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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 - 13

Kick-off

Sat 23 Nov 2024

17:00

Venue

Stadio Giuseppe Meazza

Competition

Serie A

Italy

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Juventus at 42%, 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 - 13 sees Juventus travel to Stadio Giuseppe Meazza to take on AC Milan. The game is scheduled for Saturday 23 November 2024, 17:00 UTC.

Form Analysis

Looking at all fixtures this season, AC Milan stand at 5W 2D 3L from 10 Serie A matches — 1.70 PPG. Last five: L W L W D. Offensively they are averaging 1.80 goals per game, with 1.20 conceded. 4 clean sheets in 10 games (40%) reflects a solid defensive base. This season is still relatively young for AC Milan, so this record blends games from this season and last.

AC Milan's home record at Stadio Giuseppe Meazza: 5W 3D 2L from 10 Serie A appearances (1.80 PPG). They are averaging 2.50 goals per home game — a prolific scoring rate in front of their own fans. 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 4W 6D 0L from 10 outings — 1.80 PPG. Last five: W D D W W. They are scoring at 1.50 per game and conceding 0.70. Defensively, 0.70 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 7 clean sheets from 10 games (70%) is an exceptional defensive record — they are keeping clean sheets more often than not. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets. This season is still relatively young for Juventus, so this record blends games from this season and last.

On the road, Juventus have gone 3W 6D 1L from 10 away fixtures this term (1.50 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 1.70 PPG, Juventus 1.80 PPG. Look to other data sets to build the analysis.

H2H

The H2H landscape is flat: 6 previous encounters have yielded 2 wins for AC Milan, 1 for Juventus and 3 draws. A neutral reading in isolation.

These sides have historically produced few goals — 1.0 per contest from 6 previous meetings. The Under 2.5 market has a well-supported historical case here. The most recent clash, on 27 Apr 2024, ended 0–0 with a draw.

With a balanced win record and just 1.0 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 (49 games, 23 at home): they score before half-time in 83% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; they lead at the break 49% of the time; BTTS occurs in 39% of their matches (home games); Over 2.5 goals lands in 52% of games (home games); Over 3.5 in 47%.

Juventus in-play and half-time data (49 games, 23 at away): they score before half-time in 70% of fixtures in away games; when goalless at HT, a second-half goal follows 63% of the time; BTTS occurs in 48% of their matches (away games); Over 2.5 goals lands in 52% of games (away games); they keep a clean sheet 51% of the time.

BTTS rates are mixed from the trading data — AC Milan 59% versus Juventus 43%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (AC Milan 67% | Juventus 39%).

Poisson Model

The Poisson distribution model projects AC Milan 1.45 xG and Juventus 1.64 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 1.186 / defence 0.894 | Juventus attack 1.363 / defence 0.892. League average goals — home 1.371 / away 1.348. Juventus have an above-average attack strength of 1.363 — the away xG of 1.64 is driven by genuine attacking quality on the road. Data: 49 AC Milan games / 50 Juventus games used (CurrentSeason).

Result probabilities: AC Milan 34% | Draw 24% | Juventus 42%. Fair-value odds: AC Milan 2.94 | Draw 4.17 | Juventus 2.38. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 60% | BTTS probability 62% | Total xG 3.09. Over 2.5 holds a meaningful probability edge at 60% — the 3.09 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 62% reflects that both xG figures (1.45 / 1.64) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Our Verdict

Poisson rates Juventus as the most likely outcome at 42% — marginal model lean. With a 24% draw probability, Draw No Bet on Juventus offers a more defensible entry point than the straight win. The opposing side holds a 34% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 3.09 combined xG gives a 60% probability to Over 2.5 — marginal — conflicting signals, supported by form averaging 3.3 goals per game — though H2H averaging only 1.0 goals per meeting points in the other direction.

Poisson assigns a 62% probability to BTTS Yes based on the attack/defence strength model. Form rates are neutral: AC Milan 50% | Juventus 40%.

