{"id":10531,"date":"2026-06-05T13:21:45","date_gmt":"2026-06-05T10:21:45","guid":{"rendered":"https:\/\/dbsnewsmedia.com\/?p=10531"},"modified":"2026-06-05T13:21:45","modified_gmt":"2026-06-05T10:21:45","slug":"dunya-kupasinin-en-guclu-takimlari-aciklandi-turkiyenin-listedeki-yeri-merak-uyandirdi","status":"publish","type":"post","link":"https:\/\/dbsnewsmedia.com\/?p=10531","title":{"rendered":"D\u00fcnya Kupas\u0131’n\u0131n En G\u00fc\u00e7l\u00fc Tak\u0131mlar\u0131 A\u00e7\u0131kland\u0131: T\u00fcrkiye’nin Listedeki Yeri Merak Uyand\u0131rd\u0131"},"content":{"rendered":"\n

Avusturya’daki Innsbruck \u00dcniversitesi ile Almanya’daki Dortmund Teknik \u00dcniversitesi’nden ara\u015ft\u0131rmac\u0131lar, geli\u015fmi\u015f yapay zeka ve makine \u00f6\u011frenimi y\u00f6ntemleriyle 2026 D\u00fcnya Kupas\u0131’na y\u00f6nelik kapsaml\u0131 bir analiz ger\u00e7ekle\u015ftirdi. Bahis piyasalar\u0131ndaki oranlar, tak\u0131m performanslar\u0131, oyuncu istatistikleri ve ge\u00e7mi\u015f turnuva verileri dahil milyonlarca veri noktas\u0131n\u0131 inceleyen model, turnuvay\u0131 sanal ortamda 100 bin kez sim\u00fcle etti. Elde edilen sonu\u00e7lar, \u015fampiyonluk i\u00e7in en g\u00fc\u00e7l\u00fc adaylar\u0131 ortaya koyarken, A Milli Futbol Tak\u0131m\u0131’n\u0131n turnuvadaki olas\u0131 performans\u0131na ili\u015fkin dikkat \u00e7ekici tahminler de sundu.<\/strong><\/p>\n\n\n\n

Futbol d\u00fcnyas\u0131n\u0131n g\u00f6z\u00fc kula\u011f\u0131 11 Haziran\u2019da Kuzey Amerika k\u0131tas\u0131nda ba\u015flayacak olan tarihinin en geni\u015f kapsaml\u0131 FIFA D\u00fcnya Kupas\u0131<\/strong>\u2019na \u00e7evrilmi\u015fken, spor d\u00fcnyas\u0131na yapay zek\u00e2<\/strong> ve istatistik <\/strong>biliminin ortakl\u0131\u011f\u0131ndan do\u011fan dev bir veri analizi damga vurdu. Avusturya\u2019daki Innsbruck \u00dcniversitesi ile Almanya\u2019daki Dortmund Teknik \u00dcniversitesi (TU Dortmund) liderli\u011findeki uluslararas\u0131 veri bilimcileri ekibi, hibrit bir makine \u00f6\u011frenmesi algoritmas\u0131 kullanarak kupan\u0131n \u015fampiyonluk haritas\u0131n\u0131 \u00e7\u0131kard\u0131.<\/p>\n\n\n\n

Turnuvada yer alacak 48 tak\u0131m\u0131n son 8 y\u0131ldaki t\u00fcm uluslararas\u0131 ma\u00e7lar\u0131n\u0131, oyuncular\u0131n g\u00fcncel piyasa de\u011ferlerini, form grafiklerini ve k\u00fcresel \u00e7aptaki 24 farkl\u0131 b\u00fcy\u00fck bahis \u015firketinin verilerini “Random Forest” (Rastgele Orman)<\/strong> ad\u0131 verilen algoritma havuzuna b\u0131rakan ara\u015ft\u0131rmac\u0131lar, kupay\u0131 tam 100 bin kez<\/strong> sim\u00fcle etti. Ortaya \u00e7\u0131kan bilimsel sonu\u00e7lar, futbolun sadece ye\u015fil sahada de\u011fil, veri tabanlar\u0131nda da b\u00fcy\u00fck bir strateji sava\u015f\u0131na d\u00f6n\u00fc\u015ft\u00fc\u011f\u00fcn\u00fc kan\u0131tlar nitelikte.<\/p>\n\n\n\n

