Leagues

League · England

Premier League 2023-24 statistics

2023-24 season

Matches played
380
Goals per match
3.28
Home win
46%
Draw
22%
Away win
32%
3+ goals
65%
Both teams scored
62%

Table

#TeamPWDLGFGAGDPts
1Manchester City3828739634+6291
2Arsenal3828559129+6289
3Liverpool38241048641+4582
4Aston Villa38208107661+1568
5Tottenham38206127461+1366
6Chelsea38189117763+1463
7Newcastle38186148562+2360
8Manchester United38186145758-160
9West Ham381410146074-1452
10Crystal Palace381310155758-149
11Brighton381212145562-748
12Everton38139164051-1148
13Bournemouth38139165467-1348
14Fulham38138175561-647
15Wolves38137185065-1546
16Brentford38109195665-939
17Nottingham Forest3899204967-1836
18Luton3868245285-3326
19Burnley3859244178-3724
20Sheffield Utd38372835104-6916

The table is computed from match results; matches decided by forfeit count with the score declared by the federation. Points deducted or awarded separately are not reflected. Only regular-season matches count — play-offs and relegation matches are excluded.

Teams in this league

Every team in this season's fixture list. Unlike the standings table, teams that have not played yet also appear here.

Season simulation

The remaining fixtures were played out 10,000 times using the model's current probabilities. Percentages below are how often each team finished in that position.

TeamTitleTop 4Bottom 3Pts (avg)
Arsenal61.6%98.4%0.0%78.3
Manchester City33.8%95.4%0.0%74.6
Liverpool1.5%39.1%0.4%59.7
Hull City0.7%29.1%0.7%57.8
Manchester United0.6%22.8%1.4%56.3
Brentford0.4%21.1%1.6%55.7
Bournemouth0.3%17.1%2.2%54.7
Aston Villa0.3%17.4%2.4%54.6
Brighton0.2%12.8%3.8%53.1
Newcastle0.1%10.9%4.6%52.4
Chelsea0.2%10.2%4.7%52.0
Leeds0.1%8.2%5.1%51.5
Everton0.1%6.5%6.4%50.6
Nottingham Forest0.1%5.8%8.3%49.6
Fulham0.0%3.2%13.0%47.6
Sunderland0.0%0.7%32.1%42.6
Coventry0.0%0.5%39.0%41.3
Crystal Palace0.0%0.4%40.5%40.9
Tottenham0.0%0.3%47.7%39.7
Ipswich0.0%0.0%86.0%32.0

Method: ratings are frozen as of the run date; ties break by points-GD-goals, country-specific rules not applied. Pairings below the publishing threshold use the model's prior rating. The table refreshes whenever the script is re-run.

Generated: 2026-08-23 · 3 · 10,000

The model's record in this league

The model's claim is not “I know every match” — it is “I know where I'm confident”. Measured in this league:

Match result
Model at leastPredictionsRealised
50%82064%
60%45670%
70%21781%
Double chance
Model at leastPredictionsRealised
75%160982%
80%89186%
85%45090%
Goals markets
Model at leastPredictionsRealised
50%244759%
55%177261%
60%97265%

And if it had to answer every match?

Model
55%
Always pick home
44%
Picking at random
33%
Reachable ceiling
76%

Why that ceiling is not 100%: 24% of matches in this league end in a draw, and a draw is almost never the single most likely outcome on its own. So one “accuracy” figure cannot be read on its own — it is read next to these anchors.

Matches measured: 1440. The thresholds were not cherry-picked — all of them are shown. Incorrect predictions are included and none are hidden.

Full track record

Upcoming matches