The outsider holds a 34% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 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–3D–1W), with no clear historical advantage.
Goals H2H only shows 1.00 goals/game but Poisson xG is 3.09 — this season's attack strength ratings are elevating the goal expectation.
Form AC Milan Poisson xG (1.45) is below their recent form scoring rate (2.50) — opposition defensive quality is suppressing the model's expectation.
Goals Poisson Over 2.5 probability is 60% — the model favours goals in this fixture.
BTTS Poisson BTTS probability is 62% — model favours both teams scoring.

🏟️ Match Context

• Fixture: AC Milan vs Juventus | Competition: Serie A, Regular Season - 13 | Venue: Stadio Giuseppe Meazza • Kick-off: Saturday 23 Nov 2024, 17:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: AC Milan 34% | Draw 24% | Juventus 42% • Poisson goal markets: Over 2.5 60% | BTTS 62% | xG AC Milan 1.45 / Juventus 1.64 • Poisson strength factors: AC Milan attack 1.186 / def 0.894 | Juventus attack 1.363 / def 0.892 | league avg home 1.371 / away 1.348 • Poisson stance: Juventus (42%) — low confidence — close contest

🎲 Betting Market Intelligence

• Odds data is not currently available for this fixture

🧮 Prediction Model

1.45

AC Milan xG

Expected Goals

1.64

Juventus xG

34%
24%
42%
AC Milan Draw Juventus

62%

BTTS

81%

Over 1.5

60%

Over 2.5

37%

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 17:00 on Saturday 23 November 2024 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 - 13 fixture in the Serie A (Italy).

Who is favourite to win AC Milan vs Juventus?

Our statistical model gives AC Milan a 34% chance of winning, Juventus a 42% chance, and a 24% chance of a draw — making Juventus the favourite.

Will both teams score in AC Milan vs Juventus?

Our model estimates a 62% 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 60%.

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

Record (6 meetings): AC Milan 2W | Draws 3 | Juventus 1W.

What form are AC Milan and Juventus in?

AC Milan (all comps): 5W-2D-3L in 10 | 1.70 PPG | GF 1.80 / GA 1.20 | L5 L-W-L-W-D. Juventus (all comps): 4W-6D-0L in 10 | 1.80 PPG | GF 1.50 / GA 0.70 | L5 W-D-D-W-W.

What do the betting odds say about AC Milan vs Juventus?

Odds data is not currently available for this fixture.

🧮 Model Insight

How the Model Works This Match

The model rates AC Milan's attack at 1.19x the league average against Juventus's defence at 0.89x — combine the two and it projects 1.45 expected goals for the hosts. The same calculation in reverse, Juventus's attack versus AC Milan's defence, projects 1.64 expected goals for the visitors.

These ratings are built from 49/50 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 12.2% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 1-2 (8.9%), 2-1 (7.8%). Together the top three scorelines make up 29% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Juventus Win

34%

AC Milan

2.94

24%

Draw

4.21

42%

Juventus

2.37

Top 3 Most Likely Scorelines

1 – 1

10.8%

Draw

Most likely

1 – 2

8.9%

Away win

2 – 1

7.8%

Home win

Expected Goals & Win Odds

1.45

AC Milan xG

Total xG

3.09

1.64

Juventus xG

34%
24%
42%
AC MilanDrawJuventus

2.94

34%

Home win

4.21

24%

Draw

2.37

42%

Away win

Goals Markets

81%

Over 1.5

1.23

19%

Under 1.5

5.26

60%

Over 2.5

1.67

40%

Under 2.5

2.50

37%

Over 3.5

2.70

63%

Under 3.5

1.59

20%

Over 4.5

5.00

80%

Under 4.5

1.25

Match Markets

Both Teams to Score

62%

BTTS Yes

1.62

38%

BTTS No

2.61

Clean Sheet

19%

AC Milan

5.16

23%

Juventus

4.27

Win to Nil

7%

AC Milan

15.17

10%

Juventus

10.12

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 4.5 7.4 6.1 3.3 1.4 0.4
1 6.6 10.8 8.9 4.9 2.0 0.7
2 4.8 7.8 6.4 3.5 1.4 0.5
3 2.3 3.8 3.1 1.7 0.7 0.2
4 0.8 1.4 1.1 0.6 0.3 0.1
5 0.2 0.4 0.3 0.2 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· White ring = most likely score

Model Internals
λ Home (xG) 1.452
λ Away (xG) 1.641
Total xG 3.093
League avg home goals 1.371
League avg away goals 1.348
AC Milan attack strength 1.186
AC Milan defence strength 0.894
Juventus attack strength 1.363
Juventus defence strength 0.892
Data phase CurrentSeason
Games used (H/A) 49 / 50

❓ 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 12.2%.

