{"id":6186,"date":"2025-12-02T07:33:42","date_gmt":"2025-12-02T07:33:42","guid":{"rendered":"https:\/\/campus.hesge.ch\/blog-master-is\/?p=6186"},"modified":"2025-12-02T07:33:43","modified_gmt":"2025-12-02T07:33:43","slug":"les-donnees-ouvertes-dans-le-football-quest-ce-que-cest","status":"publish","type":"post","link":"https:\/\/campus.hesge.ch\/blog-master-is\/les-donnees-ouvertes-dans-le-football-quest-ce-que-cest\/","title":{"rendered":"Les donn\u00e9es ouvertes dans le football, qu\u2019est-ce que c\u2019est ?"},"content":{"rendered":"\n<p><strong>Article \u00e9crit par<\/strong> Fonseca Francisco.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Donn\u00e9es de suivi (tracking) vs donn\u00e9es d\u2019\u00e9v\u00e9nements<\/h2>\n\n\n\n<p>Dans le football, on distingue deux grands types de donn\u00e9es. Les donn\u00e9es d\u2019\u00e9v\u00e9nements (event data) d\u00e9crivent les actions avec le ballon : passes, tirs, dribbles, fautes, etc. Elles sont utiles pour comprendre le d\u00e9roulement du jeu, mais leur collecte est chronophage et demande encore beaucoup de travail manuel.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:1400\/1*3jT6Np6g1FC-_k71NgLi8g.png\" alt=\"\" \/><figcaption class=\"wp-element-caption\">Source : <a href=\"https:\/\/jorgemendozarivilla.medium.com\/football-event-data-approach-c3b826cbbcbf\">Football event data approach<\/a><\/figcaption><\/figure><\/div>\n\n\n<p>Les donn\u00e9es de suivi (tracking data), celles qui nous int\u00e9ressent principalement dans ce projet, enregistrent en continu la position des joueurs et du ballon, parfois plusieurs millions de points par match. Elles permettent de mesurer la vitesse, la charge physique ou encore les d\u00e9placements sans ballon. Autrefois r\u00e9serv\u00e9es aux clubs professionnels et aux grandes ligues, elles sont aujourd\u2019hui accessibles aussi aux structures amateures gr\u00e2ce \u00e0 des capteurs et syst\u00e8mes <a href=\"https:\/\/www.clickforfoot.com\/en\/500-gps-insiders\">GPS devenus &#8220;abordables&#8221;<\/a>. Le v\u00e9ritable frein n\u2019est plus le prix du mat\u00e9riel, mais les abonnements li\u00e9s aux plateformes d\u2019analyse, indispensables pour exploiter ces donn\u00e9es.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Friends of Tracking Data Use-case 3 Replay Events with Tracking Data\" width=\"1140\" height=\"855\" src=\"https:\/\/www.youtube.com\/embed\/RhDjOxW_qrY?start=13&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">O\u00f9 trouver ces donn\u00e9es ?<\/h2>\n\n\n\n<p>Quelques entreprises sp\u00e9cialis\u00e9es dans l\u2019analyse du football mettent \u00e0 disposition une partie de leurs donn\u00e9es en libre acc\u00e8s. <a href=\"https:\/\/www.hudl.com\/en_gb\/products\/statsbomb\">StatsBomb<\/a>, par exemple, est une soci\u00e9t\u00e9 anglaise qui fournit des statistiques d\u00e9taill\u00e9es \u00e0 de nombreux clubs professionnels mais publie aussi un <a href=\"https:\/\/github.com\/statsbomb\/open-data?tab=readme-ov-file\">jeu de donn\u00e9es gratuit <\/a>pour la recherche et les amateurs. <a href=\"https:\/\/www.hudl.com\/en_gb\/products\/wyscout\">Wyscout<\/a>, filiale de Hudl, est surtout connue pour sa plateforme vid\u00e9o et d\u2019analyse utilis\u00e9e par les recruteurs ; elle propose aussi des \u00e9chantillons de donn\u00e9es publiques. On trouve \u00e9galement des jeux de donn\u00e9es partag\u00e9s via des plateformes comme <a href=\"https:\/\/www.kaggle.com\/\">Kaggle <\/a>ou <a href=\"https:\/\/fbref.com\/en\/\">FBref<\/a>, qui compilent et diffusent des statistiques issues de diff\u00e9rentes comp\u00e9titions.