Introduzione alla Match Analysis nei giochi sportivi, Università Foro Italico

Slide dall'Università degli Studi di Roma "foro Italico" su AA 2023/24 – Insegnamento di Giochi Sportivi. Il Pdf, utile per studenti universitari di Educazione fisica, introduce la Match Analysis, le tecniche di raccolta dati e l'analisi delle aree di gioco, con esempi visivi.

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Introduzione alla Match Analysis
Prof. Antonio Tessitore, PhD
AA 2023/24 Insegnamento di
Giochi Sportivi
LOsservazione
Occasionale
Casuale
Soggettiva
Osservazione Naturale
Ripetibile
Organizzata
Oggettiva
Osservazione Sistematica
Osservazione
Sistematica
Procedure Sistematiche
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aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore Introduzione alla Match Analysis

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EGL UL UNIVERSITÀ ROMA "FORO ITALICO" 1928

AA 2023/24 - Insegnamento di Giochi Sportivi Introduzione alla Match Analysis Prof. Antonio Tessitore, PhD

L'Osservazione

Osservazione Naturale

  • " Occasionale "
  • " Casuale "
  • " Soggettiva "

Osservazione Sistematica

  • " Ripetibile "
  • " Organizzata "
  • " Oggettiva "

Osservazione Sistematica e Procedure

Osservazione Sistematica + Procedure Sistematiche

"TORO ITALICO' 1028 aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis

Match Analysis

3 8 A 15 35 32 V 21 37 17 4 Î @ Data Video 2007 Professional File Videos Scouting Synchronization Analysis Montage Tools View ? Statistics Open scouting layout. Match 17 January 2011, Start 17.00 Servizi d'ingegneria x2 Risanamento ed ambiente Impianti ed energia FINITURA LACCATURA SENIGALLIA Spiaggia di velluto Ma HIVETREDIA 15 nuova radar eder VINU SURI TULINI Piccolo LIDO vitalcare *ENDACT 1.13.29 2 a06RP+MA 1.13.32 2 806TI-OK 1.13.39 2 SENDACT 1.13.39 2 *OSRP+MA 1.13.43 *OSPP-FL 1.14.01 2 PENDACT 1.14.01 2 806FL+PA 1 1.14.07 2 806PP-CT 1.14.31 2 aENDACT 1.14.31 2 *05PP-CT 1 1.14.33 *ENDACT 1.14.33 806RP+MA 1 1.14.35 2 a06RP+PP 1.14.47 Z 806PP-CT 1.14.53 SENDACT : 1.14.53 *OSPP-CT 1 1.14.55 *ENDACT 1.14.55 806PP-FL 1.14.58 2 BENDACT 1 1.14.58 *OSFL+PA 1.15.13 2 *OSRP+PP 1.15.15 12 *05PP-FL 1.15.24 2 PENDACT 1.15.24 2 806PL+PA 1 1.15.37 2 E12 - align code Align video no. 1 Scrolls the codes list according to the video 7 *OSRP+MA 1.12.55 2 *05FL+PA 1.13.16 *05PP-CT 1.13.29 2 Linea 5A AUTOSCUOLA DUR arzett las 0.42.336 1-24.56 . Synchronization × Code: 557 /557 Coda time code Per 80611-5X 1 1.12.49 SENDACT 1.12.49 HUNDAVALI E CMU 20 GAINS "FORO ITALICO' 1978 aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis x una vacanza.da favola - - --- --

Analizzare la partita

2Analizzare la partita: Eventi della partita Chris Stanford/Getty Images Efficacia delle azioni di gioco Adecco Modena 3 Strategie e comportamenti di gioco GAINS NOM "TORO ITALICO' 1928 aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis

Origini Match Analysis

Primi studi sul Basketball

Loyd Messersmith Championship Basket Ball game In May 1942, Loyd Mesersmith submitted his dissertation to the School of Education, at Indiana University. Its title was: The Development Of A Measurement Technique For Determining The Distances Traversed By Players in Basketball The dissertation has 79 pages, 13 tables and cites eleven references. It is divided into 10 chapters. GAINS "FORO ITALICO' 1978 aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis

Origini Match Analysis: Apparato De Pauw University

L'apparato sviluppato alla De Pauw University ed utilizzato per gli studi di Messersmith GAINS "FORO ITALICO' 1978 aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis

