Game Location Effects in Professional Soccer: A Case Study

Tucker, Wayne C.; Mellalieu, D. Stephen; James, Nic; Taylor, B. Joseph

doi:10.1080/24748668.2005.11868325

Cited by 89 publications

(89 citation statements)

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“…Match location (playing home or away), quality and strength of opponents (e.g. "weak" or "strong" and their position on league rankings), and match status (if winning, losing or drawing) were identified as the most important situational variables that dictates possession patterns [9][10][11][12][13] . Concerning match location, playing home presented stronger interaction with team possession than playing away 6,8,14 , which might be explained by a more familiar environment and a more consistent style of play 15,16 .…”

Section: Introductionmentioning

confidence: 99%

Effects of match situational variables on possession: The case of England Premier League season 2015/16

Aquino

Manechini

Bedo

et al. 2017

Motriz: rev. educ. fis.

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-Aims:To identify the effects of match location, quality of opponents and match status on possession during the 2015/16 Season of England Premier League. Methods: Three hundred and eighty matches played by 20 teams were analysed. For each match, two values were recorded, resulting in 760 observations. Results: Teams who played at home (51.77 ± 10.22%) presented higher possession values (EF=moderate) than those who played away (48.21 ± 10.30%). Quality of opponents also had a significant difference, as possession was higher (EF=large) when teams played against weak (52.30 ± 9.77%) than strong opponents (46.48 ± 10.38%). The multivariate analysis revealed no interaction between situational variables and possession (p = 0.76). Despite the teams classified as "best-ranking" (1st to 8th position: 50.60 ± 10.35%) presented greater possession (EF=moderate) than "worst-ranking" (9st to 20th position: 47.59 ± 9.74%), no significant differences were found in the comparisons of match status (

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Section: Introductionmentioning

confidence: 99%

Effects of match situational variables on possession: The case of England Premier League season 2015/16

Aquino

Manechini

Bedo

et al. 2017

Motriz: rev. educ. fis.

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“…This calls for care when deciding exactly what is required. The selection of performance indicators should be established in several stages, and the design of the system tested (James et al, 2002;Tucker et al, 2005). The criteria that determine the information to be incorporated or excluded in the posterior data collection is previously subjected to consideration, which represents one of the steps for the establishment of a performance indicator and elaboration of the analysis system.…”

Section: Discussionmentioning

confidence: 99%

“…The criteria of the operational definitions must be accurately defined and unambiguous (James, 2006b;Williams, 2012). It is necessary to test the design of the system of analysis, ensuring that there is no error in the definitions and in the system of measurement (James et al, 2002;Tucker et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…It would be not enough to consider a performance indicator per se, since different operational definitions may capture and/or exclude relevant information. Thus, the selection of performance indicators should be established in several stages (James, Mellalieu, & Hollely, 2002; Tucker, Mellalieu, James, & Taylor, 2005). Is created an ad hoc observation instrument to make possible to detect the behaviors patterns under investigation (Silva, Bañuelos, Garganta, & Anguera, 2005).…”

Section: Introductionmentioning

confidence: 99%

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The ball recovery as an action related performance indicator in Football – an example using distinct operational definitions

Santos

Silva²,

Lago‐Peñas

2017

jhse

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The aim of the study was to demonstrate the impact of different operational definitions (definition 1 -Amisco; definition 2 -Garganta, 1997; definition 3 -Garganta, 1997, adapted) over the frequency and location of ball recovery, and provide bases to select the most useful definition to an intended analysis. The sample is the first half of twelve matches from the Spanish soccer league. Matches were registered using AMISCO®. Data were examined using Cochran's Q test and Kruskal-Wallis test. Results showed that the frequency and location of ball recovery differ depending on the operational definition used. Definitions 1, 2 and 3 identified 909, 272 and 310 ball recoveries, respectively (p< 0.001 for all pairs of comparisons). The median distance from the goal to the location of ball recovery was, in meters, 40.0 (35.7) using definition 1, 32.2 (34.8) using definition 2 and 32.7 (34.3) when definition 3 was used (p<0.001 for comparisons between definition 1 and 2, and definition 1 and 3). The operational definitions impact in match analysis and consequently in the interpretation of the play. The criteria used should incorporate an instrumental selectivity that points to the purposes of the assessment. Concerning the frequency, definition 1 is the most glade, and definition 2 the most restrictive. Regarding the location, there were no significant differences between definition 2 and 3. Definition 2 allows to gain suitable and meaningful comparisons as previous studies has already based on it. Despite the differences, both definition 1 and 2 have a practical value. Ultimately, it is important to verify if the measurement instrument satisfies the logical intentions of the observational system .

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“…Particularly differences observed in attack, and especially header duels on the team's own half of the field as well as on the opponent's half. Furthermore, it was found that the home teams obtain advantage concerning aerial duels (Tucker, Mellalieu, James, & Taylor, 2005).…”

Section: Vs Playing Duelsmentioning

confidence: 99%

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Evangelos¹,

Gioldasis²,

Gissis³

et al. 2014

JPES

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Abstract:The aim of the current study was to identify the differences between top-level teams after wide and short range results. The data corresponded in 64 games of 2013/14 European soccer leagues. Wide and short range results were divided in two equal categories. The researchers described the descriptive statistics for all the soccer factors. They tested normality and homogeneity by Kolmogorov-Smirnov and Levene's controls respectively. Furthermore, they examined the differences between wide and short range results by ANOVA analyses and post hoc Tukey's comparisons. The results showed that in wide range results (≥3 difference), the winners perform significant higher performance than the losers in the following factors: aerial duels (p< .10), overall duels (p< .10), ball possession (p< .05), overall passes (p< .05), opponent-half passing accuracy (p< .05), overall shots (p< .001), shot accuracy (p< .10), on-target shots (p< .001), short distance (p< .001) and long distance shots (p< .05), as well corners (p< .05). No differences between winners and losers were found regarding the above variables in short range results. Soccer coaches should focus in improvements of these factors in order to achieve wide range victories.

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Game Location Effects in Professional Soccer: A Case Study

Cited by 89 publications

References 0 publications

Effects of match situational variables on possession: The case of England Premier League season 2015/16

Effects of match situational variables on possession: The case of England Premier League season 2015/16

The ball recovery as an action related performance indicator in Football – an example using distinct operational definitions

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