· Serie A
Sassuolo
ATT
6/10
DEF
4/10
1:1
Milan
6/10
ATT
6/10
DEF
Конец
Лучший выбор
Меньше 2.5
53%
Точный счёт94′
Отличная
1-1
12.6%
7.00
Отличная
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 — Ожидаемые голы
Sassuolo
Sassuolo ожид.
Milan
Milan ожид.
goal
за 15 мин
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Sassuolo
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
Sassuolo34 игроков
49.0/ 99Средний
Лучшие
1Darryl BakolaMID80
2Vasilije AdžićMID70
3Nicholas PieriniFWD67
Milan30 игроков
48.9/ 99Средний
Лучшие
1Koni De WinterDEF72
2Ardon Jashari MID72
3Luka Modrić MID66
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Nicholas PieriniSassuolo
75
2
Omari Hutchinson Milan
69
3
Riccardo CiervoSassuolo
65
4
Rafael LeãoMilan
63
5
Armand LaurientéSassuolo
58
Стена
Лучшие защитники
1
David OdoguMilan
75
2
Jay IdzesSassuolo
59
3
Matteo GabbiaMilan
59
4
Duje Caleta-CarSassuolo
56
5
Rafa ObradorSassuolo
54
Контроль
Лучшие плеймейкеры
1
Luka Modrić Milan
91
2
Darryl BakolaSassuolo
74
3
Nemanja MaticSassuolo
69
4
Andrea GhionSassuolo
61
5
Ardon Jashari Milan
58
Хулиганы
Склонны к карточкам
1
Nemanja MaticSassuolo
1
2
Rafael LeãoMilan
1
3
Santiago GimenezMilan
1
4
Pervis EstupiñánMilan
4
5
Kristian ThorstvedtSassuolo
5
Рейтинг силы
Сильнейшие в целом
1
Darryl BakolaSassuolo
80
2
Koni De WinterMilan
72
3
Ardon Jashari Milan
72
4
Vasilije AdžićSassuolo
70
5
Nicholas PieriniSassuolo
67

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Sassuolo vs 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 vs 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 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 vs 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 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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