· UEFA U21 Championship Qualification
Montenegro U21
ATT
5/10
DEF
4/10
vs
Armenia U21
5/10
ATT
3/10
DEF
Naplánováno· Mon 5 Oct · 14:30
Nejlepší tip
OBÁ SKÓRUJÍ
60%
Přesný výsledek
Výborná
1-1
10.5%
9.50
Výborná
2-1
9.6%
10.45
1-0
8.3%
12.12
2-0
7.5%
13.33
1-2
6.7%
14.91
2-2
6.1%
16.40
3-1
5.8%
17.25
0-1
5.8%
17.28
150%
1.99TOP
X23%
4.35
227%
3.72
1X73%
X250%
1277%
Probable XI4-4-2
Radanović
Djuric
Vukotić
Tomašević
Damjanović
Zekovic
Ćetković
Bajovic
Bulatovic
Kostic
Mrvaljević
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Montenegro U2129 hráči
44.3/ 99Průměrný
Nejlepší
1Dragan MiranovićMID70
2Damjan DakicDEF65
3Andrej KosticFWD57
Armenia U2126 hráči
47.7/ 99Průměrný
Nejlepší
1Andranik HakobyanDEF75
2Hayk KhachatryanGK57
3Artur GharibyanFWD57
Montenegro U2162
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Dragan Miranović70628061
Damjan Dakic65765050
Andrej Kostic57556256
Nemanja Carević55634150
Milan Roganovic50524550
Balša Vukotić48455052
D. Minić46454550
Aleks Zekovic46454550
Andrija Bulatovic46454550
Andrija Kecojević46454550
Kristijan Radunović46454550
Nenad Krivokapić46454550
Petar Vujović46454550
Armenia U2138
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Andranik Hakobyan75984550
Hayk Khachatryan57593950
Artur Gharibyan57652850
Mher Tarloyan56693650
Karlen Hovhannisyan56527050
Artur Askaryan55369952
Edik Vardanyan54555250
Michel Ayvazyan52386261
Davit Hakobyan51515250
Pogos Krmzyan50593550
Suren Tsarukyan49543850
Gor Matinyan47472850
Davit Davtyan46454550
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Artur GharibyanArmenia U21
65
2
Andrej KosticMontenegro U21
55
3
Edik VardanyanArmenia U21
55
4
Milos LalevicMontenegro U21
45
5
Stefan GolubovićMontenegro U21
45
Zeď
Nejlepší obránci
1
Andranik HakobyanArmenia U21
98
2
Damjan DakicMontenegro U21
76
3
Mher TarloyanArmenia U21
69
4
Stefan MelentijevićMontenegro U21
62
5
Pogos KrmzyanArmenia U21
59
Kontrola
Nejlepší tvůrci hry
1
Nemanja CarevićMontenegro U21
63
2
Dragan MiranovićMontenegro U21
62
3
Karlen HovhannisyanArmenia U21
52
4
Davit HakobyanArmenia U21
51
5
Aleks ZekovicMontenegro U21
45
Zlobivci
Nejpravděpodobnější žlutá karta
1
Stefan MelentijevićMontenegro U21
29
2
Petik ManukyanArmenia U21
38
3
Arayik EloyanArmenia U21
44
4
Hamlet SargsyanArmenia U21
46
5
Balša RadanovićMontenegro U21
50
Žebříček síly
Nejsilnější celkově
1
Andranik HakobyanArmenia U21
75
2
Dragan MiranovićMontenegro U21
70
3
Damjan DakicMontenegro U21
65
4
Andrej KosticMontenegro U21
57
5
Hayk KhachatryanArmenia U21
57

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Montenegro U21 vs Armenia U21 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 Montenegro U21 vs Armenia U21 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 Montenegro U21 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 Montenegro U21 vs Armenia U21 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 Montenegro U21 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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