Start with expected points.
Expected points are the model's average across 10,000 simulated outcomes. They show the central estimate, but they do not show how widely the result can move.
The best FPL captain is not always the player with the highest average. FPL Prism compares expected points with the floor, ceiling and probability bands behind each captaincy decision.
Expected points are the model's average across 10,000 simulated outcomes. They show the central estimate, but they do not show how widely the result can move.
A tight range can suit a manager protecting rank. A wider range can suit a manager chasing. The dashboard shows p10, median and p90 outcomes alongside the average.
Protect, balanced, chase and mini-league postures use the same projection set but weight uncertainty and differential upside differently. The recommendation is a decision aid, not a guarantee.
The public Modelbook preserves deadline snapshots and compares them with official FPL points, including the biggest misses and the model's signed bias.
No. FPL points are uncertain. FPL Prism reports a distribution of outcomes and explains the assumptions behind it.
It combines expected points, expected minutes, fixture context, player rates and a simulated outcome range, then applies the manager's chosen risk posture.
Open the live dashboard and enter a public FPL Team ID, or use the sample squad to explore the decision desk without an account.
Yes. Use the floor, ceiling, haul probability and Sharpe-style score in Player Market, then open the reasoning behind each player.