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Premier League 2026/27 Predictions: Supercomputer Table and What It Means for FPL

  • 15 hours ago
  • 7 min read

The 2026/27 Premier League season is almost here, and one of the biggest questions for Fantasy Premier League (FPL) managers is simple: which teams are expected to perform best this season?


To answer that, we have aggregated the latest Premier League supercomputer predictions from multiple models and used the results to create an overall predicted table.


This is particularly useful for FPL because a team's expected league performance can help identify potential clean-sheet teams, attacking teams, captaincy options, defensive picks, midfielders and forwards worth monitoring. Also, be sure to stay on top by enabling fast football alerts.


The important caveat: a supercomputer predicting the Premier League table is not the same thing as predicting FPL points. It is one input into an FPL decision, alongside fixtures, player prices, minutes, expected goals (xG), expected assists (xA), defensive contribution, bonus potential and set pieces.


2026/27 Premier League Supercomputer Predicted Table


Our aggregated ranking combines the direction of multiple 2026/27 Premier League simulations, including Opta and Sky Sports, alongside other published simulations.


Premier League 2026/27 Predicted Table - Supercomputer aggregated

The individual models do not agree perfectly, but there is a much clearer consensus at the very top and bottom of the table.


Sky Sports' model, for example, used 10,000 simulations and projected Arsenal to retain the Premier League title on 85.2 points, with Manchester City second and Liverpool third.


Who are the best teams for FPL?


1. Arsenal


Arsenal are the standout team across the aggregated projections.


That matters enormously for FPL.


If Arsenal are expected to finish first again, their players naturally become candidates for:


- Premium attackers

- Midfielders

- Goalkeepers

- Defenders

- Clean-sheet points

- Set-piece involvement

- Bonus points


Sky Sports' supercomputer also makes Arsenal favourites to retain the title, while Opta's latest projection similarly puts them at the top of the 2026/27 forecast.


However, don't automatically turn a team prediction into a player pick.


An Arsenal defender with uncertain minutes could still be worse value than a nailed defender from a slightly weaker team.



2. Manchester City


Manchester City remain one of the strongest projected teams despite the major changes around the club.


Sky's simulation places City second with an expected total of around 81 points, while the model gives them a substantial chance of winning the title.


For FPL managers, this makes City one of the key teams to monitor for:


goals + assists + clean sheets + captaincy potential.


The bigger question is which City players offer the best combination of minutes and FPL output.



3. Liverpool


Liverpool are another obvious FPL team to monitor.


Sky's model predicts Liverpool to climb to third with 76.8 expected points.


That creates an interesting FPL question:


«Are Liverpool players correctly priced for their expected team performance?»


That's often more useful than simply asking which club will finish highest.


A £10m midfielder from a projected top-three team can be more attractive than a £7m player from a projected seventh-place side—but only if the difference in expected FPL production justifies the price.


Chelsea and Manchester United: FPL upside?


Chelsea and Manchester United sit inside the aggregated top five.


That makes both clubs worth monitoring, but neither should automatically be treated like Arsenal or Manchester City.


Chelsea are particularly interesting because different models have become increasingly positive about their prospects. Sky projects Chelsea fifth after a significant improvement from last season.


Manchester United are another fascinating FPL case.


A top-five projection creates potential value, particularly if their key attackers are priced below the premium options from Arsenal, City and Liverpool.


This is where FPL points per million becomes more important than the league table itself.



Tottenham could be one of the biggest FPL opportunities


Tottenham are one of the biggest projected risers.


Sky's supercomputer has Spurs finishing sixth, an enormous improvement from their previous league position.


That makes Tottenham one of the teams I would put firmly on the FPL watchlist.


The question isn't simply:


"Will Tottenham finish sixth?"


The better FPL question is:


"Which Tottenham players benefit most if the projection is correct?"


Potential benefits include:


- More attacking returns

- More clean sheets

- More bonus points

- Better fixture outcomes

- Greater captaincy potential

- Improved value from mid-priced players


This is exactly how supercomputer predictions should be used in FPL: as a starting point for finding players, rather than as a reason to buy them blindly.



Newcastle are the biggest model disagreement


Newcastle are arguably the most interesting team in the entire projection.


Different models are much less consistent about where Newcastle will finish.


That makes Newcastle particularly important for FPL managers because uncertainty can create both risk and value.


If the pessimistic projections are correct, Newcastle assets could disappoint.


If the more optimistic models are right, Newcastle players could become some of the better value picks in the game.


This is why Newcastle should probably be treated as a monitor rather than an automatic avoid.



Which teams could provide FPL differentials?


The middle of the table is where things get particularly interesting.


Brighton


Brighton are projected around the European places in the aggregated model.


That makes them an interesting source of potential FPL differentials, particularly if their players are priced below the established premium clubs.


Bournemouth


Bournemouth are another team worth monitoring.


Their projected position around 10th doesn't immediately scream "FPL assets", but that's exactly where value can sometimes appear.


