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AC Milan 0-0 Juventus – Result & Analysis

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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

Serie A · Regular Season - 34

Kick-off

Sun 26 Apr 2026

19:45

Venue

Stadio Giuseppe Meazza

Competition

Serie A

Italy

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Juventus at 46%, yet other data sources diverge — this AC Milan vs Juventus fixture contains genuine analytical tension.

✍️ Match Preview

Analysis & Preview

A Serie A encounter, Regular Season - 34 sees Juventus travel to Stadio Giuseppe Meazza to take on AC Milan. The game is scheduled for Sunday 26 April 2026, 19:45 UTC.

Form Analysis

Looking at all fixtures this season, AC Milan stand at 5W 1D 4L from 10 Serie A matches — 1.60 PPG. Last five: L W L L W. They are averaging 1.00 goals per game and conceding 1.00 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in just 30% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes.

AC Milan's home record at Stadio Giuseppe Meazza: 5W 3D 2L from 10 Serie A appearances (1.80 PPG). At home they are averaging 1.30 goals scored and 1.00 conceded per game. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground.

Across all Serie A games this season, Juventus have recorded 5W 3D 2L from 10 outings — 1.80 PPG. Last five: W D W W W. They are scoring at 1.80 per game and conceding 1.10. 5 clean sheets from 10 games (50%) is an exceptional defensive record — they are keeping clean sheets more often than not.

On the road, Juventus have gone 6W 1D 3L from 10 away fixtures this term (1.90 PPG). They are averaging 1.80 goals per away game — strong road scoring that makes them a threat even without home support. 5 away clean sheets from 10 games (50%) — they are as difficult to score against on the road as they are at home.

The form figures are too closely matched to derive a directional pick: AC Milan 1.60 PPG, Juventus 1.80 PPG. Look to other data sets to build the analysis.

H2H

The H2H landscape is flat: 9 previous encounters have yielded 2 wins for AC Milan, 2 for Juventus and 5 draws. A neutral reading in isolation.

These sides have historically produced few goals — 0.9 per contest from 9 previous meetings. The Under 2.5 market has a well-supported historical case here. The most recent clash, on 5 Oct 2025, ended 0–0 with a draw.

With a balanced win record and just 0.9 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading Patterns

AC Milan in-play and half-time data (71 games, 35 at home): they score before half-time in 66% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; BTTS occurs in 49% of their matches (home games); Over 2.5 goals lands in 49% of games (home games).

Juventus in-play and half-time data (71 games, 35 at away): they score before half-time in 69% of fixtures in away games; when goalless at HT, a second-half goal follows 73% of the time; BTTS occurs in 51% of their matches (away games); Over 2.5 goals lands in 40% of games (away games); they keep a clean sheet 44% of the time.

BTTS rates are mixed from the trading data — AC Milan 52% versus Juventus 46%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (AC Milan 52% | Juventus 42%).

Poisson Model

The Poisson distribution model projects AC Milan 1.09 xG and Juventus 1.47 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: AC Milan attack 0.994 / defence 1.027 | Juventus attack 1.262 / defence 0.885. League average goals — home 1.239 / away 1.133. Juventus have an above-average attack strength of 1.262 — the away xG of 1.47 is driven by genuine attacking quality on the road. Data: 71 AC Milan games / 71 Juventus games used (CurrentSeason).

Result probabilities: AC Milan 28% | Draw 26% | Juventus 46%. Fair-value odds: AC Milan 3.57 | Draw 3.85 | Juventus 2.17. Juventus hold a narrow Poisson edge at 46% — the draw (26%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 47% | BTTS probability 51% | Total xG 2.56. Over/Under 2.5 is close to a coin-flip at 47%/53% — the total xG of 2.56 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 51% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates Juventus as the most likely outcome at 46% — moderate model lean. With a 26% draw probability, Draw No Bet on Juventus offers a more defensible entry point than the straight win. The opposing side holds a 28% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.56 combined xG gives a 47% probability to Under 2.5 — reasonable, supported by H2H averaging 0.9 goals per meeting.

