifying Training and Game Demands of a National Basketball Association Season

Drone-Based Position Detection in Sports—Validation and Applications

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