Top English Premier League Teams, Expected Goals Allowed (2023/2024)
Per 90 minutes
Arsenal FC1.09
0% D
+0.9% W
-12.1% M
– Y
Latest from Realtime (Beta)
Manchester City’s expected goals against improves by 9.38%
The team’s xGA per 90 minutes at 1.05 shows enhanced defensive performance over the past month.
Manchester City FC’s expected goals against (xGA) stands at 1.05 per 90 minutes, indicating a slight improvement over the past month with a decrease of 9.38%.
Arsenal FC | 1.09 |
Manchester City FC | 1.11 |
Liverpool FC | 1.13 |
Brighton & Hove Albion FC | 1.25 |
Chelsea FC | 1.27 |
Manchester United FC | 1.28 |
Fulham FC | 1.32 |
Aston Villa FC | 1.33 |
Tottenham Hotspur FC | 1.34 |
Crystal Palace FC | 1.4 |
Newcastle United FC | 1.41 |
AFC Bournemouth | 1.42 |
Nottingham Forest FC | 1.47 |
Everton FC | 1.48 |
Wolverhampton Wanderers FC | 1.57 |
Ipswich Town FC | 1.62 |
West Ham United FC | 1.69 |
Burnley FC | 1.71 |
Luton Town FC | 1.78 |
Brentford FC | 1.81 |
Leicester City FC | 1.82 |
Southampton FC | 1.84 |
Sheffield United FC | 1.94 |
Click name to see details
Latest news articles
ESPN, Dec 29, 2024
1.91 Manchester City FC | 0% D | - 1.5% W | - 5.9% M | – Y | |
0.8 Manchester City FC | 0% D | - 5.9% W | - 18.4% M | – Y | |
0.64 Liverpool FC | 0% D | - 4.5% W | + 73% M | – Y | |
60% Brighton | – D | – W | – M | – Y | |
122.2 Boston Celtics | 0% D | 0% W | 0% M | – Y | |
108.4 Minnesota Timberwolves | 0% D | 0% W | 0% M | – Y | |
11.7 Boston Celtics | 0% D | 0% W | 0% M | – Y | |
2.26 Manchester City FC | 0% D | 0% W | - 7.4% M | – Y | |
0.82 FC Bayern München | 0% D | 0% W | + 10.8% M | – Y | |
1.44 FC Bayern München | 0% D | 0% W | - 5.9% M | – Y | |
1.86 FC Barcelona | 0% D | 0% W | - 5.1% M | – Y | |
1.8 FC Barcelona | 0% D | 0% W | + 4% M | – Y | |
0.98 Getafe Club de Fútbol | 0% D | 0% W | + 3.2% M | – Y | |
0.74 FC Barcelona | 0% D | 0% W | + 21.3% M | – Y | |
0.88 FC Barcelona | 0% D | 0% W | - 27.3% M | – Y | |
71.4% Cavaliers | 0 D | - 1.3 W | - 3.6 M | – Y | |
2179.1 Aryna Sabalenka | – D | + 0.7% W | + 0.7% M | + 3.6% Y | |
2309.3 Jannik Sinner | – D | 0% W | 0% M | + 5.1% Y | |
2831 Magnus Carlsen | 0% D | 0% W | 0% M | – Y | |
2838 Magnus Carlsen | 0% D | 0% W | + 0.5% M | – Y | |
2890 Magnus Carlsen | 0% D | 0% W | - 0.1% M | – Y | |
13.2 Nikola Jokić | 0% D | 0% W | 0% M | – Y | |
10.6 Nikola Jokić | 0% D | 0% W | 0% M | – Y | |
94.74% BOS Celtics | 0 D | + 5.8 W | + 37.3 M | – Y | |
99.8% Real Madrid | + 25.3 D | + 25.3 W | + 56.8 M | – Y |
About Realtime
Our system continuously tracks and analyzes key changes within public data on a range of topics: economics, politics, sports, and others. It then uses AI to generate live updating visualizations and reports.
To learn more about us, see our frequently asked questions or read about our motivation for starting Realtime.
Join the community
Realtime is currently in Beta, and we want to hear your input.
Join us on Discord to be the first to know about new data and features. There you can request additions to the platform and join discussions about the most impactful movements in data.