Poisson assigns a 51% probability to BTTS Yes based on the attack/defence strength model. This conflicts with form data: AC Milan 40% | Juventus 40% from recent games — a notable divergence.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights

H2H The H2H record is evenly balanced (2W–5D–2W), with no clear historical advantage.
Goals H2H only shows 0.89 goals/game but Poisson xG is 2.56 — this season's attack strength ratings are elevating the goal expectation.
Form Juventus Poisson xG (1.47) is below their form scoring rate (1.80) — home defensive strength is discounting away goal expectation.

🏟️ Match Context

• Fixture: AC Milan vs Juventus | Competition: Serie A, Regular Season - 34 | Venue: Stadio Giuseppe Meazza • Kick-off: Sunday 26 Apr 2026, 19:45 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: AC Milan 28% | Draw 26% | Juventus 46% • Poisson goal markets: Over 2.5 47% | BTTS 51% | xG AC Milan 1.09 / Juventus 1.47 • Poisson strength factors: AC Milan attack 0.994 / def 1.027 | Juventus attack 1.262 / def 0.885 | league avg home 1.239 / away 1.133 • Poisson stance: Juventus (46%) — moderate lean

🧮 Prediction Model

1.09

AC Milan xG

Expected Goals

1.47

Juventus xG

28%
26%
46%
AC Milan Draw Juventus

51%

BTTS

72%

Over 1.5

47%

Over 2.5

25%

Over 3.5

Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓

⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.

❓ Frequently Asked Questions

What time does AC Milan vs Juventus kick off?

AC Milan vs Juventus kicked off at 19:45 on Sunday 26 April 2026 at Stadio Giuseppe Meazza.

What was the final score in AC Milan vs Juventus?

AC Milan 0 - 0 Juventus.

Where is AC Milan vs Juventus being played?

The match is being played at Stadio Giuseppe Meazza.

What competition is AC Milan vs Juventus part of?

AC Milan vs Juventus is a Regular Season - 34 fixture in the Serie A (Italy).

Who is favourite to win AC Milan vs Juventus?

Our statistical model gives AC Milan a 28% chance of winning, Juventus a 46% chance, and a 26% chance of a draw — making Juventus the favourite.

Will both teams score in AC Milan vs Juventus?

Our model estimates a 51% probability that both AC Milan and Juventus will score (BTTS).

Will AC Milan vs Juventus have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 47%.

What is the head-to-head record between AC Milan and Juventus?

Record (9 meetings): AC Milan 2W | Draws 5 | Juventus 2W.

What form are AC Milan and Juventus in?

AC Milan (all comps): 5W-1D-4L in 10 | 1.60 PPG | GF 1.00 / GA 1.00 | L5 L-W-L-L-W. Juventus (all comps): 5W-3D-2L in 10 | 1.80 PPG | GF 1.80 / GA 1.10 | L5 W-D-W-W-W.

🧮 Model Insight

How the Model Works This Match

The model rates AC Milan's attack at 0.99x the league average against Juventus's defence at 0.89x — combine the two and it projects 1.09 expected goals for the hosts. The same calculation in reverse, Juventus's attack versus AC Milan's defence, projects 1.47 expected goals for the visitors.

These ratings are built from 71/71 games of current-season data — a full enough sample to trust.

Scoreline Breakdown

Of every possible scoreline, 1-1 carries the highest individual probability at 14.0% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 0-1 (9.8%), 0-0 (9.4%). Those top three scorelines alone account for 33% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Juventus Win

