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Title:Model igre in taktika nogometnega kluba Ajax v ligi prvakov v sezoni 2018/2019 : diplomsko delo
Authors:ID Puhner, Jan (Author)
ID Železnik, Matjaž (Mentor) More about this mentor... New window
Files:.pdf VS_Puhner_Jan_2024.pdf (4,04 MB)
MD5: A744C0AE183CE6FF86D9EAA2E37EF1BF
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:PEF - Faculty of Education
Abstract:Model igre in taktika v obrambi in napadu sta ena izmed ključnih faktorjev za doseganje vrhunskih moštvenih dosežkov v nogometu. Model in taktika morata biti razdelana in premišljena glede na tip nasprotnika proti kateremu ekipa igra. V primeru, da ima ekipa odlično razdelan model ter taktiko tako v napadu kot v obrambi, ne potrebuje največjih zvezdnikov nogometne igre za doseganje vrhunskih rezultatov. Dokaz temu je bila mlada ekipa Ajaxa, ki je v Ligi prvakov v sezoni 2018/2019 prišla v polfinale preko poraza močnega Real Madrida ter Juventusa in bila le par minut oddaljena od velikega finala lige prvakov. Namen diplomske naloge je predstaviti model nogometne igre in taktiko v nogometu, kar je opisano v začetku diplomske naloge, kjer je prav tako predstavljen razvoj lige prvakov ter zgodovina nogometnega kluba Ajax. Rezultate video analize in analize statističnih podatkov so prikazani ter opisani v drugem delu diplomske naloge. Cilj analiz je bil raziskati model igre in taktiko, ki je prinesla ekipi Ajaxa odličen rezultat v Ligi prvakov v sezoni 2018/2019. Pridobljeni podatki in rezultati so prikazani v tabelah ter med seboj grafično primerjani.
Keywords:nogomet, model igre, taktika, analiza podatkov
Place of publishing:Maribor
Place of performance:Maribor
Publisher:J. Puhner
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (X, 68 str.))
PID:20.500.12556/DKUM-86741 New window
UDC:796.332(043.2)
COBISS.SI-ID:186844163 New window
Publication date in DKUM:27.02.2024
Views:397
Downloads:56
Metadata:XML DC-XML DC-RDF
Categories:PEF
:
PUHNER, Jan, 2024, Model igre in taktika nogometnega kluba Ajax v ligi prvakov v sezoni 2018/2019 : diplomsko delo [online]. Bachelor’s thesis. Maribor : J. Puhner. [Accessed 15 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=86741
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Licences

License:CC BY-ND 4.0, Creative Commons Attribution-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nd/4.0/
Description:Under the NoDerivatives Creative Commons license one can take a work released under this license and re-distribute it, but it cannot be shared with others in adapted form, and credit must be provided to the author.
Licensing start date:16.01.2024

Secondary language

Language:English
Title:The game model and tactics of Ajax football club in the Champions League in the season 2018/2019
Abstract:The game model and tactics in defense and attack are one of the key factors for achieving top team results in football. The model and tactics must be elaborated and thought out according to the type of the opponent team. If the team has a perfecly developed model and tactics in attack and defence, it does not need the biggest stars of the football game to achive top results. Proof of this was the young team of Ajax, which in the 2018/2019 season of the Champions League reached the semi-finals over the powerful Real Madrid and Juventus and were only a few minutes away from the grand final of the Champions League. The purpose of the thesis is to present the model of the football game and tactics in football, which is described at the beginning of the thesis, where the development of the Champions League and the history of the Ajax football club are also presented. The results of video analysis and statistical data analysis are shown and described in the second part of the thesis. The goal of the analysis was to explore the game model and tactics that brought the Ajax team an excellent result in the Champions League in the 2018/2019 season. The obtained data and results are shown in tables and graphically compared with each other.
Keywords:football, game model, tactics, data analysis


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