· UEFA Nations League
Cyprus
ATT
5/10
DEF
5/10
vs
Latvia
4/10
ATT
5/10
DEF
Programmata· Mon 5 Oct · 16:00
Migliore scelta
Sotto 2.5
56%
Risultato esatto
Eccellente
1-0
12.7%
7.90
Eccellente
1-1
12.5%
7.99
2-0
9.2%
10.89
2-1
9.1%
11.02
0-0
8.7%
11.46
0-1
8.6%
11.60
1-2
6.2%
16.18
2-2
4.5%
22.30
148%
2.09TOP
X27%
3.77
226%
3.89
1X75%
X253%
1274%
Probable XI4-4-2
Paraskevas
Correia
Christou
Siikkis
Sielis
Charalampous
Kyriakou
Kosti
Satsias
Kakoullis
Neofytou
Impact Player Hot Head
Formazioni non ancora annunciate — analisi completa della rosa sotto
Cyprus17 giocatori
50.7/ 99Medio
Migliori
1Angelos NeofytouFWD83
2Kostas PileasDEF73
3Kostakis ArtymatasMID58
Latvia19 giocatori
50.8/ 99Medio
Migliori
1Lukass VapneMID62
2Dario SitsFWD62
3Maksims TonisevsDEF58
Cyprus40
PlayerValutazioneImpattoAggressivitàDisciplina
Angelos Neofytou83994550
Kostas Pileas73649256
Kostakis Artymatas58485667
Andreas Siikkis54535056
Hector Kyprianou53475161
Stavros Georgiou52457456
Loizos Loizou50514550
Giorgos Malekkidis49494850
Panagiotis Andreou48484550
Fabiano47473950
Grigoris Kastanos47605829
Nikolas Panagiotou45474150
Andronikos Kakoullis45454550
Latvia33
PlayerValutazioneImpattoAggressivitàDisciplina
Lukass Vapne62475478
Dario Sits62586761
Maksims Tonisevs58476461
Eduards Emsis58525661
Andrejs Ciganiks55495261
Dennis Cirkin 54454767
Rihards Matrevics53542850
Raivis Jurkovskis51564550
Dmitrijs Zelenkovs51584246
Roberts Uldrikis 51425072
Antonijs Cernomordijs 50484953
Deniss Melniks50484556
Markuss Strods50524550
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Angelos NeofytouCyprus
99
2
Dario SitsLatvia
58
3
Ioannis PittasCyprus
57
4
Loizos LoizouCyprus
51
5
Vladislavs GutkovskisLatvia
48
Muro
Migliori difensori
1
Kostas PileasCyprus
64
2
Roberts VeipsLatvia
60
3
Raivis JurkovskisLatvia
56
4
Andreas SiikkisCyprus
53
5
Konstantinos SotiriouCyprus
52
Controllo
Migliori registi
1
Grigoris KastanosCyprus
60
2
Dmitrijs ZelenkovsLatvia
58
3
Eduards EmsisLatvia
52
4
Markuss StrodsLatvia
52
5
Kristaps GrabovskisLatvia
51
Cattivi ragazzi
Più propensi ai cartellini
1
Vladislavs GutkovskisLatvia
2
2
Konstantinos SotiriouCyprus
7
3
Ioannis PittasCyprus
15
4
Giannis KostiCyprus
24
5
Daniels BalodisLatvia
26
Classifica potenza
Più forti in assoluto
1
Angelos NeofytouCyprus
83
2
Kostas PileasCyprus
73
3
Lukass VapneLatvia
62
4
Dario SitsLatvia
62
5
Kostakis ArtymatasCyprus
58

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Cyprus vs Latvia 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 Cyprus vs Latvia 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 Cyprus 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 Cyprus vs Latvia 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 Cyprus 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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