28%

AC Milan

3.56

26%

Draw

3.84

46%

Juventus

2.18

Top 3 Most Likely Scorelines

1 – 1

12.4%

Draw

Most likely

0 – 1

11.4%

Away win

1 – 2

9.1%

Away win

Expected Goals & Win Odds

1.09

AC Milan xG

Total xG

2.56

1.47

Juventus xG

28%
26%
46%
AC MilanDrawJuventus

3.56

28%

Home win

3.84

26%

Draw

2.18

46%

Away win

Goals Markets

72%

Over 1.5

1.39

28%

Under 1.5

3.57

47%

Over 2.5

2.13

53%

Under 2.5

1.89

25%

Over 3.5

4.00

75%

Under 3.5

1.33

12%

Over 4.5

8.33

88%

Under 4.5

1.14

Match Markets

Both Teams to Score

51%

BTTS Yes

1.96

49%

BTTS No

2.04

Clean Sheet

23%

AC Milan

4.34

34%

Juventus

2.97

Win to Nil

6%

AC Milan

15.46

15%

Juventus

6.49

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 7.7 11.4 8.3 4.1 1.5 0.4
1 8.4 12.4 9.1 4.5 1.6 0.5
2 4.6 6.8 5.0 2.4 0.9 0.3
3 1.7 2.5 1.8 0.9 0.3 0.1
4 0.5 0.7 0.5 0.2 0.1
5 0.1 0.1 0.1 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score

Model Internals
λ Home (xG) 1.090
λ Away (xG) 1.468
Total xG 2.558
League avg home goals 1.239
League avg away goals 1.133
AC Milan attack strength 0.994
AC Milan defence strength 1.027
Juventus attack strength 1.262
Juventus defence strength 0.885
Data phase CurrentSeason
Games used (H/A) 71 / 71

❓ Frequently Asked Questions

What is the most likely scoreline for AC Milan vs Juventus?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 14.0%.

How many goals are AC Milan and Juventus expected to score?

The model projects 1.09 expected goals for AC Milan and 1.47 for Juventus, a combined total of 2.56.

How confident is the prediction model for AC Milan vs Juventus?

Not very — the model's leading outcome sits at just 46%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Form at a Glance

AC Milan come into this having played 71 games, going 37W 18D 16L for 1.82 points per game. Their last five reads L-W-L-L-W.

On the other side, Juventus sit at 1.87 PPG from 71 outings (36W 25D 10L), a run that reads W-D-W-W-W across their last five.

Form-wise this is close to level: AC Milan on 1.82 PPG, Juventus on 1.87. Other factors will likely decide this one more than recent results.

Venue Form

AC Milan's home form reads 18W 11D 6L across 35 games on their own ground, a 1.86 PPG return.

Away from home, Juventus have taken 1.63 points per game from 35 outings (15W 12D 8L).

Goals in Recent Form

AC Milan are averaging 1.54 goals scored and 0.99 conceded per game recently; Juventus are on 1.62 scored and 0.90 conceded. Both sides have been difficult to break down recently — a combination that often points to a tighter, lower-scoring game than the average fixture.

Defensively: AC Milan have kept a clean sheet in 38% of their games; Juventus in 44% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 71 Results — Serie A

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

AC Milan

AC Milan

Current Season
L W L L W
Juventus

Juventus

Current Season
W D W W W
71 Played 71
37/18/16 W / D / L 36/25/10
1.82 Points Per Game 1.87
1.54 Avg Goals Scored 1.62
0.99 Avg Goals Conceded 0.90
2.52 Avg Goals / Game 2.52
27 Clean Sheets 31
37 BTTS 33
37 Over 2.5 Games 30
AC Milan

