---
description: We simulated the Premier League in EA Sports FC 26. Liverpool dominated, Wolves struggled, and a surprise striker claimed the Golden Boot.
title: EA Sports FC 26 Predicts Premier League | Premier League Predictions
image: https://cdn.oddspedia.com/images/betting/2025/09/ea-sports-fc-26r.jpg
---

_EA Sports FC 26_ launched in the small hours of this morning, and our researchers got to work.

Oddspedia Insights have simulated the [Premier League](https://oddspedia.com/football/england/premier-league) using what many of us still know as ‘FIFA’ to find out if the most realistic football game in the world can predict the EPL season and help you find some value bets you may have missed.

> “This is the Stamford Bridge rollercoaster: where the manager changes as often as the kit and the owner just wants the ride to go faster.”

So while you were sleeping, our researchers were yawning, pumping caffeine directly into their eyes, and feverishly writing down team names in a Microsoft Excel spreadsheet. If you want to enjoy their pain: skip to the end of the article for some of the notes they made during the study.

Let’s do this: the _EA Sports FC 26_ Premier League Simulator.

## Key Findings

* Liverpool won the Premier League in 81% of our simulations and never finished lower than 3rd.
* Manchester City and Arsenal also dominated the top spots in study: City never finished lower than 3rd and the Gunners lowest finish was 4th.
* Wolverhampton Wanderers were relegated in 80% of simulations.
* Manchester United didn’t crack the top four in our study – their average finishing position was 7.3.
* Of the three promoted teams: Sunderland AFC was given the best prospects of survival with an average finishing position of 15.2 and achieved a 7th place finish.
* Arsenal’s Viktor Gyökeres finished as the league’s top scorer in over 40% of simulations, averaging 25 goals, beating out the bookmaker’s favourite Erling Haaland (30%).

## EA Sports FC 26 Premier League Team Finishing Positions

### Average Finishing Position

|    | Team                                                                                                        | Average Position |
| -- | ----------------------------------------------------------------------------------------------------------- | ---------------- |
| 1  | ![Liverpool](https://cdn.oddspedia.com/images/teams/small/1/2538.png) Liverpool                             | 1.4              |
| 2  | ![Manchester City](https://cdn.oddspedia.com/images/teams/small/1/2528.png) Manchester City                 | 1.8              |
| 3  | ![Arsenal](https://cdn.oddspedia.com/images/teams/small/1/2536.png) Arsenal                                 | 2.8              |
| 4  | ![Tottenham Hotspur](https://cdn.oddspedia.com/images/teams/small/1/2366.png) Tottenham Hotspur             | 4.6              |
| 5  | ![Manchester United](https://cdn.oddspedia.com/images/teams/small/1/2356.png) Manchester United             | 4.8              |
| 6  | ![Newcastle](https://cdn.oddspedia.com/images/teams/small/1/2527.png) Newcastle United                      | 5.5              |
| 7  | ![Chelsea](https://cdn.oddspedia.com/images/teams/small/1/2354.png) Chelsea                                 | 7.2              |
| 8  | ![Aston Villa](https://cdn.oddspedia.com/images/teams/small/1/2361.png) Aston Villa                         | 7.8              |
| 9  | ![Crystal Palace](https://cdn.oddspedia.com/images/teams/small/1/2537.png) Crystal Palace                   | 8.5              |
| 10 | ![Nottingham Forest](https://cdn.oddspedia.com/images/teams/small/1/2395.png) Nottingham Forest             | 9.8              |
| 11 | ![Bournemouth](https://cdn.oddspedia.com/images/teams/small/1/2342.png) Bournemouth                         | 11.6             |
| 12 | ![Brighton & Hove Albion](https://cdn.oddspedia.com/images/teams/small/1/2497.png) Brighton & Hove Albion   | 12.4             |
| 13 | ![Everton](https://cdn.oddspedia.com/images/teams/small/1/2526.png) Everton                                 | 13.2             |
| 14 | ![Sunderland](https://cdn.oddspedia.com/images/teams/small/1/2364.png) Sunderland                           | 14.5             |
| 15 | ![Fulham](https://cdn.oddspedia.com/images/teams/small/1/2392.png) Fulham                                   | 14.7             |
| 16 | ![West Ham](https://cdn.oddspedia.com/images/teams/small/1/2365.png) West Ham United                        | 15.2             |
| 17 | ![Brentford](https://cdn.oddspedia.com/images/teams/small/1/2333.png) Brentford                             | 16.5             |
| 18 | ![Leeds](https://cdn.oddspedia.com/images/teams/small/1/2394.png) Leeds United                              | 17.3             |
| 19 | ![Burnley](https://cdn.oddspedia.com/images/teams/small/1/2352.png) Burnley                                 | 17.8             |
| 20 | ![Wolverhampton Wanderers](https://cdn.oddspedia.com/images/teams/small/1/2337.png) Wolverhampton Wanderers | 17.9             |

