Viking’s explosive home attack should generate sustained pressure, while Sabah’s potent counterpunching threat gives this contest a second scoring avenue. Despite Sabah’s defensive resilience, the attacking balance makes goals likely to carry the total beyond the threshold.
Match GoalsOver 3.5
Лучший выбор
Больше 2.5
70%
Точный счёт
Отличная
2-1
9%
8.50
Отличная
1-1
8.5%
9.50
2-2
6.8%
13.00
3-1
6.4%
11.00
1-2
6.4%
17.00
2-0
6%
9.50
1-0
5.7%
11.00
3-2
4.8%
19.00
152%
1.53TOP
X21%
4.75
228%
5.75
1X73%
X249%
1280%
Экспресс
3 выборов
Viking FK’s 2.37 xG and explosive +74% attack point to sustained home pressure, with 1.23 first-half xG supporting an early lead. Sabah’s 1.17 xG gives Over 2.5 a credible route, while Viking’s defense is 17% stronger than average. Despite Sabah’s resilient back line, Viking should lead at half-time and take the win.
1Match WinnerViking FK
2Match GoalsOver 2.5
3First Half WinnerViking FK
Probable XI3-5-2
Østbø
Bassey
Stensness
Falchener
Bjørdal
Hansen
Bell
Askildsen
Kvia-Egeskog
Cosic
Botheim
Impact Player Hot Head Shooter
Erik Botheim — the danger man up front — one good ball and he is away
Peter Christiansen — always sniffing around the box — the kind of player who just ends up on the scoresheet
Romano Postema — gets in behind constantly, so a goal here would surprise nobody
Составы ещё не объявлены — полный анализ игроков ниже
Viking32 игроков
49.4/ 99Средний
Лучшие
1Henrik FalchenerDEF77
2Henrik HeggheimDEF76
3Jesper DalandDEF69
Sabah29 игроков
53.0/ 99Средний
Лучшие
1Joy-Lance MickelsFWD95
2Aleksey IsayevMID80
3Steve SolvetDEF76
Viking37
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Henrik Falchener77994751
Henrik Heggheim76649673
Jesper Daland69536178
Erik Botheim 69706361
Arild Østbø67718253
Vetle Auklend64418279
Peter Christiansen62535479
Anders Bærtelsen60734547
Sondre Bjørshol60739427
Niklas Fuglestad60535572
Viljar Vevatne57703750
Lubomir Belko5658950
Martin Ove Roseth56544661
Sabah34
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Joy-Lance Mickels95994391
Aleksey Isayev80834384
Steve Solvet76715874
Ravan Mirzammadov69742850
A. McCarthy68586965
Stas Pokatilov6771950
Japhet Dungus Bulus66616561
Tellur Mütallimov66494889
Abdulakh Khaybulayev62359789
Orphé Mbina62681972
Amin Ramazanov 61634550
Ivan Lepinjica60375980
Kaheem Parris57445683
Прогнозы до матча· Составы ещё не объявлены
Бомбардиры
Нападающие с высоким импактом
1
Joy-Lance Mickels
Sabah
Импакт
99
3.69
2
Erik Botheim
Viking
Импакт
70
1.88
3
Orphé Mbina
Sabah
Импакт
68
3.69
4
Niklas Fuglestad
Viking
Импакт
53
2.82
5
Peter Christiansen
Viking
Импакт
53
2.11
6
A. Cosic
Viking
Импакт
49
2.82
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Joy-Lance MickelsSabah
99
2
Erik Botheim Viking
70
3
Orphé MbinaSabah
68
4
Niklas FuglestadViking
53
5
Peter ChristiansenViking
53
Стена
Лучшие защитники
1
Henrik FalchenerViking
99
2
Anders BærtelsenViking
73
3
Sondre BjørsholViking
73
4
Gianni Stensness Viking
71
5
Steve SolvetSabah
71
Контроль
Лучшие плеймейкеры
1
Aleksey IsayevSabah
83
2
Henrik BjørdalViking
65
3
Du QueirozSabah
58
4
Kristoffer AskildsenViking
48
5
Tobias MoiViking
45
Хулиганы
Склонны к карточкам
1
Henrik BjørdalViking
1
Агрессия 57
2
Edvin AustbøViking
1
Агрессия 31
3
Rodrigo FernandesSabah
1
Агрессия 61
4
Kristoffer AskildsenViking
8
Агрессия 60
5
Du QueirozSabah
10
Агрессия 75
Рейтинг силы
Сильнейшие в целом
1
Joy-Lance MickelsSabah
95
2
Aleksey IsayevSabah
80
3
Henrik FalchenerViking
77
4
Henrik HeggheimViking
76
5
Steve SolvetSabah
76
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Viking vs Sabah 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 Viking vs Sabah 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 Viking 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 Viking vs Sabah 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 Viking 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.