[{"_1":2,"_836":-5,"_837":-5},"loaderData",{"_3":4,"_636":637},"layout/main",{"_5":6,"_275":276,"_481":482,"_306":486,"_488":489,"_497":498,"_571":572,"_620":621,"_624":625,"_628":629,"_320":632},"locale",{"_7":8,"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_23":24,"_27":28,"_31":32,"_35":36,"_39":39,"_40":40,"_41":42,"_43":43,"_44":44,"_45":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":56,"_57":57,"_58":58,"_59":60,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":72,"_73":74,"_75":76,"_77":78,"_79":80,"_81":82,"_83":84,"_85":86,"_87":88,"_89":90,"_91":92,"_93":94,"_95":96,"_97":98,"_99":100,"_101":102,"_103":104,"_105":106,"_107":108,"_109":110,"_111":111,"_112":112,"_113":113,"_114":114,"_115":115,"_116":116,"_117":117,"_118":119,"_120":121,"_122":122,"_123":123,"_124":125,"_126":127,"_128":128,"_129":129,"_130":130,"_131":131,"_132":133,"_134":134,"_135":135,"_136":137,"_138":138,"_139":139,"_140":141,"_142":143,"_144":144,"_145":145,"_146":147,"_148":149,"_150":151,"_152":153,"_154":155,"_156":157,"_158":159,"_160":161,"_162":163,"_164":40,"_165":39,"_166":43,"_167":168,"_169":170,"_171":172,"_173":173,"_174":174,"_175":175,"_176":176,"_177":177,"_178":179,"_180":181,"_182":182,"_183":184,"_185":186,"_187":188,"_189":190,"_191":192,"_193":194,"_195":196,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228,"_229":230,"_231":232,"_233":234,"_235":236,"_237":238,"_239":240,"_241":242,"_243":244,"_245":246,"_247":248,"_249":250,"_251":252,"_253":254,"_255":256,"_257":258,"_259":260,"_261":262,"_263":264,"_265":266,"_267":268,"_269":270,"_271":272,"_273":274},"title","Title","hotComment","Hot comment","reply","Reply","published","Published","relatedArticles","Related articles","justNow","Just now","minute",[21,22]," minute ago"," minutes ago","hour",[25,26]," hour ago"," hours ago","day",[29,30]," day ago"," days ago","week",[33,34]," week ago"," weeks ago","month",[37,38]," month ago"," months ago","Follow","Fans","GetLikes","Get likes","Followed","Dynamics","Articles","NoContent","No dynamic content","Introduction","Personal introduction","ApplyAuthor","Apply to be a platform author","Welcome","Welcome to","Nickname","Nick name","Login","Register","Or","DontAccount","Don't have an account","RegisterNow","Sign up","ByClicking","By clicking continue, you agree to our","And","add","Service","Terms of Service","Privacy","Privacy Policy","registered","Already registered","LogIn","please log in","Code","Invite Code","LoginError","Login failed！","RegisterError","Registration failed！","WebsiteNotOpen","The website is not open yet.","EnterCode","Enter the invitation code.","Matchups","Upcoming Matchups","ExpertPick","Expert Pick","Analysis","ANALYSIS","ViewMatchup","View Matchup","Sportsbooks","Top-Rated Sportsbooks","BestSites","Best betting sites","information","All the information you need to help you to choose your next online betting site.","ClickToCopyPromoCode","Click to copy promo code","CopyCode","Copy code","NoCodeNeeded","No Code Needed","PlayNow","Play Now","PicksDislay","Picks are made by our in-house sports betting experts, using analysis to guide their predictions and provide the best picks","ReadPickAnalysis","Read Pick Analysis","Stats","Injuries","Props","Preview","Picks","Trends","Odds","HotCurrency","Hot Currency","ToHome","To Home","Currency","Global","24HInc","24H-increase","CryptoCompanyStocks","Crypto