Leagues

League · Italy

Serie A 2025-26 statistics

2025-26 season

Matches played
380
Goals per match
2.43
Home win
39%
Draw
26%
Away win
35%
3+ goals
46%
Both teams scored
45%

Table

#TeamPWDLGFGAGDPts
1Inter3827658935+5487
2Napoli3823785836+2276
3AS Roma38234115931+2873
4Como38201176529+3671
5AC Milan38201085335+1870
6Juventus38191276134+2769
7Atalanta38151495136+1559
8Bologna38168144946+356
9Lazio381412124140+154
10Udinese38148164548-350
11Sassuolo38147174650-449
12Parma381112152846-1845
13Torino38129174463-1945
14Cagliari381110174053-1343
15Fiorentina38915144150-942
16Genoa381011174151-1041
17Lecce38108202850-2238
18Cremonese38810203257-2534
19Hellas Verona38312232561-3621
20Pisa38212242671-4518

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)
Inter67.6%97.2%0.0%81.0
AS Roma10.8%66.6%0.0%70.4
Como7.1%61.4%0.0%69.1
Napoli6.5%58.5%0.0%68.7
Juventus4.5%50.2%0.0%67.1
Atalanta2.5%36.7%0.0%64.8
AC Milan0.8%18.7%0.0%60.3
Bologna0.1%4.0%0.8%53.5
Lazio0.0%2.6%1.3%52.1
Fiorentina0.0%1.9%1.8%50.9
Udinese0.0%1.1%2.3%49.7
Sassuolo0.0%0.5%5.6%47.0
Cagliari0.0%0.4%8.4%45.1
Genoa0.0%0.1%12.8%43.2
Torino0.0%0.1%15.1%42.5
Parma0.0%0.0%33.1%37.8
Venezia0.0%0.0%38.2%37.1
Lecce0.0%0.0%43.9%36.0
Frosinone0.0%0.0%49.9%35.2
Monza0.0%0.0%86.8%27.8

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%74763%
60%39371%
70%14177%
Double chance
Model at leastPredictionsRealised
75%134584%
80%77687%
85%38691%
Goals markets
Model at leastPredictionsRealised
50%135854%
55%56559%
60%16059%

And if it had to answer every match?

Model
54%
Always pick home
41%
Picking at random
33%
Reachable ceiling
73%

Why that ceiling is not 100%: 27% 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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