AC Milan

W
A Hellas Verona
1–0 HT 1–0
19 Apr
L
H Udinese
0–3 HT 0–2
11 Apr
L
A Napoli
0–1 HT 0–0
06 Apr
W
H Torino
3–2 HT 1–1
21 Mar
L
A Lazio
0–1 HT 0–1
15 Mar
W
H Inter
1–0 HT 1–0
08 Mar
W
A Cremonese
2–0 HT 0–0
01 Mar
L
H Parma
0–1 HT 0–0
22 Feb
D
H Como
1–1 HT 0–1
18 Feb
W
A Pisa
2–1 HT 1–0
13 Feb
W
A Bologna
3–0 HT 2–0
03 Feb
D
A AS Roma
1–1 HT 0–0
25 Jan
W
H Lecce
1–0 HT 0–0
18 Jan
W
A Como
3–1 HT 1–1
15 Jan
D
A Fiorentina
1–1 HT 0–0
11 Jan
D
H Genoa
1–1 HT 0–1
08 Jan
W
A Cagliari
1–0 HT 0–0
02 Jan
W
H Hellas Verona
3–0 HT 1–0
28 Dec
D
H Sassuolo
2–2 HT 1–1
14 Dec
W
A Torino
3–2 HT 1–2
08 Dec
W
H Lazio
1–0 HT 0–0
29 Nov
W
A Inter
1–0 HT 0–0
23 Nov
D
A Parma
2–2 HT 2–1
08 Nov
W
H AS Roma
1–0 HT 1–0
02 Nov
D
A Atalanta
1–1 HT 1–1
28 Oct
D
H Pisa
2–2 HT 1–0
24 Oct
W
H Fiorentina
2–1 HT 0–0
19 Oct
D
A Juventus
0–0 HT 0–0
05 Oct
W
H Napoli
2–1 HT 2–0
28 Sep
W
A Udinese
3–0 HT 1–0
20 Sep
W
H Bologna
1–0 HT 0–0
14 Sep
W
A Lecce
2–0 HT 0–0
29 Aug
L
H Cremonese
1–2 HT 1–1
23 Aug
W
H Monza
2–0 HT 0–0
24 May
L
A AS Roma
1–3 HT 1–1
18 May
W
H Bologna
3–1 HT 0–0
09 May
W
A Genoa
2–1 HT 0–0
05 May
W
A Venezia
2–0 HT 1–0
27 Apr
L
H Atalanta
0–1 HT 0–0
20 Apr
W
A Udinese
4–0 HT 2–0
11 Apr
D
H Fiorentina
2–2 HT 1–2
05 Apr
L
A Napoli
1–2 HT 0–2
30 Mar
W
H Como
2–1 HT 0–1
15 Mar
W
A Lecce
3–2 HT 0–1
08 Mar
L
H Lazio
1–2 HT 0–1
02 Mar
L
A Bologna
1–2 HT 1–0
27 Feb
L
A Torino
1–2 HT 0–1
22 Feb
W
H Hellas Verona
1–0 HT 0–0
15 Feb
W
A Empoli
2–0 HT 0–0
08 Feb
D
H Inter
1–1 HT 1–0
02 Feb
W
H Parma
3–2 HT 1–1
26 Jan
L
A Juventus
0–2 HT 0–0
18 Jan
W
A Como
2–1 HT 0–0
14 Jan
D
H Cagliari
1–1 HT 0–0
11 Jan
D
H AS Roma
1–1 HT 1–1
29 Dec
W
A Hellas Verona
1–0 HT 0–0
20 Dec
D
H Genoa
0–0 HT 0–0
15 Dec
L
A Atalanta
1–2 HT 1–1
06 Dec
W
H Empoli
3–0 HT 2–0
30 Nov
D
H Juventus
0–0 HT 0–0
23 Nov
D
A Cagliari
3–3 HT 2–1
09 Nov
W
A Monza
1–0 HT 1–0
02 Nov
L
H Napoli
0–2 HT 0–2
29 Oct
W
H Udinese
1–0 HT 1–0
19 Oct
L
A Fiorentina
1–2 HT 0–1
06 Oct
W
H Lecce
3–0 HT 3–0
27 Sep
W
A Inter
2–1 HT 1–1
22 Sep
W
H Venezia
4–0 HT 4–0
14 Sep
D
A Lazio
2–2 HT 1–0
31 Aug
L
A Parma
1–2 HT 0–1
24 Aug
D
H Torino
2–2 HT 0–1
17 Aug
Juventus

