{"id":16795,"date":"2026-03-05T06:12:48","date_gmt":"2026-03-05T09:12:48","guid":{"rendered":"https:\/\/lamarisqueria.com.ar\/?p=16795"},"modified":"2026-03-06T15:54:35","modified_gmt":"2026-03-06T18:54:35","slug":"idman-analitikasinda-veri-ve-ai-inqilabi","status":"publish","type":"post","link":"https:\/\/lamarisqueria.com.ar\/?p=16795","title":{"rendered":"Idman analitikas\u0131nda veri ve AI inqilab\u0131"},"content":{"rendered":"Idman analitikas\u0131nda veri ve AI inqilab\u0131<\/title><\/p>\n<h1>Az\u0259rbaycanda idman analitikas\u0131 – metrikalar, modell\u0259r ve texnoloji imkanlar<\/h1>\n<p>Idman dunyas\u0131, q\u0259rar q\u0259bul etme mexanizml\u0259rini k\u00f6k\u00fcnd\u0259n deyi\u015fen veri analitikas\u0131 ve s\u00fcni intellekt texnologiyalar\u0131n\u0131n q\u0131sa muddetdeki ink\u0131\u015faf\u0131 ile qar\u015f\u0131la\u015f\u0131r. Az\u0259rbaycanda da bu tendensiya \u00f6z \u0259ksini tap\u0131r, idman federasiyalar\u0131ndan klublara qeder m\u00fcxt\u0259lif strukturlar performans\u0131 art\u0131rmaq ve strategiyalar\u0131 optimalla\u015fd\u0131rmaq \u00fc\u00e7\u00fcn m\u00fcr\u0259kk\u0259b modell\u0259rd\u0259n istifad\u0259 etmeye ba\u015flay\u0131b. Bu m\u0259qal\u0259, idman analitikas\u0131n\u0131n nec\u0259 deyi\u015fdiyini, istifade olunan \u0259sas metrikalar\u0131, modell\u0259rin i\u015f prinsipl\u0259rini ve texnologiyan\u0131n \u00f6z\u00fc ile ba\u011fl\u0131 mehdudiyy\u0259tl\u0259ri, yerli kontekste uy\u011fun \u015f\u0259kild\u0259 ara\u015fd\u0131racaq. Bu prosesde, <a href=\"https:\/\/lockboxsystem.com\/\">1win azerbaycan<\/a> kimi platformalar da istifade\u00e7i tecr\u00fcbesini \u015f\u0259xsil\u0259\u015fdirmek \u00fc\u00e7\u00fcn ox\u015far analitika al\u0259tl\u0259rind\u0259n geni\u015f istifade edir, lakin burada diqqet pe\u015f\u0259kar idman idareetmesine y\u00f6n\u0259lmi\u015fdir.<\/p>\n<h2>Idman analitikas\u0131n\u0131n tarixi ve Az\u0259rbaycanda ink\u0131\u015faf m\u0259rh\u0259l\u0259l\u0259ri<\/h2>\n<p>Idman analitikas\u0131 anlay\u0131\u015f\u0131 yeni deyil. \u018fn\u0259n\u0259vi statistikalar – vurulan qollar, tutulan top, faullar – onillikl\u0259r boyu idman yaz\u0131\u00e7\u0131lar\u0131 ve p\u0259r\u0259sti\u015fkarlar\u0131 t\u0259r\u0259find\u0259n istifade olunub. Lakin, \u00abMoneyball\u00bb fenomeni ile daha geni\u015f yay\u0131lan ve son onillikde sensor texnologiyalar\u0131, y\u00fcks\u0259k tezlikli kameralar ve hesablama g\u00fcc\u00fcn\u00fcn artmas\u0131 ile partlay\u0131\u015f ya\u015fayan, bu g\u00fcn ba\u015fa d\u00fc\u015fd\u00fcy\u00fcm\u00fcz kimi m\u00fcr\u0259kk\u0259b analitika inqilab\u0131d\u0131r. Az\u0259rbaycanda bu proses bir ne\u00e7\u0259 m\u0259rh\u0259l\u0259d\u0259n ke\u00e7ib. \u0130lkin