{"id":44226,"date":"2021-06-25T13:39:20","date_gmt":"2021-06-25T11:39:20","guid":{"rendered":"https:\/\/www.h-its.org\/de\/?p=44226"},"modified":"2021-06-25T13:39:20","modified_gmt":"2021-06-25T11:39:20","slug":"fussball-em-vorhersage","status":"publish","type":"post","link":"https:\/\/www.h-its.org\/de\/2021\/06\/25\/fussball-em-vorhersage\/","title":{"rendered":"Stammbaumberechnung trifft auf Fu\u00dfball"},"content":{"rendered":"\n

Forscher der Computational Molecular Evolution (CME) Gruppe am HITS haben nun den Verlauf der Fu\u00dfball-EM mit einem Algorithmus aus der Bioinformatik berechnet. Laut ihren Berechnungen stehen sich im Finale der Fu\u00dfball-EM 2021 sehr wahrscheinlich Frankreich und England gegen\u00fcberstehen, wobei England eine etwas h\u00f6here Chance hat, Europameister zu werden. Die Prognose wurden von Alexandros Stamatakis, Forschungsgruppenleiter am Heidelberger Institut f\u00fcr Theoretische Studien (HITS) und Professor f\u00fcr High Performance Computing am Karlsruher Institut f\u00fcr Technologie (KIT) angestellt.<\/strong><\/p>\n\n\n\n

\u201eDie Berechnung von Turniersiegern \u00e4hnelt den Algorithmen zur Rekonstruktion von evolution\u00e4ren Beziehungen zwischen verschiedenen Arten im Bereich der Phylogenetik\u201c, erkl\u00e4rt der Informatiker. \u201eDaher lassen sich Turnierverl\u00e4ufe mit \u00e4hnlichen Methoden wie Stammb\u00e4ume berechnen.\u201c Die Phylogenetik besch\u00e4ftigt sich der Erforschung von Abstammungen bei Lebewesen. Gemeinsam mit seinem Doktoranden Ben Bettisworth am HITS hat Alexandros Stamatakis das neue Software-Tool \u201ePhylourny\u201c entwickelt, um den Verlauf der K.-o.-Phase von Turnieren zu prognostizieren, und seine Funktion anhand der Fu\u00dfball-EM 2021 demonstriert.<\/p>\n\n\n\n

\u201eWir haben dazu einen Algorithmus aus der Bioinformatik angepasst\u201c, erl\u00e4utert Bettisworth. \u201eUnser Ansatz zeichnet sich dadurch aus, dass wir viele m\u00f6gliche Turnierverl\u00e4ufe nicht mehr langwierig und mit gewissen Abweichungen von den exakten Werten simulieren m\u00fcssen, sondern den Turnierverlauf effizient und exakt berechnen k\u00f6nnen \u2013 immer bei gegebenen Gewinnwahrscheinlichkeiten.\u201c<\/p>\n\n\n\n

Neben besseren und schnelleren Vorhersagen k\u00f6nnte die Arbeit der Bioinformatiker k\u00fcnftig auch die Entwicklung neuer Methoden zur Berechnung von Gewinnwahrscheinlichkeiten erm\u00f6glichen. Die Forscher stellen ihre Software als Open-Source-Code zur Verf\u00fcgung.<\/p>\n\n\n\n

Weitere Informationen:<\/strong> Phylourny: Predicting the Knock-out-phase of Tournaments via Phylogenetic Methods by example of the UEFA EURO 2020. https:\/\/cme.h-its.org\/exelixis\/pubs\/phylourny.pdf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Forscher der Computational Molecular Evolution (CME) Gruppe am HITS haben nun den Verlauf der Fu\u00dfball-EM mit einem Algorithmus aus der …<\/p>\n","protected":false},"author":6,"featured_media":44227,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1,92],"hits-research-group":[1282],"class_list":["post-44226","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gruppen-news","category-wissenschaftsnews","hits-research-group-cme-de"],"acf":[],"yoast_head":"\nStammbaumberechnung trifft auf Fu\u00dfball - HITS gGmbH<\/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:\/\/www.h-its.org\/de\/2021\/06\/25\/fussball-em-vorhersage\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Stammbaumberechnung trifft auf Fu\u00dfball - 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