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Please use this identifier to cite or link to this item: http://hdl.handle.net/2108/898

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contributor.advisorSacripanti, Attilio-
contributor.authorRuscello, Bruno-
date.accessioned2009-05-06T10:30:33Z-
date.available2009-05-06T10:30:33Z-
date.issued2009-05-06T10:30:33Z-
identifier.urihttp://hdl.handle.net/2108/898-
description21. cicloen
description.abstractLa Match Analisi è argomento di discussione di grande interesse fra gli allenatori, i dirigenti sportivi e gli studiosi di scienze dello sport, e sta raggiungendo giorno per giorno una sempre maggiore rilevanza. Quando ci si riferisce a questo particolare aspetto della metodologia dell’allenamento sportivo, l’Informazione e l’elaborazione dei dati pertinenti devono essere considerati i fattori chiave. Attualmente il concetto di “Match Analisi” è usato in diversi paesi per definire il processo della osservazione e valutazione di un “insieme di comportamenti” adottati dagli atleti durante una partita o incontro, applicando diverse metodologie ed utilizzando specifici mezzi e strumenti, al fine di: 1. raccogliere ed elaborare i dati relativi ai diversi aspetti di un gioco o di alcune discipline sportive, sotto diversi punti di vista; 2. fornire le relative risultanze, opportunamente formattate, al fine di presentare i dati raccolti ed elaborati in un modo accessibile a tutti gli interessati, a diversi livelli (es. Allenatori, Atleti, studiosi di Scienze Motorie, Dirigenti, Giudici ed Arbitri, Giornalisti, ecc.); 3. fornire una interpretazione dei dati raccolti ed elaborati, al fine di definire meglio alcune caratteristiche specifiche della prestazione studiata (p.es. il dato fisiologico della prestazione o la biomeccanica o gli aspetti tattici di una partita o di un gioco) con il fine ultimo di migliorare questi aspetti attraverso la proposizione opportuna dei relativi processi di allenamento. Le finalità di questa tesi possono essere sintetizzate come segue: 1. fornire una panoramica a larga scala di quello che è il ruolo delle procedure di Match Analisi, inserite nel contesto generale della metodologia dell’allenamento sportivo; 2. analizzare il profilo professionale (Studio 1, Capitolo 11) richiesto per poter operare in questo campo specifico e gli atteggiamenti dei possibili Match Analisti, gli studenti di Scienze Motorie, attraverso un questionario appositamente progettato; 3. fornire un esempio di Analisi Biomeccanica Quantitativa, (Studio 2, Capitolo 7) studiando una specifica tecnica hockeistica, il “push”, utilizzato spesso durante una partita, al fine di affrontare efficacemente le cosiddette “Invarianti di Competizione” (Tiri Liberi, Corners, Rigori, ecc.); 4. condurre e presentare (Studio 3, Capitolo 7) una analisi estensiva delle capacità motorie e dei livelli di condizione fisica nelle hockeiste di elite (livello internazionale) e sub-elite (livello nazionale) al fine di definire i possibili indicatori fisiologici di prestazione (livello 1 della Match Analisi); 5. descrivere alcune procedure applicative di Match Analisi Qualitativa e Quantitativa (Hockey, Calcio; Studio 4 e 5, Capitoli 8 e 13), attraverso i processi di: · analisi dei software di Video Match Analisi disponibili sul mercato attualmente; · uso di un software commerciale di video match analisi per raccogliere dei dati a livello nazionale/internazionale in giochi sportivi come l’Hockey su prato ed il Calcio; · progetto di un nuovo software capace di aumentare l’efficienza del Data Base Video utilizzato; · analisi delle informazioni raccolte, attraverso un programma di Data Mining, al fine di trovare gli opportuni Predittori di Prestazione, capaci di ottimizzare i processi di allenamento e di aiutare in modo consistente il lavoro degli Allenatori, anche in situazioni di tempo reale. Sono proposte alcune considerazioni conclusive, che suggeriscono la necessità di maggiori ed ulteriori ricerche, per la maggior parte relative al terzo livello di analisi (la Strategia Generale e la Tattica). Un maggior coinvolgimento delle Università appare opportuno al fine di qualificare i futuri Match Analisti, assicurando loro le opportune conoscenze nei diversi ambiti disciplinari che possono concorrere a permettere un opportuno approccio interdisciplinare.en