Summary of Lloyd Messersmith's Research Reports 1931-1938

Summary of Research Reports 1939-1944

Content Messersmith & Corey (1931) Messersmith & Fay (1932) Fay & Messersmith (1938) Content Messersmith & Bucher (1939) Messersmith Laurence & Randels (1940) Messersmith (1944) Keywords Distance Traversed Basketball Player Distances Traversed Football Players Rule Changes Distance Traversed Basketball Players Keywords Distance Traversed Big Ten Basketball Players Distances Traversed College Men College Women Basketball Distance Traveled Basketball Players Methodology 1. Real-Time Player Track in Game 2.Electric Pursuit Apparatus 1. Real-Time Track in Practice and Game Play 1. Real-Time Track in Game Play 2. Electrical Pursuit Apparatus Methodology A continuation of earlier studies: real-time player track with electrical pursuit apparatus A continuation of earlier studies: real-time player track with electrical pursuit apparatus Development of a measuring device for measurement of distance traversed by individuals. Procedures discussed. Sometimes used three boards at a game. Sample Size Three games chosen from several studied during 1938-39 season: Indiana centre (W Menke); Indiana guard (Armstrong); Minnesota guard (Kundla). DePauw University intra-mural games 1939- 1940 season. Twenty games selected at random reported here (10 male and 10 female games) 200 players from variety of ability levels at DePauw University, Indiana University, Greencastle High School. Tracks of players who played whole game. Data Collected Distances traversed in offense and defense. Distances traversed in whole game Distances traveled per unit of playing time on offense and defense Validity/ Reliability Different observers used pursuit apparatus with "no noticeable difference". Validated scale measurements of the pursuit apparatus. "any inaccuracy in the results obtained would lie in the inability of the operator to duplicate accurately ... the movements of the player on the football gridiron." Validated scale measurements of the pursuit apparatus "so any inaccuracy in the result lies in the inability of the operator to follow accuratel the movements of the player." Results 1. Player traversed similar distances first and second half. 1. Distances reported for 3 players in: offense and defense; 'time in' & 'time out'. 1. Distances traveled consistently greater than in 1931 data. 2. Traversed approx 608' every two minutes. 2. No conclusion about effect of rule changes. 3. Distances traveled were up to 3.97 miles compared to 2.50 miles in 1931. Results Distance traversed offense and defense similar to games at college level but more than high school players. Range of Big Ten Players was 3.46 to 3.89 miles. Distances traversed by men were approximately twice that traversed by women per unit of playing time. Discussed in relation to: effect of floor size on distance traversed - a direct influence; effect of rule changes - impact of removal of centre jump. Distances traversed "TORO ITALICO" 1978 5. The player traversed a distance of 2.34 miles. No explicit discussion No explicit discussion Validity of measuring instrument discussed: accuracy checked. Any inaccuracy "due to the inability of the operator to follow accurately the movements of the player under observation." "Errors of over and underestimation probably canceled." Reliability of data discussed. Experimenters trained. Checks at one game gave error between observers of 3.5% but then reports different data? 3. There were 92 changes of possession in the game. 4.Much greater distances were traversed in attack. 3. Additional data presented from other games. Data set of several games played by DePauw University basketball team. Three games reported. Tracks of guard, centre and forward. Data Collected 1. Student estimates of anticipated distance 1. Distances traversed in: offense and defense; 'time in' and 'time out'. 2. All four quarters notated. 1. Distance traversed traversed. Distance traversed noted every two minutes. 3. Recorded changes of possession from defense to offense. Three games (two college and one high school) one player traced in each game analysed. Traced: right half-back; left end; half- back. 2. Electrical Pursuit Apparatus Sample Size A trace of the DePauw University floor guard v Miami University (whole game). 2. Recorded changes of possession from defense to offense. Validity/ Reliability 2. Activity pattern was comparatively regular during four quarters of play. aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis

Origini e Sviluppo

Anni '70: introduzione della Time Motion Analysis nel Football (association)

A MOTION ANALYSIS OF WORK-RATE IN DIFFERENT POSITIONAL ROLES IN PROFESSIONAL FOOTBALL MATCH-PLAY THOMAS REILLY AND VAUGHAN THOMAS Physical Education Department, Liverpool .Polytechnic. England. Abstract A methodology to assess work-rate in competitive professional football was designed and validated. The technique required monitoring by observation the intensity and extent of discrete activities during match-play and was found to have a measurement error of less than one percent. Performance was observed over 51 games. A complete match typically involved approximately nine hundred separate movement activities per player. The overall distance covered per game was observed to be a function of positional role. the greatest distance covered in outfield players being in mid-fielders, the least in centre-backs. 1. Introduction The consumption of oxygen during perfor- mance in competitive sport provides an indication of the physiological strain incurred in the organism. An inherent short- coming of indirect calorimetry is the effect that carrying such devices as Douglas bags and respirometers has on the performance being monitored. The physiological strain on an individual can alternatively be indi- cated by the heart rate or body temperature reaction (Rozenblat & Solonin, 1966). The measurement of these parameters is also impracticable during competitive play. The energy expended in performance is directly related to mechanical work output, a measure of which in a field-invasive game is the total distance covered. Pollock (1968) suggested how a time-motion analysis can be used to quantify a training prescription but his technique has no utility as an evalua- tive tool. Published data on distance covered during a complete game of profes- sional football exhibit large discrepancies. Invariably a description of the methodology for measuring distance is not offered. Wade (1962) reported a range of 1750- 6000 yd (1600-5486m) for distance covered during 90 min competition. The total dis- tance covered at speed was attributed a range of 250-2000 yd.(229-1829m) and walk- ing or jogging pace a range of 1500-4000 yd (1371-3658m). No indication was given of how these figures were derived. At the upper extreme Vinnai (1973) cited Russian reports of footballers covering up to 17 km during a match. No reference was made to methodol- ogy Knowles and Brooke (1974) gave a mean Figure 1 Map of experimental home ground. 10m 10m 10m 10m 10m 10m 10m 10m 10m 10m 16.5m 8m 8m 9m 9m 9m 9m 8m 8m 16.5m 15m 10.5m 25m 16m 37m 18m F5.5m 9.5m 16.5m- 10m 10m 10m 10m 10m 10m 10m 10m 10m 10m Reilly, T. & Thomas, V. (1976). A motion analysis of work-rate in different positional roles in professional football match- play. Journal of human movement studies, 2(2), 87-97. GAINS "FORO ITALICO" aa 2023/24 - Insegnamento di Giochi Sportivi - Prof. Tessitore - Introduzione alla Match Analysis

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