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M\u0130LYONLARCA VER\u0130 MERCEK ALTINDA: YAPAY ZEKA SONUCU A\u00c7IKLADI<\/strong><\/h3>\n\n\n\n

Bilim insanlar\u0131n\u0131n \u015fampiyonu belirlemek i\u00e7in kulland\u0131\u011f\u0131 metodoloji, geleneksel tahmin y\u00f6ntemlerinin \u00e7ok \u00f6tesinde bir veri m\u00fchendisli\u011fine dayan\u0131yor. Ara\u015ft\u0131rma ekibi, turnuvaya kat\u0131lacak t\u00fcm \u00fclkelerin son y\u0131llarda oynad\u0131\u011f\u0131 resmi ve haz\u0131rl\u0131k ma\u00e7lar\u0131n\u0131, futbolcular\u0131n g\u00fcncel form grafiklerini, sakatl\u0131k raporlar\u0131n\u0131 ve k\u00fcresel bahis \u015firketlerinin sundu\u011fu dinamik oranlar\u0131 mercek alt\u0131na ald\u0131.<\/p>\n\n\n\n

Elde edilen t\u00fcm bu parametreler, makine \u00f6\u011frenimi (machine learning)<\/strong> tabanl\u0131 \u00f6zel bir algoritma ile sim\u00fcle edildi. Geli\u015ftirilen sistemin \u00e7al\u0131\u015fma prensibini a\u00e7\u0131klayan uzmanlar, algoritman\u0131n sadece genel bir \u015fampiyonluk tahmini yapmad\u0131\u011f\u0131n\u0131, 48 tak\u0131m aras\u0131nda oynanmas\u0131 muhtemel olan t\u00fcm e\u015fle\u015fme kombinasyonlar\u0131n\u0131 ve bu ma\u00e7larda at\u0131lacak olas\u0131 gol say\u0131lar\u0131n\u0131 tek tek hesaplad\u0131\u011f\u0131n\u0131 belirtti.<\/p>\n\n\n\n

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<\/a><\/p>\n\n\n\n

KUPANIN EN B\u00dcY\u00dcK FAVOR\u0130S\u0130: BO\u011eALAR L\u0130DERL\u0130\u011e\u0130 KAPTI<\/strong><\/h3>\n\n\n\n

Geli\u015ftirilen yapay zek\u00e2 modelinin \u00e7\u0131kt\u0131s\u0131na g\u00f6re, 2026 D\u00fcnya Kupas\u0131\u2019n\u0131 m\u00fczesine g\u00f6t\u00fcrme olas\u0131l\u0131\u011f\u0131 en y\u00fcksek tak\u0131m y\u00fczde 14.5 ile \u0130spanya <\/strong>oldu. Son Avrupa \u015eampiyonas\u0131’ndaki dominant oyununu matematiksel form\u00fcllere de yans\u0131tan “Matadorlar”, turnuvan\u0131n bir numaral\u0131 favorisi konumunda. \u0130spanya’y\u0131, her turnuvan\u0131n do\u011fal ancak bir o kadar da \u015fanss\u0131z favorisi olan \u0130ngiltere takip ediyor. Algoritma, \u0130ngilizlerin \u015fampiyonluk ihtimalini y\u00fczde 12.4 olarak hesaplarken, hemen arkas\u0131ndan ayn\u0131 oranla (y\u00fczde 12.4) Fransa geliyor. Fransa’y\u0131 Almanya y\u00fczde 11.2 ile d\u00f6rd\u00fcnc\u00fc s\u0131rada takip etti. Algoritman\u0131n olu\u015fturdu\u011fu genel ba\u015far\u0131 s\u0131ralamas\u0131nda bu \u00fclkelerin ard\u0131ndan s\u0131ras\u0131yla Portekiz, son \u015fampiyon Arjantin, Hollanda, Brezilya, Bel\u00e7ika ve Norve\u00e7 geliyor.<\/p>\n\n\n\n

