Fantasy Premier League Rate My Team Opti-Bot

Use the most powerful predictive fantasy football algorithm in the world to win your Fantasy Premier League mini-leagues. Make informed transfer decisions and earn more FPL points.

A better FPL team in two simple steps:

Step 1: analyse and fix your FPL Squad using our algorithm. Let us help you find the best transfers to earn the most points in the coming weeks.

Step 2: let our experienced managers sanity check your transfer ideas and updated FPL team.

FPL Optimisation Bot & experienced FPL Managers: Best of both worlds

Spend a few seconds to import your FPL team below. Your team will be automatically rated, you will see a suggested formation, captain and vice captain, and transfer strategies. Use the rating to try out different captains, substitutes or players to find winning combinations. Then ask our helpful FPL experts for assistance with your team.

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How does it work

Rate My Team Bot uses a statistical model that simulates every kick of every game in the premiership thousands of times. We take into account player strengths and weaknesses; opponents strengths, weaknesses and temperament; manager’s game style (attacking vs defensive strategies) and how well each player fits into the system of play; and many other football data-points. By simulating the games many thousands of times we are able to create a statistical view of how each game is likely to play out, and how each player will perform in the game, and thus tell you how close your team is to the “perfect team” for each game week.

We believe this combination of FPL algorithms and FPL experts means you won’t find a better FPL optimisation suite anywhere else on the internet.

This is not a flashy website designed by a physicist playing with statistics and spreadsheets, it is far more credible than that. The model is based on real-world research by the Statistics Professors at the University Of Southampton’s Computer Science team, who specialise in machine learning. Although the RMT Bot has significantly improved since it’s first incarnation in 2010, you can still read their published paper on the original model at “Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains.” by Matthews, Tim, Sarvapali D. Ramchurn, and Georgios Chalkiadakis (AAAI 2012).