Belarus arrive with a solid attack rated 21% above average, while Albania’s is 13% stronger—both have the firepower to find a breakthrough. Belarus’s sturdy defence and Albania’s stable back line may make chances hard-won, but top-of-table pressure and the drive to strengthen their Nations League position should keep both sides pushing. Both teams to score looks the most logical call as well-backed pick.
Both Teams to ScoreYes
Best Pick
Under 2.5
52%
Correct Score
Top
1-1
11.9%
6.50
Top
1-0
11.9%
10.00
2-0
9.6%
21.00
2-1
9.5%
15.00
0-1
7.4%
6.00
0-0
7.4%
7.00
1-2
5.9%
9.50
3-0
5.1%
41.00
152%
4.20TOP
X25%
3.30
223%
1.90
1X77%
X248%
1275%
Combined Bet Builder
3 legs
Albania’s top-of-table edge and greater attacking threat should prove decisive, while Belarus have enough attacking intent to make this a contest rather than a shutout. With both defences looking vulnerable, both teams to score and more than one goal appear likely; Albania should still find the winning breakthrough.
1Match WinnerAlbania
2Match GoalsOver 1.5
3Both Teams to ScoreYes
Confirmed XI3-6-1
21
Lapoukhov
20
Volkov
13
Gomanov
2
Pechenin
4
Lukashov
8
Selyava
15
Bocherov
22
Kontsevoj
9
Ebong
10
Gromyko
11
Simanenka
Impact Player Hot Head
Belarus22 players
51.5/ 99Average
Top Rated
1Evgeniy YablonskiyMID66
2Trofim MelnichenkoFWD62
3V. BocherovMID58
Albania22 players
53.5/ 99Average
Top Rated
1Mirlind DakuFWD81
2Rey ManajFWD74
3Luis HasaMID67
Player Rankings
Snipers
Top goal threats
1
Mirlind DakuAlbania
82
2
Rey ManajAlbania
78
3
Trofim MelnichenkoBelarus
66
4
Artem ShumanskyBelarus
59
5
Arbër HoxhaAlbania
52
Wall
Top defenders
1
Ardian IsmajliAlbania
64
2
Zakhar VolkovBelarus
59
3
Berat DjimsitiAlbania
57
4
Anton LukashovBelarus
55
5
Roman Begunov Belarus
52
Control
Top playmakers
1
Luis HasaAlbania
73
2
Kristjan AsllaniAlbania
62
3
Evgeniy YablonskiyBelarus
59
4
V. BocherovBelarus
57
5
Klevi QefalijaAlbania
56
Bad Boys
Most likely to get booked
1
German BarkovskiyBelarus
43
Aggression 59
2
Ylber RamadaniAlbania
45
Aggression 65
3
Myrto UzuniAlbania
46
Aggression 64
4
Ivan TikhomirovBelarus
47
Aggression 49
5
Roman Begunov Belarus
47
Aggression 53
Power Rankings
Strongest overall
1
Mirlind DakuAlbania
81
2
Rey ManajAlbania
74
3
Luis HasaAlbania
67
4
Evgeniy YablonskiyBelarus
66
5
Trofim MelnichenkoBelarus
62
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Belarus vs Albania 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 Belarus vs Albania 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 Belarus 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 Belarus vs Albania 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 Belarus 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.