olaraq, \u0259sas\u0259n futbol klublar\u0131 xarici analitika provayderlerinin xidmetlerinden istifade etmeye ba\u015flad\u0131. Sonralar, yerli idman\u00e7\u0131lar\u0131n haz\u0131rl\u0131\u011f\u0131n\u0131 monitorinq etmek \u00fc\u00e7\u00fcn daha sad\u0259 wearables (geyilebilen cihazlar) texnologiyalar\u0131 t\u0259tbiq olundu. Bu g\u00fcn is\u0259, Az\u0259rbaycan Futbol Federasiyalar\u0131 Assosiasiyas\u0131 (AFFA) kimi qurumlar \u00f6z veri bazalar\u0131n\u0131 qurur ve milli komandalar\u0131n haz\u0131rl\u0131\u011f\u0131nda daha d\u0259rin analitikadan istifade etmeye \u00e7al\u0131\u015f\u0131r.<\/p>\n<h3>Yerli idman sah\u0259sind\u0259 analitikan\u0131n aktual veziyy\u0259ti<\/h3>\n<p>Az\u0259rbaycan idman\u0131n\u0131n analitika q\u0259bulu heterojendir. Futbol ve g\u00fcl\u0259\u015f kimi \u0259n populyar idman n\u00f6vl\u0259rind\u0259 texnologiyan\u0131n t\u0259tbiqi daha s\u00fcr\u0259tli ir\u0259lileyir. Premyer Liqa klublar\u0131 art\u0131q oyun\u00e7ular\u0131n fiziki veziyy\u0259tini (m\u0259s\u0259l\u0259n, maksimal oksigen udma – VO2 max, y\u00fckda\u015f\u0131ma h\u0259cmi) ve taktiki intizam\u0131n\u0131 \u00f6l\u00e7mek \u00fc\u00e7\u00fcn GPS monitorlar\u0131 ve video analiz proqramlar\u0131ndan istifade edir. Lakin, ki\u00e7ik b\u00fcdc\u0259li idman n\u00f6vl\u0259rinde ve a\u015fa\u011f\u0131 liqalarda \u0259n\u0259n\u0259vi m\u00fc\u015fahide ve \u015f\u0259xsi t\u0259cr\u00fcb\u0259 h\u0259l\u0259 d\u0259 \u00fcst\u00fcnl\u00fck t\u0259\u015fkil edir. Bu, texnologiyan\u0131n d\u0259y\u0259ri, ixtisasl\u0131 kadrlar\u0131n olmamas\u0131 ve k\u00f6hn\u0259lmi\u015f idareetme metodlar\u0131 kimi amill\u0259rl\u0259 \u0259laq\u0259dard\u0131r.<\/p>\n<h2>M\u00fcasir metrikalar – sad\u0259 statistikadan m\u00fcr\u0259kk\u0259b g\u00f6st\u0259ricil\u0259r\u0259 ke\u00e7id<\/h2>\n<p>M\u00fcasir idman analitikas\u0131, oyun\u00e7unun komandaya \u00fcmumi t\u00f6hf\u0259sini qiymetl\u0259ndiren, geleneksel statistikalar\u0131 k\u00f6lg\u0259d\u0259 qoyan \u00e7oxsayl\u0131 \u00abqabaqc\u0131l metrikalar\u00bb (advanced metrics) yarad\u0131b. Bu metrikalar, x\u00fcsusil\u0259 komanda idareetmesi ve oyun\u00e7u transferleri kontekstind\u0259, Az\u0259rbaycan menecerl\u0259ri \u00fc\u00e7\u00fcn getdikc\u0259 daha vacib olur.<\/p>\n<ul>\n<li>G\u00f6zl\u0259nil\u0259n Qollar (xG – Expected Goals): Bir z\u0259rb\u0259nin qola \u00e7evrilme ehtimal\u0131n\u0131, z\u0259rb\u0259nin yerind\u0259n, bucaq\u0131ndan, qol qur\u011fusundan ve dig\u0259r amill\u0259rd\u0259n as\u0131l\u0131 olaraq hesablayan model. Az\u0259rbaycan liqalar\u0131nda oyun\u00e7ular\u0131n h\u00fccum effektivliyini daha d\u0259qiq qiymetl\u0259ndirmek \u00fc\u00e7\u00fcn t\u0259tbiq olunur.