Juventus

W
H Bologna
2–0 HT 1–0
19 Apr
W
A Atalanta
1–0 HT 0–0
11 Apr
W
H Genoa
2–0 HT 2–0
06 Apr
D
H Sassuolo
1–1 HT 1–0
21 Mar
W
A Udinese
1–0 HT 1–0
14 Mar
W
H Pisa
4–0 HT 0–0
07 Mar
D
A AS Roma
3–3 HT 0–1
01 Mar
L
H Como
0–2 HT 0–1
21 Feb
L
A Inter
2–3 HT 1–1
14 Feb
D
H Lazio
2–2 HT 0–1
08 Feb
W
A Parma
4–1 HT 2–0
01 Feb
W
H Napoli
3–0 HT 1–0
25 Jan
L
A Cagliari
0–1 HT 0–0
17 Jan
W
H Cremonese
5–0 HT 3–0
12 Jan
W
A Sassuolo
3–0 HT 1–0
06 Jan
D
H Lecce
1–1 HT 0–1
03 Jan
W
A Pisa
2–0 HT 0–0
27 Dec
W
H AS Roma
2–1 HT 1–0
20 Dec
W
A Bologna
1–0 HT 0–0
14 Dec
L
A Napoli
1–2 HT 0–1
07 Dec
W
H Cagliari
2–1 HT 2–1
29 Nov
D
A Fiorentina
1–1 HT 1–0
22 Nov
D
H Torino
0–0 HT 0–0
08 Nov
W
A Cremonese
2–1 HT 1–0
01 Nov
W
H Udinese
3–1 HT 1–1
29 Oct
L
A Lazio
0–1 HT 0–1
26 Oct
L
A Como
0–2 HT 0–1
19 Oct
D
H AC Milan
0–0 HT 0–0
05 Oct
D
H Atalanta
1–1 HT 0–1
27 Sep
D
A Hellas Verona
1–1 HT 1–1
20 Sep
W
H Inter
4–3 HT 2–1
13 Sep
W
A Genoa
1–0 HT 0–0
31 Aug
W
H Parma
2–0 HT 0–0
24 Aug
W
A Venezia
3–2 HT 2–1
25 May
W
H Udinese
2–0 HT 0–0
18 May
D
A Lazio
1–1 HT 0–0
10 May
D
A Bologna
1–1 HT 1–0
04 May
W
H Monza
2–0 HT 2–0
27 Apr
L
A Parma
0–1 HT 0–1
23 Apr
W
H Lecce
2–1 HT 2–0
12 Apr
D
A AS Roma
1–1 HT 1–0
06 Apr
W
H Genoa
1–0 HT 1–0
29 Mar
L
A Fiorentina
0–3 HT 0–2
16 Mar
L
H Atalanta
0–4 HT 0–1
09 Mar
W
H Hellas Verona
2–0 HT 0–0
03 Mar
W
A Cagliari
1–0 HT 1–0
23 Feb
W
H Inter
1–0 HT 0–0
16 Feb
W
A Como
2–1 HT 1–1
07 Feb
W
H Empoli
4–1 HT 0–1
02 Feb
L
A Napoli
1–2 HT 1–0
25 Jan
W
H AC Milan
2–0 HT 0–0
18 Jan
D
A Atalanta
1–1 HT 0–0
14 Jan
D
A Torino
1–1 HT 1–1
11 Jan
D
H Fiorentina
2–2 HT 1–1
29 Dec
W
A Monza
2–1 HT 2–1
22 Dec
D
H Venezia
2–2 HT 1–0
14 Dec
D
H Bologna
2–2 HT 0–1
07 Dec
D
A Lecce
1–1 HT 0–0
01 Dec
D
A AC Milan
0–0 HT 0–0
23 Nov
W
H Torino
2–0 HT 1–0
09 Nov
W
A Udinese
2–0 HT 2–0
02 Nov
D
H Parma
2–2 HT 1–2
30 Oct
D
A Inter
4–4 HT 2–3
27 Oct
W
H Lazio
1–0 HT 0–0
19 Oct
D
H Cagliari
1–1 HT 1–0
06 Oct
W
A Genoa
3–0 HT 0–0
28 Sep
D
H Napoli
0–0 HT 0–0
21 Sep
D
A Empoli
0–0 HT 0–0
14 Sep
D
H AS Roma
0–0 HT 0–0
01 Sep
W
A Hellas Verona
3–0 HT 2–0
26 Aug
W
H Como
3–0 HT 2–0
19 Aug

❓ Frequently Asked Questions

What form are AC Milan and Juventus in coming into this match?