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/static.hudl.com\/craft\/_2312xAUTO_crop_center-center_none_ns\/hudl-wyscout-storage-video.webp\" alt=\"\" \/><figcaption class=\"wp-element-caption\">Source : <a href=\"https:\/\/www.hudl.com\/en_gb\/products\/wyscout\">Hudl Wyscout<\/a><\/figcaption><\/figure><\/div>\n\n\n<p>Ces ressources ouvertes sont limit\u00e9es par rapport aux bases de donn\u00e9es payantes des clubs pros, mais elles constituent une opportunit\u00e9 pr\u00e9cieuse pour d\u00e9mocratiser l\u2019analyse du football et tester des m\u00e9thodes d\u2019analyse avanc\u00e9es sans frais prohibitifs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Comment les collecte-t-on ces donn\u00e9es ?<\/h2>\n\n\n\n<p>Il existe plusieurs approches pour collecter des donn\u00e9es dans le football. Les event data sont souvent saisies via un m\u00e9lange de vision par ordinateur et d\u2019annotation humaine, ce qui reste co\u00fbteux et peu adapt\u00e9 aux petits clubs.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/1*R2kvpww1mbwVPFoyZ0poNA.png\" alt=\"\" \/><figcaption class=\"wp-element-caption\">Source : <a href=\"https:\/\/jorgemendozarivilla.medium.com\/football-event-data-approach-c3b826cbbcbf\">Football event data approach<\/a><br><a href=\"https:\/\/jorgemendozarivilla.medium.com\/?source=post_page---byline--c3b826cbbcbf---------------------------------------\"><\/a><\/figcaption><\/figure><\/div>\n\n\n<p>Dans ce projet, l\u2019accent est mis sur les tracking data, g\u00e9n\u00e9r\u00e9es par les syst\u00e8mes <a href=\"https:\/\/inside.fifa.com\/innovation\/standards\/epts\/epts-1\">Electronic Performance &amp; Tracking Systems (EPTS)<\/a> reconnus par la FIFA. Ces dispositifs reposent sur des GPS port\u00e9s par les joueurs, des capteurs int\u00e9gr\u00e9s aux maillots ou des cam\u00e9ras optiques autour du terrain. Ils produisent des volumes massifs d\u2019informations spatio-temporelles exploitables pour l\u2019analyse tactique et physique. Aujourd\u2019hui, des solutions propos\u00e9es par des entreprises comme <a href=\"https:\/\/insiders.live\/\">Insiders <\/a>ou <a href=\"https:\/\/fieldwiz-benelux.com\/\">FieldWiz <\/a>sont financi\u00e8rement &#8220;accessibles&#8221; aux clubs amateurs. Toutefois, si les capteurs sont relativement abordables, l\u2019acc\u00e8s aux fonctionnalit\u00e9s d\u2019analyse reste conditionn\u00e9 par des plans de souscription, qui constituent souvent le principal frein.<\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-1 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/insiders.live\/wp-content\/themes\/yootheme\/cache\/84\/Insiders_Inspirit_Side-1-843334d0.webp\" alt=\"\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/insiders.live\/wp-content\/uploads\/2023\/02\/Inspirit-1-scaled.jpg\" alt=\"\" style=\"width:495px;height:auto\" \/><\/figure>\n<\/div>\n\n\n\n<p class=\"has-text-align-center\">Source : <a href=\"https:\/\/insiders.live\/inspirit\/\">Insiders Inspirit<\/a><\/p>\n\n\n\n<p>En parall\u00e8le, certaines entreprises comme <a href=\"https:\/\/www.bepro.ai\/\">BePro <\/a>ou <a href=\"https:\/\/ubitrack.eu\/\">Ubitrack <\/a>proposent des solutions bas\u00e9es sur la vision par ordinateur et l\u2019intelligence artificielle. Elles fournissent \u00e0 la fois le mat\u00e9riel (cam\u00e9ras, syst\u00e8mes de capture) et les logiciels pour analyser automatiquement les matchs. Mais l\u00e0 encore, le mod\u00e8le \u00e9conomique repose sur des <a href=\"https:\/\/www.bepro.ai\/cerberus-sport-ai-camera\">abonnements<\/a>, ce qui limite leur accessibilit\u00e9. <\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-2 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/cdn.prod.website-files.com\/617027a2dbc3e55cf3bbce77\/6627bf07625749744e036ae7_cerberus-feature-0-p-500.avif\" alt=\"\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/cdn.prod.website-files.com\/617027a2dbc3e55cf3bbce77%2F673ea27577fb6b5cf0bf5718_7%20Al%20Ain%20Tracking_1080_optimized-poster-00001.jpg\" alt=\"\" style=\"width:533px;height:auto\" \/><\/figure>\n<\/div>\n\n\n\n<p class=\"has-text-align-center\">Source : <a href=\"https:\/\/www.bepro.ai\/cerberus-sport-ai-camera\">BePro AI (Portable Camera)<\/a><\/p>\n\n\n\n<p>Enfin, quelques projets amateurs exp\u00e9rimentent avec des biblioth\u00e8ques open source avanc\u00e9es comme <a href=\"https:\/\/github.com\/ultralytics\/ultralytics\">YOLO (You Only Look Once)<\/a>, utilis\u00e9es pour d\u00e9tecter joueurs et ballon \u00e0 partir de vid\u00e9os. Ces alternatives sont prometteuses mais restent encore moins pr\u00e9cises et robustes que les solutions propos\u00e9es par les grandes entreprises sp\u00e9cialis\u00e9es.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Football Players Tracking | YOLOv5 + ByteTRACK | Google Colab | step-by-step Tutorial\" width=\"1140\" height=\"641\" src=\"https:\/\/www.youtube.com\/embed\/QCG8QMhga9k?start=51&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Ce que nous cherchons \u00e0 accomplir avec ce projet<\/h2>\n\n\n\n<p>L\u2019objectif de ce projet est de montrer comment les donn\u00e9es ouvertes peuvent devenir un outil concret pour les clubs amateurs. Aujourd\u2019hui, les grandes \u00e9quipes professionnelles disposent de d\u00e9partements entiers d\u00e9di\u00e9s \u00e0 l\u2019analyse de la performance. En revanche, les petites structures ont rarement acc\u00e8s \u00e0 ces ressources, alors m\u00eame qu\u2019elles pourraient en tirer de r\u00e9els b\u00e9n\u00e9fices : mieux comprendre leurs forces et faiblesses, optimiser leurs entra\u00eenements ou encore pr\u00e9venir certaines blessures.<\/p>\n\n\n\n<p>Concr\u00e8tement, ce travail cherche \u00e0 d\u00e9montrer l\u2019utilit\u00e9 pratique des tracking data en contexte amateur. L\u2019id\u00e9e n\u2019est pas seulement de dresser un inventaire des bases de donn\u00e9es disponibles, mais d\u2019exp\u00e9rimenter leur exploitation \u00e0 travers un prototype d\u2019analyse simple et reproductible. Ce prototype pourra, par exemple, mettre en \u00e9vidence des sch\u00e9mas de jeu, des zones d\u2019occupation du terrain ou encore la charge physique des joueurs. L\u2019accent est donc mis sur la valeur ajout\u00e9e que peuvent offrir ces donn\u00e9es lorsqu\u2019elles sont exploit\u00e9es intelligemment, m\u00eame avec des moyens limit\u00e9s.<\/p>\n\n\n\n<p>En r\u00e9sum\u00e9, il s\u2019agit de d\u00e9mocratiser l\u2019analytique footballistique : <strong>prouver qu\u2019avec des donn\u00e9es ouvertes, des outils accessibles et un peu de savoir-faire, les clubs amateurs peuvent s\u2019inspirer des m\u00e9thodes des professionnels et en retirer une vraie valeur pour leur quotidien.<\/strong><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/campus.hesge.ch\/blog-master-is\/wp-content\/uploads\/2025\/09\/ChatGPT-Image-Sep-12-2025-09_16_21-PM-1024x683.png\" alt=\"\" class=\"wp-image-6194\" srcset=\"https:\/\/campus.hesge.ch\/blog-master-is\/wp-content\/uploads\/2025\/09\/ChatGPT-Image-Sep-12-2025-09_16_21-PM-1024x683.png 1024w, https:\/\/campus.hesge.ch\/blog-master-is\/wp-content\/uploads\/2025\/09\/ChatGPT-Image-Sep-12-2025-09_16_21-PM-300x200.png 300w, https:\/\/campus.hesge.ch\/blog-master-is\/wp-content\/uploads\/2025\/09\/ChatGPT-Image-Sep-12-2025-09_16_21-PM-768x512.png 768w, https:\/\/campus.hesge.ch\/blog-master-is\/wp-content\/uploads\/2025\/09\/ChatGPT-Image-Sep-12-2025-09_16_21-PM.png 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Source : image g\u00e9n\u00e9r\u00e9e par IA<\/figcaption><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\">Bibliographie<\/h2>\n\n\n\n<p>ADMIN, 2023. How the Association Suisse de Football (ASF) uses Inspirit to better understand individual peformances. <em>insiders<\/em> [en&nbsp;ligne]. 1&nbsp;mars&nbsp;2023. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/insiders.live\/partner-stories\/how-the-association-suisse-de-football-asf-uses-inspirit-to-better-understand-individual-peformances\/ [consult\u00e9 le 29&nbsp;mai&nbsp;2025].