Sign in Register

AC Milan 2-3 Atalanta – Result & Analysis

🎯

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

Serie A · Regular Season - 36

Kick-off

Sun 10 May 2026

19:45

Venue

Stadio Giuseppe Meazza

Competition

Serie A

Italy

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Atalanta at 39%, yet other data sources diverge — this AC Milan vs Atalanta fixture contains genuine analytical tension.

✍️ Match Preview

Pre-Match Analysis

AC Milan and Atalanta meet at Stadio Giuseppe Meazza in Serie A, Regular Season - 36. This fixture gets under way on Sunday 10 May 2026 at 19:45 UTC.

Current Form

AC Milan's overall Serie A record this term: 4W 1D 5L from 10 games (1.30 PPG). Last five: L L W D L. They are averaging 0.70 goals per game and conceding 1.00 — a modest attacking output that tempers optimism on the Over 2.5 market. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Both teams have scored in only 10% of their games — a low BTTS rate that suggests clean sheets are a regular occurrence.

In front of their own supporters this season, AC Milan have posted 4W 4D 2L at Stadio Giuseppe Meazza — 1.60 PPG. At home they are averaging 1.20 goals scored and 1.00 conceded per game. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground.

Atalanta have collected 1.30 PPG across 10 Serie A outings this season: 3W 4D 3L. Last five: W L D L D. Their scoring rate of 1.30 per game is modest, conceding 1.10 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

When travelling in Serie A this season, Atalanta have posted 4W 4D 2L from 10 away outings — 1.60 PPG. Away from home they average 1.40 goals scored and 0.80 conceded per game. 5 away clean sheets from 10 games (50%) — they are as difficult to score against on the road as they are at home.

Neither side holds a meaningful form edge. The 1.30 vs 1.30 PPG split is negligible — model and market signals should carry more analytical weight for this one.

H2H History

The head-to-head record is closely matched — AC Milan lead 3W to 3W over the last 9 encounters, with 3 draws, though neither side has established a commanding advantage.

The 9 previous meetings have averaged 2.7 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 28 Oct 2025, ended 1–1 with a draw.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Data

AC Milan goal-timing and half-time pattern breakdown (73 games, 36 at home): they score before half-time in 64% of fixtures in home games; when goalless at HT, a second-half goal follows 85% of the time; BTTS occurs in 47% of their matches (home games); Over 2.5 goals lands in 47% of games (home games).

Atalanta goal-timing and half-time pattern breakdown (73 games, 36 at away): they score before half-time in 72% of fixtures in away games; when goalless at HT, a second-half goal follows 70% of the time; BTTS occurs in 44% of their matches (away games); Over 2.5 goals lands in 47% of games (away games).

BTTS rates are mixed from the trading data — AC Milan 51% versus Atalanta 51%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (AC Milan 51% | Atalanta 47%).

Poisson Model

The Poisson distribution model projects AC Milan 1.06 xG and Atalanta 1.20 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 0.929 / defence 0.930 | Atalanta attack 1.168 / defence 0.919. League average goals — home 1.239 / away 1.105. Data: 73 AC Milan games / 73 Atalanta games used (CurrentSeason).

Result probabilities: AC Milan 32% | Draw 29% | Atalanta 39%. Fair-value odds: AC Milan 3.12 | Draw 3.45 | Atalanta 2.56. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 39% | BTTS probability 46% | Total xG 2.26. Under 2.5 has a narrow probability edge at 61% — total xG of 2.26 is below the line but not decisively so. BTTS probability of 46% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Atalanta as the most likely outcome at 39% — marginal model lean. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Atalanta if the outright odds are short. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.26 xG in total — Under 2.5 at 39% — reasonable confidence, supported by form averaging 2.2 goals per game.

Poisson assigns a 46% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: AC Milan 40% | Atalanta 50% BTTS from recent games.

The outsider holds a 32% 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 (3W–3D–3W), with no clear historical advantage.
Goals Poisson Over 2.5 probability is only 39% — the model points to an Under 2.5 outcome.

🏟️ Match Context

• Fixture: AC Milan vs Atalanta | Competition: Serie A, Regular Season - 36 | Venue: Stadio Giuseppe Meazza • Kick-off: Sunday 10 May 2026, 19:45 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: AC Milan 32% | Draw 29% | Atalanta 39% • Poisson goal markets: Over 2.5 39% | BTTS 46% | xG AC Milan 1.06 / Atalanta 1.20 • Poisson strength factors: AC Milan attack 0.929 / def 0.930 | Atalanta attack 1.168 / def 0.919 | league avg home 1.239 / away 1.105 • Poisson stance: Atalanta (39%) — low confidence — close contest

🧮 Prediction Model

1.06

AC Milan xG

Expected Goals

1.20

Atalanta xG

32%
29%
39%
AC Milan Draw Atalanta

46%

BTTS

66%

Over 1.5

39%

Over 2.5

19%

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 Atalanta kick off?