### Highest and Lowest Finishing Positions

## Is the ‘Top Four’ now the ‘Top Three’?

Our _EA Sports FC 26_ simulations were dominated by Liverpool, Arsenal and Manchester City – they won every title in every outcome.

Liverpool and Manchester City never finished lower than third place throughout with Arsenal logging a number of fourth place finishes

After that: four other teams took a share of fourth place: Spurs, Aston Villa, Newcastle United and Nottingham Forest on one occasion.

This shows the gulf in talent between those top three teams and the rest of the league: no other team was as reliably predicted in the simulator with an average range of league positions for the other 17 teams of 7.1.

## Manchester United outside looking in

Manchester United’s fall from grace over recent years sees them fall outside the top four completely in our study, finishing no higher than fifth.

The pressure on Ruben Amorim and his squad is clearly expected to continue through this season, and our notes recorded no big name transfers coming into the club to raise fans’ spirits.

## Chelsea: boom or bust

Chelsea FC were one of only two teams outside of Liverpool, Arsenal and Manchester City to crack the top three of the Premier League in our study.

However they also recorded an 11th place finish in one outcome.

_This is the Stamford Bridge rollercoaster: where the manager changes as often as the kit and the owner just wants the ride to go faster._

## A surprise striker takes the Golden Boot

Our study found Viktor Gyökeres unexpectedly broke the Haaland/Salah lockdown on the Premier League Golden Boot trophy as the top goalscorer in the league in over 40% of simulations.

He’s currently priced at 11/2 in the [EPL Top Goalscorer odds](https://oddspedia.com/insights/football/premier-league-top-scorer-odds) with an implied probability of 15.4%: he may be the value bet of value bets for this market.

## The Relegation yo-yo: will the three new teams go straight back down?

Good news! As a group of three: the promoted teams of Burnley, Leeds United and Sunderland were never relegated all together in our study

Bad news: at least one of three was relegated in every simulation, with two of the teams relegated in over 40% of outcomes.

This is totally to be expected: all three teams are among the favourites for the drop in the latest [Premier League Relegation odds](https://oddspedia.com/insights/football/premier-league-relegation-odds).

## …but things could be worse. You could be a Wolves fan.

Not only are winless Wolverhampton Wanderers still pointless in the Premier League: they’re also heavily predicted to finish in the bottom three (80%) and dead-last (30%). Yikes.

## Transfer Tidbits

Throughout the _EA Sports FC 26_ study we tracked major transfers in the January transfer window: here’s some of the wildest moves that showed up multiple times.

