xPts engine
500 simulations per fixture. Mean, floor, ceiling.
FPLHERMES simulates every fixture 500 times using Monte Carlo AI to deliver powerful predictions, captaincy picks and transfer advice.
Projection matrix for Gameweek 6 onward.
Saka
ARS · MID
Gibbs-White
NFO · MID
B.Fernandes
MUN · MID
Gabriel
ARS · DEF
Palmer
CHE · MID
Backtested · 2025/26 walk-forward replay
No lookahead: every pick used only data available before that deadline. Bench Boost, Triple Captain and Free Hit are scored from the replayed season; the wildcard figure is an estimate, and the top-1% line is a population reference, not a published rank.
Accurate predictions
500 simulations per fixture.
Smarter insights
Captain picks, transfers, differentials.
Beat your league
Find the edges your rivals miss.
Save time
All the data. None of the noise.
Trusted by FPL managers · 667 players simulated for gameweek 6
Backtested · full 2025/26 replay
Walk-forward, no lookahead. Bench Boost, Triple Captain and Free Hit scored from the replay; the wildcard contribution is an estimate.
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500 simulations per fixture. Mean, floor, ceiling.
Safe armband by floor, ceiling armband by p90.
4 gameweeks ahead, hits priced against gain.
Official flags plus reporting, scaled into xPts.
Effective ownership, threats, edges, H2H duels.
Weekly accuracy published in the Model Lab.
Live ledger · 2026/27
Before every deadline we archive the projection. After the final whistle we score it. These are the published numbers — no cherry-picking, updated weekly.
| Gameweek | Pts MAE | RMSE | Bias | Min MAE | n |
|---|---|---|---|---|---|
| GW1 | 1.70 | 2.81 | +0.39 | 28.4 | 500 |
| GW2 | 1.55 | 2.50 | +0.29 | 26.8 | 469 |
| GW3 | 1.64 | 2.51 | +0.29 | 26.1 | 466 |
| GW4 | 1.77 | 2.74 | +0.33 | 25.0 | 453 |
| GW5 | 1.74 | 2.74 | +0.40 | 25.0 | 441 |
Backtest ledger · 2025/26
We won't claim a rank percentile the Premier League doesn't publish. The template benchmark is computed from the same public dataset, and the live engine keeps scoring itself weekly in the Model Lab.
Free, in-depth guides to how AI actually predicts Fantasy Premier League points — and how to use the numbers without being misled by them.
Most FPL AI tools output a single number and hope you trust it. The ones worth paying for model minutes first, simulate whole fixtures, publish their own error record and tell you how wrong they can be.
A projection is not a guess dressed up in decimals. Here is the actual chain of calculations that turns fixtures, form and injury news into an expected-points number.
xPts is the single most misused number in Fantasy Premier League. Understanding what it is — and what it hides — is the difference between using a model and being used by one.
The best captain is not the highest projected player. It is the player whose distribution matches the risk you need this week.
Good transfer planning is incremental. A tool that answers every question with a full squad rebuild is not planning, it is starting over.
You are not playing ten million managers. You are playing the twelve people in your league, and the correct strategy is entirely determined by the gap between you and them.