Company Stocks","NAME","PRICE","PRICES","CHANGE","MARKETCAP","MARKET CAP","VOLUME","SUPPLY","SEEMOREPRICES","SEE MORE PRICES","LMAX","Digital","INFO","User Info","Institutions","Investment Incubation Institutions","Ratings","Review","SEEOFFER","SEE OFFER","slots","No. of slots","PayoutSpeed","Payout speed","WinRate","Win rate","Casinos","Top Crypto Casinos","termsApply","terms apply","GetBonus","Get Bonus","RecentReviews","Recent Reviews","like","Likes","subscribers","Subscribe","Subscribed","OfficialGame","Go to the official game","PalyDemo","Paly Demo","PalyGame","Paly Game","Birthday","Male","Female","Other","Gender","Logout","Log out","ArticleType","Article Type","describe","TrialLink","Trial Link","image","Image","Upload","Upload an image","detail","Detail","save","Save","match","Match","area","Area","matchInfo","Match Information","homeWin","Home Win","draw","Draw","awayWin","Away Win","halfTimePrediction","Half-Time Prediction","halfTimeHomeWin","Half-Time Home Win","halfTimeDraw","Half-Time Draw","halfTimeAwayWin","Half-Time Away Win","preMatchAnalysis","Pre-Match Analysis","matchStats","Match Statistics","teamPerformanceComparison","Team Performance Comparison","homeTeam","Home Team","awayTeam","Away Team","redCard","Red Card","yellowCard","Yellow Card","cornerKick","Corner Kick","matchEvents","Match Events","liveCommentary","Live Commentary","positionDistribution","Position Distribution","playerRatingComparison","Player Rating Comparison","matchEventStats","Match Event Statistics","fullTimePrediction","Full-Time Prediction","ranking","Ranking","halfTime","Half-Time","extraTime","Extra Time","penalty","Penalty","tournamentFormat","Tournament Format","pointsMatch","Points Match","knockoutMatch","Knockout Match","qualifyingMatch","Qualifying Match","startTime","Start Time","stadium","Stadium","referee","Referee","season","Season","weatherInfo","Weather Information","temperature","Temperature","windSpeed","Wind Speed","humidity","Humidity","airPressure","Air Pressure","website",{"_277":278,"_279":280,"_281":282,"_283":284,"_285":286,"_287":288,"_7":289,"_290":291,"_292":293,"_294":295,"_296":297,"_298":299,"_300":301,"_302":303,"_304":305,"_311":312,"_313":314,"_320":321,"_325":326,"_346":347,"_479":480},"id",100,"stage","open","stage_unlock","666","index_now","5f223aa7c2191d912fbe181b32607ee3b844417b4899634f0bcde89e616397a9","language_id",1975,"language_code","en","EspnMart","domain","espnmart.com","sub_domain","www","static_url","https://static.espnmart.com","ownership","© 2025 ESPNMart website. All rights reserved. ","note","","lang_adaptor","default","brand_name","ESPNMart","icon_file",{"_306":307,"_308":309,"_310":185},"path","6qxjh2/wiu","name","mkbav3yhqsfb.png","type","logo_file",{"_306":307,"_308":309,"_310":185},"website_extend",{"_315":299,"_316":299,"_317":318,"_319":299},"head_html","head_script","footer_html","\n\n\n","footer_script","search_extend",{"_322":299,"_323":299,"_324":299},"seo_title","seo_keywords","seo_description","meta_field",[327,332,334,336,338,340,342,344],{"_328":329,"_310":330,"_331":299},"key","bg_image","text","value",{"_328":333,"_310":330,"_331":299},"social_email",{"_328":335,"_310":330,"_331":299},"social_facebook",{"_328":337,"_310":330,"_331":299},"social_x",{"_328":339,"_310":330,"_331":299},"social_youtube",{"_328":341,"_310":330,"_331":299},"social_tiktok",{"_328":343,"_310":330,"_331":299},"social_linkedin",{"_328":345,"_310":330,"_331":299},"social_instagram","languages",[348,359,368,375,382,389,396,403,410,417,424,430,437,444,451,458,465,472],{"_277":286,"_7":349,"_350":351,"_354":355,"_356":288,"_292":293,"_357":358,"_325":-5},"English - EN","file",{"_306":352,"_308":353,"_310":185},"public/lang","en.webp","is_default",true,"code","position",1,{"_277":360,"_7":361,"_350":362,"_354":364,"_356":365,"_292":366,"_357":367,"_325":-5},1978,"中文繁體 - TW",{"_306":352,"_308":363,"_310":185},"tw.webp",false,"zh-TW","zh-tw",4,{"_277":369,"_7":370,"_350":371,"_354":364,"_356":373,"_292":373,"_357":374,"_325":-5},1979,"Español - ES",{"_306":352,"_308":372,"_310":185},"es.webp","es",5,{"_277":376,"_7":377,"_350":378,"_354":364,"_356":380,"_292":380,"_357":381,"_325":-5},1980,"Français - FR",{"_306":352,"_308":379,"_310":185},"fr.webp","fr",6,{"_277":383,"_7":384,"_350":385,"_354":364,"_356":387,"_292":387,"_357":388,"_325":-5},1981,"Deutsch - DE",{"_306":352,"_308":386,"_310":185},"de.webp","de",7,{"_277":390,"_7":391,"_350":392,"_354":364,"_356":394,"_292":394,"_357":395,"_325":-5},1982,"Português - PT",{"_306":352,"_308":393,"_310":185},"pt.webp","pt",8,{"_277":397,"_7":398,"_350":399,"_354":364,"_356":401,"_292":401,"_357":402,"_325":-5},1983,"Русский - RU",{"_306":352,"_308":400,"_310":185},"ru.webp","ru",9,{"_277":404,"_7":405,"_350":406,"_354":364,"_356":408,"_292":408,"_357":409,"_325":-5},1984,"日本語 - JA",{"_306":352,"_308":407,"_310":185},"ja.webp","ja",10,{"_277":411,"_7":412,"_350":413,"_354":364,"_356":415,"_292":415,"_357":416,"_325":-5},1985,"العربية - AR",{"_306":352,"_308":414,"_310":185},"ar.webp","ar",11,{"_277":418,"_7":419,"_350":420,"_354":364,"_356":422,"_292":422,"_357":423,"_325":-5},1986,"বাংলা - BN",{"_306":352,"_308":421,"_310":185},"bn.webp","bn",12,{"_277":425,"_7":426,"_350":427,"_354":364,"_356":277,"_292":277,"_357":429,"_325":-5},1987,"Bahasa Indonesia - ID",{"_306":352,"_308":428,"_310":185},"id.webp",13,{"_277":431,"_7":432,"_350":433,"_354":364,"_356":435,"_292":435,"_357":436,"_325":-5},1988,"हिन्दी - HI",{"_306":352,"_308":434,"_310":185},"hi.webp","hi",14,{"_277":438,"_7":439,"_350":440,"_354":364,"_356":442,"_292":442,"_357":443,"_325":-5},1989,"한국어 - KR",{"_306":352,"_308":441,"_310":185},"ko.webp","ko",15,{"_277":445,"_7":446,"_350":447,"_354":364,"_356":449,"_292":449,"_357":450,"_325":-5},1990,"Tagalog - TL",{"_306":352,"_308":448,"_310":185},"tl.webp","tl",16,{"_277":452,"_7":453,"_350":454,"_354":364,"_356":456,"_292":456,"_357":457,"_325":-5},1991,"اردو - UR",{"_306":352,"_308":455,"_310":185},"ur.webp","ur",17,{"_277":459,"_7":460,"_350":461,"_354":364,"_356":463,"_292":463,"_357":464,"_325":-5},1992,"ไทย - TH",{"_306":352,"_308":462,"_310":185},"th.webp","th",18,{"_277":466,"_7":467,"_350":468,"_354":364,"_356":470,"_292":470,"_357":471,"_325":-5},1993,"Українська - UA",{"_306":352,"_308":469,"_310":185},"ua.webp","ua",19,{"_277":473,"_7":474,"_350":475,"_354":364,"_356":477,"_292":477,"_357":478,"_325":-5},1994,"Tiếng Việt - VI",{"_306":352,"_308":476,"_310":185},"vi.webp","vi",20,"url","http://www.espnmart.com","base",{"_290":291,"_483":278,"_285":286,"_484":485},"website_id","handle","/tag/bayesian-prediction",{"_487":288,"_290":291,"_484":485},"lang","layout",{"_277":490,"_7":491,"_298":299,"_492":301,"_493":301,"_494":299,"_495":496,"_325":-5},1028,"默认页面","template","page_style","schema","template_style","{\"header\":{\"style\":{\"backgroundColor\":\"rgb(31 