<\/li>\n<li>Pressinq intensivliyi ve PPDA (H\u00fccumda H\u0259r M\u00fcdafi\u0259 T\u0259dbirin\u0259 D\u00fc\u015f\u0259n Paslar): Komandan\u0131n sah\u0259d\u0259 n\u0259 qeder aktiv ve t\u0259\u015fkilatl\u0131 \u015f\u0259kild\u0259 topu geri qaytard\u0131\u011f\u0131n\u0131 \u00f6l\u00e7\u00fcr. Bu, yerli komandalar\u0131n defolt olaraq daha \u00e7ox m\u00fcdafi\u0259vi oynad\u0131\u011f\u0131 regionda, oyun t\u0259rzini obyektiv qiymetl\u0259ndirmek \u00fc\u00e7\u00fcn faydal\u0131d\u0131r.<\/li>\n<li>Y\u00fckda\u015f\u0131ma (Workload) ve Yor\u011funluq Monitorinqi: GPS ve akselerometr m\u0259lumatlar\u0131 ile oyun\u00e7unun ke\u00e7diyi m\u0259saf\u0259, sprint say\u0131, y\u00fckda\u015f\u0131nan y\u00fck\u00fcn h\u0259cmi (Player Load) ve k\u0259skin d\u00f6n\u00fc\u015fl\u0259r \u00f6l\u00e7\u00fcl\u00fcr. Bu, milli komandalar\u0131n haz\u0131rl\u0131q d\u00fc\u015ferlerinde ve klublarda z\u0259d\u0259l\u0259rin qar\u015f\u0131s\u0131n\u0131 almaq \u00fc\u00e7\u00fcn h\u0259lledici rol oynay\u0131r.<\/li>\n<li>Kanal \u00d6t\u00fcrm\u0259l\u0259ri (Passing Channels) ve Sah\u0259 N\u0259zar\u0259ti: Oyun zaman\u0131 komandan\u0131n v\u0259 f\u0259rdi oyun\u00e7ular\u0131n sah\u0259nin hans\u0131 hiss\u0259l\u0259rini n\u0259zar\u0259t etdiyini ve t\u0259hl\u00fck\u0259li \u00f6t\u00fcrm\u0259l\u0259ri haradan etdiyini vizualla\u015fd\u0131r\u0131r. Bu, r\u0259qibin z\u0259if t\u0259r\u0259fl\u0259rini m\u00fc\u0259yy\u0259n etmek \u00fc\u00e7\u00fcn taktiki haz\u0131rl\u0131qda istifade olunur.<\/li>\n<li>Oyun\u00e7u D\u0259y\u0259ri (Player Valuation) Modell\u0259ri: Oyun\u00e7unun g\u0259l\u0259c\u0259k performans\u0131n\u0131, ya\u015f\u0131n\u0131, ke\u00e7mi\u015f statistikas\u0131n\u0131, liqa kontekstini ve dig\u0259r y\u00fczlerle d\u0259yi\u015f\u0259ni n\u0259zere alaraq onun bazar d\u0259y\u0259rini proqnozla\u015fd\u0131ran modell\u0259r. Yerli transfer bazar\u0131nda daha rasional q\u0259rarlar\u0131n q\u0259buluna k\u00f6m\u0259k ed\u0259 bil\u0259r.<\/li>\n<\/ul>\n<h2>S\u00fcni intellekt ve ma\u015f\u0131n \u00f6yr\u0259nm\u0259sinin idmana t\u0259siri<\/h2>\n<p>S\u00fcni intellekt (AI) ve ma\u015f\u0131n \u00f6yr\u0259nm\u0259si (ML), idman analitikas\u0131n\u0131 statik m\u0259lumat t\u0259hlilind\u0259n dinamik proqnozla\u015fd\u0131rma ve avtomatla\u015fd\u0131r\u0131lm\u0131\u015f q\u0259rar d\u0259st\u0259yi sisteml\u0259rin\u0259 \u00e7evirir. Bu texnologiyalar Az\u0259rbaycanda da t\u0259dric\u0259n \u00f6z t\u0259tbiqini tap\u0131r, \u0259sas\u0259n iki sah\u0259d\u0259: performans analizi ve z\u0259d\u0259l\u0259rin qar\u015f\u0131s\u0131n\u0131n al\u0131nmas\u0131.