AC Milan have gone 37W 18D 16L in their last 71 games (1.82 PPG), while Juventus have gone 36W 25D 10L in their last 71 (1.87 PPG).

Which team has the better venue record — AC Milan at home or Juventus away?

AC Milan's home record (1.86 PPG) is the stronger of the two venue-specific splits — AC Milan at home: 1.86 PPG; Juventus away: 1.63 PPG.

Have AC Milan or Juventus been keeping clean sheets recently?

AC Milan have kept a clean sheet in 38% of their recent games, Juventus in 44%.

⚔️ Rivalry Insight

Fixture History

10 meetings separate these sides on the data we hold, the series stretching back to September 2021. Every recorded meeting has come in Serie A. They last met on 26 April 2026, roughly 4 months ago.

Streaks & Records

The last 2 meetings have all been drawn — an unusually settled recent run for this fixture.

AC Milan's record when hosting Juventus specifically: 1W 3D 1L from 5 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

AC Milan

2

AC Milan

6

Draws

Juventus

2

Juventus

Recent Meetings

AC Milan
0–0
26 Apr 26
Juventus
Juventus
0–0
05 Oct 25
AC Milan
Juventus
2–0
18 Jan 25
AC Milan
AC Milan
0–0
23 Nov 24
Juventus
Juventus
0–0
27 Apr 24
AC Milan
AC Milan
0–1
22 Oct 23
Juventus
Juventus
0–1
28 May 23
AC Milan
AC Milan
2–0
08 Oct 22
Juventus
AC Milan
0–0
23 Jan 22
Juventus
Juventus
1–1
19 Sep 21
AC Milan

❓ Frequently Asked Questions

What is the head-to-head record between AC Milan and Juventus?

From 10 meetings on record, AC Milan have won 2, Juventus have won 2, and 6 have been drawn.

When did AC Milan and Juventus last play each other?

They last met on 26 April 2026, when AC Milan 0-0 Juventus.

📈 Trading Insight

First-Half Patterns

AC Milan are typically involved in an early goal — the half-time board shows at least one in 66% of their matches. They've gone in front at half-time 29% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 14% of those situations.

Juventus are typically involved in an early goal — the half-time board shows at least one in 69% of their matches. They've gone in front at half-time 37% of the time.

Full-Time Trends

BTTS sits in mixed territory for this pairing — AC Milan 49%, Juventus 51% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 49% (AC Milan) and 40% (Juventus).

On the defensive side: AC Milan keep a clean sheet in 40% of their matches; Juventus in 34%.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = AC Milan home games / Juventus away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

AC Milan AC Milan Current Season
Metric All
(71 games)
Venue
(35 games)
Half-Time Metrics
1+ Goal Before HT 46/71
(64.8%)
23/35
(65.7%)
2+ Goals Before HT 23/71
(32.4%)
12/35
(34.3%)
0-0 HT → 1+ Goal 2nd Half 22/25
(88%)
10/12
(83.3%)
0-0 HT → 2+ Goals 2nd Half 12/25
(48%)
4/12
(33.3%)
Winning at HT 21/71
(29.6%)
10/35
(28.6%)
Lost Lead (Win HT → No Win FT) 6/71
(8.5%)
2/35
(5.7%)
Came From Behind (Lose HT → Draw/Win FT) 7/71
(9.9%)
5/35
(14.3%)
Full-Time Metrics
BTTS 37/71
(52.1%)
17/35
(48.6%)
Over 2.5 Goals 37/71
(52.1%)
17/35
(48.6%)
Over 3.5 Goals 16/71
(22.5%)
8/35
(22.9%)
Clean Sheet 27/71
(38%)
14/35
(40%)
Failed to Score 10/71
(14.1%)
6/35
(17.1%)
Juventus Juventus Current Season
Metric All
(71 games)
Venue
(35 games)
Half-Time Metrics
1+ Goal Before HT 49/71
(69%)
24/35
(68.6%)
2+ Goals Before HT 21/71
(29.6%)
11/35
(31.4%)
0-0 HT → 1+ Goal 2nd Half 16/22
(72.7%)
9/11
(81.8%)
0-0 HT → 2+ Goals 2nd Half 10/22
(45.5%)
5/11
(45.5%)
Winning at HT 28/71
(39.4%)
13/35
(37.1%)
Lost Lead (Win HT → No Win FT) 7/71
(9.9%)
4/35
(11.4%)
Came From Behind (Lose HT → Draw/Win FT) 8/71
(11.3%)
2/35
(5.7%)
Full-Time Metrics
BTTS 33/71
(46.5%)
18/35
(51.4%)
Over 2.5 Goals 30/71
(42.3%)
14/35
(40%)
Over 3.5 Goals 16/71
(22.5%)
5/35
(14.3%)
Clean Sheet 31/71
(43.7%)
12/35
(34.3%)
Failed to Score 13/71
(18.3%)
7/35
(20%)