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

The model projects 1.45 expected goals for AC Milan and 1.64 for Juventus, a combined total of 3.09.

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

Not very — the model's leading outcome sits at just 42%, 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 49 games, going 27W 12D 10L for 1.90 points per game. Their last five reads L-W-L-W-D. The sample for AC Milan is still a mix of this season and last, given how young the current campaign is.

On the other side, Juventus sit at 1.88 PPG from 49 outings (24W 20D 5L), a run that reads W-D-D-W-W across their last five. The sample for Juventus is still a mix of this season and last, given how young the current campaign is.

Form-wise this is close to level: AC Milan on 1.90 PPG, Juventus on 1.88. Other factors will likely decide this one more than recent results.

Venue Form

AC Milan's home form reads 14W 5D 4L across 23 games on their own ground, a 2.04 PPG return.

Away from home, Juventus have taken 1.70 points per game from 23 outings (10W 9D 4L).

Goals in Recent Form

AC Milan are averaging 1.96 goals scored and 1.29 conceded per game recently; Juventus are on 1.47 scored and 0.78 conceded. AC Milan's scoring rate against Juventus's tighter defensive record is one of the more interesting match-ups in the goals markets here.

Defensively: Juventus in 51% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 49 Results — Serie A

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

AC Milan

AC Milan

Blended
L W L W D
Juventus

Juventus

Blended
W D D W W
49 Played 49
27/12/10 W / D / L 24/20/5
1.90 Points Per Game 1.88
1.96 Avg Goals Scored 1.47
1.29 Avg Goals Conceded 0.78
3.24 Avg Goals / Game 2.24
17 Clean Sheets 25
29 BTTS 21
33 Over 2.5 Games 19
AC Milan

AC Milan

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
D
H Salernitana
3–3 HT 2–0
25 May
L
A Torino
1–3 HT 0–2
18 May
W
H Cagliari
5–1 HT 1–0
11 May
D
H Genoa
3–3 HT 1–1
05 May
D
A Juventus
0–0 HT 0–0
27 Apr
L
H Inter
1–2 HT 0–1
22 Apr
D
A Sassuolo
3–3 HT 1–2
14 Apr
W
H Lecce
3–0 HT 2–0
06 Apr
W
A Fiorentina
2–1 HT 0–0
30 Mar
W
A Hellas Verona
3–1 HT 1–0
17 Mar
W
H Empoli
1–0 HT 1–0
10 Mar
W
A Lazio
1–0 HT 0–0
01 Mar
D
H Atalanta
1–1 HT 1–1
25 Feb
L
A Monza
2–4 HT 0–2
18 Feb
W
H Napoli
1–0 HT 1–0
11 Feb
W
A Frosinone
3–2 HT 1–1
03 Feb
D
H Bologna
2–2 HT 1–1
27 Jan
W
A Udinese
3–2 HT 1–1
20 Jan
W
H AS Roma
3–1 HT 1–0
14 Jan
W
A Empoli
3–0 HT 2–0
07 Jan
W
H Sassuolo
1–0 HT 0–0
30 Dec
D
A Salernitana
2–2 HT 1–1
22 Dec
W
H Monza
3–0 HT 2–0
17 Dec
L
A Atalanta
2–3 HT 1–1
09 Dec
W
H Frosinone
3–1 HT 1–0
02 Dec
W
H Fiorentina
1–0 HT 1–0
25 Nov
D
A Lecce
2–2 HT 2–0
11 Nov
L
H Udinese
0–1 HT 0–0
04 Nov
D
A Napoli
2–2 HT 2–0
29 Oct
L
H Juventus
0–1 HT 0–0
22 Oct
W
A Genoa
1–0 HT 0–0
07 Oct
W
H Lazio
2–0 HT 0–0
30 Sep
W
A Cagliari
3–1 HT 2–1
27 Sep
W
H Hellas Verona
1–0 HT 1–0
23 Sep
L
A Inter
1–5 HT 0–2
16 Sep
W
A AS Roma
2–1 HT 1–0
01 Sep
W
H Torino
4–1 HT 3–1
26 Aug
W
A Bologna
2–0 HT 2–0
21 Aug
Juventus