If an attacking player has:


- secure minutes

- penalties or set pieces

- strong xG/xA numbers

- a favourable starting fixture run

- a low ownership percentage


then the club's overall ranking becomes less important.


Brentford


Brentford sit around the middle of the aggregated table.


Their FPL appeal will depend heavily on individual player roles and prices rather than the team's overall projected position.


For managers looking for cheap FPL players and differentials, this is the type of club worth investigating.


Which teams should worry FPL managers?


The bottom of the supercomputer table is arguably even more useful for FPL.


Hull City, Coventry City and Ipswich Town are all projected to struggle.


Sky's model is particularly pessimistic about Hull, giving them an 81.6% relegation probability. Ipswich are next at 47.5%, while Nottingham Forest and Coventry are both at 43.1%.


That doesn't automatically mean:


"Never own a player from these clubs."


But it does create an important FPL warning.


Teams expected to spend large portions of the season defending can suffer from:


- fewer goals

- fewer assists

- fewer clean sheets

- fewer bonus opportunities

- lower possession

- fewer big chances


There can still be exceptions, especially with attacking players who are heavily involved in their team's goals.


But the burden of proof should be higher.


The promoted teams: be careful


The three promoted clubs—Coventry City, Hull City and Ipswich Town—are particularly interesting for FPL managers.


They could offer cheap players, but the supercomputer projections suggest survival will be difficult.


Opta and other models also identify significant relegation risk among the promoted clubs, while Sky's model is particularly negative about Hull and Ipswich.


There is also an important fixture-based argument.


Coventry face Arsenal and Manchester City in their opening two fixtures, while Hull have a difficult early run including Manchester United, Aston Villa, Chelsea and Newcastle.


For FPL managers, this means promoted players should be assessed alongside the fixture difficulty rating (FDR) rather than simply their £4.5m-style starting prices.



Does the supercomputer predict FPL points?


No.


This is one of the most important distinctions.


A Premier League supercomputer is generally trying to predict things such as:


league position → points → wins → draws → losses → relegation/title probabilities.


FPL managers need something different:


player minutes → goals → assists → clean sheets → defensive contributions → bonus points → FPL points.


For example, a team could finish seventh but have an exceptional FPL midfielder.


Likewise, a top-four club could have very few attractive FPL assets if its players are expensive, rotation-prone or poorly priced.


The official FPL game has also introduced changes for 2026/27, including changes to the Bonus Points System and player price-prediction tools, making player-level analysis even more important.


How FPL managers should use the 2026/27 supercomputer table


The best way to use this table is as a team-strength filter.


Start with the predicted table.


Then ask:


1. Which teams are expected to score the most goals?


Look for their attackers.


2. Which teams are expected to concede the fewest goals?


Look for their defenders and goalkeepers.


3. Which teams have the best opening fixtures?


Compare the projection with the FDR.


4. Which players are nailed?


Minutes matter enormously.


5. Which players are underpriced?


This is where the biggest FPL opportunities can emerge.


6. Which players have strong underlying statistics?


Use xG, xA, shots, chances created, touches in the box and defensive contribution alongside the team projection.


7. Who is low-owned?


A strong projected team plus a low-owned player can create an excellent FPL differential.


Best FPL teams to monitor before Gameweek 1


Based on the aggregated table, my initial team watchlist is:


Arsenal → Manchester City → Liverpool → Chelsea → Manchester United → Aston Villa → Tottenham → Newcastle → Brighton → Bournemouth.


That doesn't mean you should own players from all ten.


It means these are the clubs where the supercomputer projections give us the strongest starting point for deeper FPL player analysis.



Final verdict


The 2026/27 supercomputer consensus is relatively clear:


Arsenal are the team to beat.


Manchester City and Liverpool form the next tier, while Chelsea, Manchester United and Aston Villa are expected to compete around the European places.


Tottenham are one of the biggest projected risers, while Newcastle are arguably the biggest uncertainty.


At the bottom, Hull, Ipswich and Coventry are among the biggest relegation concerns, with Nottingham Forest, Crystal Palace and Sunderland also carrying meaningful risk.


But for FPL, the most important lesson is this:


«Don't pick players because their team is predicted to finish highly. Pick players whose individual expected FPL output justifies their price.»


The supercomputer table is therefore best used as the first layer of an FPL model.


Combine it with fixtures, FDR, xG, xA, expected minutes, set pieces, defensive contributions, bonus potential, price and ownership—and you have a much stronger process for building your FPL 2026/27 Gameweek 1 squad.


Sources and methodology


The aggregated table is based on published 2026/27 Premier League simulations and predictions, including Opta's supercomputer projections, Sky Sports' 10,000-simulation model, and other published simulations. Sky states that its model incorporates historic performance, transfer activity and probability odds.


These predictions should be treated as probabilistic forecasts, not guaranteed final standings. TACTIX, for example, also uses 10,000 simulations and explicitly describes its output as a projection rather than an exact prediction. Lastly, be sure to stay on top by enabling fast football alerts for the 2026/27 season.


 
 
 

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