❓ Frequently Asked Questions

Do both teams usually score when AC Milan play Juventus?

Not especially — both teams scoring has occurred in only 49% of AC Milan's recent matches and 51% of Juventus's, a rate that leans toward BTTS No.

Is AC Milan vs Juventus usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 49% of AC Milan's recent games and 40% of Juventus's, pointing to a tighter contest.

Do AC Milan and Juventus tend to score early?

AC Milan have had a goal before half-time in 66% of their recent matches, Juventus in 69% — a useful reference point for first-half goal markets.

📰

Stalemate at AC Milan's ground as both sides cancel each other out in a goalless draw.

📝 Match Report

How It Unfolded

The points were shared at Stadio Giuseppe Meazza, Regular Season - 34, as AC Milan and Juventus drew 0-0 in the Serie A. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting AC Milan 1.09 xG and Juventus 1.47 xG, a combined 2.56. The scoreboard read 0-0 for 0 actual goals. AC Milan fell 1.1 short of their projected output. Juventus landed 1.5 under their projected return. Those figures were built on strength ratings of AC Milan attack 0.99 / defence 1.03 against Juventus attack 1.26 / defence 0.89, drawn from 71/71 games (CurrentSeason).

On the result, the model split it AC Milan 28% | Draw 26% | Juventus 46%, with Juventus to win its most likely call at 46%. The actual draw had been the model's second-ranked read at 26%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 47%. The game delivered 0, so it stayed under — in line with the projection. Over 1.5 had been 72% and missed. On both teams to score, the model sat at 51% and the match did not — a miss on BTTS. Historically the two sides average 47% Over 2.5 across their same-competition games (AC Milan 52%, Juventus 42%), a base rate that agreed with today's under. Their combined BTTS history runs at 49%, which matched the one-sided outcome.

Trading Patterns vs Reality

AC Milan's trading profile (71 games, 35 home) set some clear expectations: BTTS lands in 52% of their matches — today it did not; they keep a clean sheet 38% of the time, and duly kept one.

Juventus's trading profile (71 games, 35 away) set some clear expectations: BTTS lands in 46% of their matches — today it did not; they keep a clean sheet 44% of the time, and duly kept one.

Form vs Result

The form lines were close — AC Milan 1.82 PPG, Juventus 1.87 PPG — offering no strong steer, and the draw fit that even billing. AC Milan (home/away splits) managed 0 against a 1.49 scoring average — below par going forward and conceded 0 against a 0.91 average — tighter than their form line. Juventus (home/away splits) managed 0 against a 1.43 scoring average — below par going forward and conceded 0 against a 1.03 average — tighter than their form line.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 47% Over 2.5 probability, 0 goals scored.
Model BTTS bucked the model — 51% projected, one side was shut out.
Trading Trading data backed up — the sides average 47% Over 2.5 historically, and this game stayed under.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.