AC Milan vs Atalanta kicked off at 19:45 on Sunday 10 May 2026 at Stadio Giuseppe Meazza.

What was the final score in AC Milan vs Atalanta?

AC Milan 2 - 3 Atalanta.

Where is AC Milan vs Atalanta being played?

The match is being played at Stadio Giuseppe Meazza.

What competition is AC Milan vs Atalanta part of?

AC Milan vs Atalanta is a Regular Season - 36 fixture in the Serie A (Italy).

Who is favourite to win AC Milan vs Atalanta?

Our statistical model gives AC Milan a 32% chance of winning, Atalanta a 39% chance, and a 29% chance of a draw — making Atalanta the favourite.

Will both teams score in AC Milan vs Atalanta?

Our model estimates a 46% probability that both AC Milan and Atalanta will score (BTTS).

Will AC Milan vs Atalanta have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 39%.

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

Record (9 meetings): AC Milan 3W | Draws 3 | Atalanta 3W.

What form are AC Milan and Atalanta in?

AC Milan (all comps): 4W-1D-5L in 10 | 1.30 PPG | GF 0.70 / GA 1.00 | L5 L-L-W-D-L. Atalanta (all comps): 3W-4D-3L in 10 | 1.30 PPG | GF 1.30 / GA 1.10 | L5 W-L-D-L-D.

🧮 Model Insight

Where the Numbers Come From

Working from AC Milan's attack rating (0.93) and Atalanta's defence rating (0.92), the model arrives at 1.06 expected goals for the home side. Flip it around — Atalanta's attack (1.17x) against AC Milan's defence (0.93x) — and the away total comes out at 1.20.

These ratings are built from 73/73 games of current-season data — a full enough sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-1 emerges as the single most likely result, at 15.0%. Close behind: 0-0 (12.2%), 0-1 (10.8%). Those top three scorelines alone account for 38% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Atalanta Win

32%

AC Milan

3.15

29%

Draw

3.40

39%

Atalanta

2.57

Top 3 Most Likely Scorelines

1 – 1

13.3%

Draw

Most likely

0 – 1

12.6%

Away win

1 – 0

11.1%

Home win

Expected Goals & Win Odds

1.06

AC Milan xG

Total xG

2.26

1.20

Atalanta xG

32%
29%
39%
AC MilanDrawAtalanta

3.15

32%

Home win

3.40

29%

Draw

2.57

39%

Away win

Goals Markets

66%

Over 1.5

1.52

34%

Under 1.5

2.94

39%

Over 2.5

2.56

61%

Under 2.5

1.64

19%

Over 3.5

5.26

81%

Under 3.5

1.23

8%

Over 4.5

12.50

92%

Under 4.5

1.09

Match Markets

Both Teams to Score

46%

BTTS Yes

2.17

54%

BTTS No

1.85

Clean Sheet

30%

AC Milan

3.32

35%

Atalanta

2.88

Win to Nil

10%

AC Milan

10.45

14%

Atalanta

7.41

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 10.5 12.6 7.5 3.0 0.9 0.2
1 11.1 13.3 8.0 3.2 1.0 0.2
2 5.8 7.0 4.2 1.7 0.5 0.1
3 2.1 2.5 1.5 0.6 0.2
4 0.5 0.7 0.4 0.2
5 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) 1.057
λ Away (xG) 1.200
Total xG 2.257
League avg home goals 1.239
League avg away goals 1.105
AC Milan attack strength 0.929
AC Milan defence strength 0.930
Atalanta attack strength 1.168
Atalanta defence strength 0.919
Data phase CurrentSeason
Games used (H/A) 73 / 73

❓ Frequently Asked Questions

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

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 15.0%.

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

The model projects 1.06 expected goals for AC Milan and 1.20 for Atalanta, a combined total of 2.26.

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

Not very — the model's leading outcome sits at just 39%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Recent Form Overview

Across their last 73 outings, AC Milan have picked up 1.78 PPG on a 37W 19D 17L record — L-L-W-D-L across the most recent five.

Atalanta's form line: 36W 21D 16L from 73 games, 1.77 PPG, last five W-L-D-L-D.