| Player          | From                                                                                         | To                                                                                              | Highest Fee |
| --------------- | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | ----------- |
| Nico Williams   | ![Athletic Bilbao](https://cdn.oddspedia.com/images/teams/small/1/3463.png) Athletico Bilbao | ![Manchester City](https://cdn.oddspedia.com/images/teams/small/1/2528.png) Manchester City     | £178.1m     |
| Martin Odegaard | ![Arsenal](https://cdn.oddspedia.com/images/teams/small/1/2536.png) Arsenal                  | ![Real Madrid](https://cdn.oddspedia.com/images/teams/small/1/1.png) Real Madrid                | £107.6m     |
| Moises Caicedo  | ![Chelsea](https://cdn.oddspedia.com/images/teams/small/1/2354.png) Chelsea                  | ![Paris Saint-Germain](https://cdn.oddspedia.com/images/teams/small/1/3236.png) Paris SG        | £107.0m     |
| Jordan Pickford | ![Everton](https://cdn.oddspedia.com/images/teams/small/1/2526.png) Everton                  | ![Juventus](https://cdn.oddspedia.com/images/teams/small/1/3190.png) Juventus                   | £19.0m      |
| Gabriel Jesus   | ![Arsenal](https://cdn.oddspedia.com/images/teams/small/1/2536.png) Arsenal                  | ![Brentford](https://cdn.oddspedia.com/images/teams/small/1/2333.png) Brentford                 | £19.2m      |
| Diogo Costa     | ![Porto](https://cdn.oddspedia.com/images/teams/small/1/3415.png) Porto                      | ![Tottenham Hotspur](https://cdn.oddspedia.com/images/teams/small/1/2366.png) Tottenham Hotspur | £57.0m      |

* In 30% of simulations Antonio Rudiger moved from Real Madrid to a team at the top of the EPL.
* Jordan Pickford left Everton in 52% of simulated January transfer windows.
* Manchester United sold far more than they bought in the study, including allowing young talent like Amad and Kobbie Mainoo to join Bournemouth and Sunderland respectively.

## Methodology

Our researchers simulated one season of the Premier League in _EA Sports FC 26_ 16 times using the exact same settings:

* Manager Mode: Live Start Points
* Team: Crawley Town (League 2 – chosen at random to enable access to information about the EPL but with very little chance of interacting with an EPL team)
* Gameplay type: Authentic
* Difficulty: Ultimate
* Deeper simulation: on > choose the EPL only
* Half length 6 minutes
* Board Strictness: No sackings
* Financial takeover: off
* Currency: Sterling
* Unexpected events: off

They then simulated from the starting point of the season through to the end of the January Transfer Window, and then through to beyond the end of the season in June 2026.

The finishing league positions for every team were recorded, alongside the winners of the Premier League Golden Boot, the FA Cup, and the UEFA Champions League.

## Researcher’s Commentary

* _“Crawley Town’s season is collapsing over and over while the EPL sims in the background.”_
* _“I haven’t seen a single second of gameplay for this game and I’ve been playing for 90 minutes now…”_
* _“Salford City’s logo looks like a fictional team logo from a modern Roy of the Rovers.”_
* _“The Pro-Liverpool bias in this game is bonkers.”_
* _“The game is annoying me now with the crashes.”_
* _“Cambridge United’s logo is BANGING.”_

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* [#Features ](/insights/tags/features)
* [#Football ](/insights/tags/football)
* [#Premier League ](/insights/tags/premier-league)

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Andy is a sports writer and content creator specializing in performance data and analytics. He is also one of the UK’s top football coaches, leading a top-5 ranked team. He regularly appears in local and national media covering the UK’s fastest-growing sport. Though football is his primary passion, Andy has experience in college basketball, pro basketball, and MLB. With a degree in Film and Media, he has a rich background in digital communication and marketing. Andy excels at creating intelligent, data-driven content that entertains and informs bettors, with his work quoted in Sports Illustrated and Newsweek. His analytical approach to betting mirrors his content creation, ensuring well-supported perspectives and predictions.

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 )\())  (()/(   (()/(   (()/(  (()/(   (    (()/(   (()/(     )\
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 / _ \   |   \   |   \  / __|  | _ \  | __|  |   \  |_ _|   (_)_\(_)
| (_) |  | |) |  | |) | \__ \  |  _/  | _|   | |) |  | |     / _ \
 \___/   |___/   |___/  |___/  |_|    |___|  |___/  |___|   /_/ \_\

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