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Home/Results/Serie A

Serie A results

The latest 60 finished Serie A matches with full scores, from a dataset of 380 games. Below the scores: the goal and home-advantage profile of this sample, and how our own picks in the league actually settled.

Snapshot taken Aug 5, 2026 · how we work

Sample profile (60 matches)

2.33goals/game
32%home wins
28%draws
40%away wins
42%over 2.5
40%BTTS

These are raw rates for the sample shown, not predictions. They are useful as a sanity check against the totals and match-odds prices you are being offered — a league running well under its usual goal rate is worth noticing before backing overs.

Latest scores

Sun, 24 May 20267 matches
H
Parma v Sassuolo 1 goals
1–0
H
Napoli v Udinese 1 goals
1–0
A
Milan v Cagliari 3 goals · BTTS
1–2
A
Verona v Roma 2 goals
0–2
A
Cremonese v Como 1907 5 goals · BTTS
1–4
H
Lecce v Genoa 1 goals
1–0
D
Torino v Juventus 4 goals · BTTS
2–2
Sat, 23 May 20262 matches
D
Bologna v Inter 6 goals · BTTS
3–3
H
Lazio v AC Pisa 3 goals · BTTS
2–1
Fri, 22 May 20261 match
D
Fiorentina v Atalanta 2 goals · BTTS
1–1
Sun, 17 May 202610 matches
H
Roma v Lazio 2 goals
2–0
A
Genoa v Milan 3 goals · BTTS
1–2
H
Como 1907 v Parma 1 goals
1–0
A
Juventus v Fiorentina 2 goals
0–2
A
AC Pisa v Napoli 3 goals
0–3
D
Inter v Verona 2 goals · BTTS
1–1
A
Atalanta v Bologna 1 goals
0–1
H
Cagliari v Torino 3 goals · BTTS
2–1
A
Sassuolo v Lecce 5 goals · BTTS
2–3
A
Udinese v Cremonese 1 goals
0–1
Mon, 11 May 20261 match
A
Napoli v Bologna 5 goals · BTTS
2–3
Sun, 10 May 20265 matches
A
Verona v Como 1907 1 goals
0–1
D
Fiorentina v Genoa 0 goals
0–0
H
Cremonese v AC Pisa 3 goals
3–0
A
Parma v Roma 5 goals · BTTS
2–3
A
Milan v Atalanta 5 goals · BTTS
2–3
Sat, 9 May 20263 matches
A
Cagliari v Udinese 2 goals
0–2
A
Lazio v Inter 3 goals
0–3
A
Lecce v Juventus 1 goals
0–1
Fri, 8 May 20261 match
H
Torino v Sassuolo 3 goals · BTTS
2–1
Mon, 4 May 20262 matches
A
Cremonese v Lazio 3 goals · BTTS
1–2
H
Roma v Fiorentina 4 goals
4–0
Sun, 3 May 20264 matches
D
Bologna v Cagliari 0 goals
0–0
H
Sassuolo v Milan 2 goals
2–0
D
Juventus v Verona 2 goals · BTTS
1–1
H
Inter v Parma 2 goals
2–0
Sat, 2 May 20263 matches
H
Udinese v Torino 2 goals
2–0
D
Como 1907 v Napoli 0 goals
0–0
D
Atalanta v Genoa 0 goals
0–0
Fri, 1 May 20261 match
A
AC Pisa v Lecce 3 goals · BTTS
1–2
Mon, 27 Apr 20262 matches
H
Cagliari v Atalanta 5 goals · BTTS
3–2
D
Lazio v Udinese 6 goals · BTTS
3–3
Sun, 26 Apr 20264 matches
D
Fiorentina v Sassuolo 0 goals
0–0
A
Genoa v Como 1907 2 goals
0–2
D
Torino v Inter 4 goals · BTTS
2–2
D
Milan v Juventus 0 goals
0–0
Sat, 25 Apr 20263 matches
H
Parma v AC Pisa 1 goals
1–0
A
Bologna v Roma 2 goals
0–2
D
Verona v Lecce 0 goals
0–0
Fri, 24 Apr 20261 match
H
Napoli v Cremonese 4 goals
4–0
Mon, 20 Apr 20261 match
D
Lecce v Fiorentina 2 goals · BTTS
1–1
Sun, 19 Apr 20264 matches
D
Cremonese v Torino 0 goals
0–0
A
Verona v Milan 1 goals
0–1
A
AC Pisa v Genoa 3 goals · BTTS
1–2
H
Juventus v Bologna 2 goals
2–0
Sat, 18 Apr 20263 matches
A
Udinese v Parma 1 goals
0–1
A
Napoli v Lazio 2 goals
0–2
D
Roma v Atalanta 2 goals · BTTS
1–1
Fri, 17 Apr 20262 matches
H
Sassuolo v Como 1907 3 goals · BTTS
2–1
H
Inter v Cagliari 3 goals
3–0

Reading Serie A results without fooling yourself

Results pages invite pattern-hunting, and most patterns found in twenty matches are noise. The reliable content here is the aggregate: this sample produced 2.33 goals per game with home sides winning 32% of the time. Compare those to the prices on offer for the next round — if a bookmaker's totals line implies a goal rate far from the competition's actual one, that gap is at least worth a second look.

What does not work is backing a team because it won its last three, or fading one because it lost them. Markets price recent results immediately and usually over-price them, which is why our model weighs two seasons of scoring rates with time decay instead of chasing streaks. Use these scores to check the market's assumptions, not to build a system from them.

Serie A results FAQ

Where do these Serie A results come from?

From the same football-data snapshot that feeds our model and league tables, refreshed twice a day. The timestamp at the top of the page shows when it was last pulled.

How far back do the results go?

This page shows the most recent 60 matches; our dataset holds 380 finished Serie A games in total, and the full history behind any specific pairing is on its head-to-head page.

Can I use recent results to predict the next round?

Only carefully. Short runs of results are mostly noise, and the market has already priced in anything obvious. Aggregate profiles — goals per game, home-win rate over a large sample — carry more signal than any five-match streak, which is why our model weighs two seasons of rates rather than recent form.