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YAPAY ZEKA HESAPLADI: A M\u0130LL\u0130 TAKIM’IN KUPA \u0130HT\u0130MAL\u0130 NE KADAR?<\/strong><\/h3>\n\n\n\n

48 tak\u0131ml\u0131 yeni turnuva format\u0131nda boy g\u00f6sterecek olan “Bizim \u00c7ocuklar”, yapay zek\u00e2 modelinde ne yaz\u0131k ki elit favoriler basama\u011f\u0131nda yer alm\u0131yor. Algoritman\u0131n kadro de\u011feri istatistikleri ve tarihsel istikrar puanlamalar\u0131na g\u00f6re T\u00fcrkiye\u2019nin kupay\u0131 kazanma ihtimali y\u00fczde 1.1<\/strong> olarak hesapland\u0131. <\/p>\n\n\n\n

Yapay zek\u00e2 algoritmas\u0131n\u0131n T\u00fcrkiye analizi incelendi\u011finde, millilerimizin en g\u00fc\u00e7l\u00fc kas\u0131n\u0131n bireysel oyuncu reytingleri ve Avrupa liglerinde oynayan gen\u00e7 y\u0131ld\u0131zlar\u0131n pazar de\u011ferleri oldu\u011fu g\u00f6r\u00fcl\u00fcyor. Ancak k\u00e2\u011f\u0131t \u00fczerindeki model; savunma hatt\u0131ndaki tarihsel gol yeme projeksiyonlar\u0131 ve deplasman\/n\u00f6tr saha istikrars\u0131zl\u0131klar\u0131 nedeniyle T\u00fcrkiye\u2019nin \u00e7eyrek final ve sonras\u0131na giden yolunu “y\u00fcksek riskli patika”<\/strong> olarak adland\u0131r\u0131yor. Bilim insanlar\u0131na g\u00f6re millilerimizin \u00f6ncelikli hedefi olan gruptan \u00e7\u0131kma olas\u0131l\u0131\u011f\u0131 %58 <\/strong>ile kuvvetli bir ihtimal olarak \u00f6ne \u00e7\u0131karken, son 16 turundan itibaren kar\u015f\u0131la\u015f\u0131lacak muhtemel rakipler (\u0130spanya, Fransa veya \u0130ngiltere gibi devler) yolumuzu daralt\u0131yor.<\/p>\n\n\n\n

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100 B\u0130N S\u0130M\u00dcLASYONUN SONUCU: KUPADA S\u00dcRPR\u0130Z KAPIDA<\/strong><\/h3>\n\n\n\n

Yapay zekan\u0131n sundu\u011fu bu net favori tablosuna kar\u015f\u0131l\u0131k, istatistik uzmanlar\u0131 futboldaki s\u00fcrpriz fakt\u00f6r\u00fcn\u00fcn ve topun yuvarlak olu\u015funun yaratt\u0131\u011f\u0131 matematiksel ger\u00e7e\u011fi de hat\u0131rlat\u0131yor. Dortmund Teknik \u00dcniversitesi<\/strong>\u2019nden \u00e7al\u0131\u015fman\u0131n ortak yazar\u0131 Profes\u00f6r Andreas Groll, turnuva formatlar\u0131ndaki olas\u0131l\u0131k hesaplar\u0131n\u0131n do\u011fas\u0131 gere\u011fi s\u0131k\u0131 bir dengede ilerledi\u011fini vurgulad\u0131.<\/p>\n\n\n\n

