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Análisis frío: los datos no mienten, la emoción sí.","published_at","2025-11-17T17:24:36.018962+08:00","published_url","rating_total",84,"share_total",465,[697,706,711],{"_271":-5,"_353":354,"_633":698},{"_478":699,"_271":700,"_339":701,"_291":292,"_353":498,"_7":705},"/bayesian-models",42942,[702],{"_271":703,"_291":704,"_7":705},677628,"Descubre cómo los modelos bayesianos transforman las predicciones deportivas, convirtiendo la incertidumbre en confianza con análisis basado en datos, diseñado para aficionados, analistas y apostadores que exigen precisión.","Modelos Bayesianos",{"_271":-5,"_353":354,"_633":707},{"_478":651,"_271":652,"_339":708,"_291":292,"_353":498,"_7":655},[709],{"_271":710,"_291":654,"_7":655},955973,{"_271":-5,"_353":354,"_633":712},{"_478":713,"_271":714,"_339":715,"_291":292,"_353":498,"_7":719},"/nba-football-analytics",60101,[716],{"_271":717,"_291":718,"_7":719},956018,"Obtén predicciones en tiempo real y análisis basado en datos para partidos de la NBA y fútbol. 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With an INTJ mind and a phlegmatic calm, he builds predictive models that outperform gut feelings—because numbers don’t lie when emotions do. Based in NYC, trained at MIT, he speaks in clear English: no fluff, no hype—just insight you can bet on.","view_total",680,"message","page_size",{"_317":758,"_316":759,"_315":760},"Descubre el enfrentamiento definitivo entre los modelos algorítmicos avanzados de Blackout y el análisis en tiempo real de Damarotara, diseñado para aficionados, analistas y apostadores. Obtén predicciones precisas y accionables para fútbol, NBA y más. Confiable por profesionales worldwide, convirtiendo datos complejos en estrategias ganadoras. Explora la ventaja que separa la adivinación de la ciencia.","blackout vs damarotara; predicciones deportivas; análisis de IA; datos deportivos en tiempo real; insights de apuestas; fútbol impulsado por datos; análisis de NBA","Blackout vs Damarotara: Predicciones Deportivas con IA y Análisis en Tiempo Real","total","data",{"_321":645,"_764":765,"_766":767},"action","DsTagContentList","query",{"_648":354,"_756":403},{"_315":760,"_316":759,"_317":758},"actionData","errors"]