<\/p>\n<p>Ma\u015f\u0131n \u00f6yr\u0259nm\u0259 modell\u0259ri, m\u0259s\u0259l\u0259n, oyun\u00e7unun video g\u00f6r\u00fcnt\u00fcl\u0259rini emal ed\u0259r\u0259k onun h\u0259r\u0259k\u0259t n\u00fcmun\u0259l\u0259rini (movement patterns) m\u00fc\u0259yy\u0259n ed\u0259, standartdan k\u0259nara \u00e7\u0131xan v\u0259ziyy\u0259tl\u0259ri (m\u0259s\u0259l\u0259n, yor\u011funluq \u0259lam\u0259tl\u0259ri v\u0259 ya texniki s\u0259hv) avtomatik a\u015fkar ed\u0259 bil\u0259r. Bu, m\u0259\u015fq\u00e7il\u0259r\u0259 h\u0259r bir idman\u00e7\u0131 \u00fczr\u0259 f\u0259rdil\u0259\u015fdirilmi\u015f geri bildirim verme imkan\u0131 yarad\u0131r. Eyni zamanda, sensor m\u0259lumatlar\u0131n\u0131 (\u00fcr\u0259k d\u0259r\u0259c\u0259si, s\u00fcr\u0259t, y\u00fck) i\u015fleyen modell\u0259r, oyun\u00e7unun z\u0259d\u0259 riskini proqnozla\u015fd\u0131ra v\u0259 onun m\u0259\u015fq y\u00fck\u00fcn\u00fc optimal \u015f\u0259kild\u0259 t\u0259nzimlemek \u00fc\u00e7\u00fcn t\u00f6vsiy\u0259l\u0259r ver\u0259 bil\u0259r.<\/p>\n<h3>AI modell\u0259rinin i\u015f prinsipl\u0259ri ve n\u00fcmun\u0259l\u0259ri<\/h3>\n<p>AI modell\u0259ri ad\u0259t\u0259n tarixi veril\u0259rl\u0259rl\u0259 \u00ab\u00f6yr\u0259dilir\u00bb. M\u0259s\u0259l\u0259n, z\u0259d\u0259 proqnozu modeli \u00fc\u00e7\u00fcn, ke\u00e7mi\u015fde z\u0259d\u0259l\u0259nmi\u015f ve z\u0259d\u0259l\u0259nm\u0259mi\u015f y\u00fczlerle oyun\u00e7unun m\u0259\u015fq ve oyun m\u0259lumatlar\u0131 daxil edilir. Model bu m\u0259lumatlardan n\u00fcmun\u0259l\u0259r axtar\u0131r ve m\u00fc\u0259yy\u0259n parametrl\u0259rin (m\u0259s\u0259l\u0259n, ani y\u00fckda\u015f\u0131man\u0131n k\u0259skin art\u0131m\u0131, b\u0259rpa vaxt\u0131n\u0131n azalmas\u0131) kombinasiyas\u0131n\u0131n y\u00fcks\u0259k z\u0259d\u0259 riski il\u0259 \u0259laq\u0259sini \u00f6yr\u0259nir. Oyun n\u0259tic\u0259l\u0259rinin proqnozla\u015fd\u0131r\u0131lmas\u0131nda is\u0259, reqressiya modell\u0259ri ve sinif n\u00fcmun\u0259l\u0259ri (classification models) istifade olunur. Model, komandalar\u0131n tarixi performans\u0131n\u0131, oyun\u00e7ular\u0131n formas\u0131n\u0131, ev-s\u0259f\u0259r statistikas\u0131n\u0131, h\u0259tta hava \u015f\u0259raitini n\u0259zere alaraq, m\u00fc\u0259yy\u0259n bir oyunun n\u0259tic\u0259sini v\u0259 ya hesab\u0131n\u0131 proqnozla\u015fd\u0131ra bil\u0259r. For a quick, neutral reference, see <a href=\"https:\/\/www.fifa.com\/tournaments\/mens\/worldcup\">FIFA World Cup hub<\/a>.