Leagues

League · England

Premier League 2025-26 statistics

2025-26 season

Matches played
380
Goals per match
2.75
Home win
43%
Draw
27%
Away win
30%
3+ goals
55%
Both teams scored
56%

Table

#TeamPWDLGFGAGDPts
1Arsenal3826757127+4485
2Manchester City3823967735+4278
3Manchester United38201176950+1971
4Aston Villa38198115649+765
5Liverpool38179126353+1060
6Bournemouth38131875854+457
7Sunderland381412124248-654
8Brighton381411135246+653
9Brentford381411135552+353
10Chelsea381410145852+652
11Fulham38157164751-452
12Newcastle38147175355-249
13Everton381310154750-349
14Leeds381114134956-747
15Crystal Palace381112154151-1045
16Nottingham Forest381111164851-344
17Tottenham381011174857-941
18West Ham38109194665-1939
19Burnley38410243875-3722
20Wolves38311242768-4120

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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