Why Fixture Difficulty Should be Focused on More for the New Football Season

Last updated on August 19th, 2026

Fixture difficulty is one of the most talked about concepts in FPL, and one of the most consistently ignored in football betting.

A simple comparison number for some, but those who take it seriously see a far deeper number, weighing up a lot of different things, all vital. 

Whether you’re choosing your starting FPL team, or placing a bet on teams to win and players to score, the fixture difficulty rating is something you should focus on a lot more in the new season. 

What Fixture Difficulty Actually Measures

The FPL Fixture Difficulty Rating assigns a score to each upcoming match based on opponent strength. 

At its simplest it tells you whether a player is facing a top four side or a team fighting relegation. 

But underneath that simplified number sits something much deeper, recent form, home and away performance splits, defensive and attacking matchup data, and how teams tend to set up against specific types of opposition. 

It’s a planning tool that needs to be utilised by more players. The managers who use it well aren’t just looking at next week. 

They’re looking three or four gameweeks ahead and making decisions now that pay off later.

FPL Managers & Gamblers Should Think the Same

That habit of forward planning based on fixture runs is exactly the kind of structured thinking that separates considered gamblers from reactive ones. 

FPL managers who spend time mapping out upcoming schedules before committing to transfers are doing something that most casual football punters never bother to do. This is looking at the context behind a match rather than just the names on the team sheet. 

The PFT Fixture Difficulty tool is one of the cleaner ways to visualise upcoming fixture runs across the whole Premier League, and it’s as useful for identifying betting angles as it is for planning transfers. 

For anyone already using that data to inform FPL decisions, applying it across UK betting sites to find value in match result or player markets is a natural next step.

Where the Betting Market Gets Fixture Difficulty Wrong

The market tends to price big clubs based on reputation rather than context. 

A top six side with a run of difficult away fixtures in the next three gameweeks will still be heavily favoured in each individual match, even when the cumulative picture suggests they’re likely to drop points. 

Equally, a mid table team with three consecutive home games against sides in poor form can be systematically underpriced week after week simply because casual fans back the bigger name. 

These are patterns that repeat across most seasons and show up when you look at the fixture picture in advance rather than on the morning of the game.

Home and Away Differences Matter

Analysis covering nearly 30 seasons of Premier League data shows that home teams win more frequently than away teams by a margin of 10-20 percentage points in nearly every season.

This is a gap that has remained remarkably consistent over time, as documented in research from George Washington University’s data analysis programme

That’s a significant edge, and yet betting lines don’t always fully account for it when combined with fixture context. 

How to Use Fixture Runs

The most practical application is identifying teams with three or four soft fixtures in a row and backing them in cumulative markets.

Every FPL manager builds their transfer strategy around these runs. A

pplying the same logic to football betting markets means the research you’re already doing for your FPL team can be used twice over. 

The fixture is the same whether you’re picking a captain or placing a bet, the information just needs to translate across in a different way.

Mark De Carvalho
Written by
Owner and founder

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>