<\/p>\n<table>\n<thead>\n<tr>\n<th>Model N\u00f6v\u00fc<\/th>\n<th>\u018fsas Funksiyas\u0131<\/th>\n<th>Idman Sah\u0259sind\u0259 Potensial T\u0259tbiqi (Az\u0259rbaycan kontekstind\u0259)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Reqressiya Analizi<\/td>\n<td>Davaml\u0131 d\u0259y\u0259rl\u0259ri (m\u0259s., xG, qol f\u0259rqi) proqnozla\u015fd\u0131rmaq<\/td>\n<td>G\u0259nc oyun\u00e7ular\u0131n g\u0259l\u0259c\u0259k inki\u015faf potensial\u0131n\u0131n qiymetl\u0259ndirilm\u0259si<\/td>\n<\/tr>\n<tr>\n<td>Q\u0259rar A\u011faclar\u0131 ve Me\u015f\u0259l\u0259ri<\/td>\n<td>M\u00fcr\u0259kk\u0259b q\u0259rarlar\u0131 sad\u0259 qaydalar \u0259sas\u0131nda modelle\u015fdirmek<\/td>\n<td>Oyun zaman\u0131 taktiki d\u0259yi\u015fiklikl\u0259rin (m\u0259s., \u0259v\u0259zetm\u0259l\u0259rin) effektivliyinin t\u0259hlili<\/td>\n<\/tr>\n<tr>\n<td>Neyron \u015e\u0259b\u0259k\u0259l\u0259ri<\/td>\n<td>Qeyri-x\u0259tti m\u00fcnasib\u0259tl\u0259ri v\u0259 n\u00fcmun\u0259l\u0259ri (m\u0259s., video) a\u015fkar etmek<\/td>\n<td>R\u0259qib komandan\u0131n oyun n\u00fcmun\u0259l\u0259rinin avtomatik t\u0259hlili v\u0259 z\u0259if t\u0259r\u0259fl\u0259rinin a\u015fkarlanmas\u0131<\/td>\n<\/tr>\n<tr>\n<td>Klasterl\u0259\u015fdirm\u0259<\/td>\n<td>Ox\u015far x\u00fcsusiyy\u0259tli oyun\u00e7ular\u0131 v\u0259 ya komandalar\u0131 qrupla\u015fd\u0131rmaq<\/td>\n<td>Scouting zaman\u0131 m\u00fc\u0259yy\u0259n rola uy\u011fun oyun\u00e7u profill\u0259rinin m\u00fc\u0259yy\u0259n edilm\u0259si<\/td>\n<\/tr>\n<tr>\n<td>Zaman S\u0131ralar\u0131 T\u0259hlili<\/td>\n<td>Vaxtla d\u0259yi\u015f\u0259n m\u0259lumatlar\u0131 (m\u0259s., forma) proqnozla\u015fd\u0131rmaq<\/td>\n<td>Oyun\u00e7u performans\u0131n\u0131n m\u00f6vs\u00fcm \u0259rzind\u0259ki d\u0259yi\u015fiklikl\u0259rinin modell\u0259\u015fdirilm\u0259si v\u0259 yor\u011funluq idareetmesi<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Texnologiyan\u0131n qar\u015f\u0131la\u015fd\u0131\u011f\u0131 mehdudiyy\u0259tl\u0259r v\u0259 etik m\u0259s\u0259l\u0259l\u0259r<\/h2>\n<p>Idman analitikas\u0131n\u0131n v\u0259 AI-n\u0131n b\u00f6y\u00fck v\u0259dlerin\u0259 baxmayaraq, onun t\u0259tbiqi bir s\u0131ra m\u0259hdudiyy\u0259tl\u0259r v\u0259 \u00e7a\u015fd\u0131r\u0131c\u0131 suallarla \u00fczl\u0259\u015fir. Bu, x\u00fcsusil\u0259 Az\u0259rbaycan kimi inki\u015faf etmekde olan idman bazar\u0131nda daha ayd\u0131n g\u00f6r\u00fcn\u00fcr.<\/p>\n<ul>\n<li>Veri Keyfiyy\u0259ti ve Miqdar\u0131: Effektiv AI modell\u0259ri \u00fc\u00e7\u00fcn b\u00f6y\u00fck h\u0259cmd\u0259, t\u0259miz ve etibarl\u0131 veril\u0259r laz\u0131md\u0131r. Ki\u00e7ik liqalarda ve a\u015fa\u011f\u0131 b\u00fcdc\u0259li idman n\u00f6vl\u0259rind\u0259 bel\u0259 veril\u0259rin toplanmas\u0131 texniki ve maliyy\u0259 \u00e7\u0259tinlikleri yarad\u0131r. Yanl\u0131\u015f v\u0259 ya natamam veril\u0259r, yanl\u0131\u015f n\u0259tic\u0259l\u0259r\u0259 ve q\u0259rarlara s\u0259b\u0259b ola bil\u0259r.