There isn't much between them on recent form — 1.78 PPG for AC Milan against 1.77 for Atalanta. Neither side arrives with a clear form advantage.

How They Fare by Venue

On home soil, AC Milan have posted 1.83 PPG from 36 outings (18W 12D 6L).

On the road, Atalanta have gone 18W 10D 8L from 36 away games — 1.78 PPG when travelling.

Attack vs Defence

AC Milan are averaging 1.49 goals scored and 0.99 conceded per game recently; Atalanta are on 1.71 scored and 0.95 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; Atalanta in 38% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 73 Results — Serie A

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

AC Milan

AC Milan

Current Season
L L W D L
Atalanta

Atalanta

Current Season
W L D L D
73 Played 73
37/19/17 W / D / L 36/21/16
1.78 Points Per Game 1.77
1.49 Avg Goals Scored 1.71
0.99 Avg Goals Conceded 0.95
2.48 Avg Goals / Game 2.66
28 Clean Sheets 28
37 BTTS 37
37 Over 2.5 Games 34
AC Milan

AC Milan

L
A Sassuolo
0–2 HT 0–1
03 May
D
H Juventus
0–0 HT 0–0
26 Apr
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
Atalanta

Atalanta

D
H Genoa
0–0 HT 0–0
02 May
L
A Cagliari
2–3 HT 2–2
27 Apr
D
A AS Roma
1–1 HT 1–1
18 Apr
L
H Juventus
0–1 HT 0–0
11 Apr
W
A Lecce
3–0 HT 1–0
06 Apr
W
H Hellas Verona
1–0 HT 1–0
22 Mar
D
A Inter
1–1 HT 0–1
14 Mar
D
H Udinese
2–2 HT 0–1
07 Mar
L
A Sassuolo
1–2 HT 0–1
01 Mar
W
H Napoli
2–1 HT 0–1
22 Feb
W
A Lazio
2–0 HT 1–0
14 Feb
W
H Cremonese
2–1 HT 2–0
09 Feb
D
A Como
0–0 HT 0–0
01 Feb
W
H Parma
4–0 HT 2–0
25 Jan
D
A Pisa
1–1 HT 0–0
16 Jan
W
H Torino
2–0 HT 1–0
10 Jan
W
A Bologna
2–0 HT 1–0
07 Jan
W
H AS Roma
1–0 HT 1–0
03 Jan
L
H Inter
0–1 HT 0–0
28 Dec
W
A Genoa
1–0 HT 0–0
21 Dec
W
H Cagliari
2–1 HT 1–0
13 Dec
L
A Hellas Verona
1–3 HT 0–2
06 Dec
W
H Fiorentina
2–0 HT 1–0
30 Nov
L
A Napoli
1–3 HT 0–3
22 Nov
L
H Sassuolo
0–3 HT 0–1
09 Nov
L
A Udinese
0–1 HT 0–1
01 Nov
D
H AC Milan
1–1 HT 1–1
28 Oct
D
A Cremonese
1–1 HT 0–0
25 Oct
D
H Lazio
0–0 HT 0–0
19 Oct
D
H Como
1–1 HT 1–1
04 Oct
D
A Juventus
1–1 HT 1–0
27 Sep
W
A Torino
3–0 HT 3–0
21 Sep
W
H Lecce
4–1 HT 1–0
14 Sep
D
A Parma
1–1 HT 0–0
30 Aug
D
H Pisa
1–1 HT 0–1
24 Aug
L
H Parma
2–3 HT 2–0
25 May
W
A Genoa
3–2 HT 0–1
17 May
W
H AS Roma
2–1 HT 1–1
12 May
W
A Monza
4–0 HT 2–0
04 May
D
H Lecce
1–1 HT 0–1
27 Apr
W
A AC Milan
1–0 HT 0–0
20 Apr
W
H Bologna
2–0 HT 2–0
13 Apr
L
H Lazio
0–1 HT 0–0
06 Apr
L
A Fiorentina
0–1 HT 0–1
30 Mar
L
H Inter
0–2 HT 0–0
16 Mar
W
A Juventus
4–0 HT 1–0
09 Mar
D
H Venezia
0–0 HT 0–0
01 Mar
W
A Empoli
5–0 HT 3–0
23 Feb
D
H Cagliari
0–0 HT 0–0
15 Feb
W
A Hellas Verona
5–0 HT 4–0
08 Feb
D
H Torino
1–1 HT 1–1
01 Feb
W
A Como
2–1 HT 0–1
25 Jan
L
H Napoli
2–3 HT 1–2
18 Jan
D
H Juventus
1–1 HT 0–0
14 Jan
D
A Udinese
0–0 HT 0–0
11 Jan
D
A Lazio
1–1 HT 0–1
28 Dec
W
H Empoli
3–2 HT 2–1
22 Dec
W
A Cagliari
1–0 HT 0–0
14 Dec
W
H AC Milan
2–1 HT 1–1
06 Dec
W
A AS Roma
2–0 HT 0–0
02 Dec
W
A Parma
3–1 HT 2–0
23 Nov
W
H Udinese
2–1 HT 0–1
10 Nov
W
A Napoli
3–0 HT 2–0
03 Nov
W
H Monza
2–0 HT 0–0
30 Oct
W
H Hellas Verona
6–1 HT 5–1
26 Oct
W
A Venezia
2–0 HT 1–0
20 Oct
W
H Genoa
5–1 HT 1–0
05 Oct
D
A Bologna
1–1 HT 0–0
28 Sep
L
H Como
2–3 HT 1–0
24 Sep
W
H Fiorentina
3–2 HT 3–2
15 Sep
L
A Inter
0–4 HT 0–2
30 Aug
L
A Torino
1–2 HT 1–1
25 Aug
W
A Lecce
4–0 HT 2–0
19 Aug