Groll, “Matematiksel olarak en b\u00fcy\u00fck favorinin turnuvay\u0131 kazanma olas\u0131l\u0131\u011f\u0131 bile y\u00fczde 20’yi ge\u00e7mez. Bu durum, saf bir istatistik mant\u0131\u011f\u0131yla bak\u0131ld\u0131\u011f\u0131nda, geri kalan di\u011fer tak\u0131mlardan birinin kupay\u0131 kald\u0131rma ihtimalinin y\u00fczde 80 oldu\u011funu g\u00f6sterir” <\/em>diyerek futbolun \u00f6ng\u00f6r\u00fclemez yap\u0131s\u0131na dikkat \u00e7ekti. \u0130statistik\u00e7iler i\u00e7in as\u0131l ba\u015far\u0131n\u0131n tam isabet \u015fampiyonu bilmekten ziyade, turnuvada yar\u0131 final ve final gibi ileri a\u015famalara ge\u00e7ece\u011fini \u00f6ng\u00f6rd\u00fckleri tak\u0131mlar\u0131n genel ortalamadaki ba\u015far\u0131 grafi\u011fini do\u011fru tahmin etmek oldu\u011fu belirtiliyor. K\u00fcresel futbol kamuoyunun b\u00fcy\u00fck bir heyecanla bekledi\u011fi 11 Haziran’daki a\u00e7\u0131l\u0131\u015f d\u00fcd\u00fc\u011f\u00fcn\u00fcn ard\u0131ndan, yapay zekan\u0131n ye\u015fil sahalardaki bu matematiksel \u00f6ng\u00f6r\u00fclerinin ne \u00f6l\u00e7\u00fcde ger\u00e7e\u011fe d\u00f6n\u00fc\u015fece\u011fi t\u00fcm d\u00fcnya taraf\u0131ndan canl\u0131 olarak izlenecek.<\/p>\n\n\n\n

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05.06.2026 13:21<\/p>\n\n\n\n

Kaynak:https:\/\/www.cumhuriyet.com.tr\/dunya-kupasi\/futbol-sahasinda-bilimsel-kehanet-yapay-zeka-dunya-kupasi-favorisini-belirledi-turkiye-nin-siralamadaki-konumu-sasirtti-2509586<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Avusturya’daki Innsbruck \u00dcniversitesi ile Almanya’daki Dortmund Teknik \u00dcniversitesi’nden ara\u015ft\u0131rmac\u0131lar, geli\u015fmi\u015f yapay zeka ve makine \u00f6\u011frenimi y\u00f6ntemleriyle 2026 D\u00fcnya Kupas\u0131’na y\u00f6nelik kapsaml\u0131 bir analiz ger\u00e7ekle\u015ftirdi. Bahis piyasalar\u0131ndaki oranlar, tak\u0131m performanslar\u0131, oyuncu istatistikleri ve ge\u00e7mi\u015f turnuva verileri dahil milyonlarca veri noktas\u0131n\u0131 inceleyen model, turnuvay\u0131 sanal ortamda 100 bin kez sim\u00fcle etti. Elde edilen sonu\u00e7lar, \u015fampiyonluk i\u00e7in en…<\/p>\n","protected":false},"author":4,"featured_media":10533,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[2],"tags":[1380],"class_list":["post-10531","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-yasam","tag-dunya-kupasi"],"jetpack_featured_media_url":"https:\/\/dbsnewsmedia.com\/wp-content\/uploads\/2026\/06\/8d5b8cc5-1241-4f7d-a163-6e3b29aadc59.webp","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/posts\/10531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10531"}],"version-history":[{"count":1,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/posts\/10531\/revisions"}],"predecessor-version":[{"id":10534,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/posts\/10531\/revisions\/10534"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=\/wp\/v2\/media\/10533"}],"wp:attachment":[{"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10531"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dbsnewsmedia.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}