· Serie A
Sassuolo Calcio
ATT
6/10
DEF
4/10
1:1
AC Milan
6/10
ATT
6/10
DEF
Bitti
En iyi tahmin
Alt 2.5
53%
Doğru skor94′
Mükemmel
1-1
12.6%
7.00
Mükemmel
1-0
10.3%
15.00
0-1
9.3%
9.00
2-1
8.5%
15.00
1-2
7.7%
8.50
0-0
7.6%
13.00
2-0
7%
23.00
0-2
5.7%
9.50
140%
2.52TOP
X26%
3.77
234%
2.96
1X66%
X260%
1274%
xG — Beklenen goller
Sassuolo Calcio
Sassuolo Calcio bekl.
AC Milan
AC Milan bekl.
goal
15 dk'da bir
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Sassuolo Calcio
AC Milan
Confirmed XI4-3-3
49
Murić
20
Brempt
15
Caleta-Car
16
Leysen
3
Doig
17
Adžić
18
Matic
50
Bakola
10
Berardi
94
Esposito
45
Laurienté
Impact Player Hot Head
Sassuolo Calcio34 oyuncu
49.0/ 99Orta
En İyiler
1Darryl BakolaMID80
2Vasilije AdžićMID70
3Nicholas PieriniFWD67
AC Milan30 oyuncu
48.9/ 99Orta
En İyiler
1Koni De WinterDEF72
2Ardon Jashari MID72
3Luka Modrić MID66
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Nicholas PieriniSassuolo Calcio
75
2
Omari Hutchinson AC Milan
69
3
Riccardo CiervoSassuolo Calcio
65
4
Rafael LeãoAC Milan
63
5
Armand LaurientéSassuolo Calcio
58
Duvar
En iyi savunmacılar
1
David OdoguAC Milan
75
2
Jay IdzesSassuolo Calcio
59
3
Matteo GabbiaAC Milan
59
4
Duje Caleta-CarSassuolo Calcio
56
5
Rafa ObradorSassuolo Calcio
54
Kontrol
En iyi oyun kurucular
1
Luka Modrić AC Milan
91
2
Darryl BakolaSassuolo Calcio
74
3
Nemanja MaticSassuolo Calcio
69
4
Andrea GhionSassuolo Calcio
61
5
Ardon Jashari AC Milan
58
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Nemanja MaticSassuolo Calcio
1
2
Rafael LeãoAC Milan
1
3
Santiago GimenezAC Milan
1
4
Pervis EstupiñánAC Milan
4
5
Kristian ThorstvedtSassuolo Calcio
5
Güç sıralaması
Genel olarak en güçlüler
1
Darryl BakolaSassuolo Calcio
80
2
Koni De WinterAC Milan
72
3
Ardon Jashari AC Milan
72
4
Vasilije AdžićSassuolo Calcio
70
5
Nicholas PieriniSassuolo Calcio
67

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Sassuolo Calcio vs AC Milan based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Sassuolo Calcio vs AC Milan match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Sassuolo Calcio has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Sassuolo Calcio vs AC Milan without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Sassuolo Calcio a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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