41 55)\"},\"navigation\":{\"style\":{\"color\":\"#fff\"}}},\"content\":{\"column\":{\"style\":{\"backgroundColor\":\"rgb(31 41 55)\",\"color\":\"#fff\"}},\"tag\":{\"style\":{\"backgroundColor\":\"#fff\",\"color\":\"#000\"}}},\"footer\":{\"style\":{\"backgroundColor\":\"rgb(31 41 55)\"},\"navigation\":{\"style\":{\"color\":\"#fff\"}},\"allRights\":{\"isShow\":true}}}","navigate",{"_499":500,"_551":552},"desktop",[501,513,521,529,536,544],{"_7":502,"_484":503,"_357":504,"_505":301,"_506":507,"_298":508,"_185":509,"_325":512},"Global Football","/global-football",0,"style","target","_self","Stay updated with the latest international football news, match predictions, and in-depth analysis powered by ESPNMart's data-driven insights. Perfect for fans and analysts alike!",{"_306":510,"_308":511,"_310":299},"6qxjcr/hqz","mj9v3xoxq34a.png",[],{"_7":514,"_484":515,"_357":504,"_505":301,"_506":507,"_298":516,"_185":517,"_325":520},"Football Talk","/football-talk","Join the conversation in our Football Talk section, where fans discuss the latest matches, predictions, and insights. Share your thoughts and stay updated with expert analysis.",{"_306":518,"_308":519,"_310":299},"6qxjcr/hq3","mj9v615mo54x.png",[],{"_7":522,"_484":523,"_357":504,"_505":301,"_506":507,"_298":524,"_185":525,"_325":528},"Live Soccer","/live-soccer","Explore real-time soccer updates, match predictions, and in-depth analysis powered by advanced data models. Stay ahead with ESPNMart's accurate insights and live scores.",{"_306":526,"_308":527,"_310":299},"6qxjcr/hq4","mj9v75o3apst.png",[],{"_7":530,"_484":531,"_357":504,"_505":301,"_506":507,"_298":532,"_185":533,"_325":535},"Team Insights","/team-insights","Explore in-depth team statistics, performance analysis, and real-time updates for football and NBA teams. Stay ahead with data-driven insights and predictions tailored for sports enthusiasts and analysts.",{"_306":526,"_308":534,"_310":299},"mj9v8atrybva.png",[],{"_7":537,"_484":538,"_357":504,"_505":301,"_506":507,"_298":539,"_185":540,"_325":543},"League Insights","/league-insights","Explore the latest updates, in-depth analysis, and expert predictions for major football and NBA leagues. Stay ahead with data-driven insights from ESPNMart.",{"_306":541,"_308":542,"_310":299},"6qxjcr/hq5","mj9v8l6zl4tl.png",[],{"_7":545,"_484":546,"_357":504,"_505":301,"_506":507,"_298":547,"_185":548,"_325":550},"Match Insights","/match-insights","Get the latest match insights, predictions, and in-depth analysis for football, NBA, and other major sports. Stay ahead with data-driven updates and expert opinions.",{"_306":526,"_308":549,"_310":299},"mj9v76ok8k1q.png",[],"mobile",[553,556,559,562,565,568],{"_7":502,"_484":503,"_357":504,"_505":301,"_506":507,"_298":508,"_185":554,"_325":555},{"_306":510,"_308":511,"_310":299},[],{"_7":514,"_484":515,"_357":504,"_505":301,"_506":507,"_298":516,"_185":557,"_325":558},{"_306":518,"_308":519,"_310":299},[],{"_7":522,"_484":523,"_357":504,"_505":301,"_506":507,"_298":524,"_185":560,"_325":561},{"_306":526,"_308":527,"_310":299},[],{"_7":530,"_484":531,"_357":504,"_505":301,"_506":507,"_298":532,"_185":563,"_325":564},{"_306":526,"_308":534,"_310":299},[],{"_7":537,"_484":538,"_357":504,"_505":301,"_506":507,"_298":539,"_185":566,"_325":567},{"_306":541,"_308":542,"_310":299},[],{"_7":545,"_484":546,"_357":504,"_505":301,"_506":507,"_298":547,"_185":569,"_325":570},{"_306":526,"_308":549,"_310":299},[],"footer",{"_499":573,"_551":604},[574,580,587,594,599],{"_7":575,"_484":576,"_357":358,"_505":301,"_506":507,"_298":577,"_185":578,"_325":579},"About