Serie A 2025-2026: Milan vs Atalanta Prediction - 10 May 2026

Result | Under-Over 2.5 | Corners | Shots | Spread

Milan

Home Team
39%
VS

Atalanta

Away Team
37%
Draw: 24%
Over 2.5: 48%
Under 2.5: 52%
Goal: 48%
No Goal: 52%
Expected Corners: 9.5
Expected Shots: 25.2
Expected Spread: -0.1

Current Standings

Pos Team Pl W D L GF GA GD Pts
1 Inter 35 26 4 5 82 31 51 82
2 Napoli 35 21 7 7 52 33 19 70
3 Milan 35 19 10 6 48 29 19 67
4 Juventus 35 18 11 6 58 30 28 65
5 Roma 35 20 4 11 52 29 23 64
6 Como 35 17 11 7 59 28 31 62
7 Atalanta 35 14 13 8 47 32 15 55
8 Lazio 35 13 12 10 39 34 5 51
9 Bologna 35 14 7 14 42 41 1 49
10 Sassuolo 35 14 7 14 43 44 -1 49
11 Udinese 35 13 8 14 43 46 -3 47
12 Parma 35 10 12 13 25 42 -17 42
13 Torino 35 11 8 16 39 58 -19 41
14 Genoa 35 10 10 15 40 48 -8 40
15 Cagliari 35 9 10 16 36 49 -13 37
16 Fiorentina 35 8 13 14 38 49 -11 37
17 Lecce 35 8 8 19 24 47 -23 32
18 Cremonese 35 6 10 19 27 53 -26 28
19 Verona 35 3 11 21 24 57 -33 20
20 Pisa 35 2 12 21 25 63 -38 18

Advanced Metrics (Last 5 games)

Milan

Average Expected Goals (xG): 1.23
Average Expected Goals Against (xGA): 1.32
# Clean Sheets: 2

Atalanta

Average Expected Goals (xG): 1.97
Average Expected Goals Against (xGA): 1.58
# Clean Sheets: 2

Key Prediction Insights

Milan are given a narrow edge at San Siro with a 39.0% chance of victory against Atalanta’s 37.0%, despite the expected goal spread being almost level at -0.06. The model leans towards an under 2.5 goals prediction (48.0% probability) in what looks like a tight, tactical contest. In the table, Milan sit 3rd on 67 points, chasing Champions League security, while 7th-placed Atalanta (55 points) are battling to close the gap to the top four.

Match Analysis

Milan come in from a mixed run: a 1-0 win at Verona, a goalless draw at home to Juventus and a flat 2-0 defeat away to Sassuolo. The pattern is clear – three games with just one goal scored and three conceded, pointing to an attack that is struggling to create clear chances regularly. Their last five matches back this up: only 0.8 goals scored on average, 1.2 conceded, and an xG of 1.234 for versus 1.318 against, suggesting opponents have been edging the quality of chances. Atalanta’s recent form is similarly uneven but more open. A 3-2 defeat at Cagliari is sandwiched between a 0-0 stalemate with Genoa and a 1-1 draw at Roma. Across those three games they’ve scored three and conceded four, with two of them featuring at least two goals. Over the last five, they average 1.6 goals scored and 1.4 conceded, with strong attacking xG at 1.972 for and 1.584 against, underlining that they generally create more than Milan and also allow a bit more at the back.

Under/Over 2.5 Goals Prediction

The model favors under 2.5 (48.0%), and the recent numbers support that under 2.5 call. All three of Milan’s latest matches finished under 2.5 goals (0-2, 0-0, 1-0), with just one goal scored by the Rossoneri. Atalanta have been slightly livelier – one of their last three went clearly over 2.5 (2-3 at Cagliari), while the 0-0 and 1-1 draws stayed under. With Milan averaging 0.8 scored and 1.2 conceded and Atalanta at 1.6 for, 1.4 against, plus relatively modest xG profiles, the over 2.5 prediction is weaker than the under 2.5 scenario.

Corners Prediction

Corners Probability Distribution

Distribution
Probability of each corner count outcome
Cumulative Probability (CDF)
Probability of corners ≤ X
The corners prediction points to around 9.5 total corners, in line with the recent figures for both sides. Milan’s last three games produced 5, 4 and 7 total corners respectively, reflecting a more cautious, lower-volume attacking approach. Atalanta’s matches have been slightly more corner-heavy (8, 10 and 13), which fits their more front-foot style. Taken together, that supports predicted corners around the 9–10 mark in a match where Atalanta push higher and Milan try to control phases rather than bombard the box.

Shots Prediction

Shots Probability Distribution

Distribution
Probability of each shot count outcome
Cumulative Probability (CDF)
Probability of shots ≤ X
The expected shots figure of 25.21 looks realistic for a contest between a cautious Milan and a more proactive Atalanta. Milan’s last three have seen shot totals of 20, 18 and 19, while Atalanta’s have been more expansive at 28, 21 and 27. That blend suggests a shots prediction in the mid‑20s is sensible, especially with Atalanta’s strong attacking xG of 1.972 pulling the overall volume up even if Milan’s recent chance creation has been modest.

Goal Spread Prediction

Goal Spread Probability Distribution

Positive = Milan wins by X goals. Negative = Atalanta wins by X goals.

Distribution
Probability of each goal difference outcome
Goal spread probability distribution for Milan vs Atalanta with expected spread of -0.1
Cumulative Probability (CDF)
Probability of goal difference ≤ X
Cumulative goal spread probability chart for Milan vs Atalanta
The goal spread prediction is essentially a pick’em: an expected spread of -0.06 very slightly tilts towards Atalanta, even though the headline win probabilities lean to a Milan home victory. Milan’s last three results give them a goal difference of -1 (1 scored, 2 conceded), while Atalanta’s is also -1 (3 scored, 4 conceded), underlining how evenly matched they are at the moment. That near-zero expected spread matches the tight win probabilities and the balance between Milan’s defensive solidity and Atalanta’s slightly sharper attack.

Final Prediction

Milan’s edge comes from home advantage and their stronger league position, even if the underlying numbers suggest a very even game. Atalanta’s higher attacking output and xG hint they can trouble Milan, but the Rossoneri’s recent low-scoring pattern pushes the outlook towards a narrow home win under 2.5 goals. The key factor to watch will be whether Atalanta can turn their superior chance creation into goals against a Milan side that has recently preferred control to chaos.

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