『NBA Analytics Daily 🏀』のカバーアート

NBA Analytics Daily 🏀

NBA Analytics Daily 🏀

著者： NBA Analytics Daily
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Welcome to NBA Analytics Daily, the definitive destination for data-driven basketball analysis. Moving past superficial hot takes and traditional box scores, this podcast provides an objective, daily examination of the mechanisms that actually dictate wins and losses across the league.
​Every episode dissects both macro-level team systems and micro-level player performance, keeping the focus strictly locked on modern metrics. The analysis dives deep into lineup and team efficiency, breaking down net ratings, offensive rating trends, and Expected Field Goal Percentage. The hosts also leverage advanced tracking and spatial data, evaluating pick-and-roll Points Per Possession, shot contest mechanics, and defensive rim deterrence. Furthermore, the show utilizes impact and predictive modeling, covering Estimated Plus-Minus, true shooting variances, rotational leverage, and data-backed matchup forecasts.
​Designed for analytical fans, fantasy managers, and basketball purists, NBA Analytics Daily strips away the noise to deliver pure, statistical clarity on the modern NBA. Available daily on Spotify, Apple Podcasts, Spreaker, and wherever you get your podcasts.Copyright NBA Analytics Daily
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  • The 1.26 PPP Dilemma: Drop Coverage Failures, Jokić’s Post Gravity & Tracking Splits | Sep 2

    The 1.26 PPP Dilemma: Drop Coverage Failures, Jokić’s Post Gravity & Tracking Splits | Sep 2
    2026/09/02
    ​Drop coverage is bleeding an unsustainable 1.26 Points Per Possession against pull-up perimeter shooters—and coaching staffs are running out of adjustments. We break down the mathematical crisis forcing defensive coordinators away from traditional drop schemes, contrasting it against the rise of five-out spacing configurations generating an elite 1.22 half-court PPP across the league.
    ​Then, we take a deep dive into the tracking databases to expose what really decided yesterday’s action:
    ​Boston vs. Philadelphia: How Boston generated 1.34 PPP against Philadelphia's drop bigs in high pick-and-roll sets, neutralizing Joel Embiid's 62.4% True Shooting performance.
    ​Denver vs. Minnesota: Nikola Jokić’s 68.2% TS% and post-kickout gravity, paired with Denver’s interior rotations suffocating Minnesota into a 0.86 clutch PPP collapse.
    ​Dallas vs. Phoenix: Luka Dončić generating 1.28 PPP against isolation switches, Dallas's 1.38 transition PPP engine, and the -14.6 Net Rating implosion that derailed Phoenix when Devin Booker sat.
    ​Available daily on Spotify, Apple Podcasts, Spreaker, and wherever you get your podcasts.

    This episode includes AI-generated content.
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    36 分
  • 5-Out Spacing vs. Wembanyama, Lakers Rebounding Dominance & League-Wide Recaps

    5-Out Spacing vs. Wembanyama, Lakers Rebounding Dominance & League-Wide Recaps
    2026/09/01
    Welcome to today’s episode of **NBA Analytics Daily**, where we break down the latest league news and provide a comprehensive, data-driven recap of the entire men's basketball slate. In this edition, we analyze the tactical ripple effects of the Miami Heat's frontcourt alignment with Giannis Antetokounmpo stepping into primary roll-man duties, contrasting his transition Net Rating boost against Bam Adebayo’s perimeter spacing demands. We also examine the micro-level impact of Ja Morant's injury management on the Memphis Grizzlies' half-court Points Per Possession.
    From there, we dive into full analytical game recaps, examining the Four Factors and micro tracking metrics across every matchup. We explore how Miami exploited Milwaukee's drop coverage, how Oklahoma City leveraged a 5-out perimeter structure to neutralize Victor Wembanyama’s 72.5% rim deterrence rate, and how the Los Angeles Lakers used a dominant 32.4% offensive rebounding rate to overcome Golden State’s off-ball gravity.
    Subscribe to **NBA Analytics Daily** on Spotify, Apple Podcasts, Spreaker, and YouTube for daily, objective statistical breakdowns of modern basketball.


    This episode includes AI-generated content.
    続きを読む 一部表示
    34 分
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