<\/li>\n<li>\u00abQara qutu\u00bb Problemi: Bir \u00e7ox m\u00fcr\u0259kk\u0259b AI modeli (x\u00fcsusil\u0259 d\u0259rin \u00f6yr\u0259nm\u0259) \u00f6z q\u0259rarlar\u0131n\u0131n \u0259sasland\u0131rmas\u0131n\u0131 izah etm\u0259kd\u0259 \u00e7\u0259tinlik \u00e7\u0259kir. M\u0259\u015fq\u00e7i niy\u0259 m\u00fc\u0259yy\u0259n bir oyun\u00e7unun y\u00fcks\u0259k z\u0259d\u0259 riski oldu\u011funu bil\u0259 bil\u0259r, amma modelin d\u0259qiq n\u0259yi \u0259sas g\u00f6t\u00fcrd\u00fcy\u00fcn\u00fc ba\u015fa d\u00fc\u015fm\u0259y\u0259 bil\u0259r. Bu, m\u00fct\u0259x\u0259ssisl\u0259rin model\u0259 etimad\u0131n\u0131 azalda bil\u0259r.<\/li>\n<li>\u0130nsan Amili ve Kontekst: Analitika he\u00e7 vaxt m\u0259\u015fq\u00e7inin t\u0259cr\u00fcb\u0259sini, psixoloji amill\u0259ri, komanda kimyas\u0131n\u0131 ve oyunun daxili hissl\u0259rini (game feel) tam \u0259v\u0259z ed\u0259 bilm\u0259z. Soyuq r\u0259q\u0259ml\u0259r insan m\u00fchakim\u0259si il\u0259 birl\u0259\u015fdirilm\u0259lidir. Az\u0259rbaycan idman m\u0259d\u0259niyy\u0259tind\u0259 \u015f\u0259xsi m\u00fcnasib\u0259tl\u0259r v\u0259 t\u0259cr\u00fcb\u0259 h\u0259l\u0259 d\u0259 \u00e7ox g\u00fccl\u00fcd\u00fcr.<\/li>\n<li>Maliyy\u0259 B\u0259rab\u0259rsizliyi: Varl\u0131 klublar \u0259n son texnologiyalara investisiya ed\u0259 bil\u0259r, bu da ki\u00e7ik klublarla aras\u0131ndak\u0131 u\u00e7urumu daha da d\u0259rinl\u0259\u015fdir\u0259 bil\u0259r. Bu, liqan\u0131n \u00fcmumi r\u0259qab\u0259t qabiliyy\u0259tin\u0259 m\u0259nfi t\u0259sir g\u00f6st\u0259r\u0259 bil\u0259r.<\/li>\n<li>Oyun\u00e7u M\u0259xfilik H\u00fcququ: GPS monitorlar\u0131 ve biometrik m\u0259lumatlar\u0131n toplanmas\u0131 oyun\u00e7ular\u0131n m\u0259xfilik h\u00fcququ il\u0259 ba\u011fl\u0131 ciddi suallar yarad\u0131r. Bu m\u0259lumatlar kim\u0259 m\u0259xsusdur? Nec\u0259 saxlan\u0131l\u0131r v\u0259 istifade olunur? Az\u0259rbaycanda bu sah\u0259d\u0259 ayd\u0131n qanuni \u00e7\u0259r\u00e7iv\u0259 h\u0259l\u0259 formala\u015fmam\u0131\u015fd\u0131r.<\/li>\n<li>H\u0259ddind\u0259n art\u0131q Optimalla\u015fd\u0131rma ve Idman Ruhunun Itirilm\u0259si: H\u0259r \u015feyi r\u0259q\u0259ml\u0259r\u0259 endirmek idman\u0131n t\u0259bi\u0259tind\u0259 olan t\u0259sad\u00fcfilik v\u0259 emosional c\u0259h\u0259tl\u0259ri itir\u0259 bil\u0259r. Riskli, lakin g\u00f6z\u0259l h\u00fccum manevrl\u0259ri, statistik c\u0259h\u0259td\u0259n s\u0259m\u0259r\u0259siz ola bil\u0259r, lakin tama\u015fa\u00e7\u0131lar\u0131 heyran ed<\/li>\n<\/ul>\n<p>Bu \u00e7\u0259tinlikl\u0259r\u0259 baxmayaraq, idman analitikas\u0131n\u0131n g\u0259l\u0259c\u0259yi insan ekspertizas\u0131 il\u0259 texnologiyan\u0131n harmonik sintezind\u0259dir. \u018fn u\u011furlu komandalar v\u0259 m\u00fct\u0259x\u0259ssisl\u0259r, r\u0259q\u0259msal vasit\u0259l\u0259ri \u00f6z q\u0259rarverm\u0259 prosesinin d\u0259st\u0259k\u00e7isi kimi g\u00f6r\u00fcr, onlar\u0131n m\u0259hdudiyy\u0259tl\u0259rini ba\u015fa d\u00fc\u015f\u00fcr v\u0259 n\u0259tic\u0259l\u0259ri t\u0259cr\u00fcb\u0259 v\u0259 kontekstl\u0259 yoxlay\u0131r.