Which Hero Will Claim the FaB World Championship? A Data-Driven Approach Using Monte Carlo Simulation
Posted inClassic Constructed Monte Carlo Simulation

Which Hero Will Claim the FaB World Championship? A Data-Driven Approach Using Monte Carlo Simulation

As the 2024 Flesh and Blood World Championship approaches, speculation abounds over which hero will claim the title. To bring some data-driven insights, I ran a series of simulations using online matchup win rates from over 150.000 matches to predict each hero’s odds. By simulating a thousand championships and then a thousand top-eight elimination brackets, we can reveal the heroes most likely to secure a spot in the top 8 — and ultimately, to take the championship crown.
Decoding Performance Dynamics: an Analysis of Hero Strength and Consistency across Matchups
Posted inClassic Constructed Meta

Decoding Performance Dynamics: an Analysis of Hero Strength and Consistency across Matchups

Mastering Flesh and Blood means more than just knowing your hero; it’s about understanding their place in the ever-evolving meta. Some heroes thrive consistently across matchups, while others rise and fall depending on their foes, demanding specific tactics and careful preparation. Rather than spending countless hours of gameplay to gain these insights, what if you could access a clear, data-driven view of each hero’s matchup behavior?