❓ Frequently Asked Questions

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

AC Milan have gone 37W 19D 17L in their last 73 games (1.78 PPG), while Atalanta have gone 36W 21D 16L in their last 73 (1.77 PPG).

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

AC Milan's home record (1.83 PPG) is the stronger of the two venue-specific splits — AC Milan at home: 1.83 PPG; Atalanta away: 1.78 PPG.

Have AC Milan or Atalanta been keeping clean sheets recently?

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

⚔️ Rivalry Insight

The Rivalry So Far

These sides have met 10 times that we have on record, stretching back to October 2021 — a rivalry that has played out across roughly 4 years. Every recorded meeting has come in Serie A. They last met on 10 May 2026, roughly 3 months ago.

Notable Numbers

Specifically as hosts in this fixture, AC Milan have gone 2W 1D 2L from 5 meetings on their own ground against Atalanta — worth weighing alongside the overall series record.

Last 10 Meetings

AC Milan

3

AC Milan

3

Draws

Atalanta

4

Atalanta

Recent Meetings

AC Milan
2–3
10 May 26
Atalanta
Atalanta
1–1
28 Oct 25
AC Milan
AC Milan
0–1
20 Apr 25
Atalanta
Atalanta
2–1
06 Dec 24
AC Milan
AC Milan
1–1
25 Feb 24
Atalanta
Atalanta
3–2
09 Dec 23
AC Milan
AC Milan
2–0
26 Feb 23
Atalanta
Atalanta
1–1
21 Aug 22
AC Milan
AC Milan
2–0
15 May 22
Atalanta
Atalanta
2–3
03 Oct 21
AC Milan

❓ Frequently Asked Questions

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

From 10 meetings on record, AC Milan have won 3, Atalanta have won 4, and 3 have been drawn.

When did AC Milan and Atalanta last play each other?

They last met on 10 May 2026, when AC Milan 2-3 Atalanta.

Who has won more matches between AC Milan and Atalanta?

Atalanta have the better head-to-head record, with 4 wins from 10 meetings.

📈 Trading Insight

Early Goal Trends

AC Milan are typically involved in an early goal — the half-time board shows at least one in 64% of their matches. They've gone in front at half-time 28% 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.

Atalanta are typically involved in an early goal — the half-time board shows at least one in 72% of their matches. They've gone in front at half-time 36% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 11% of those situations.

Full-Time Markets

BTTS sits in mixed territory for this pairing — AC Milan 47%, Atalanta 44% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 47% (AC Milan) and 47% (Atalanta).

On the defensive side: AC Milan keep a clean sheet in 42% of their matches; Atalanta in 47%.