Us","/about","关于我们",{"_306":299,"_308":299,"_310":299},[],{"_7":581,"_484":582,"_357":583,"_505":301,"_506":507,"_298":584,"_185":585,"_325":586},"Contact Us","/contact",2,"联系我们",{"_306":299,"_308":299,"_310":299},[],{"_7":588,"_484":589,"_357":590,"_505":301,"_506":507,"_298":591,"_185":592,"_325":593},"Help Center","/help",3,"帮助中心",{"_306":299,"_308":299,"_310":299},[],{"_7":70,"_484":595,"_357":358,"_505":301,"_506":507,"_298":596,"_185":597,"_325":598},"/privacy","隐私页",{"_306":299,"_308":299,"_310":299},[],{"_7":68,"_484":600,"_357":358,"_505":301,"_506":507,"_298":601,"_185":602,"_325":603},"/service","服务条款",{"_306":299,"_308":299,"_310":299},[],[605,608,611,614,617],{"_7":575,"_484":576,"_357":358,"_505":301,"_506":507,"_298":577,"_185":606,"_325":607},{"_306":299,"_308":299,"_310":299},[],{"_7":581,"_484":582,"_357":583,"_505":301,"_506":507,"_298":584,"_185":609,"_325":610},{"_306":299,"_308":299,"_310":299},[],{"_7":588,"_484":589,"_357":590,"_505":301,"_506":507,"_298":591,"_185":612,"_325":613},{"_306":299,"_308":299,"_310":299},[],{"_7":70,"_484":595,"_357":358,"_505":301,"_506":507,"_298":596,"_185":615,"_325":616},{"_306":299,"_308":299,"_310":299},[],{"_7":68,"_484":600,"_357":358,"_505":301,"_506":507,"_298":601,"_185":618,"_325":619},{"_306":299,"_308":299,"_310":299},[],"sub1_navigate",{"_499":622,"_551":623},[],[],"sub2_navigate",{"_499":626,"_551":627},[],[],"sub3_navigate",{"_499":630,"_551":631},[],[],{"_322":633,"_323":634,"_324":635},"ESPNMart - Global Sports Data & Predictions","football predictions, mathematical model forecasts, live scores, NBA stats, match previews, sports analytics, Argentina vs Colombia, Spain vs Germany, Serbia ranking","ESPNMart is your go-to platform for global sports data and expert predictions. We deliver precise mathematical model-based football forecasts, real-time score updates, and in-depth match analysis across top leagues like the NBA and international football. Whether you're following the intense clash between Argentina and Colombia or tracking the tactical battle between Spain and Germany, ESPNMart provides timely, reliable data to enhance your sports experience. Our mission is to empower fans with science-driven insights for smarter decisions and deeper engagement.","pages/render",{"_484":485,"_638":639,"_494":640,"_320":835},"module","tag",[641],{"_308":642,"_643":644},"ContainerMain","children",[645],{"_308":646,"_643":647},"ContainerMainCenter",[648],{"_308":649,"_331":650,"_829":830},"WaterfallLayout",{"_651":652},"source",{"_356":653,"_654":358,"_655":656,"_662":663,"_822":299,"_823":409,"_320":824,"_828":583},200,"current","info",{"_484":657,"_277":658,"_659":639,"_298":660,"_7":661},"/bayesian-prediction",37400,"mode","Make smarter sports decisions with data-driven Bayesian predictions that turn probability into insight. Trusted by fans, analysts, and bettors worldwide for real-time, science-backed forecasts.","bayesian