Juventus

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
W
H Monza
2–0 HT 2–0
25 May
D
A Bologna
3–3 HT 0–2
20 May
D
H Salernitana
1–1 HT 0–1
12 May
D
A AS Roma
1–1 HT 1–1
05 May
D
H AC Milan
0–0 HT 0–0
27 Apr
D
A Cagliari
2–2 HT 0–2
19 Apr
D
A Torino
0–0 HT 0–0
13 Apr
W
H Fiorentina
1–0 HT 1–0
07 Apr
L
A Lazio
0–1 HT 0–0
30 Mar
D
H Genoa
0–0 HT 0–0
17 Mar
D
H Atalanta
2–2 HT 0–1
10 Mar
L
A Napoli
1–2 HT 0–1
03 Mar
W
H Frosinone
3–2 HT 2–2
25 Feb
D
A Hellas Verona
2–2 HT 1–1
17 Feb
L
H Udinese
0–1 HT 0–1
12 Feb
L
A Inter
0–1 HT 0–1
04 Feb
D
H Empoli
1–1 HT 0–0
27 Jan
W
A Lecce
3–0 HT 0–0
21 Jan
W
H Sassuolo
3–0 HT 2–0
16 Jan
W
A Salernitana
2–1 HT 0–1
07 Jan
W
H AS Roma
1–0 HT 0–0
30 Dec
W
A Frosinone
2–1 HT 1–0
23 Dec
D
A Genoa
1–1 HT 1–0
15 Dec
W
H Napoli
1–0 HT 0–0
08 Dec
W
A Monza
2–1 HT 1–0
01 Dec
D
H Inter
1–1 HT 1–1
26 Nov
W
H Cagliari
2–1 HT 0–0
11 Nov
W
A Fiorentina
1–0 HT 1–0
05 Nov
W
H Hellas Verona
1–0 HT 0–0
28 Oct
W
A AC Milan
1–0 HT 0–0
22 Oct
W
H Torino
2–0 HT 0–0
07 Oct
D
A Atalanta
0–0 HT 0–0
01 Oct
W
H Lecce
1–0 HT 0–0
26 Sep
L
A Sassuolo
2–4 HT 1–2
23 Sep
W
H Lazio
3–1 HT 2–0
16 Sep
W
A Empoli
2–0 HT 1–0
03 Sep
D
H Bologna
1–1 HT 0–1
27 Aug

❓ Frequently Asked Questions

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

AC Milan have gone 27W 12D 10L in their last 49 games (1.90 PPG), while Juventus have gone 24W 20D 5L in their last 49 (1.88 PPG).

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

AC Milan's home record (2.04 PPG) is the stronger of the two venue-specific splits — AC Milan at home: 2.04 PPG; Juventus away: 1.70 PPG.

Have AC Milan or Juventus been keeping clean sheets recently?

AC Milan have kept a clean sheet in 35% of their recent games, Juventus in 51%.

⚔️ 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 3 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 83% of their matches. They've gone in front at half-time 56% of the time.

Juventus are typically involved in an early goal — the half-time board shows at least one in 70% of their matches. They've gone in front at half-time 30% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 17% of those situations.

Full-Time Trends

BTTS sits in mixed territory for this pairing — AC Milan 39%, Juventus 48% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 52% (AC Milan) and 52% (Juventus).

On the defensive side: AC Milan keep a clean sheet in 48% of their matches; Juventus in 44%.