<\/p>\n\n\n\n<p>AI Football Stats for Clubs &amp; Federations | Ubitrack, 2025 [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/ubitrack.eu\/federations-and-clubs\/ [consult\u00e9 le 9&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>ANAGNOSTOPOULOS, Grigorios G., 2025. Catalogue des projets de recherche &#8211; M4 Recherche II &#8211; Projet de recherche. [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/cyberlearn.hes-so.ch\/mod\/resource\/view.php?id=437728<\/p>\n\n\n\n<p>Analysis Software, Cameras and Data for Sports Teams | BEPRO, [en&nbsp;ligne]. 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Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/fbref.com\/en\/ [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p><em>fotd_widgets_thumbnail.png (1382\u00d71346)<\/em>,&nbsp; [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/seidlr.github.io\/blog\/images\/fotd_widgets_thumbnail.png [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>FRANCISCO, Fonseca. Open Data for Football Analytics. .<\/p>\n\n\n\n<p>Genius Sports | Official Sports Data, Analytics &amp;amp; Technology Provider, [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/www.geniussports.com\/ [consult\u00e9 le 30&nbsp;mai&nbsp;2025].<\/p>\n\n\n\n<p>GPS Football, Gps soccer sensor, GPS sensor &#8211; Insiders &#8211; FieldWiz, <em>Click for Foot<\/em> [en&nbsp;ligne]. 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Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/insiders.live\/inspirit\/ [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p><em>Inspirit-1-scaled.jpg (2560\u00d71707)<\/em>,&nbsp; [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/insiders.live\/wp-content\/uploads\/2023\/02\/Inspirit-1-scaled.jpg [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>JOCHER, Glenn, 2020. <em>YOLOv5 by Ultralytics<\/em> [logiciel]. Version 7.0. mai&nbsp;2020. DOI&nbsp;10.5281\/zenodo.3908559.<\/p>\n\n\n\n<p>JOCHER, Glenn, QIU, Jing et CHAURASIA, Ayush, 2023. <em>Ultralytics YOLO<\/em> [logiciel]. Version 8.0.0. janvier&nbsp;2023. [consult\u00e9 le 4&nbsp;septembre&nbsp;2025]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/github.com\/ultralytics\/ultralytics [consult\u00e9 le 4&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>Model &amp; API, <em>Roboflow<\/em> [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/universe.roboflow.com\/roboflow-jvuqo\/football-players-detection-3zvbc\/model\/2 [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>notebooks\/notebooks\/how-to-track-football-players.ipynb at main \u00b7 roboflow\/notebooks, <em>GitHub<\/em> [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/github.com\/roboflow\/notebooks\/blob\/main\/notebooks\/how-to-track-football-players.ipynb [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>rajveersinghcse\/Football-Analysis-using-YOLO: \u26bdEmpowering football enthusiasts with in-depth match analysis using YOLO object detection for player tracking, speed calculation, team dynamics, and camera movement insights., [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/github.com\/rajveersinghcse\/Football-Analysis-using-YOLO?tab=readme-ov-file [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>RIVILLA, Jorge Mendoza, 2023a. Football event data approach. <em>Medium<\/em> [en&nbsp;ligne]. 20&nbsp;mai&nbsp;2023. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/jorgemendozarivilla.medium.com\/football-event-data-approach-c3b826cbbcbf [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>RIVILLA, Jorge Mendoza, 2023b. Football event data approach. <em>Medium<\/em> [en&nbsp;ligne]. 20&nbsp;mai&nbsp;2023. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/jorgemendozarivilla.medium.com\/football-event-data-approach-c3b826cbbcbf [consult\u00e9 le 30&nbsp;mai&nbsp;2025].