prediction","list",[664,760],{"_665":666,"_674":675,"_683":504,"_684":383,"_484":685,"_277":686,"_687":688,"_325":689,"_298":693,"_357":-5,"_13":-5,"_694":695,"_696":-5,"_697":698,"_699":700,"_673":701,"_7":725,"_726":727,"_728":729,"_758":759},"assets",[667],{"_350":668,"_277":-5,"_357":358,"_310":299},{"_669":299,"_308":670,"_306":671,"_672":299,"_673":-5,"_7":299,"_310":299},"description","mmxtzzrz3pvx.png","6qx74h/dzyv","suffix","tags","columns",[676],{"_677":678,"_277":682,"_357":358},"column",{"_484":546,"_277":679,"_346":680,"_298":299,"_357":504,"_7":545},1448,[681],{"_277":-5,"_7":545},50643,"comment_total","dislike_total","/when-data-meets-the-beautiful-game-volta-redonda-vs-avai-1-1-draw",51020,"like_total",1463,[690],{"_328":691,"_310":299,"_331":692},"sports_matches","{\"end_play\":\"2025-06-18 00:26:16\",\"league_title\":\"巴乙第12轮\",\"start_play\":\"2025-06-17 22:30:00\",\"status\":\"已结束\",\"team_a\":\"沃尔塔雷东达\",\"team_a_file_name\":\"mjzox9fnr94w.png\",\"team_a_file_path\":\"6qxc0z/dcnf\",\"team_a_fs\":\"1\",\"team_b\":\"阿瓦伊\",\"team_b_file_name\":\"mjzoybne2c5p.png\",\"team_b_file_path\":\"6qxc0z/dcnf\",\"team_b_fs\":\"1\"}","As a UCL-trained data scientist from South London, I watched Volta Redonda vs Avai’s 1-1 draw with statistical eyes—and emotional ones. This wasn’t just a match; it was a time-series puzzle where pressure, precision, and quiet passion collided. Using Python models and Bayesian inference, I tracked how defensive structure and offensive entropy balanced in real time. Here’s what the numbers couldn’t tell you—but the fans did.","published_at","2025-10-23T03:45:27.021917+08:00","published_url","rating_total",61,"share_total",419,[702,711,716],{"_277":-5,"_357":358,"_639":703},{"_484":704,"_277":705,"_346":706,"_298":299,"_357":504,"_7":710},"/football-analytics",6573,[707],{"_277":708,"_298":709,"_7":710},54955,"Dive into advanced football analytics with ESPNMart. Get real-time data, predictive insights, and expert analysis to enhance your understanding of the game. Perfect for fans, analysts, and betting enthusiasts.","football analytics",{"_277":-5,"_357":358,"_639":712},{"_484":657,"_277":658,"_346":713,"_298":299,"_357":504,"_7":661},[714],{"_277":715,"_298":660,"_7":661},585831,{"_277":-5,"_357":358,"_639":717},{"_484":718,"_277":719,"_346":720,"_298":299,"_357":504,"_7":724},"/sports-data-science",42936,[721],{"_277":722,"_298":723,"_7":724},670982,"Unlock data-driven insights for football, NBA, and beyond—turning stats into smart decisions with cutting-edge analytics designed for passionate fans and analysts alike.","sports data science","When Data Meets the Beautiful Game: How a Bayesian Night at Bromley Decided a 1-1 Draw","updated_at","2025-10-23T04:30:27.022205+08:00","user",{"_484":730,"_277":731,"_732":733},"/london-data-wizard",38282,"user_info",{"_734":735,"_350":736,"_752":753,"_687":754,"_755":756,"_298":757},"fans_total",3672,{"_737":738,"_669":299,"_739":504,"_740":741,"_742":743,"_277":744,"_308":745,"_306":746,"_747":748,"_672":749,"_673":750,"_7":299,"_310":299,"_751":743},"content_type","image/png","duration","format","png","height",512,360255,"mlsand1fh9ok.png","6qxyx1/xoi","size",282951,".png",[],"width","follow_total",285,46220,"nick_name","DataWiz_LON","UK-based data analyst blending math and football passion. I turn stats into stories — sharp, clear, and always on time. Follow for real-time insights & predictive depth. Let’s decode