<\/p>\n<p>Az\u0259rbaycan idman\u0131 bu yeni d\u00f6vr\u0259 uy\u011funla\u015fd\u0131qca, t\u0259hsil v\u0259 infrastrukturun inki\u015faf\u0131 \u0259sas amil olacaq. G\u0259nc m\u00fct\u0259x\u0259ssisl\u0259rin haz\u0131rlanmas\u0131, \u015f\u0259ffaf m\u0259lumat siyas\u0259tl\u0259rinin qurulmas\u0131 v\u0259 b\u00fct\u00fcn s\u0259viyy\u0259l\u0259rd\u0259 texnologiyaya b\u0259rab\u0259r \u00e7\u0131x\u0131\u015f\u0131n t\u0259min edilm\u0259si, idman analitikas\u0131n\u0131n potensial\u0131n\u0131n tam a\u00e7\u0131lmas\u0131na k\u00f6m\u0259k ed\u0259c\u0259k. For general context and terms, see <a href=\"https:\/\/www.olympics.com\/en\/\">Olympics official hub<\/a>.<\/p>\n<p>N\u0259tic\u0259d\u0259, idman analitikas\u0131 oyunu d\u0259yi\u015f\u0259n g\u00fccl\u00fc bir vasit\u0259dir, lakin onun \u0259sas m\u0259qs\u0259di insan performans\u0131n\u0131 v\u0259 idman t\u0259cr\u00fcb\u0259sini anlamaq v\u0259 yax\u015f\u0131la\u015fd\u0131rmaq \u00fc\u00e7\u00fcn xidm\u0259t etm\u0259k olmal\u0131d\u0131r. Bu tarazl\u0131\u011f\u0131 saxlamaq, r\u0259q\u0259ml\u0259rin idman\u0131n ruhunu deyil, onun s\u0259rh\u0259dl\u0259rini geni\u015fl\u0259ndirm\u0259sin\u0259 z\u0259man\u0259t ver\u0259c\u0259k.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Idman analitikas\u0131nda veri ve AI inqilab\u0131 Az\u0259rbaycanda idman analitikas\u0131 – metrikalar, modell\u0259r ve texnoloji imkanlar Idman dunyas\u0131, q\u0259rar q\u0259bul etme mexanizml\u0259rini k\u00f6k\u00fcnd\u0259n deyi\u015fen veri analitikas\u0131 ve s\u00fcni intellekt texnologiyalar\u0131n\u0131n q\u0131sa muddetdeki ink\u0131\u015faf\u0131 ile qar\u015f\u0131la\u015f\u0131r. Az\u0259rbaycanda da bu tendensiya \u00f6z \u0259ksini tap\u0131r, idman federasiyalar\u0131ndan klublara qeder m\u00fcxt\u0259lif strukturlar performans\u0131 art\u0131rmaq ve strategiyalar\u0131 optimalla\u015fd\u0131rmaq \u00fc\u00e7\u00fcn m\u00fcr\u0259kk\u0259b modell\u0259rd\u0259n […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-16795","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=\/wp\/v2\/posts\/16795","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16795"}],"version-history":[{"count":1,"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=\/wp\/v2\/posts\/16795\/revisions"}],"predecessor-version":[{"id":16796,"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=\/wp\/v2\/posts\/16795\/revisions\/16796"}],"wp:attachment":[{"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lamarisqueria.com.ar\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}