<\/p>\n\n\n\n<p>ROBERT SEIDL, 2020. <em>Friends of Tracking Data Use-case 3 Replay Events with Tracking Data<\/em> [en&nbsp;ligne]. 2020. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/www.youtube.com\/watch?v=RhDjOxW_qrY [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>ROBOFLOW, 2022. <em>Football Players Tracking | YOLOv5 + ByteTRACK | Google Colab | step-by-step Tutorial<\/em> [en&nbsp;ligne]. 2022. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/www.youtube.com\/watch?v=QCG8QMhga9k [consult\u00e9 le 4&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>ROBOFLOW, 2024. <em>Football AI Tutorial: From Basics to Advanced Stats with Python<\/em> [en&nbsp;ligne]. 2024. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/www.youtube.com\/watch?v=aBVGKoNZQUw [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>Roboflow: Computer vision tools for developers and enterprises, [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/roboflow.com [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>SENN, William, 2024. Addressing evaluation challenges on the expected goals (xG) metric in football analysis. [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/sonar.rero.ch\/global\/documents\/331251 [consult\u00e9 le 28&nbsp;mai&nbsp;2025].<\/p>\n\n\n\n<p>TALKSPORTSDATA, 2020. An Interactive Visualisation of Football Tracking Data. <em>talksportsdata<\/em> [en&nbsp;ligne]. 11&nbsp;avril&nbsp;2020. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/seidlr.github.io\/blog\/friends%20of%20tracking%20data\/fotd\/widgets\/bqplot\/qgrid\/tracking%20data\/metrica%20sports\/2020\/04\/11\/interactive-football-pitch.html [consult\u00e9 le 12&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>Track Football Players with Computer Vision, 2022<em>Roboflow Blog<\/em> [en&nbsp;ligne]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/blog.roboflow.com\/track-football-players\/ [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n\n\n\n<p>YOUSSSEF, mohamed, 2025. <em>JooZef315\/football-tracking-data-from-TV-broadcast<\/em> [logiciel] [en&nbsp;ligne]. 10&nbsp;juillet&nbsp;2025. [consult\u00e9 le 2&nbsp;septembre&nbsp;2025]. Disponible \u00e0 l\u2019adresse&nbsp;: https:\/\/github.com\/JooZef315\/football-tracking-data-from-TV-broadcast [consult\u00e9 le 2&nbsp;septembre&nbsp;2025].<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Les donn\u00e9es ouvertes transforment peu \u00e0 peu l\u2019analyse du football. Entre event data (passes, tirs, dribbles) et tracking data (positions, vitesses, d\u00e9placements), ces ressources offrent aujourd\u2019hui aux clubs amateurs des possibilit\u00e9s autrefois r\u00e9serv\u00e9es aux professionnels. Ce billet explore o\u00f9 trouver ces donn\u00e9es, comment elles sont collect\u00e9es et en quoi elles peuvent devenir un outil concret pour am\u00e9liorer la performance dans le football amateur.<\/p>\n","protected":false},"author":137,"featured_media":6192,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22,15,12],"tags":[28,459],"class_list":["post-6186","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-curation-des-donnees","category-information-donnees","category-reflexion-is","tag-donnees","tag-football"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Les donn\u00e9es ouvertes dans le football, qu\u2019est-ce que c\u2019est ? - Recherche d&#039;Id\u00e9eS<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/campus.hesge.ch\/blog-master-is\/les-donnees-ouvertes-dans-le-football-quest-ce-que-cest\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Les donn\u00e9es ouvertes dans le football, qu\u2019est-ce que c\u2019est ? - Recherche d&#039;Id\u00e9eS\" \/>\n<meta property=\"og:description\" content=\"Les donn\u00e9es ouvertes transforment peu \u00e0 peu l\u2019analyse du football. 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