F1 Fantasy Robot Podcast Por Christopher J. McLaren arte de portada

F1 Fantasy Robot

F1 Fantasy Robot

De: Christopher J. McLaren
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F1 Fantasy Robot is your race-week secret weapon. Using advanced AI, we scan and analyze vast online data—from team news to track conditions—to predict F1 driver and team performance for every Grand Prix. Whether you're chasing a league title or just want to enjoy Grand Prix weekends with a sharper lens, F1 Fantasy Robot helps you see the race before it happens. Episodes drop the day before qualifying, giving you sharp, data-driven insights to optimize your fantasy picks and outpace the competition. Subscribe wherever you get your podcasts, and turn intelligence into fantasy dominance.

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Episodios
  • Abu Dhabi 2025: Data Model Predictions for the F1 Championship Finale
    Dec 6 2025

    A robust Monte Carlo analysis of the 2025 Abu Dhabi Grand Prix, incorporating high tyre degradation, resurfacing effects, strategy volatility, team-order scenarios, and contender-specific risk profiles. This episode explains how the model was built and what 10,000 simulations project for Norris, Verstappen, and Piastri in the title decider.

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    28 m
  • F1 2025 Qatar Grand Prix – Monte Carlo Preview, Vegas Lessons & Fantasy Value Plays
    Nov 25 2025

    In this episode of F1 Fantasy Robot, we turn the fallout from the 2025 Las Vegas Grand Prix into signal for Qatar. We walk through our full Monte Carlo analysis for Lusail, team by team and driver by driver, highlighting who is most likely to convert pace into points and who is poised to punch above their weight after Vegas. You’ll get clear guidance on safe foundation picks, high-upside differentials, and likely value risers for F1 fantasy lineups, so you can adjust your team before practice and qualifying shake up the markets.

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    13 m
  • F1 2025 Las Vegas Grand Prix – Pre-Practice Analysis
    Nov 21 2025

    A full pre practice breakdown of the 2025 Las Vegas Grand Prix. This episode reviews track characteristics, weather forecasts, upgrade news, team and driver form, and the latest Monte Carlo simulation results. Clear, data based insights to help you understand expected performance before any on track running begins.

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    12 m
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