Question 1

How do I beat the experienced managers in my mini-league?

Accepted Answer

Stop copying the template and start measuring yourself against your actual rivals. Work out which players your league already owns (owning them keeps pace, missing them is a risk), then find players the top-10k rate that your friends have overlooked. That gap is where mini-league rank is won. FPL God computes both numbers for your specific league.

Question 2

What tools do top-1k FPL managers actually use?

Accepted Answer

Points projection models, expected-goals data rather than raw goals, fixture-difficulty planning several gameweeks ahead, price-change prediction, effective ownership maths, and set-piece and minutes tracking. The advantage is rarely secret information — it is having all of it in one place and never making an emotional transfer.

Question 3

Is FPL God free?

Accepted Answer

Yes. Paste your FPL Team ID and Mini-League ID and everything works. No account, no card.

Question 4

What is effective ownership in FPL?

Accepted Answer

Effective ownership counts captaincy as well as selection: a player owned by 60% and captained by 30% has an effective ownership of 90%, because captains score double. It tells you how much of the field you gain or lose against when that player returns.

Question 5

How many points win Fantasy Premier League overall?

Accepted Answer

Recent champions have scored roughly 2,800 points, up from about 2,460 a decade ago. The record is 2,844 by Jamie Pigott in 2021/22. Winning overall requires an exceptional season and luck; winning your mini-league is a skill problem, which is what this site is built for.

Question 6

When should I use my FPL chips?

Accepted Answer

Since 2025/26 there are two sets of four chips — Wildcard, Free Hit, Bench Boost and Triple Captain in each half of the season, eight in total, and unused first-half chips expire at the Gameweek 19 deadline. The proven pattern is Bench Boost and Triple Captain in Double Gameweeks and Free Hit in a Blank Gameweek.

Demo League (sample data)