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
Best Pick
BTTS
53%
Correct Score
Top
1-1
12.2%
7.50
Top
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%
Combined Bet Builder
3 legs
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
FK Kauno Zalgiris27 players
54.0/ 99Average
Top Rated
1Anton TolordavaDEF96
2Aldayr HernándezDEF90
3Tomas ŠvedkauskasGK89
Brann33 players
48.0/ 99Average
Top Rated
1Fredrik Pallesen Knudsen DEF78
2Nana Kwame BoakyeDEF72
3Bård FinneFWD71
Player Rankings
Snipers
Top goal threats
1
Bård FinneBrann
65
2
Noah HolmBrann
49
3
Renan OliveiraFK Kauno Zalgiris
48
4
Julian LægreidBrann
42
5
Sævar Atli MagnússonBrann
39
Wall
Top defenders
1
Anton TolordavaFK Kauno Zalgiris
99
2
Aldayr HernándezFK Kauno Zalgiris
98
3
Cheikh MbackeBrann
97
4
Lirim KastratiFK Kauno Zalgiris
95
5
Marko KonatarFK Kauno Zalgiris
90
Control
Top playmakers
1
Jacob Lungi SørensenBrann
76
2
Lars RemmemBrann
54
3
Gratas SirgėdasFK Kauno Zalgiris
53
4
Kjartan Már KjartanssonBrann
53
5
Niklas Jensen Wassberg Brann
50
Bad Boys
Most likely to get booked
1
Nosa Iyobosa EdokpolorFK Kauno Zalgiris
1
Aggression 31
2
Davis IkaunieksFK Kauno Zalgiris
1
Aggression 9
3
Renan OliveiraFK Kauno Zalgiris
1
Aggression 52
4
Neraysho KasanwirjoBrann
1
Aggression 46
5
Jón Dagur ThorsteinssonBrann
1
Aggression 57
Power Rankings
Strongest overall
1
Anton TolordavaFK Kauno Zalgiris
96
2
Aldayr HernándezFK Kauno Zalgiris
90
3
Tomas ŠvedkauskasFK Kauno Zalgiris
89
4
Deividas MikelionisFK Kauno Zalgiris
83
5
Eduardas JurjonasFK Kauno Zalgiris
81
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for FK Kauno Zalgiris 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 FK Kauno Zalgiris 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 FK Kauno Zalgiris 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 FK Kauno Zalgiris 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 FK Kauno Zalgiris 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.