description.abstractMatch Analysis is a major subject among coaches, team managers and sport scientists and it is gaining an increasing relevance day by day. Information and the relevant data processing are the key factors while referring to this aspect of the sport training methodology. Currently the concept of “Match Analysis” is used in several countries to define the process of observing and evaluating a “whole of behaviours” performed by the players during a match, applying different methodologies and using specific instruments and tools,in order to: 1. collect and process the relevant data concerning the different features of games or athletic disciplines, under different points of view; 2. provide relevant presentations, appropriately formatted, in order to show the collected and processed data in an accessible way to all the concerned people, at different levels (i.e. coaches, players, sport scientists, officials, managers, journalists, etc.); 3. provide an interpretation of the collected and processed data, in order to define better some specific feature of the investigated performance (i.e. the physiological side of the performance or the biomechanics or the tactical features of a match or a game) with the ultimate aim of improving these aspects through the appropriate administration of the relevant training processes. The aims of the thesis may be summarized as follows: 1. providing a large-scale overview of what is currently the role of the Match Analysis procedures in the general context of the training methodology; 2. analysing the professional profile (Study 1, Chapter 11) required to operate in this specific field and the attitudes of the possible Match Analysts, the Sport Sciences students, through a questionnaire purposely designed; 3. providing an example of Quantitative Biomechanics Analysis, (Study 2, Chapter 7) investigating a specific hockey technical skill, (the “Push”) often performed during a match in order to cope efficiently with the “Competition Invariants” situations (Free Hits, Corners, Penalty Stroke, etc.); 4. in order to define the relevant physiological performance indicators (match analysis, level 1) in field hockey, an extensive analysis of the motor abilities and the fitness levels has been carried out and presented (Study 3, chapter 7) for elite (international level) and sub-elite (national level) women hockey players; 5. describing some applied Qualitative and Quantitative Match Analysis procedures (Field Hockey, Football; Study 4 and 5, Chapter 8 and 13), through the process of: · analysing the commercial Video Match Analysis software available on the market at date; · using a video match analysis commercial software to collect data at international/national level in team sports such as Field Hockey and Football; · designing a new software able to improve the efficiency of the used video data base; · analysing the collected information, by the means of Data Mining, in order to provide the relevant Performance Predictors, suitable to improve the training processes and to help consistently the work of coaches even in real-time situations. Some final considerations are provided, suggesting the need for more and further investigations for the most part of the third level of analysis (General Strategy and Tactic). A greater involvement of the Universities is needed in order to qualify the future Match Analysts, ensuring them the appropriate knowledge of several and different disciplines that combine a pertinent interdisciplinary approach.en
