Atalanta’s territorial pressure and steady stream of attacking set pieces should force the breakthrough, while Frosinone may have to abandon its cautious shape and respond. That shift points toward an increasingly open contest, with the goals threshold likely surpassed.
Match GoalsOver 2.5
Best Pick
Under 2.5
53%
Correct Score
Top
1-1
12.1%
8.50
Top
1-0
12.1%
13.00
2-1
9.4%
9.00
2-0
9.4%
12.00
0-0
7.8%
21.00
0-1
7.8%
21.00
1-2
6%
15.00
3-0
4.9%
17.00
150%
1.75TOP
X26%
4.00
224%
4.33
1X76%
X250%
1274%
Combined Bet Builder
3 legs
Atalanta’s 2.12 xG gives them the attacking edge, while their defense is 31% stronger than average, making Atalanta or draw the logical result. Frosinone’s 0.84 xG still offers a route to the third goal, and combined expected corners of 9.89 support over 8.5. The match profile points toward a high-tempo game with goals and sustained pressure.
1Double ChanceAtalanta BC or Draw
2Match GoalsOver 2.5
3Corners Over/UnderOver 8.5
Confirmed XI2-5-3
29
Carnesecchi
31
Kristensen
40
Obric
16
Bellanova
47
Bernasconi
70
Gaetano
13
Éderson
99
Elmas
17
Ketelaere
11
Rowe
90
Krstović
Impact Player Hot Head
Atalanta BC31 players
53.7/ 99Average
Top Rated
1Nikola KrstovićFWD88
2Gianluca ScamaccaFWD75
3Lazar SamardžićMID73
Frosinone22 players
59.0/ 99Strong
Top Rated
1Wisdom Amey DEF92
2Giorgio CittadiniDEF83
3Ilario MonterisiDEF79
Player Rankings
Snipers
Top goal threats
1
Nikola KrstovićAtalanta BC
99
2
Gianluca ScamaccaAtalanta BC
76
3
Antonio RaimondoFrosinone
76
4
Tomas BobcekFrosinone
68
5
Giacomo RaspadoriAtalanta BC
66
Wall
Top defenders
1
Wisdom Amey Frosinone
99
2
Giorgio CittadiniFrosinone
77
3
Thomas KristensenAtalanta BC
76
4
Berat DjimsitiAtalanta BC
66
5
Ilario MonterisiFrosinone
65
Control
Top playmakers
1
Mario PasalićAtalanta BC
74
2
Marten de Roon Atalanta BC
73
3
Giacomo CalòFrosinone
73
4
Luis HasaFrosinone
71
5
Gianluca GaetanoAtalanta BC
66
Bad Boys
Most likely to get booked
1
Raoul BellanovaAtalanta BC
1
Aggression 30
2
Kamaldeen SulemanaAtalanta BC
1
Aggression 42
3
Gabriele BracagliaFrosinone
5
Aggression 62
4
Ibrahim SulemanaAtalanta BC
14
Aggression 51
5
Gabriele CalvaniFrosinone
20
Aggression 56
Power Rankings
Strongest overall
1
Wisdom Amey Frosinone
92
2
Nikola KrstovićAtalanta BC
88
3
Giorgio CittadiniFrosinone
83
4
Ilario MonterisiFrosinone
79
5
Giacomo CalòFrosinone
76
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Atalanta BC vs Frosinone 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 Atalanta BC vs Frosinone 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 Atalanta BC 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 Atalanta BC vs Frosinone 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 Atalanta BC 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.