Sweden’s attack is running at +21% above average, while Bosnia and Herzegovina bring a lively +13% attacking boost of their own. With both sides carrying clear scoring intent and defenses only marginally stronger than average, this Nations League clash looks set for an open, end-to-end contest. Over 2.5 goals is the logical call as qualification pressure fuels the push forward.
Match GoalsOver 2.5
Best Pick
Under 2.5
52%
Correct Score
Top
1-1
12%
8.50
Top
1-0
11.9%
8.50
2-1
9.4%
8.50
2-0
9.3%
8.50
0-0
7.6%
15.00
0-1
7.6%
19.00
1-2
6.1%
17.00
3-1
4.9%
12.00
150%
1.50TOP
X25%
4.20
224%
6.00
1X75%
X249%
1274%
Combined Bet Builder
5 legs
Sweden’s 1.81 xG and +21% attack power point to sustained pressure, while Bosnia’s 1.07 xG gives both teams to score a credible route. Sweden’s 0.97 first-half xG supports an early goal; combined expected corners reach 8.18, backing over 7.5. With Sweden likely creating chances, Alexander Isak is a strong anytime scorer pick in a match that should clear 2.5 goals.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3First Half Over/UnderOver 0.5
4Corners Over/UnderOver 7.5
5GoalscorersAnytime
Confirmed XI2-7-1
12
Johansson
4
Smith
3
Lindelöf
8
Svensson
5
Gudmundsson
21
Bernhardsson
16
Karlström
6
Ayari
19
Nanasi
22
Zeneli
17
Gyökeres
Impact Player Hot Head
Sweden19 players
49.7/ 99Average
Top Rated
1Yasin AyariMID57
2Alexander BernhardssonFWD56
3Viktor GyökeresFWD55
Bosnia and Herzegovina20 players
48.9/ 99Average
Top Rated
1Stjepan RadeljicDEF62
2Tarik MuharemovićDEF57
3Ivan BasicMID56
Player Rankings
Snipers
Top goal threats
1
Viktor GyökeresSweden
59
2
Alexander BernhardssonSweden
57
3
Alexander IsakSweden
52
4
Edin Džeko Bosnia and Herzegovina
45
5
Esmir BajraktarevićBosnia and Herzegovina
45
Wall
Top defenders
1
Tarik MuharemovićBosnia and Herzegovina
69
2
Nikola KaticBosnia and Herzegovina
60
3
Eric SmithSweden
53
4
Hjalmar EkdalSweden
53
5
Zinedin SmajlovićBosnia and Herzegovina
53
Control
Top playmakers
1
Yasin AyariSweden
57
2
Ivan BasicBosnia and Herzegovina
57
3
Hugo LarssonSweden
53
4
Jesper KarlströmSweden
51
5
Benjamin TahirovićBosnia and Herzegovina
49
Bad Boys
Most likely to get booked
1
Ivan SunjicBosnia and Herzegovina
46
Aggression 49
2
Amar MemicBosnia and Herzegovina
47
Aggression 47
3
Armin GigovicBosnia and Herzegovina
47
Aggression 38
4
Ermin MahmicBosnia and Herzegovina
47
Aggression 49
5
Ermedin DemirovicBosnia and Herzegovina
47
Aggression 45
Power Rankings
Strongest overall
1
Stjepan RadeljicBosnia and Herzegovina
62
2
Yasin AyariSweden
57
3
Tarik MuharemovićBosnia and Herzegovina
57
4
Alexander BernhardssonSweden
56
5
Ivan BasicBosnia and Herzegovina
56
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Sweden vs Bosnia and Herzegovina 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 Sweden vs Bosnia and Herzegovina 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 Sweden 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 Sweden vs Bosnia and Herzegovina 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 Sweden 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.