the game, together.","view_total",395,{"_665":761,"_674":766,"_683":504,"_684":773,"_484":774,"_277":775,"_687":776,"_325":-5,"_298":777,"_357":-5,"_13":-5,"_694":778,"_696":-5,"_697":779,"_699":780,"_673":781,"_7":804,"_726":805,"_728":806,"_758":821},[762],{"_350":763,"_277":-5,"_357":358,"_310":299},{"_669":299,"_308":764,"_306":765,"_672":299,"_673":-5,"_7":299,"_310":299},"mmrss20gh8ci.png","6qx7kz/chsj",[767],{"_677":768,"_277":772,"_357":358},{"_484":503,"_277":769,"_346":770,"_298":299,"_357":504,"_7":502},1427,[771],{"_277":-5,"_7":502},46283,1709,"/frank-lampard-47-cold-logic-warm-passion",46660,842,"On his 47th birthday, I reflect on Frank Lampard—not just as a midfielder who scored 211 goals for Chelsea, but as a living case study in predictive analytics. His career data—648 appearances, 29 international goals—reveals patterns no emotion could capture. This isn’t luck; it’s Bayesian precision in motion. I’ve seen the numbers. They don’t lie.","2025-10-15T10:09:21.021484+08:00",83,1326,[782,791,795],{"_277":-5,"_357":358,"_639":783},{"_484":784,"_277":785,"_346":786,"_298":299,"_357":504,"_7":790},"/sports-analytics-insights",6581,[787],{"_277":788,"_298":789,"_7":790},54972,"Explore data-driven insights and predictions for football, NBA, and more. Join ESPNMart to elevate your sports analytics game with real-time stats and expert analysis.","sports analytics",{"_277":-5,"_357":358,"_639":792},{"_484":657,"_277":658,"_346":793,"_298":299,"_357":504,"_7":661},[794],{"_277":715,"_298":660,"_7":661},{"_277":-5,"_357":358,"_639":796},{"_484":797,"_277":798,"_346":799,"_298":299,"_357":504,"_7":803},"/frank-lampard",37401,[800],{"_277":801,"_298":802,"_7":803},585839,"Get real-time insights and data-driven predictions tailored for Frank Lampard's tactical legacy—unlock the strategies that made him a football legend and elevate your game analysis.","frank lampard","Frank Lampard at 47: How Cold Logic and Warm Passion Defined a Legend’s Legacy","2025-10-15T10:51:21.021727+08:00",{"_484":807,"_277":808,"_732":809},"/data-driven-dan-2023",30987,{"_734":810,"_350":811,"_752":817,"_687":818,"_755":819,"_298":820},4160,{"_737":738,"_669":299,"_739":504,"_740":741,"_742":743,"_277":812,"_308":813,"_306":814,"_747":815,"_672":749,"_673":816,"_7":299,"_310":299,"_751":743},339452,"mlkkbc22gh1i.png","6qxsxb/em9v",303723,[],579,41794,"DataDynamo73","A data-savvy analyst from Chicago blending math, sports passion, and quiet intensity. I break down NBA & football predictions with precision—and soul. Follow for no fluff, just insight.",582,"message","page_size",{"_324":825,"_323":826,"_322":827},"Discover accurate Bayesian predictions tailored for football, NBA, and major sports. Our science-backed models transform complex data into actionable insights—helping fans, analysts, and bettors make smarter decisions with real-time probabilities. Trusted by global users for reliability, precision, and practical foresight. Join ESPNMart where data meets passion.","bayesian prediction; sports analytics; probabilistic forecasting; data-driven sports; betting insights; real-time predictions; sports modeling","Bayesian Prediction for Sports - Accurate Data-Driven Forecasts","total","data",{"_328":651,"_831":832,"_833":834},"action","DsTagContentList","query",{"_654":358,"_823":409},{"_322":827,"_323":826,"_324":825},"actionData","errors"]