Leagues

League · England

Premier League 2022-23 statistics

2022-23 season

Matches played
380
Goals per match
2.85
Home win
48%
Draw
23%
Away win
29%
3+ goals
53%
Both teams scored
52%

Table

#TeamPWDLGFGAGDPts
1Manchester City3828559433+6189
2Arsenal3826668843+4584
3Manchester United3823695843+1575
4Newcastle38191456833+3571
5Liverpool38191097547+2867
6Brighton38188127253+1962
7Aston Villa38187135146+561
8Tottenham38186147063+760
9Brentford38151495846+1259
10Fulham38157165553+252
11Crystal Palace381112154049-945
12Chelsea381111163847-944
13Wolves38118193158-2741
14West Ham38117204255-1340
15Bournemouth38116213771-3439
16Nottingham Forest38911183868-3038
17Everton38812183457-2336
18Leicester3897225168-1734
19Leeds38710214878-3031
20Southampton3867253673-3725

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

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