· UEFA Nations League
Slovakia
ATT
6/10
DEF
6/10
vs
Faroe Islands
5/10
ATT
5/10
DEF
Scheduled· Fri 13 Nov · 19:45

AI Match Analysis

Over 8.5 corners looks the logical call: Slovakia’s attack wins corners frequently, while the Faroe Islands also create them often and are weaker than average at preventing them. With both sides contributing and Slovakia likely to press for territorial control, sustained pressure should keep the corners coming in this Nations League clash.

Corners Over/UnderOver 8.5
Best Pick
Under 2.5
54%
Correct Score
Top
1-0
12.4%
6.00
Top
1-1
12%
9.00
2-0
9.7%
6.00
2-1
9.4%
9.00
0-0
7.9%
11.00
0-1
7.7%
21.00
1-2
5.8%
29.00
3-0
5.1%
8.00
151%
1.33TOP
X25%
4.75
223%
9.50
1X76%
X248%
1274%

Combined Bet Builder

3 legs

Slovakia look set to take control at home: their sharper attack and sturdy defence give them the edge, while the Faroe Islands’ leaky back line should leave openings for a lively, high-scoring contest. Strelec is a strong anytime-goal shout to lead the charge as Slovakia push for the win and goals pile up.

1Match WinnerSlovakia
2Match GoalsOver 2.5
3GoalscorersAnytime
Confirmed XI4-3-3
23
Greif
2
Mesik
14
Škriniar
21
Obert
16
Hancko
19
Rigo
6
Pokorny
8
Duda
11
Bobcek
15
Strelec
17
Haraslin
Impact Player Hot Head
Slovakia23 players
50.9/ 99Average
Top Rated
1Lubomir SatkaDEF64
2Róbert BoženíkFWD63
3Denis VavroDEF59
Faroe Islands20 players
50.9/ 99Average
Top Rated
1Petur KnudsenFWD71
2Gunnar VatnhamarDEF63
3Emil JoensenMID62
Player Rankings
Snipers
Top goal threats
1
Petur KnudsenFaroe Islands
65
2
Lukas Haraslin  Slovakia
58
3
Ivan SchranzSlovakia
54
4
Leo Sauer Slovakia
52
5
Róbert BoženíkSlovakia
52
Wall
Top defenders
1
Lubomir SatkaSlovakia
79
2
Gunnar VatnhamarFaroe Islands
65
3
Andrias EdmundssonFaroe Islands
64
4
Odmar FærøFaroe Islands
59
5
Denis VavroSlovakia
57
Control
Top playmakers
1
Ondrej DudaSlovakia
65
2
Emil JoensenFaroe Islands
62
3
Stanislav LobotkaSlovakia
60
4
Tomas Suslov Slovakia
52
5
Peter PokornySlovakia
49
Bad Boys
Most likely to get booked
1
Andrias EdmundssonFaroe Islands
20
2
David StrelecSlovakia
25
3
Tomas Suslov Slovakia
26
4
Heini VatnsdalFaroe Islands
27
5
Jóannes DanielsenFaroe Islands
32
Power Rankings
Strongest overall
1
Petur KnudsenFaroe Islands
71
2
Lubomir SatkaSlovakia
64
3
Róbert BoženíkSlovakia
63
4
Gunnar VatnhamarFaroe Islands
63
5
Emil JoensenFaroe Islands
62

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Slovakia vs Faroe Islands 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 Slovakia vs Faroe Islands 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 Slovakia 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 Slovakia vs Faroe Islands 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 Slovakia 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.

HubTodayLiveCorrect ScoreAI SignalsPlayer props