Early results reveal different kinds of home advantage

Arsenal's home defence has allowed remarkably little expected-goal quality. Manchester City's attack has created more dangerous opportunities at home, but their away defensive numbers are tighter. Brighton have scored heavily in both settings, while Liverpool's attacking xG has been higher away from Anfield.

Those differences show why a simple home-win percentage cannot describe how teams perform across venues. Some clubs change their chance creation. Others change the quality of opportunities they allow. A few have early-season scoring totals that diverge sharply from the underlying expected-goal figures.

This analysis covers **90 completed Premier League 2026/27 matches**, all with home and away xG available in SmartMatchData. The latest fixture in this snapshot is dated **2 November 2026 (UTC)**. Every club has played nine league matches, but home and away counts differ between four and five. These are early-season observations, not settled team rankings.

For a separate view of goals and chance quality, read the existing Premier League 2026/27 goals-versus-xG analysis.

Arsenal's home defensive numbers stand out

Arsenal have allowed just **1.75 xGA in four home matches**, equivalent to approximately **0.44 per game**. They have conceded **two actual goals** in those fixtures while generating **8.28 attacking xG**, or **2.07 per match**.

Away from home, Arsenal have created **6.65 xG across five games**, or **1.33 per match**. Their away defence has allowed **5.49 xGA**, equivalent to **1.10 per game**, and conceded **three goals**.

The expected-goal difference is **+6.53 at home** and **+1.16 away**. Per match, that is roughly **+1.63 versus +0.23**. The contrast suggests that Arsenal have controlled the balance of chances much more convincingly at home.

Four home games, however, are too few to establish a permanent defensive standard. One difficult opponent or penalty-heavy fixture could change the average noticeably.

Manchester City: stronger home attack, tighter away defence

Manchester City have generated **12.64 xG in five home fixtures**, or **2.53 per game**, scoring **11 goals**. Their home defence has allowed **8.25 xGA**, approximately **1.65 per match**, and conceded **seven goals**.

Across four away games, City have created **6.38 xG**, or **1.60 per match**, and scored **six goals**. Their away xGA is only **3.21**, or **0.80 per game**, with **three actual goals conceded**.

City's attacking output is therefore substantially higher at home, but their chance prevention has been more effective away. Their expected-goal difference is positive in both environments: **+4.39 at home** and **+3.17 away**.

The figures do not establish that City are tactically more defensive on the road. Opponent quality and match states could help explain the difference. What they do show is that a stronger home attack does not automatically mean a stronger overall defensive performance.

Brighton: high scoring, different chance quality

Brighton & Hove Albion have scored **13 goals in four home games** while generating **9.27 xG**, or **2.32 expected goals per match**. Their home defence has allowed **5.18 xGA** and conceded just **one goal**.

In five away fixtures, Brighton have scored **11 goals** from **7.98 xG**, equivalent to **1.60 xG per match**. Their away xGA rises to **7.77**, or **1.55 per game**, with **six goals conceded**.

Brighton's scoring has exceeded xG in both settings. That is an observed difference between goals and estimated chance quality, not a guarantee that the same finishing rate will continue.

Their defensive chance-quality rate is also higher away, meaning the home-versus-away difference is visible at both ends of the pitch. The scoring efficiency guide explains why short-run goals above xG should be interpreted carefully.

Liverpool: more attacking xG away than at home

Liverpool have generated **5.99 xG across five home matches**, averaging **1.20 per game**, and scored **four goals**. Their home xGA is **6.59**, or **1.32 per match**, with **three goals conceded**.

In four away fixtures, Liverpool have generated **6.96 xG**, approximately **1.74 per game**, and scored **seven goals**. Their away defence has allowed **4.00 xGA**, or exactly **1.00 per match**, and conceded **three goals**.

That makes Liverpool an exception to the early-season pattern of stronger home chance creation. Their xG difference is **−0.60 at home** but **+2.96 away**.

The underlying away figures are encouraging in this snapshot, but the sample contains just four away matches. It would be premature to conclude that Liverpool are intrinsically a better away side.

Bournemouth and Tottenham show the value of defensive splits

Bournemouth have created **10.17 xG in five home games**, or **2.03 per match**, compared with **5.66 xG across four away**, or **1.42**. Their xGA is **4.73 at home** and **5.22 away**, corresponding to **0.95 and 1.31 per match**.

Tottenham Hotspur have generated **7.50 xG in five home fixtures**, or **1.50 per game**, compared with **3.93 in four away**, or **0.98**. Their xGA increases from **3.95 at home**, approximately **0.79 per match**, to **6.03 away**, or **1.51**.

Both teams show a stronger home balance of chance creation and prevention. Tottenham's away attacking xG is particularly low relative to its home rate, while its defensive xGA almost doubles per game.

The xG difference guide explains why evaluating attack and defence together is more informative than focusing on one total.

Nottingham Forest: an unusual reverse split

Nottingham Forest have scored **no goals in four home matches** despite generating **3.58 xG**. They have conceded **two goals** from **3.34 xGA**.

Their five away fixtures have produced **11.08 xG**, or **2.22 per game**, and **six actual goals**. Away xGA stands at **5.90**, or **1.18 per match**, with **nine goals conceded**.

Forest's away attacking chance creation has been substantially higher than at home, but their actual away goals have not kept pace with that xG total. Their goals conceded are also much higher away than the underlying xGA alone might suggest.

The distinction between what happened on the scoreboard and the quality of chances is central to interpreting this profile. It would be misleading to infer that Forest's home attack is incapable of scoring based on four fixtures.

Why nine matches require restraint

Every Premier League club in this dataset has played nine games, but no team has more than five fixtures in either venue. A single unusually open match can have a major influence on the average.

There are other limitations. Teams have faced different opponents home and away. Red cards, penalties, score effects and injuries can alter individual matches. The numbers here are not adjusted for opponent strength and should not be read as probabilities for upcoming fixtures.

Per-match rates help avoid comparing five games directly with four, but they do not solve those contextual issues. For a practical method, see Home and Away Football Statistics and Small Sample Size in Football Statistics.

The emerging Premier League picture

Arsenal have restricted home opponents to exceptionally low xGA in this early sample. Manchester City's attacking chance creation is stronger at home, while their defensive xGA rate is lower away. Brighton have combined strong scoring with underlying chance creation across both venues. Liverpool and Nottingham Forest have generated more attacking xG per match away, though their broader profiles differ considerably.

These are descriptive findings from **90 completed league matches**, not predictions or guarantees. The most valuable next step is to monitor whether the differences survive a larger schedule and a wider range of opponents.

Explore the Premier League page, Statistics and Predictions for available match records and model-generated forecasts.