📈

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 Blended
Metric All
(49 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 41/49
(83.7%)
19/23
(82.6%)
2+ Goals Before HT 25/49
(51%)
9/23
(39.1%)
0-0 HT → 1+ Goal 2nd Half 7/8
(87.5%)
4/4
(100%)
0-0 HT → 2+ Goals 2nd Half 2/8
(25%)
1/4
(25%)
Winning at HT 24/49
(49%)
13/23
(56.5%)
Lost Lead (Win HT → No Win FT) 5/49
(10.2%)
1/23
(4.3%)
Came From Behind (Lose HT → Draw/Win FT) 2/49
(4.1%)
1/23
(4.3%)
Full-Time Metrics
BTTS 29/49
(59.2%)
9/23
(39.1%)
Over 2.5 Goals 33/49
(67.3%)
12/23
(52.2%)
Over 3.5 Goals 23/49
(46.9%)
8/23
(34.8%)
Clean Sheet 17/49
(34.7%)
11/23
(47.8%)
Failed to Score 4/49
(8.2%)
3/23
(13%)
Juventus Juventus Blended
Metric All
(49 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 30/49
(61.2%)
16/23
(69.6%)
2+ Goals Before HT 15/49
(30.6%)
8/23
(34.8%)
0-0 HT → 1+ Goal 2nd Half 12/19
(63.2%)
4/7
(57.1%)
0-0 HT → 2+ Goals 2nd Half 5/19
(26.3%)
2/7
(28.6%)
Winning at HT 14/49
(28.6%)
7/23
(30.4%)
Lost Lead (Win HT → No Win FT) 2/49
(4.1%)
1/23
(4.3%)
Came From Behind (Lose HT → Draw/Win FT) 8/49
(16.3%)
4/23
(17.4%)
Full-Time Metrics
BTTS 21/49
(42.9%)
11/23
(47.8%)
Over 2.5 Goals 19/49
(38.8%)
12/23
(52.2%)
Over 3.5 Goals 9/49
(18.4%)
5/23
(21.7%)
Clean Sheet 25/49
(51%)
10/23
(43.5%)
Failed to Score 10/49
(20.4%)
5/23
(21.7%)

❓ Frequently Asked Questions

Do both teams usually score when AC Milan play Juventus?

Not especially — both teams scoring has occurred in only 39% of AC Milan's recent matches and 48% 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 52% of AC Milan's recent games and 52% 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 83% of their recent matches, Juventus in 70% — a useful reference point for first-half goal markets.

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

📝 Match Report

How It Unfolded

AC Milan and Juventus finished level at 0-0 at Stadio Giuseppe Meazza, Regular Season - 13, in the Serie A. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting AC Milan 1.45 xG and Juventus 1.64 xG, a combined 3.09. The scoreboard read 0-0 for 0 actual goals. AC Milan fell 1.5 short of their projected output. Juventus landed 1.6 under their projected return. Those figures were built on strength ratings of AC Milan attack 1.19 / defence 0.89 against Juventus attack 1.36 / defence 0.89, drawn from 49/50 games (CurrentSeason).

On the result, the model split it AC Milan 34% | Draw 24% | Juventus 42%, with Juventus to win its most likely call at 42%. Instead the game produced a draw, an outcome the model had rated at just 24% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 60%. The game delivered 0, so it stayed under — the opposite of the projected direction. Over 1.5 had been 81% and missed. On both teams to score, the model sat at 62% and the match did not — a miss on BTTS. Historically the two sides average 53% Over 2.5 across their same-competition games (AC Milan 67%, Juventus 39%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 51%, which did not match the one-sided outcome.

Trading Patterns vs Reality

AC Milan's trading profile (49 games, 23 home) set some clear expectations: BTTS lands in 59% of their matches — today it did not; they keep a clean sheet 35% of the time, and duly kept one.

Juventus's trading profile (49 games, 23 away) set some clear expectations: BTTS lands in 43% of their matches — today it did not; they keep a clean sheet 51% of the time, and duly kept one.

Form vs Result

The form lines were close — AC Milan 1.90 PPG, Juventus 1.88 PPG — offering no strong steer, and the draw fit that even billing. AC Milan (home/away splits) managed 0 against a 1.91 scoring average — below par going forward and conceded 0 against a 0.87 average — tighter than their form line. Juventus (home/away splits) managed 0 against a 1.61 scoring average — below par going forward and conceded 0 against a 1.04 average — tighter than their form line.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights

Model Goals market defied the model — 60% Over 2.5 probability, but 0 goals scored.
Model BTTS bucked the model — 62% projected, one side was shut out.
Trading Trading data bucked — 53% historical Over 2.5 rate, but the 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.