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.

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.

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.

This episode corrects glitches in the previous podcast, wherein some outdated information was included (whoops!). It breaks down the 2025 São Paulo Grand Prix using advanced AI-run simulations and weather-adjusted Monte Carlo modeling. We cover projected Sprint and Grand Prix results, top fantasy picks, mid-tier differentials, and under-the-radar value plays – plus strategic insight on how rain could shake up the title fight.

This episode of F1 Fantasy Robot breaks down the 2025 São Paulo Grand Prix using advanced AI simulations and weather-adjusted Monte Carlo modeling. We cover projected Sprint and Grand Prix results, top fantasy picks, mid-tier differentials, and under-the-radar value plays – plus strategic insight on how rain could shake up the title fight.

In this episode, we dive deep into the 2025 Mexico City Grand Prix with a full statistical breakdown of what’s shaping up to be one of the most finely poised weekends of the season. Using a custom Monte Carlo model—run 10,000 times—we simulate every possible finishing order to uncover the most probable outcomes for teams, drivers, and fantasy players alike.

This week’s analysis blends the latest technical updates from the paddock with real-world weather data and post-Austin performance trends. Red Bull arrives in Mexico with a brand-new floor, sidepod split-line revision, and enlarged brake ducts designed to claw back the downforce lost at high altitude. Ferrari brings reliability-focused upgrades but sacrifices some aerodynamic efficiency in the thin air. McLaren, Mercedes, and Aston Martin hold steady with no new parts, relying on proven setups to maximize consistency over the weekend.

We’ll unpack what those changes mean for championship momentum and for your F1 fantasy roster. Max Verstappen enters as the statistical favorite after his COTA win, but Lando Norris and Oscar Piastri remain in striking distance—especially if McLaren’s aero efficiency continues to shine at altitude. Ferrari’s cooling compromises and Mercedes’ steady consistency keep them in the mix for podiums but just short of victory contention.

Listeners will also hear how weather stability—clear skies and 25 °C race temps—reduces race-day randomness, rewarding teams that can fine-tune high-downforce setups without overheating. We’ll explain how those conditions narrow the margin between strategy brilliance and tyre degradation missteps, and why McLaren’s internal decision on whether to favor one driver could decide not just this race, but the entire championship.

Expect a grounded, data-rich episode that turns simulation results into actionable insight for fantasy managers and race fans alike. By the end, you’ll know who’s most likely to win, who’s most likely to surprise, and which lineup moves could separate you from the midfield in your F1 fantasy league.

In this episode, we break down the FP1 results and our COTA-specific Monte Carlo simulations to help you finalize your F1 fantasy lineup before Sprint Qualifying. We’ll unpack which teams look strongest around Austin’s unique mix of high-speed flow, long straights, and technical sections – and who’s most likely to outperform expectations when it counts. Expect data-driven insights, lineup strategy tips, and last-minute calls for every tier of your fantasy roster.

This is it - last chance to update your lineups for the 2025 F1 Singapore Grand Prix before qualifying starts at 8am CT. Take a listen and make your picks!