Atalanta’s +14% attacking edge and Kairat’s lower-ranked 31st-place profile point to sustained home pressure, while Kairat’s attack still rates +1%, leaving room for a contribution. Though both defenses are above average, neither is dominant enough to contain the likely tempo; a 4-goal match appears the most logical outcome.
Match GoalsOver 3.5
Best Pick
BTTS
54%
Correct Score
Top
1-1
11.2%
17.00
Top
1-0
10.4%
11.00
2-1
9.8%
12.00
2-0
9.1%
7.00
0-1
6.4%
41.00
1-2
6%
41.00
0-0
5.9%
23.00
3-1
5.7%
11.00
153%
1.10TOP
X24%
9.00
223%
21.00
1X77%
X247%
1276%
Combined Bet Builder
3 legs
Atalanta’s home pressure should drive a lively contest, with sustained attacks bringing a steady stream of corners. Kairat may be outmatched, but space on the break offers a route to a reply; once the game opens, further goals look likely. Both teams to score, over three and a half goals and over seven and a half corners form a compelling, momentum-led picture.
1Both Teams to ScoreYes
2Match GoalsOver 3.5
3Corners Over/UnderOver 7.5
Confirmed XI2-5-3
29
Carnesecchi
42
Scalvini
40
Obric
77
Zappacosta
47
Bernasconi
8
Pasalić
13
Éderson
99
Elmas
17
Ketelaere
11
Rowe
90
Krstović
Impact Player Hot Head
Atalanta BC31 players
54.9/ 99Average
Top Rated
1Nikola KrstovićFWD92
2Gianluca ScamaccaFWD85
3Giacomo RaspadoriFWD76
FC Kairat Almaty28 players
50.1/ 99Average
Top Rated
1Temirlan Anarbekov GK80
2Lucas ÁfricoDEF79
3Sherkhan KalmurzaGK75
Player Rankings
Snipers
Top goal threats
1
Nikola KrstovićAtalanta BC
99
2
Gianluca ScamaccaAtalanta BC
82
3
Mansur BirkurmanovFC Kairat Almaty
73
4
Giacomo RaspadoriAtalanta BC
71
5
Jonathan RoweAtalanta BC
59
Wall
Top defenders
1
Adlan NurgaliyevFC Kairat Almaty
87
2
Lucas ÁfricoFC Kairat Almaty
85
3
Aleksandr Martynovich FC Kairat Almaty
84
4
Aleksandr ShirobokovFC Kairat Almaty
78
5
Thomas KristensenAtalanta BC
70
Control
Top playmakers
1
Mario PasalićAtalanta BC
80
2
Marten de Roon Atalanta BC
80
3
Lazar SamardžićAtalanta BC
71
4
Gianluca GaetanoAtalanta BC
70
5
Franck KessiéAtalanta BC
66
Bad Boys
Most likely to get booked
1
Raoul BellanovaAtalanta BC
1
Aggression 32
2
Ibrahim SulemanaAtalanta BC
1
Aggression 49
3
Kamaldeen SulemanaAtalanta BC
1
Aggression 38
4
Relja ObricAtalanta BC
15
Aggression 56
5
Berat DjimsitiAtalanta BC
26
Aggression 46
Power Rankings
Strongest overall
1
Nikola KrstovićAtalanta BC
92
2
Gianluca ScamaccaAtalanta BC
85
3
Temirlan Anarbekov FC Kairat Almaty
80
4
Lucas ÁfricoFC Kairat Almaty
79
5
Giacomo RaspadoriAtalanta BC
76
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Atalanta BC vs FC Kairat Almaty 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 FC Kairat Almaty 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 FC Kairat Almaty 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.