📈

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

AC Milan AC Milan Current Season
Metric All
(73 games)
Venue
(36 games)
Half-Time Metrics
1+ Goal Before HT 47/73
(64.4%)
23/36
(63.9%)
2+ Goals Before HT 23/73
(31.5%)
12/36
(33.3%)
0-0 HT → 1+ Goal 2nd Half 22/26
(84.6%)
10/13
(76.9%)
0-0 HT → 2+ Goals 2nd Half 12/26
(46.2%)
4/13
(30.8%)
Winning at HT 21/73
(28.8%)
10/36
(27.8%)
Lost Lead (Win HT → No Win FT) 6/73
(8.2%)
2/36
(5.6%)
Came From Behind (Lose HT → Draw/Win FT) 7/73
(9.6%)
5/36
(13.9%)
Full-Time Metrics
BTTS 37/73
(50.7%)
17/36
(47.2%)
Over 2.5 Goals 37/73
(50.7%)
17/36
(47.2%)
Over 3.5 Goals 16/73
(21.9%)
8/36
(22.2%)
Clean Sheet 28/73
(38.4%)
15/36
(41.7%)
Failed to Score 12/73
(16.4%)
7/36
(19.4%)
Atalanta Atalanta Current Season
Metric All
(73 games)
Venue
(36 games)
Half-Time Metrics
1+ Goal Before HT 53/73
(72.6%)
26/36
(72.2%)
2+ Goals Before HT 26/73
(35.6%)
13/36
(36.1%)
0-0 HT → 1+ Goal 2nd Half 14/20
(70%)
8/10
(80%)
0-0 HT → 2+ Goals 2nd Half 8/20
(40%)
5/10
(50%)
Winning at HT 28/73
(38.4%)
13/36
(36.1%)
Lost Lead (Win HT → No Win FT) 3/73
(4.1%)
1/36
(2.8%)
Came From Behind (Lose HT → Draw/Win FT) 9/73
(12.3%)
4/36
(11.1%)
Full-Time Metrics
BTTS 37/73
(50.7%)
16/36
(44.4%)
Over 2.5 Goals 34/73
(46.6%)
17/36
(47.2%)
Over 3.5 Goals 21/73
(28.8%)
11/36
(30.6%)
Clean Sheet 28/73
(38.4%)
17/36
(47.2%)
Failed to Score 14/73
(19.2%)
5/36
(13.9%)

❓ Frequently Asked Questions

Do both teams usually score when AC Milan play Atalanta?

Not especially — both teams scoring has occurred in only 47% of AC Milan's recent matches and 44% of Atalanta's, a rate that leans toward BTTS No.

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

Not particularly — Over 2.5 goals has come in for only 47% of AC Milan's recent games and 47% of Atalanta's, pointing to a tighter contest.

Do AC Milan and Atalanta tend to score early?

AC Milan have had a goal before half-time in 64% of their recent matches, Atalanta in 72% — a useful reference point for first-half goal markets.

📰

Prediction vindicated as Atalanta edge out AC Milan 2-3.

📝 Match Report

How It Unfolded

Atalanta beat AC Milan 2-3 at Stadio Giuseppe Meazza, Regular Season - 36, in the Serie A. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting AC Milan 1.06 xG and Atalanta 1.20 xG, a combined 2.26. The scoreboard read 2-3 for 5 actual goals. AC Milan beat their projection by 0.9 — clinical relative to the chances the model priced in. Atalanta outscored their 1.20 projection by 1.8. Those figures were built on strength ratings of AC Milan attack 0.93 / defence 0.93 against Atalanta attack 1.17 / defence 0.92, drawn from 73/73 games (CurrentSeason).

On the result, the model split it AC Milan 32% | Draw 29% | Atalanta 39%, with Atalanta to win its most likely call at 39%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 39%. The game delivered 5, so it went over — a miss for the goals model. Over 1.5 had been 66% and landed. Over 3.5 was 19% and came in. On both teams to score, the model sat at 46% and the match saw both sides score — a miss on BTTS. Historically the two sides average 49% Over 2.5 across their same-competition games (AC Milan 51%, Atalanta 47%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 51%, which matched the both-scored outcome.

Trading Patterns vs Reality

AC Milan's trading profile (73 games, 36 home) set some clear expectations: BTTS lands in 51% of their matches — today it did; they keep a clean sheet 38% of the time, and conceded here.

Atalanta's trading profile (73 games, 36 away) set some clear expectations: BTTS lands in 51% of their matches — today it did; they keep a clean sheet 38% of the time, and conceded here.

Form vs Result

The form lines were close — AC Milan 1.78 PPG, Atalanta 1.77 PPG — offering no strong steer, and the Atalanta win broke the near-deadlock. AC Milan (home/away splits) shipped 3 against a 0.89 concession average — a leakier day than usual. Atalanta (home/away splits) scored 3 against a 1.78 average — above their attacking norm and shipped 2 against a 0.86 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights

Model Goals market defied the model — 39% Over 2.5 probability, but 5 goals scored.
Model BTTS bucked the model — 46% projected, both teams scored.
Trading Trading data bucked — 49% historical Over 2.5 rate, but the game went over.

⚠️ 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.