description.tableofcontentsChapter 1, Introduction - 1.1. Thesis Focus - 1.2. Thesis Outline. - Chapter 2, Introduction to the Match Analysis Processes - 2.1. Definition of Match Analysis - 2.1.1. Notational Analysis - 2.1.2. Motion Analysis - 2.2. Origins - 2.3. Area of applicability - 2.3.1. Motion Analysis and the technical-Tactical Skills - 2.4. Conclusions - 2.5. References. - Chapter 3, Sports Classifications - 3.1. Dal Monte’s Sports Classification - 3.2. Manno’s Sports Classification - 3.3. D’Jakov and Farfel’s Sports Classification - 3.4. Verchoshanskij’s Sports Classification - 3.5. Other Sports Classification - 3.6. A biomechanical Sports Classification - 3.7. References. - Chapter 4 – Conditioning, Training and Coaching (CTC) Processes and Controls. - 4.1. A general definition and historical perspective - 4.2. Sport Training definitions - 4.3. Training Control - 4.4. Training Process Analysis: a sociological perspective - 4.5. Training Process Analysis: a pedagogical perspective - 4.6. References. - Chapter 5, Analysing the CTC Processes: an interdisciplinary approach - 5.1. Introduction to the Physiological Domain - 5.1.1. Some historical perspective - 5.1.2. Sport and Physiology - 5.2. Introduction to the Psychological Domain - 5.2.1. Attentive Styles - 5.2.2. Exploratory Strategies - 5.2.3 Decision Making processes - 5.3. Introduction to the Physical Domain - 5.3.1. Mathematical Modelling and the Scientific Method - 5.3.2. Introduction to Cybernetics - 5.3.3. Introduction to Information Theory - 5.3.4. Introduction to Games Theory - 5.3.5. Introduction to Chaos Theory - 5.3.6. Introduction to Catastrophe Theory - 5.4. References. - Chapter 6, Match Analysis Procedures - 6.1. Research and Observation: Applied Methodologies - 6.2. Technical Issues in Match Analysis - 6.3. A Comparative Analysis of current commercial software - 6.4. Advanced Biomechanical Analysis in Situational Sports - 6.4.1. Motion Equations and Consequent Trajectories - 6.4.2. A unified Theory of situational dual sport with contact - 6.4.3. Experimental demonstration of the antecedent assumption - 6.4.4. A Unified Theory of situational Team Sports with contact - 6.4.5. Experimental demonstration of the Brownian nature of the motion - 6.4.6. A Unified Theory of Team Interaction - 6.5. References. - Chapter 7, A first level CTC Process – Fitness conditioning and Skill Training - 7.1. From physics to physiology: defining Performance Indicators - 7.2. Physiological demands in outdoor Team Sports (Football, Rugby, Field Hockey) - 7.2.1. A case study: Fitness Performance Indicators in Field Hockey - 7.2.2. A case study: a 3D kinematics analysis of the field Hockey pushing while in a stationary position - 7.3. References. - Chapter 8, A second level CTC Process – The local strategies and the Competition Invariants - 8.1. Local Strategies: definition - 8.2. Competition Invariants: definition - 8.3. The skills and the local strategies - 8.3.1. The “Closed Skills” - 8.3.2. The “Semi-closed Skills” - 8.3.3. The “Open Skills” - 8.3.4. The invariant features in Team Sports: analysing the “Set Plays Situations” - 8.4. Introduction to the Database Theories, the Data Mining Routines and related technologies - 8.5 Introduction to the Specific Training and Coaching Methods - 8.5.1. New Methods of collecting data - 8.5.2. Drug detection and Match Analysis - 8.6. References. - Chapter 9, A third level CTC Process –The global strategies an the Tactics - 9.1. Global Strategies - 9.1.1. Offensive strategy: general principles - 9.1.2. Defensive strategy: general principles - 9.2. Tactics - 9.3. Functions of the “Semi-closed skills” in strategical planning - 9.4. Matches Databases and Off-Line Analysis - 9.5. The Games Theory applied to the Team Sports: forecasting the Outcome of possible strategies through Data Mining and Artificial Intelligence - 9.6. Real Time Match Analysis Methodologies - 9.7. Introduction to the Specific Training and Coaching Methods - 9.8. Quantitative-Qualitative Match Analysis in Football: Strategy and Tactic - 9.8.1. Materials - 9.8.2. The research rationale - 9.8.3. Methods - 9.8.4. Results - 9.8.5. Discussion - 9.8.6. Conclusion - 9.9. Reference. - Chapter 10, Methodology of Observation and Evaluation Processes - 10.1. Systematic Observation - 10.1.1. Traditional Methods of Data Collections - 10.1.2. Limitations of Traditional Data Collection Methods - 10.2. Primary functions and limitations of Systematic Observation - 10.3. The Process of Systematic Observation - 10.3.1. Deciding what to observe - 10.3.2. Developing Definitions - 10.3.3. Selecting the most appropriate Observation System - 10.3.4. Establishing Observer Reliability - 10.3.5. Making the actual observations - 10.4. Basic Recordings Tactics - 10.4.1. Event Recording - 10.4.2. Duration Recording - 10.4.3. Interval Recording - 10.4.4. Momentary Time Sampling - 10.5. References. - Chapter 11, Match Analysis and the possible Professional Profiles. Introduction - 11.1. Talent Scouting and Guiding - 11.2. Tournament Match Analyst - 11.3. Championship/League Match Analyst - 11.4. The Opposing Teams Match Analyst - 11.5. An Applied Research: the Attitudes of Sport Sciences Students about the Match Analysis process - 11.5.1. Attitudes - 11.5.2. The components of Attitudes - 11.5.3. Measuring the Attitudes: the Scales - 11.5.4. Designing the questionnaire - 11.5.5. The proposed questionnaire - 11.5.6. Statistical Analysis - 11.5.7. Discussion - 11.5.8. - Conclusion. - 11.7. References. - Chapter 12, Descriptive and Probabilistic Statistics applied to Match Analysis - 12.1. Descriptive Statistics mostly applied in Match Analysis - 12.1.1. Measures of Central Tendency and Variability - 12.1.2. Relationships among Variables - 12.1.3. Differences among Groups - 12.1.4. Non Parametric Techniques - 12.2. Probabilistic Statistics mostly applied in Match Analysis - 12.2.1. Introduction to Stochastic Processes - 12.2.2. The Poisson Process - 12.2.3 Markov Chains - 12.2.4. The Wiener Process and the Brownian Motion - 12.2.5. The Elementary Theory of Brownian Motion - 12.2.6. Fractals - 12.2.7. Applications of Brownian Motion in imaging processing - 12.2.8. Image processing and fractals in sports environments - 12.2.9. Applications of Brownian motion - 12.2.10. Conclusions - 12.3. References. - Chapter 13,A Case Study: Field Hockey, Information and Training: the winning duet - 13.1. The sport and the need of specific information - 13.2. Using commercial software 13.3. Designing and developing a new and specific software - 13.4. Analysing the data - 13.5. Using a Data Mining routine: a new perspective to obtain knowledge - 13.6. Results - 13.7. Discussion - 13.8. Data Mining and Knowledge Discovery in Sports Data. A case study from the NBA - 13.9. Data Collection - 13.10. Data pre-processing: cleaning, transformation and enrichment - 13.11. Data Mining - 13.12. Interpretation and knowledge discovery - 13.13. Conclusions - 13.14. References - Conclusions - Appendix : Research Posters, Review of the relevant literatureen
format.extent6481439 bytes-
format.mimetypeapplication/pdf-
language.isoenen
subjectmatch analysisen
subjectmatch analisien
subjectteam sportsen
subjectsituation sportsen
subjectcompetition invariantsen
subjectdata miningen
subjectartificial intelligenceen
subjectqualitative biomechanicsen
subjectquantitative biomechanicsen
subjectgiochi sportivien
subjectsport di situazioneen
subjectinvarianti di competizioneen
subjectdata miningen
subjectintelligenza artificialeen
subjectbiomeccanica qualitativaen
subjectbiomeccanica quantitativaen
subject.classificationM-EDF/02 Metodi e didattiche delle attività sportiveen
titleMatch analysis in team sportsen
typeDoctoral thesisen
degree.nameDottorato in scienze dello sporten
degree.levelDottoratoen
degree.disciplineFacoltà di medicina e chirurgiaen
degree.grantorUniversità degli studi di Roma Tor Vergataen
date.dateofdefenseA.A. 2008/2009en
Appears in Collections:Tesi di dottorato in medicina

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