Brann’s superior attacking threat should unsettle Kauno Zalgiris, while the visitors’ vulnerable defence offers the hosts a route into the contest. Kauno’s attack may be modest, but the contrasting strengths point to an open, increasingly tense match; the breakthrough is likely to loosen the game and bring the goals needed for over 1.5.
Match GoalsOver 1.5
Migliore scelta
GOL DI ENTRAMBE
53%
Risultato esatto
Eccellente
1-1
12.2%
7.50
Eccellente
1-0
10.4%
15.00
2-1
9.1%
15.00
0-1
8.3%
8.50
2-0
7.7%
26.00
1-2
7.2%
8.50
0-0
7%
13.00
2-2
5.3%
13.00
144%
4.75TOP
X26%
3.80
230%
1.70
1X70%
X256%
1274%
Combinata
3 selezioni
Brann’s sharper attack should make the breakthrough, but its vulnerable defence gives Kauno Zalgiris a clear route to answer. With both sides carrying a credible scoring threat, both teams to score and a goal-rich finish look the natural outcome; Brann’s relentless pressure, matched by the hosts’ home push, should also keep the corner count climbing beyond the line.
1Both Teams to ScoreYes
2Match GoalsOver 2.5
3Corners Over/UnderOver 9.5
Confirmed XI4-4-2
55
Švedkauskas
45
Moutachy
3
Tolordava
23
Hernández
37
Edokpolor
32
Baldassarra
70
Ourega
8
Karashima
15
Ribeiro
7
Benchaib
19
Oliveira
Impact Player Hot Head
Kauno Žalgiris27 giocatori
54.0/ 99Medio
Migliori
1Anton TolordavaDEF96
2Aldayr HernándezDEF90
3Tomas ŠvedkauskasGK89
Brann33 giocatori
48.0/ 99Medio
Migliori
1Fredrik Pallesen Knudsen DEF78
2Nana Kwame BoakyeDEF72
3Bård FinneFWD71
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Bård FinneBrann
65
2
Noah HolmBrann
49
3
Renan OliveiraKauno Žalgiris
48
4
Julian LægreidBrann
42
5
Sævar Atli MagnússonBrann
39
Muro
Migliori difensori
1
Anton TolordavaKauno Žalgiris
99
2
Aldayr HernándezKauno Žalgiris
98
3
Cheikh MbackeBrann
97
4
Lirim KastratiKauno Žalgiris
95
5
Marko KonatarKauno Žalgiris
90
Controllo
Migliori registi
1
Jacob Lungi SørensenBrann
76
2
Lars RemmemBrann
54
3
Gratas SirgėdasKauno Žalgiris
53
4
Kjartan Már KjartanssonBrann
53
5
Niklas Jensen Wassberg Brann
50
Cattivi ragazzi
Più propensi ai cartellini
1
Nosa Iyobosa EdokpolorKauno Žalgiris
1
Aggressività 31
2
Davis IkaunieksKauno Žalgiris
1
Aggressività 9
3
Renan OliveiraKauno Žalgiris
1
Aggressività 52
4
Neraysho KasanwirjoBrann
1
Aggressività 46
5
Jón Dagur ThorsteinssonBrann
1
Aggressività 57
Classifica potenza
Più forti in assoluto
1
Anton TolordavaKauno Žalgiris
96
2
Aldayr HernándezKauno Žalgiris
90
3
Tomas ŠvedkauskasKauno Žalgiris
89
4
Deividas MikelionisKauno Žalgiris
83
5
Eduardas JurjonasKauno Žalgiris
81
Domande frequenti
Our Poisson model calculates the probability of every possible scoreline for Kauno Žalgiris vs Brann 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 Kauno Žalgiris vs Brann 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 Kauno Žalgiris 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 Kauno Žalgiris vs Brann 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 Kauno Žalgiris 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.